<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">medvis</journal-id><journal-title-group><journal-title xml:lang="ru">Медицинская визуализация</journal-title><trans-title-group xml:lang="en"><trans-title>Medical Visualization</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1607-0763</issn><issn pub-type="epub">2408-9516</issn><publisher><publisher-name>RDS-Media Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24835/1607-0763-1220</article-id><article-id custom-type="elpub" pub-id-type="custom">medvis-1220</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>БРЮШНАЯ ПОЛОСТЬ И ЗАБРЮШИННОЕ ПРОСТРАНСТВО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ABDOMEN AND RETROPERITONEAL</subject></subj-group></article-categories><title-group><article-title>Перфузионная компьютерная томография в диагностике заболеваний почек (обзор литературы)</article-title><trans-title-group xml:lang="en"><trans-title>Application of perfusion computed tomography in renal diseases (review of literature)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9474-1074</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ломоносова</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Lomonosova</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ломоносова Елена Владимировна – врач-рентгенолог отделения компьютерной и магнитно-резонансной томографии</p><p>125284 Москва, 2-й Боткинский проезд, 3</p></bio><bio xml:lang="en"><p>Elena V. Lomonosova – radiologist, Department of computed tomography and magnetic resonance imaging</p><p>3, 2nd Botkinskiy pr., Moscow 125284</p></bio><email xlink:type="simple">elena_kryaneva@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4030-3212</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гольбиц</surname><given-names>А. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Golbits</surname><given-names>A. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гольбиц Александра Борисовна – врач-рентгенолог отделения компьютерной и магнитно-резонансной томографии</p><p>125284 Москва, 2-й Боткинский проезд, 3</p></bio><bio xml:lang="en"><p>Aleksandra B. Golbits – radiologist, Department of computed tomography and magnetic resonance imaging</p><p>3, 2nd Botkinskiy pr., Moscow 125284</p></bio><email xlink:type="simple">a_golbits@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8378-4338</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рубцова</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Rubtsova</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Рубцова Наталья Алефтиновна – доктор медицинских наук, руководитель отдела лучевой диагностики</p><p>125284 Москва, 2-й Боткинский проезд, 3</p></bio><bio xml:lang="en"><p>Natalia A. Rubtsova – Doct. of Sci. (Med.), Head of Radiology Department</p><p>3, 2nd Botkinskiy pr., Moscow 125284</p></bio><email xlink:type="simple">rna17@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3398-4128</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алексеев</surname><given-names>Б. Я.</given-names></name><name name-style="western" xml:lang="en"><surname>Alekseev</surname><given-names>B. Ya.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексеев Борис Яковлевич – доктор медицинских. наук, профессор, заместитель генерального директора по научной работе ФГБУ “НМИЦ радиологии” Минздрава России</p><p>125284 Москва, 2-й Боткинский проезд, 3; 125080 Москва, Волоколамское шоссе, д. 11</p></bio><bio xml:lang="en"><p>Boris Ya. Alekseev – Doct. of Sci. (Med.), Professor, Deputy of General director of scientific affairs “National Medical Research Center of Radiology” o</p><p>3, 2nd Botkinskiy pr., Moscow 125284; 11, Volokolamskoye shosse, Moscow 125080</p></bio><email xlink:type="simple">byalekseev@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8784-8415</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Каприн</surname><given-names>А. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Kaprin</surname><given-names>A. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Каприн Андрей Дмитриевич – академик РАН, член-корр. РАО, доктор медицинских наук, профессор, генеральный директор ФГБУ “НМИЦ радиологии” Минздрава России; заведующий кафедрой урологии и оперативной нефрологии с курсом онкоурологии медицинского факультета, медицинского института ФГАОУ ВО “Российский университет дружбы народов”</p><p>125284 Москва, 2-й Боткинский проезд, 3; 117198 Москва, ул. Миклухо-Маклая, 6</p></bio><bio xml:lang="en"><p>Andrey D. Kaprin – Full Member of the Russian Academy of Sciences, Corresponding Member of Russian Academy of Education, Doct. of Sci. (Med.), Professor, General Director; Head of Department of urology and surgical nephrology with a course of oncourology at the medical faculty of medical institute</p><p>3, 2nd Botkinskiy pr., Moscow 125284; 6, Miklukho-Maklay str., Moscow 117198</p></bio><email xlink:type="simple">kaprin@mail.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский научно-исследовательский онкологический институт им. П.А. Герцена – филиал ФГБУ “НМИЦ радиологии” Минздрава России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Research Oncological Institute named after P.A. Herzen – branch of “National Medical Research Center of Radiology” Ministry of Healthcare of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский научно-исследовательский онкологический институт им. П.А. Герцена – филиал ФГБУ “НМИЦ радиологии” Минздрава России; &#13;
ФГБОУ ВО “Российский биотехнологический университет”</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Research Oncological Institute named after P.A. Herzen – branch of “National Medical Research Center of Radiology” Ministry of Healthcare of Russia; &#13;
Russian Biotechnological University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Московский научно-исследовательский онкологический институт им. П.А. Герцена – филиал ФГБУ “НМИЦ радиологии” Минздрава России; &#13;
ФГАОУ ВО “Российский университет дружбы народов” Минобрнауки России</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Research Oncological Institute named after P.A. Herzen – branch of “National Medical Research Center of Radiology” Ministry of Healthcare of Russia; &#13;
Peoples' Friendship University of Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>06</day><month>04</month><year>2023</year></pub-date><volume>27</volume><issue>2</issue><fpage>85</fpage><lpage>98</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ломоносова Е.В., Гольбиц А.Б., Рубцова Н.А., Алексеев Б.Я., Каприн А.Д., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Ломоносова Е.В., Гольбиц А.Б., Рубцова Н.А., Алексеев Б.Я., Каприн А.Д.</copyright-holder><copyright-holder xml:lang="en">Lomonosova E.V., Golbits A.B., Rubtsova N.A., Alekseev B.Y., Kaprin A.D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://medvis.rdsmedia.ru/jour/article/view/1220">https://medvis.rdsmedia.ru/jour/article/view/1220</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования: провести анализ литературных данных по использованию КТ-перфузии при заболеваниях почек и оценить дальнейшие перспективы применения методики в клинической практике.</p></sec><sec><title>Материал и методы</title><p>Материал и методы. В электронных базах данных (PubMed, E-library, Web of Science, Google Scholar) был проведен поиск опубликованных исследований, оценивающих возможности применения КТ-перфузии при заболеваниях почек как неопластического, так и неопухолевого характера. В статье проанализированы результаты 40 наиболее релевантных работ российских и зарубежных исследователей, посвященных этой тематике.</p></sec><sec><title>Результаты</title><p>Результаты. Согласно анализу полученных данных, перфузионная КТ является эффективным диагностическим инструментом в онкологии: методика позволяет неинвазивно оценить характер новообразования, в том числе дифференцировать доброкачественные узлы (ангиомиолипому с низким содержанием жира и онкоцитому) от рака почки, установить гистологический вариант почечно-клеточного рака и степень злокачественности опухоли по Fuhrman, охарактеризовать эффективность аблативных методик и системного лечения рака почки. Базируясь на корреляции данных КТ-перфузии почек и результатов различных методов определения функции органа, доказана возможность применения перфузионной КТ в качестве одного из прогностических факторов для определения тактики лечения больных с обструктивными уропатиями, аортомезентериальной компрессией, а также показан потенциал использования методики в трансплантологии как у пациентов после проведенной операции, так и при обследовании доноров.</p></sec><sec><title>Заключение</title><p>Заключение. Несмотря на то что роль КТ-перфузии почек в различных областях урологии и нефрологии достаточно изучена, некоторые важные аспекты вероятного применения этой методики остаются недооцененными. С учетом высоких показателей заболеваемости и значимого процента локализованных форм опухолей изучение роли КТ-перфузии в планировании и оценке результатов органосохраняющего лечения рака почки может открыть новые перспективы в оптимизации хирургической тактики.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose</title><p>Purpose. To analyze the literature data on the use of CT perfusion in kidney diseases and to assess the future prospects of using the technique in clinical practice.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. In electronic databases (PubMed, E-library, Web of Science, Google Scholar), a search was conducted for published studies evaluating the possibilities of using CT perfusion in both neoplastic and non-neoplastic kidney diseases. The article analyzes the results of 40 most relevant works of Russian and foreign researchers devoted to this topic.</p></sec><sec><title>Results</title><p>Results. According to the analysis of the data obtained, perfusion CT is an effective diagnostic tool in oncology: the technique allows noninvasively assessing the nature of the tumour, including differentiating benign nodes (fat-poor angiomyolipoma and oncocytoma) from renal cell carcinoma; to establish the histological variant of renal cell carcinoma and Fuhrman grade, to characterize the effectiveness of ablative techniques and systemic treatment of renal cell carcinoma. Based on the correlation of CT kidney perfusion data and the results of various methods for determining organ function, the possibility of using perfusion CT as one of the prognostic factors for determining the tactics of treatment of patients with obstructive uropathies, aortomesenteric compression, and also shows the potential of using the technique in transplantology both in patients after surgery and during the examination of donors.</p></sec><sec><title>Conclusions</title><p>Conclusions. Despite the fact that the role of CT kidney perfusion in various fields of urology and nephrology has been sufficiently studied, some important aspects of the likely application of this technique remain underestimated. Taking into account the high incidence rates and a significant percentage of localized forms of tumors, the study of the role of CT perfusion in planning and evaluating the results of nephron-sparing treatment of renal cell carcinoma may open up new prospects in optimizing surgical tactics.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>перфузионная компьютерная томография</kwd><kwd>опухоль почки</kwd><kwd>резекция почки</kwd><kwd>сосудистые заболевания почек</kwd><kwd>обструктивная уропатия</kwd><kwd>количественная оценка функции почки</kwd></kwd-group><kwd-group xml:lang="en"><kwd>perfusion computed tomography</kwd><kwd>renal tumor</kwd><kwd>partial nephrectomy</kwd><kwd>vascular renal diseases</kwd><kwd>obstructive uropathy</kwd><kwd>estimated renal function</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Axel L. Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. Radiology. 1980; 137 (3): 679–686. http://doi.org/10.1148/radiology.137.3.7003648</mixed-citation><mixed-citation xml:lang="en">Axel L. Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. Radiology. 1980; 137 (3): 679–686. http://doi.org/10.1148/radiology.137.3.7003648</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Koh T., Tan C., Cheong L. et al. Cerebral perfusion mapping using a robust and efficient method for deconvolution analysis of dynamic contrast-enhanced images. Neuroimage. 2006; 32 (2): 643–653. http://doi.org/10.1016/j.neuroimage.2006.03.042</mixed-citation><mixed-citation xml:lang="en">Koh T., Tan C., Cheong L. et al. Cerebral perfusion mapping using a robust and efficient method for deconvolution analysis of dynamic contrast-enhanced images. Neuroimage. 2006; 32 (2): 643–653. http://doi.org/10.1016/j.neuroimage.2006.03.042</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Schaefer P., Roccatagliata L., Ledezma C. et al. First-pass quantitative CT perfusion identifies thresholds for salvageable penumbra in acute stroke patients treated with intra-arterial therapy. Am. J. Neuroradiol. 2006; 27 (1): 20–25. PMID: 16418350</mixed-citation><mixed-citation xml:lang="en">Schaefer P., Roccatagliata L., Ledezma C. et al. First-pass quantitative CT perfusion identifies thresholds for salvageable penumbra in acute stroke patients treated with intra-arterial therapy. Am. J. Neuroradiol. 2006; 27 (1): 20–25. PMID: 16418350</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">d'Esterre C., Roversi G., Padroni M. et al. CT perfusion cerebral blood volume does not always predict infarct core in acute ischemic stroke. Neurol. Sci. 2015; 36 (10): 1777–1783. http://doi.org/10.1007/s10072-015-2244-8</mixed-citation><mixed-citation xml:lang="en">d'Esterre C., Roversi G., Padroni M. et al. CT perfusion cerebral blood volume does not always predict infarct core in acute ischemic stroke. Neurol. Sci. 2015; 36 (10): 1777–1783. http://doi.org/10.1007/s10072-015-2244-8</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Murphy B., Fox A., Lee D. et al. Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements. Stroke. 2006; 37 (7): 1771–1777. http://doi.org/10.1161/01.STR.0000227243.96808.53</mixed-citation><mixed-citation xml:lang="en">Murphy B., Fox A., Lee D. et al. Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements. Stroke. 2006; 37 (7): 1771–1777. http://doi.org/10.1161/01.STR.0000227243.96808.53</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Alves J., Carneiro Â., Xavier J. Reliability of CT perfusion in the evaluation of the ischaemic penumbra. Neuroradiol. J. 2014; 27 (1): 91–95. http://doi.org/10.15274/NRJ-2014-10010</mixed-citation><mixed-citation xml:lang="en">Alves J., Carneiro Â., Xavier J. Reliability of CT perfusion in the evaluation of the ischaemic penumbra. Neuroradiol. J. 2014; 27 (1): 91–95. http://doi.org/10.15274/NRJ-2014-10010</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Konig M., Banach-Planchamp R., Kraus M. et al. CT perfusion imaging in acute ischemic cerebral infarct: comparison of cerebral perfusion maps and conventional CT findings. Rofo. 2000; 172 (3): 219–226. German. http://doi.org/10.1055/s-2000-120. PMID: 10778451</mixed-citation><mixed-citation xml:lang="en">Konig M., Banach-Planchamp R., Kraus M. et al. CT perfusion imaging in acute ischemic cerebral infarct: comparison of cerebral perfusion maps and conventional CT findings. Rofo. 2000; 172 (3): 219–226. German. http://doi.org/10.1055/s-2000-120. PMID: 10778451</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Koenig M., Kraus M., Theek C. et al. Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke. 2001; 32 (2): 431–437. http://doi.org/10.1161/01.str.32.2.431</mixed-citation><mixed-citation xml:lang="en">Koenig M., Kraus M., Theek C. et al. Quantitative assessment of the ischemic brain by means of perfusion-related parameters derived from perfusion CT. Stroke. 2001; 32 (2): 431–437. http://doi.org/10.1161/01.str.32.2.431</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Miles K., Hayball., Dixon A. Colour perfusion imaging: a new application of computed tomography. Lancet. 1991; 337 (8742): 643–645. http://doi.org/10.1016/0140-6736(91)92455-b</mixed-citation><mixed-citation xml:lang="en">Miles K., Hayball., Dixon A. Colour perfusion imaging: a new application of computed tomography. Lancet. 1991; 337 (8742): 643–645. http://doi.org/10.1016/0140-6736(91)92455-b</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Kambadakone A., Sahani D. Body perfusion CT: technique, clinical applications, and advances. Radiol. Clin. N. Am. 2009; 47 (1): 161–178. http://doi.org/10.1016/j.rcl.2008.11.003.</mixed-citation><mixed-citation xml:lang="en">Kambadakone A., Sahani D. Body perfusion CT: technique, clinical applications, and advances. Radiol. Clin. N. Am. 2009; 47 (1): 161–178. http://doi.org/10.1016/j.rcl.2008.11.003.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Petralia G., Bonello L., Viotti S. et al. CT perfusion in oncology: how to do it. Cancer Imaging. 2010; 10 (1): 8–19. http://doi.org/10.1102/1470-7330.2010.0001</mixed-citation><mixed-citation xml:lang="en">Petralia G., Bonello L., Viotti S. et al. CT perfusion in oncology: how to do it. Cancer Imaging. 2010; 10 (1): 8–19. http://doi.org/10.1102/1470-7330.2010.0001</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Garcia-Figueiras R., Goh V., Padhani A. et al. CT perfusion in oncologic imaging: a useful tool? Am. J. Roentgenol. 2013; 200 (1): 8–19. http://doi.org/10.2214/AJR.11.8476</mixed-citation><mixed-citation xml:lang="en">Garcia-Figueiras R., Goh V., Padhani A. et al. CT perfusion in oncologic imaging: a useful tool? Am. J. Roentgenol. 2013; 200 (1): 8–19. http://doi.org/10.2214/AJR.11.8476</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Sitartchouk I., Roberts H., Pereira A. et al. Computed tomography perfusion using first pass methods for lung nodule characterization. Invest. Radiol. 2008; 43: 349–358. http://doi.org/10.1097/RLI.0b013e3181690148</mixed-citation><mixed-citation xml:lang="en">Sitartchouk I., Roberts H., Pereira A. et al. Computed tomography perfusion using first pass methods for lung nodule characterization. Invest. Radiol. 2008; 43: 349–358. http://doi.org/10.1097/RLI.0b013e3181690148</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Sahani D., Holalkere N., Mueller P. et al. Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue-initial experience. Radiology. 2007; 243: 736–743. http://doi.org/10.1148/radiol.2433052020</mixed-citation><mixed-citation xml:lang="en">Sahani D., Holalkere N., Mueller P. et al. Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue-initial experience. Radiology. 2007; 243: 736–743. http://doi.org/10.1148/radiol.2433052020</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Rumboldt Z., Al-Okaili R., Deveikis J. Perfusion CT for head and neck tumors: pilot study. Am. J. Neuroradiol. 2005; 26: 1178–1785. PMID: 15891181</mixed-citation><mixed-citation xml:lang="en">Rumboldt Z., Al-Okaili R., Deveikis J. Perfusion CT for head and neck tumors: pilot study. Am. J. Neuroradiol. 2005; 26: 1178–1785. PMID: 15891181</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Li Y., Yang Z., Chen T., Chen H. et al. Peripheral lung carcinoma: correlation of angiogenesis and first-pass perfusion parameters of 64-detector row CT. Lung Cancer. 2008; 61: 44–53. http://doi.org/10.1016/j.lungcan.2007.10.021.</mixed-citation><mixed-citation xml:lang="en">Li Y., Yang Z., Chen T., Chen H. et al. Peripheral lung carcinoma: correlation of angiogenesis and first-pass perfusion parameters of 64-detector row CT. Lung Cancer. 2008; 61: 44–53. http://doi.org/10.1016/j.lungcan.2007.10.021.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">d’Assignies G., Couvelard A., Bahrami S. et al. Pancreatic endocrine tumors: tumor blood flow assessed with perfusion CT reflects angiogenesis and correlates with prognostic factors. Radiology. 2008; 250: 407_16. http://doi.org/10.1148/radiol.2501080291.</mixed-citation><mixed-citation xml:lang="en">d’Assignies G., Couvelard A., Bahrami S. et al. Pancreatic endocrine tumors: tumor blood flow assessed with perfusion CT reflects angiogenesis and correlates with prognostic factors. Radiology. 2008; 250: 407_16. http://doi.org/10.1148/radiol.2501080291.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Feng S., Sun C., Li Z. et al. Evaluation of microvessel density and vascular endothelial growth factor in colorectal carcinoma with 64-multidetector-row CT perfusion imaging. Zhonghua Wei Chang Wai Ke Za Zhi. 2008; 11: 537–541. PMID: 19031129</mixed-citation><mixed-citation xml:lang="en">Feng S., Sun C., Li Z. et al. Evaluation of microvessel density and vascular endothelial growth factor in colorectal carcinoma with 64-multidetector-row CT perfusion imaging. Zhonghua Wei Chang Wai Ke Za Zhi. 2008; 11: 537–541. PMID: 19031129</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Grenier N., Cornelis F., Le Bras Y. et al. Perfusion imaging in renal diseases. Diagn. Interv. Imaging. 2013; 94 (12): 1313–1322. http://doi.org/10.1016/j.diii.2013.08.018</mixed-citation><mixed-citation xml:lang="en">Grenier N., Cornelis F., Le Bras Y. et al. Perfusion imaging in renal diseases. Diagn. Interv. Imaging. 2013; 94 (12): 1313–1322. http://doi.org/10.1016/j.diii.2013.08.018</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Das C., Thingujam U., Panda A. et al. Perfusion computed tomography in renal cell carcinoma. Wld J. Radiol. 2015; 7 (7): 170–179. http://doi.org/10.4329/wjr.v7.i7.170</mixed-citation><mixed-citation xml:lang="en">Das C., Thingujam U., Panda A. et al. Perfusion computed tomography in renal cell carcinoma. Wld J. Radiol. 2015; 7 (7): 170–179. http://doi.org/10.4329/wjr.v7.i7.170</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Prezzi D., Khan A., Goh V. Perfusion CT imaging of treatment response in oncology. Eur. J. Radiol. 2015; 84 (12): 2380–2385. http://doi.org/10.1016/j.ejrad.2015.03.022</mixed-citation><mixed-citation xml:lang="en">Prezzi D., Khan A., Goh V. Perfusion CT imaging of treatment response in oncology. Eur. J. Radiol. 2015; 84 (12): 2380–2385. http://doi.org/10.1016/j.ejrad.2015.03.022</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">El-Diasty M., Gaballa G., Gad H. et al. Evaluation of CT perfusion parameters for assessment of split renal function in healthy donors. Egypt. J. Radiol. Nuclear Med. 2016; 47 (4): 1681–1688. http://doi.org/10.1016/j.ejrnm.2016.07.017</mixed-citation><mixed-citation xml:lang="en">El-Diasty M., Gaballa G., Gad H. et al. Evaluation of CT perfusion parameters for assessment of split renal function in healthy donors. Egypt. J. Radiol. Nuclear Med. 2016; 47 (4): 1681–1688. http://doi.org/10.1016/j.ejrnm.2016.07.017</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Cai X.-R., Zhou Q.C., Yu J. et al. Assessment of renal function in patients with unilateral ureteral obstruction using whole-organ perfusion imaging with 320-detector row computed tomography. PLoS One. 2015; 10 (4): e0122454. http://doi.org/10.1371/journal.pone.0122454</mixed-citation><mixed-citation xml:lang="en">Cai X.-R., Zhou Q.C., Yu J. et al. Assessment of renal function in patients with unilateral ureteral obstruction using whole-organ perfusion imaging with 320-detector row computed tomography. PLoS One. 2015; 10 (4): e0122454. http://doi.org/10.1371/journal.pone.0122454</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Yilmaz O., Ovali G., Genc A. et al. Perfusion computed tomography could be a new tool for single-session imaging of ureteric obstructive pathology: an experimental study in rats. J. Pediatr. Surg. 2009; 44 (10): 1977–1983. http://doi.org/10.1016/j.jpedsurg.2009.01.072</mixed-citation><mixed-citation xml:lang="en">Yilmaz O., Ovali G., Genc A. et al. Perfusion computed tomography could be a new tool for single-session imaging of ureteric obstructive pathology: an experimental study in rats. J. Pediatr. Surg. 2009; 44 (10): 1977–1983. http://doi.org/10.1016/j.jpedsurg.2009.01.072</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Grenier N., Merville P., Combe C. Radiologic imaging of the renal parenchyma structure and function. Nat. Rev. Nephrol. 2016; 12 (6): 348–359. http://doi.org/10.1038/nrneph.2016.44</mixed-citation><mixed-citation xml:lang="en">Grenier N., Merville P., Combe C. Radiologic imaging of the renal parenchyma structure and function. Nat. Rev. Nephrol. 2016; 12 (6): 348–359. http://doi.org/10.1038/nrneph.2016.44</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Helck A., Wessely M., Notohamiprodjo M. et al. CT perfusion technique for assessment of early kidney allograft dysfunction: preliminary results. Eur. Radiol. 2013; 23 (9): 2475–2481. http://doi.org/10.1007/s00330-013-2862-6</mixed-citation><mixed-citation xml:lang="en">Helck A., Wessely M., Notohamiprodjo M. et al. CT perfusion technique for assessment of early kidney allograft dysfunction: preliminary results. Eur. Radiol. 2013; 23 (9): 2475–2481. http://doi.org/10.1007/s00330-013-2862-6</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Deniffel D., Boutelir T., Labani A. et al. Computed tomography perfusion measurements in renal lesions obtained by bayesian estimation, advanced singular-value decomposition deconvolution, maximum slope and Patlak models. Invest. Radiol. 2018; 53 (8): 477–485. http://doi.org/10.1097/RLI.0000000000000477</mixed-citation><mixed-citation xml:lang="en">Deniffel D., Boutelir T., Labani A. et al. Computed tomography perfusion measurements in renal lesions obtained by bayesian estimation, advanced singular-value decomposition deconvolution, maximum slope and Patlak models. Invest. Radiol. 2018; 53 (8): 477–485. http://doi.org/10.1097/RLI.0000000000000477</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Chen Y., Zhang J., Dai J. et al. Angiogenesis of renal cell carcinoma: perfusion CT findings. Abdom. Imaging. 2010; 35 (5): 622–628. http://doi.org/10.1007/s00261-009-9565-0</mixed-citation><mixed-citation xml:lang="en">Chen Y., Zhang J., Dai J. et al. Angiogenesis of renal cell carcinoma: perfusion CT findings. Abdom. Imaging. 2010; 35 (5): 622–628. http://doi.org/10.1007/s00261-009-9565-0</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Chen C., Liu Q., Hao Q. et al. Study of 320-slice dynamic volume CT perfusion in different pathologic types of kidney tumor: preliminary results. PLoS One. 2014; 9 (1): e85522. http://doi.org/10.1371/journal.pone.0085522</mixed-citation><mixed-citation xml:lang="en">Chen C., Liu Q., Hao Q. et al. Study of 320-slice dynamic volume CT perfusion in different pathologic types of kidney tumor: preliminary results. PLoS One. 2014; 9 (1): e85522. http://doi.org/10.1371/journal.pone.0085522</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Chen C., Kang Q., Xu B. et al. Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion. Abdom. Radiol. (NY). 2018; 43 (5): 1223–1230. http://doi.org/10.1007/s00261-017-1286-1</mixed-citation><mixed-citation xml:lang="en">Chen C., Kang Q., Xu B. et al. Fat poor angiomyolipoma differentiation from renal cell carcinoma at 320-slice dynamic volume CT perfusion. Abdom. Radiol. (NY). 2018; 43 (5): 1223–1230. http://doi.org/10.1007/s00261-017-1286-1</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Mazzei F., Mazzei M., Cioffi Squitieri N. et al. CT perfusion in the characterisation of renal lesions: an added value to multiphasic CT. Biomed. Res. Int. 2014; 2014: 135013. http://doi.org/10.1155/2014/135013</mixed-citation><mixed-citation xml:lang="en">Mazzei F., Mazzei M., Cioffi Squitieri N. et al. CT perfusion in the characterisation of renal lesions: an added value to multiphasic CT. Biomed. Res. Int. 2014; 2014: 135013. http://doi.org/10.1155/2014/135013</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Reiner C., Goetti R., Eberli D. et al. CT perfusion of renal cell carcinoma: impact of volume coverage on quantitative analysis. Invest. Radiol. 2012; 47 (1): 33–40. http://doi.org/10.1097/RLI.0b013e31822598c3</mixed-citation><mixed-citation xml:lang="en">Reiner C., Goetti R., Eberli D. et al. CT perfusion of renal cell carcinoma: impact of volume coverage on quantitative analysis. Invest. Radiol. 2012; 47 (1): 33–40. http://doi.org/10.1097/RLI.0b013e31822598c3</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Reiner C., Roessle M., Thiesler T. et al. Computed tomography perfusion imaging of renal cell carcinoma: systematic comparison with histopathological angiogenic and prognostic markers. Invest. Radiol. 2013; 48 (4): 183–191. http://doi.org/10.1097/RLI.0b013e31827c63a3</mixed-citation><mixed-citation xml:lang="en">Reiner C., Roessle M., Thiesler T. et al. Computed tomography perfusion imaging of renal cell carcinoma: systematic comparison with histopathological angiogenic and prognostic markers. Invest. Radiol. 2013; 48 (4): 183–191. http://doi.org/10.1097/RLI.0b013e31827c63a3</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Rosenbaum C., Wach S., Kunath F. et al. Dynamic tissue perfusion measurement: a new tool for characterizing renal perfusion in renal cell carcinoma patients. Urol. Int. 2013; 90 (1): 87–94. http://doi.org/10.1159/000341262</mixed-citation><mixed-citation xml:lang="en">Rosenbaum C., Wach S., Kunath F. et al. Dynamic tissue perfusion measurement: a new tool for characterizing renal perfusion in renal cell carcinoma patients. Urol. Int. 2013; 90 (1): 87–94. http://doi.org/10.1159/000341262</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Рубцова Н.А., Гольбиц А.Б., Крянева Е.В. и др. Роль КТ-перфузии в диагностике солидных опухолей почек. Лучевая диагностика и терапия. 2021; 2 (12): 70–78. http://doi.org/10.22328/2079-5343-2021-12-2-70-78</mixed-citation><mixed-citation xml:lang="en">Rubtsova N.A., Golbits A.B., Kryaneva E.V. et al. The role of ct-perfusion for diagnostic of solid renal tumors. Diagnostic radiology and radiotherapy. 2021; 2 (12): 70–78. http://doi.org/10.22328/2079-5343-2021-12-2-70-78 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Chen C., Kang Q., Wei Q. et al. Correlation between CT perfusion parameters and Fuhrman grade in pTlb renal cell carcinoma. Abdom. Radiol (NY). 2017; 42 (5): 1464–1471. http://doi.org/10.1007/s00261-016-1009-z.</mixed-citation><mixed-citation xml:lang="en">Chen C., Kang Q., Wei Q. et al. Correlation between CT perfusion parameters and Fuhrman grade in pTlb renal cell carcinoma. Abdom. Radiol (NY). 2017; 42 (5): 1464–1471. http://doi.org/10.1007/s00261-016-1009-z.</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Chen C., Kang Q., Xu B. et al. Differentiation of low- and high-grade clear cell renal cell carcinoma: Tumor size versus CT perfusion parameters. Clin. Imaging. 2017; 46: 14–19. http://doi.org/10.1016/j.clinimag.2017.06.010</mixed-citation><mixed-citation xml:lang="en">Chen C., Kang Q., Xu B. et al. Differentiation of low- and high-grade clear cell renal cell carcinoma: Tumor size versus CT perfusion parameters. Clin. Imaging. 2017; 46: 14–19. http://doi.org/10.1016/j.clinimag.2017.06.010</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Shu J., Tang Y., Cui J. et al. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade. Eur. J. Radiol. 2018; 109: 8–12. http://doi.org/10.1016/j.ejrad.2018.10.005</mixed-citation><mixed-citation xml:lang="en">Shu J., Tang Y., Cui J. et al. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade. Eur. J. Radiol. 2018; 109: 8–12. http://doi.org/10.1016/j.ejrad.2018.10.005</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Drljevic-Nielsen A., Rasmussen F., Mains J. et al. Baseline blood volume identified by dynamic contrast-enhanced computed tomography as a new independent prognostic factor in metastatic renal cell carcinoma. Transl. Oncol. 2020; 13 (10): 100829. http://doi.org/10.1016/j.tranon.2020.100829</mixed-citation><mixed-citation xml:lang="en">Drljevic-Nielsen A., Rasmussen F., Mains J. et al. Baseline blood volume identified by dynamic contrast-enhanced computed tomography as a new independent prognostic factor in metastatic renal cell carcinoma. Transl. Oncol. 2020; 13 (10): 100829. http://doi.org/10.1016/j.tranon.2020.100829</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Mains J., Donskov F, Pedersen E. et al. Dynamic Contrast-Enhanced Computed Tomography-Derived Blood Volume and Blood Flow Correlate With Patient Outcome in Metastatic Renal Cell Carcinoma. Invest. Radiol. 2017; 52 (2): 103–110. http://doi.org/10.1097/RLI.0000000000000315</mixed-citation><mixed-citation xml:lang="en">Mains J., Donskov F, Pedersen E. et al. Dynamic Contrast-Enhanced Computed Tomography-Derived Blood Volume and Blood Flow Correlate With Patient Outcome in Metastatic Renal Cell Carcinoma. Invest. Radiol. 2017; 52 (2): 103–110. http://doi.org/10.1097/RLI.0000000000000315</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Mains J., Donskov F., Pedersen E. et al. Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients. Br. J. Radiol. 2018; 91 (1082): 20160795. http://doi.org/10.1259/bjr.20160795</mixed-citation><mixed-citation xml:lang="en">Mains J., Donskov F., Pedersen E. et al. Use of patient outcome endpoints to identify the best functional CT imaging parameters in metastatic renal cell carcinoma patients. Br. J. Radiol. 2018; 91 (1082): 20160795. http://doi.org/10.1259/bjr.20160795</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Fan A., Sundaram V., Kino A. et al. Early Changes in CT Perfusion Parameters: Primary Renal Carcinoma Versus Metastases After Treatment with Targeted Therapy. Cancers (Basel). 2019; 11 (5): 608. http://doi.org/10.3390/cancers11050608</mixed-citation><mixed-citation xml:lang="en">Fan A., Sundaram V., Kino A. et al. Early Changes in CT Perfusion Parameters: Primary Renal Carcinoma Versus Metastases After Treatment with Targeted Therapy. Cancers (Basel). 2019; 11 (5): 608. http://doi.org/10.3390/cancers11050608</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Vehabovic-Delic A., Balic M., Rossmann C. et al. Volume Computed Tomography Perfusion Imaging: Evaluation of the Significance in Oncologic Follow-up of Metastasizing Renal Cell Carcinoma in the Early Period of Targeted Therapy – Preliminary Results. J. Comput. Assist. Tomogr. 2019; 43 (3): 493–498. http://doi.org/10.1097/RCT.0000000000000848</mixed-citation><mixed-citation xml:lang="en">Vehabovic-Delic A., Balic M., Rossmann C. et al. Volume Computed Tomography Perfusion Imaging: Evaluation of the Significance in Oncologic Follow-up of Metastasizing Renal Cell Carcinoma in the Early Period of Targeted Therapy – Preliminary Results. J. Comput. Assist. Tomogr. 2019; 43 (3): 493–498. http://doi.org/10.1097/RCT.0000000000000848</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Fournier L., Oudard S., Thiam R. et al. Metastatic renal carcinoma: evaluation of antiangiogenic therapy with dynamic contrast-enhanced CT. Radiology. 2010; 256 (2): 511–518. http://doi.org/10.1148/radiol.10091362</mixed-citation><mixed-citation xml:lang="en">Fournier L., Oudard S., Thiam R. et al. Metastatic renal carcinoma: evaluation of antiangiogenic therapy with dynamic contrast-enhanced CT. Radiology. 2010; 256 (2): 511–518. http://doi.org/10.1148/radiol.10091362</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Hudson J., Bailey C., Atri M. et al. The prognostic and predictive value of vascular response parameters measured by dynamic contrast-enhanced-CT, -MRI and -US in patients with metastatic renal cell carcinoma receiving sunitinib. Eur. Radiol. 2018; 28 (6): 2281–2290. http://doi.org/10.1007/s00330-017-5220-2</mixed-citation><mixed-citation xml:lang="en">Hudson J., Bailey C., Atri M. et al. The prognostic and predictive value of vascular response parameters measured by dynamic contrast-enhanced-CT, -MRI and -US in patients with metastatic renal cell carcinoma receiving sunitinib. Eur. Radiol. 2018; 28 (6): 2281–2290. http://doi.org/10.1007/s00330-017-5220-2</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Nielsen T., Ostraat O., Graumann O. et al. Computed Tomography Perfusion, Magnetic Resonance Imaging, and Histopathological Findings After Laparoscopic Renal Cryoablation: An In Vivo Pig Model. Technol. Cancer Res. Treat. 2017; 16 (4): 406–413. http://doi.org/10.1177/1533034616657251</mixed-citation><mixed-citation xml:lang="en">Nielsen T., Ostraat O., Graumann O. et al. Computed Tomography Perfusion, Magnetic Resonance Imaging, and Histopathological Findings After Laparoscopic Renal Cryoablation: An In Vivo Pig Model. Technol. Cancer Res. Treat. 2017; 16 (4): 406–413. http://doi.org/10.1177/1533034616657251</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Squillaci E., Manenti G., Cicciò C. et al. Perfusion-CT monitoring of cryo-ablated renal cells tumors. J. Exp. Clin. Cancer Res. 2009; 28 (1): 138. http://doi.org/10.1186/1756-9966-28-138</mixed-citation><mixed-citation xml:lang="en">Squillaci E., Manenti G., Cicciò C. et al. Perfusion-CT monitoring of cryo-ablated renal cells tumors. J. Exp. Clin. Cancer Res. 2009; 28 (1): 138. http://doi.org/10.1186/1756-9966-28-138</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Александрова К.А., Серова Н.С., Руденко В.И. и др. Возможности КТ-перфузии в оценке почечного кровотока у пациентов с мочекаменной болезнью. Российский электронный журнал лучевой диагностики. 2019; 9 (1): 108–117. http://doi.org/10.21569/22227415201991108117</mixed-citation><mixed-citation xml:lang="en">Aleksandrova K.A., Serova N.S., Rudenko V.I. et al. Opportunities of CT-perfusion in the evaluation of renal blood flow in patients with urolithiasis. REJR. 2019; 9 (1): 108–117. http://doi.org/10.21569/22227415201991108117 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Александрова К.А., Серова Н.С., Руденко В.И. и др. Клиническое значение КТ-перфузии у пациентов с камнями мочеточника. Урология. 2019; 5: 38–43. http://doi.org/10.18565/urology.2019.5.38-43</mixed-citation><mixed-citation xml:lang="en">Aleksandrova K.A., Serova N.S., Rudenko V.I. et al. Clinical value of ct-perfusion in patients with ureteric stones. Urologia. 2019; 5: 38–43. http://doi.org/10.18565/urology.2019.5.38-43 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Александрова К.А., Серова Н.С., Руденко В.И. и др. Оценка перфузии почек у больных мочекаменной болезнью с помощью методов лучевой диагностики. Российский электронный журнал лучевой диагностики. 2018; 8 (4) 208–219. http://doi.org/10.21569/2222-7415-2018-8-4-208-219</mixed-citation><mixed-citation xml:lang="en">Aleksandrova K.A., Serova N.S., Rudenko V.I., et al. Clinical value of ct-perfusion in patients with ureteric stones. REJR. 2018; 8 (4) 208–219. http://doi.org/10.21569/2222-7415-2018-8-4-208-219 (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang Z., Cen C., Qian K. et al. Assessment of the embolization effect of temperature-sensitive p(N-isopropylacrylamide-co-butyl methylacrylate) nanogels in the rabbit renal artery by CT perfusion and confirmed by macroscopic examination. Sci. Rep. 2021; 11 (1): 4826. http://doi.org/10.1038/s41598-021-84372-w</mixed-citation><mixed-citation xml:lang="en">Zhang Z., Cen C., Qian K. et al. Assessment of the embolization effect of temperature-sensitive p(N-isopropylacrylamide-co-butyl methylacrylate) nanogels in the rabbit renal artery by CT perfusion and confirmed by macroscopic examination. Sci. Rep. 2021; 11 (1): 4826. http://doi.org/10.1038/s41598-021-84372-w</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Zhong J., Yuan J., Chong V. et al. The clinical application of one-stop examination with 640-slice volume CT for Nutcracker syndrome. PLoS One. 2013; 8 (9): e74365. http://doi.org/10.1371/journal.pone.0074365</mixed-citation><mixed-citation xml:lang="en">Zhong J., Yuan J., Chong V. et al. The clinical application of one-stop examination with 640-slice volume CT for Nutcracker syndrome. PLoS One. 2013; 8 (9): e74365. http://doi.org/10.1371/journal.pone.0074365</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Liu D., Liu J., Wen Z. et al. 320-row CT renal perfusion imaging in patients with aortic dissection: A preliminary study. PLoS One. 2017; 12 (2): e0171235. http://doi.org/10.1371/journal.pone.0171235</mixed-citation><mixed-citation xml:lang="en">Liu D., Liu J., Wen Z. et al. 320-row CT renal perfusion imaging in patients with aortic dissection: A preliminary study. PLoS One. 2017; 12 (2): e0171235. http://doi.org/10.1371/journal.pone.0171235</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Al-Said J., Kamel O. Changes in renal cortical and medullary perfusion in a patient with renal vein thrombosis. Saudi J. Kidney Dis. Transpl. 2010; 21 (1): 123–127. PMID: 20061706.</mixed-citation><mixed-citation xml:lang="en">Al-Said J., Kamel O. Changes in renal cortical and medullary perfusion in a patient with renal vein thrombosis. Saudi J. Kidney Dis. Transpl. 2010; 21 (1): 123–127. PMID: 20061706.</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Braunagel M., Helck A., Wagner A. et al. Dynamic Contrast-Enhanced Computed Tomography: A New Diagnostic Tool to Assess Renal Perfusion After Ischemia-Reperfusion Injury in Mice: Correlation of Perfusion Deficit to Histopathologic Damage. Invest. Radiol. 2016; 51 (5): 316–322. http://doi.org/10.1097/RLI.0000000000000245</mixed-citation><mixed-citation xml:lang="en">Braunagel M., Helck A., Wagner A. et al. Dynamic Contrast-Enhanced Computed Tomography: A New Diagnostic Tool to Assess Renal Perfusion After Ischemia-Reperfusion Injury in Mice: Correlation of Perfusion Deficit to Histopathologic Damage. Invest. Radiol. 2016; 51 (5): 316–322. http://doi.org/10.1097/RLI.0000000000000245</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Miles K., Griffiths M. Perfusion CT: a worthwhile enhancement? Br. J. Radiol. 2003; 76 (904): 220–231. http://doi.org/10.1259/bjr/13564625</mixed-citation><mixed-citation xml:lang="en">Miles K., Griffiths M. Perfusion CT: a worthwhile enhancement? Br. J. Radiol. 2003; 76 (904): 220–231. http://doi.org/10.1259/bjr/13564625</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Miles K. Perfusion CT for the assessment of tumour vascularity: which protocol? Br. J. Radiol. 2003; 76 Spec No 1: S36–42. http://doi.org/10.1259/bjr/18486642</mixed-citation><mixed-citation xml:lang="en">Miles K. Perfusion CT for the assessment of tumour vascularity: which protocol? Br. J. Radiol. 2003; 76 Spec No 1: S36–42. http://doi.org/10.1259/bjr/18486642</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Гольбиц А.Б., Рубцова Н.А., Крянева Е.В. и др. КТперфузия почек в онкологии: учебно-методическое пособие. М.: МНИОИ им. П.А. Герцена – филиал ФГБУ “НМИЦ радиологии” Минздрава России. 2020. 28 с.</mixed-citation><mixed-citation xml:lang="en">Rubtsova N.A., Golbits A.B., Kryaneva E.V. et al. CT perfusion of the kidneys in oncology: a teaching aid. М.: MNIOI im. P.A. Gertsena – filial FGBU “NMITS radiologii” Minzdrava Rossii. 2020. 28 p. (In Russian)</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Jeong S., Park S., Chang I., Shin J. et al. Estimation of renal function using kidney dynamic contrast material-enhanced CT perfusion: accuracy and feasibility. Abdom. Radiol. (NY). 2021; 46 (5): 2045–2051. http://doi.org/10.1007/s00261-020-02826-7.</mixed-citation><mixed-citation xml:lang="en">Jeong S., Park S., Chang I., Shin J. et al. Estimation of renal function using kidney dynamic contrast material-enhanced CT perfusion: accuracy and feasibility. Abdom. Radiol. (NY). 2021; 46 (5): 2045–2051. http://doi.org/10.1007/s00261-020-02826-7.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
