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<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="en"><front><journal-meta><journal-id journal-id-type="publisher-id">vetpatol</journal-id><journal-title-group><journal-title xml:lang="en">Russian Journal of Veterinary Pathology</journal-title><trans-title-group xml:lang="ru"><trans-title>Ветеринарная патология</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2949-4826</issn><publisher><publisher-name>Don State Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23947/2949-4826-2025-24-4-55-63</article-id><article-id custom-type="elpub" pub-id-type="custom">vetpatol-2091</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="en"><subject>ANIMAL PATHOLOGY, MORPHOLOGY, PHYSIOLOGY, PHARMACOLOGY AND TOXICOLOGY</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ПАТОЛОГИЯ ЖИВОТНЫХ, МОРФОЛОГИЯ, ФИЗИОЛОГИЯ, ФАРМАКОЛОГИЯ И ТОКСИКОЛОГИЯ</subject></subj-group></article-categories><title-group><article-title>Assessing Kidney Tissue Density Changes in Rats with Hyperlipidemia Using Micro-CT</article-title><trans-title-group xml:lang="ru"><trans-title>Оценка изменений плотности тканей почек у крыс с гиперлипидемией методом микро-КТ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0339-8187</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тихменева</surname><given-names>Ю. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Tikhmeneva</surname><given-names>Y. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юлия Андреевна Тихменева, аспирант факультета биоинженерии и ветеринарной медицины </p><p>344003, Ростовская область, г. Ростов-на-Дону, пл. Гагарина, 1</p></bio><bio xml:lang="en"><p>Yulia A. Tikhmeneva, PhD Student of the Faculty of Bioengineering and Veterinary Medicine</p><p>1, Gagarin Sq, Rostov-on-Don, 344003</p></bio><email xlink:type="simple">juliya5634@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-2227-1299</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Садырин</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Sadyrin</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Евгений Валерьевич Садырин, кандидат физико-математических наук, старший научный сотрудник лаборатории механики биосовместимых материалов, доцент кафедры теоретической и прикладной механики </p><p>344003, Ростовская область, г. Ростов-на-Дону, пл. Гагарина, 1</p></bio><bio xml:lang="en"><p>Evgeniy V. Sadyrin, Cand.Sci. (Physics and Mathematics), Senior Research Associate at the Laboratory of Biocompatible Materials Mechanics, Associate Professor of the Theoretical and Applied Mechanics Department</p><p>1, Gagarin Sq, Rostov-on-Don, 344003</p></bio><email xlink:type="simple">evgeniy.sadyrin@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Донской государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Don State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>19</day><month>01</month><year>2026</year></pub-date><volume>24</volume><issue>4</issue><fpage>55</fpage><lpage>63</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Tikhmeneva Y.A., Sadyrin E.V., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Тихменева Ю.А., Садырин Е.В.</copyright-holder><copyright-holder xml:lang="en">Tikhmeneva Y.A., Sadyrin E.V.</copyright-holder><license 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://www.vetpat.ru/jour/article/view/2091">https://www.vetpat.ru/jour/article/view/2091</self-uri><abstract><sec><title>Introduction</title><p>Introduction. Computed X-ray microtomography (micro-CT) enables getting the three-dimensional images of microscopic structures without damaging them, which makes this method widely implemented in biomedicine. Regarding the application of micro-CT in veterinary medicine, its potential in assessing morphological changes in internal organs of animals with pathologies has not yet been used at full scale. For example, there are no enough data on the capacity of microtomography in studying pathological processes in kidneys of animals. The aim of the present study is to assess the pathological changes in the density and morphology of kidney tissue in laboratory rats with hyperlipidemia using micro-CT.</p></sec><sec><title>Materials and Methods</title><p>Materials and Methods. The experiment was conducted at DSTU from 2021 to 2024 and involved 40 male Wistar rats divided into 5 groups: 4 experimental and 1 control. During the experiment, the experimental groups were fed a hyperlipidemic diet; the control group received only standard feed-stuff. Kidneys were taken from decapitated animals on 30th, 120th, 150th, and 180th day, and samples were prepared for scanning with a Zeiss Xradia Versa 520 micro-CT scanner at 80 kV and voxel size of 20 μm. The efficiency of micro-CT was assessed by the quality of 3D reconstruction and detected changes in kidney tissue density and morphology at different stages of hyperlipidemia.</p></sec><sec><title>Results</title><p>Results. Microtomograms of kidneys of rats in the experiment allowed for detailed visualization of the organ’s morphology, including renal cortex and medulla, as well as vasculature. Quantitative data on changes in tissue density were obtained, and differences in kidney structure were distinguished between the normal (in control group) and pathological conditions (in experimental groups with various degrees of hyperlipidemia).</p><p>Discussion and Conclusion. Micro-CT method has demonstrated high accuracy and informative value in analysing kidney tissue condition in rats and proved its efficiency in early diagnostics of pathological changes in these internal organs, as well as in dynamic monitoring of disease. Among the constraints of this method, the following aspects can be noted: the high cost of equipment, low sensitivity to soft tissues in the absence of contrast-enhancement, and the need for specialized skills to interpret the images.</p></sec></abstract><trans-abstract xml:lang="ru"><sec><title>Введение</title><p>Введение. Компьютерная рентгеновская микротомография (микро-КТ) позволяет получать трёхмерные изображения микроскопических структур без их разрушения, благодаря чему метод нашел широкое применение в биомедицине. Что касается применения микро-КТ в ветеринарии, то на сегодняшний день потенциал метода для оценки морфологических изменений внутренних органов животных при патологиях использован не полностью. В частности, недостаточно данных о возможностях микротомографии при изучении патологических процессов в почках животных. Цель исследования — оценить патологические изменения плотности и морфологии тканей почек лабораторных крыс с гиперлипидемией с помощью микро-КТ.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В эксперименте, проведенном в ДГТУ в период с 2021 по 2024 гг., использовались самцы крыс линии Wistar (n=40), разделенные на 5 групп — 4 опытные и 1 контрольную. Опытные группы в ходе эксперимента были переведены на гиперлипидемическую диету; контрольная группа получала только обычный корм. После декапитации животных на 30-е, 120-е, 150-е и 180-е сутки проводился забор почек и подготовка образцов для сканирования на микротомографе Zeiss Xradia Versa 520 при 80 кВ и размере вокселя 20 мкм. Эффективность микро-КТ оценивали по качеству 3D-реконструкции и выявлению изменений в плотности и морфологии тканей почек на разных стадиях гиперлипидемии.</p></sec><sec><title>Результаты исследования</title><p>Результаты исследования. Микротомограммы почек крыс, участвовавших в эксперименте, позволили детально визуализировать морфологию органа, включая корковое и мозговое вещество, а также сосудистую сеть. Получены количественные данные по изменению плотности тканей, выявлены различия в структуре почек при норме (контрольная группа) и патологии (опытные группы с гиперлипидимией разной степени).</p></sec><sec><title>Заключение и обсуждение</title><p>Заключение и обсуждение. Метод микро-КТ продемонстрировал высокую точность и информативность при анализе состояния тканей почек крыс, доказав его эффективность для ранней диагностики патологических изменений и динамического мониторинга заболеваний этих внутренних органов у животных. Среди ограничений метода — высокая стоимость оборудования, низкая чувствительность к мягким тканям без контрастирования и необходимость специальных навыков для интерпретации снимков.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>микротомография</kwd><kwd>микро-КТ</kwd><kwd>крысы</kwd><kwd>почка</kwd><kwd>плотность тканей</kwd><kwd>гиперлипидемия</kwd><kwd>визуализация</kwd><kwd>диагностика</kwd><kwd>патологические процессы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>microtomography</kwd><kwd>micro-CT</kwd><kwd>rats</kwd><kwd>kidney</kwd><kwd>tissue density</kwd><kwd>hyperlipidemia</kwd><kwd>visualization</kwd><kwd>diagnostics</kwd><kwd>pathological processes</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена при поддержке Российского научного фонда, проект № 25-29-00829, https://rscf.ru/project/25-29-00829/</funding-statement></funding-group></article-meta></front><body><p>Introduction. Computed X-ray microtomography (micro-CT) is a method enabling getting three-dimensional images of microscopic internal and external structures in the samples without damaging them, which makes it possible to study the objects inaccessible to other methods of analysis [<xref ref-type="bibr" rid="cit1">1</xref>]. The method is based on obtaining a set of X-ray projection images by rotating a sample placed between an X-ray source and a detector (although other sample placements are also possible [<xref ref-type="bibr" rid="cit2">2</xref>]). These images are then converted into a series of cross-sections using specialized reconstruction algorithms [<xref ref-type="bibr" rid="cit3">3</xref>].</p><p>Micro-CT differs from traditional CT and targeted radiography by a number of parameters, including resolution, field of application, and radiation dose [<xref ref-type="bibr" rid="cit3">3</xref>]. Micro-CT provides ultra-high resolution (up to 1 μm) and enables getting detailed three-dimensional images, making it highly valuable in scientific research, ex vivo tissue studies, and experimental oncology [<xref ref-type="bibr" rid="cit3">3</xref>]. However, the use of the method is limited by long scanning time and high radiation exposure, which reduces its applicability in vivo. Traditional CT is widely used in clinical practice to diagnose pathologies of internal organs and the skeletal system. It enables rapid 3D imaging with a resolution of approximately 0.5–1 mm and using contrast agents for improved visualization of soft tissues [4-5]. Targeted radiography (bitewing X-ray) is used primarily in dentistry to detect caries and assess state of bone tissue and paradontium. This is a fast and low-dose method, however, it only provides a two-dimensional image and is not suitable for detailed examination of complex structures [<xref ref-type="bibr" rid="cit4">4</xref>].</p><p>The choice of imaging method depends on the specific task. If the utmost possible detailed image of tissue is required, micro-CT is preferable. However, for clinical diagnostics and work with living patients, traditional CT and targeted radiography are more suitable. The characteristics of these methods are provided in more detail in Table 1.</p><table-wrap id="table-1"><caption><p>Table 1</p><p>Comparative characteristics of micro-CT, traditional CT, and bitewing X-ray</p></caption><table><tbody><tr><td>Parameter</td><td>Micro-CT</td><td>Traditional CT</td><td>Bitewing X-ray</td></tr><tr><td>Image type</td><td>2D, 3D</td><td>2D, 3D</td><td>2D</td></tr><tr><td>Resolution</td><td>up to &lt;1 µm</td><td>0.5-1 mm</td><td>Non applicable</td></tr><tr><td>Field of application</td><td>Scientific research, pathomorphology, oncology</td><td>Clinical diagnostics of internal organs and bones</td><td>Dentistry, diagnostics of caries and periodontitis</td></tr><tr><td>Radiation dose</td><td>High</td><td>Medium</td><td>Low</td></tr><tr><td>Scanning speed</td><td>Minutes–hours</td><td>Seconds–minutes</td><td>Seconds</td></tr><tr><td>Using contrast-enhancement</td><td>Possible</td><td>Frequently used</td><td>No</td></tr><tr><td>Applicability in vivo</td><td>Limited</td><td>Yes</td><td>Yes</td></tr></tbody></table></table-wrap><p>The main advantages of microtomography are:</p><p>– high resolution: the technology enables the acquisition of images with the smallest discernible detail, less than one micron to tens of microns, ensuring clarity, detailing [5-6], and, if necessary, examination of quite large samples [<xref ref-type="bibr" rid="cit6">6</xref>];</p><p>– a wide range of applications due to the ability to obtain 2D and 3D images: 2D images are used to measure length, thickness, and angles of curvature, while 3D helps to identify pathological changes such as osteolysis or bone hyperplasia [<xref ref-type="bibr" rid="cit4">4</xref>], neoplasms [<xref ref-type="bibr" rid="cit3">3</xref>], demineralization of dental tissue [<xref ref-type="bibr" rid="cit4">4</xref>], etc.;</p><p>– digital data processing: digital images can easily be processed and rendered [<xref ref-type="bibr" rid="cit7">7</xref>], which enables their rotation and analysis in three dimensions for a deeper understanding of the object’s condition [<xref ref-type="bibr" rid="cit8">8</xref>].</p><p>High-quality images obtained using micro-CT allow researchers to visualize in detail the pathological processes in experimental animal models, thus, facilitating more accurate disease diagnostics, assessment of the therapeutic strategies’ efficiency, and better understanding the mechanisms of their development. Furthermore, the ability to study in detail pathological changes, such as fatty infiltration of tissue in hyperlipidemia, contributes to the expansion of scientific knowledge and improvement of treatment methods [5–6].</p><p>Over the past decades, micro-CT has become a powerful tool in biomedical research, widely used in studying bone morphology [<xref ref-type="bibr" rid="cit3">3</xref>], animal phenotyping [<xref ref-type="bibr" rid="cit1">1</xref>], and the investigation of internal organ pathologies [<xref ref-type="bibr" rid="cit5">5</xref>]. Due to optimization of contrast agent development and administration, the capacities of the method had significantly increased. In vivo imaging enables assessment of vascular and soft tissue morphology, however ex vivo examination offers higher resolution due to increased scanning time and absence of limitations associated with anaesthesia and radiation [<xref ref-type="bibr" rid="cit9">9</xref>].</p><p>In neurology, micro-CT is used to analyse the vascular anatomy of the brain, identify atherosclerotic lesions, and assess blood-brain barrier disruptions [<xref ref-type="bibr" rid="cit9">9</xref>]. Furthermore, the technique enables longitudinal study to assess the brain tumour growth and the efficiency of antitumour therapy.</p><p>In cardiology, contrast-enhanced micro-CT is used to visualize the cardiac conduction system, diagnose congenital heart defects, and make quantitative assessment of pulmonary ventilation in pulmonary fibrosis [<xref ref-type="bibr" rid="cit10">10</xref>].</p><p>Micro-CT is also actively used in cancer research. For example, in colorectal cancer models, the method demonstrates a high correlation between tumour volume and histological data [<xref ref-type="bibr" rid="cit9">9</xref>]. The use of contrast agents makes it possible to differentiate healthy liver tissue from neoplasms, enabling quantitative assessment of metastases and the efficiency of experimental therapy [<xref ref-type="bibr" rid="cit9">9</xref>].</p><p>Bone tissue studies using micro-CT cover a wide range of pathologies, including osteoporosis, fracture healing, osteogenesis, and bone resorption in tumours [<xref ref-type="bibr" rid="cit2">2</xref>]. The technique is also used to assess interactions between soft tissues and implants, and to study angiogenesis and muscular dystrophy [<xref ref-type="bibr" rid="cit9">9</xref>].</p><p>In veterinary medicine, micro-CT is becoming increasingly popular due to possibility to obtain high-quality three-dimensional images of tissues and structures, as well as possibility to examine anatomical features and pathological changes by a non-destructive method with a spatial resolution of up to 1 μm [<xref ref-type="bibr" rid="cit10">10</xref>]: possibility of visualizing a biopsy specimen without cutting is particularly valuable for subsequent histological analysis [<xref ref-type="bibr" rid="cit11">11</xref>].</p><p>Micro-CT can be used both in vivo and ex vivo: in vivo mode allows for visualization of tissue changes in small animals with a resolution of up to 30 μm, with a minimal radiation dose [11–13]. However, its implementation is limited due to low sensitivity to soft tissues, which can be compensated by the use of contrast agents. In ex vivo mode, micro-CT resolution can reach even higher values due to long exposures, which contributes to image detailing that surpasses the results of histological analysis.</p><p>Due to the possibility of 3D reconstruction and digital data processing, micro-CT provides researchers with a unique opportunity to analyse tissue morphology, develop virtual models, and even create precise physical 3D prototypes [<xref ref-type="bibr" rid="cit14">14</xref>][<xref ref-type="bibr" rid="cit15">15</xref>]. Moreover, the integration of micro-CT with traditional diagnostic methods, such as histopathology, expands its diagnostic potential by combining precise quantitative data with visual assessment of tissue structure [<xref ref-type="bibr" rid="cit13">13</xref>]. In silico methods for micro-CT makes it possible to perform 3D reconstruction, segmentation, morphometric analysis, and tissue density calculations without destroying the specimens [<xref ref-type="bibr" rid="cit16">16</xref>].</p><p>Despite the rapid development of modern imaging techniques, the potential of micro-CT for comprehensive analysis of the state of soft tissues and internal organs in animals remains understudied. The potential of this method for detailed quantitative assessment of morphological changes in internal organs caused by the pathological processes remains a relatively new area. For example, there are almost no studies referring to comprehensive analysis of renal tissue density and three-dimensional morphology in animal experimental models with diet-induced pathologies, such as hyperlipidemia. The kidneys were chosen as an object of study due to their vital role in metabolism and their high vulnerability to systemic disorders, such as hyperlipidemia. The resulting structural changes (fatty infiltration, fibrosis) directly affect renal tissue density, making micro-CT an ideal method for their detection and quantitative assessment.</p><p>The aim of the research is to evaluate the efficiency of using micro-CT for studying pathological changes of kidney tissue density and morphology in laboratory rats with different degrees of hyperlipidemia.</p><p>Materials and Methods. The experiment was conducted at Don State Technical University (Rostov-on-Don) from 2021 to 2024. 40 male Wistar rats were divided into 5 groups (4 experimental and 1 control), with 8 animals in each. The animals were kept in the DSTU vivarium on wood bedding, which was changed weekly.</p><p>All animals received a standard diet for the first 30 days. Afterwards, group 1 was withdrawn from the experiment by decapitation; in groups 2, 3, and 4, the diet was changed to the hyperlipidemic one with high cholesterol content; group 5 (control) received only standard feed throughout the entire period. On 120th , 150th , and 180th day, animals of groups 2, 3, and 4, respectively, were euthanized by decapitation. Group 5 was withdrawn from the experiment simultaneously with group 4 on 180th day. After this, an autopsy was performed to collect kidneys and prepare specimens for micro-CT scanning and subsequent data analysis.</p><p>After initial fixation in 10% formalin for 48 hours, all rat kidney specimens were sequentially dehydrated in 50%, 70%, 80%, 90%, 96%, and 100% ethanol (with incubation for 1 hour in each solution). The specimens were then stained with 1% iodine I₂ solution in absolute ethanol for 14 hours. Finally, the specimens were rinsed in absolute ethanol and placed in plastic containers filled with absolute ethanol for storage at 5°C.</p><p>Scanning was performed on an Xradia Versa 520 microtomograph (Carl Zeiss X-ray Microscopy, USA). The specimens were mounted vertically in plastic tubes filled with absolute ethanol and mounted in a collet holder located outside the detector’s field of view. The studies were performed in the normal air space of the instrument chamber, without the use of additional media.</p><p>To obtain high-quality data, three segments of each specimen were scanned, starting with the bottom and finishing with the top one. General scanning parameters:</p><p>– objective magnification: 0.4×,</p><p>– source voltage: 80 kV,</p><p>– power: 6.5 W,</p><p>– voxel size: 20 µm,</p><p>– rotation: 360°,</p><p>– exposure time: 1 s,</p><p>– number of projections: 1601 for each segment.</p><p>Projection data collection was performed using software (Carl Zeiss AG, Germany) and resulted in reconstruction of micro-CT images. To improve contour clarity, center offset parameters were manually adjusted. Final processing of the reconstructed data was performed in VGStudio MAX 3.5 (Volume Graphics GmbH, Germany):</p><p>– media around the specimen was removed manually using a density bar chart;</p><p>– volume rendering based on Phong model [<xref ref-type="bibr" rid="cit17">17</xref>] was used for visualization;</p><p>– segmentation of structures was performed using manual, automatic, and semiautomatic tools. Each region of interest (ROI) was marked with a pseudocolor.</p><p>The efficiency of micro-CT was assessed based on the quality of visualization and reconstruction, i.e., the ability of the method to clearly highlight the cortex and medulla, vessels, and other renal structures in a 3D model with high detail enhancement with minimal artefact introduction. Quantitative analysis of tissue changes—density measurements using gray values—was also taken into account. (MGV, mean gray value).</p><p>Results. High-quality microtomograms of the kidneys made it possible to clearly distinguish the organ’s structural components: the cortex and renal artery (Fig. 1); the medulla (Fig. 2); and the vascular network including large arterial and venous blood vessels, as well as small capillaries (Fig. 3). In reconstructed 3D kidney models, the cortex, medulla, and vessels were highlighted as ROIs based on mean gray values (MGV). A uniform “plasma” colour scheme was used to clearly visualize changes of density.</p><fig id="fig-1"><caption><p>Fig. 1. Visualization of the kidney in section with a density scale: RC - renal cortex, RA - renal artery</p></caption><graphic xlink:href="vetpatol-24-4-g001.jpeg"><uri content-type="original_file">https://cdn.elpub.ru/assets/journals/veterinary/2026/1/PaRW8kl2OU3Ad6cklN0EgXaTSIVyolp8ucj5o9I2.jpeg</uri></graphic></fig><fig id="fig-2"><caption><p>Fig. 2. Visualization of the kidney in section with a density scale: RM – renal medulla</p></caption><graphic xlink:href="vetpatol-24-4-g002.jpeg"><uri content-type="original_file">https://cdn.elpub.ru/assets/journals/veterinary/2026/1/wr7faAzr3BHB6ROHxBAHH8SDlGrRvk1F6Wh0OzXK.jpeg</uri></graphic></fig><fig id="fig-3"><caption><p>Fig. 3. Renal arteries highlighted in red</p></caption><graphic xlink:href="vetpatol-24-4-g003.jpeg"><uri content-type="original_file">https://cdn.elpub.ru/assets/journals/veterinary/2026/1/3c8Q5LfiIrHq2AnOBNooBskrlh8AL9HsFHpIIFzG.jpeg</uri></graphic></fig><p>Conducting experiment in several experimental groups, enabled tracking progression of pathological changes in time dynamics (in particular, tissue density increase) in response to the duration of hyperlipidemic treatment. Density indicators, expressed as mean gray values (MGVs) for each group, are presented in Table 2</p><table-wrap id="table-2"><caption><p>Table 2</p><p>Density of various renal structures in rats, expressed as mean gray values (MGV), (M ± SD)</p><p>Note: * — during the first 30 days of the experiment, animals of all groups received a standard diet</p></caption><table><tbody><tr><td>Group</td><td>Period of participation in the experiment</td><td>n</td><td>Cortex, MGV</td><td>Medulla, MGV</td><td>Blood vessels, MGV</td></tr><tr><td>1st</td><td>30 days
(standard diet)</td><td>8</td><td>30943 ± 1905</td><td>24515 ± 1435</td><td>24967 ± 2162</td></tr><tr><td>2nd</td><td>120 days (3 months*)
hyperlipidemic diet</td><td>8</td><td>36642 ± 2269</td><td>30267 ± 1021</td><td>30792 ± 1848</td></tr><tr><td>3d</td><td>150 days (4 months*)
hyperlipidemic diet</td><td>8</td><td>33865 ± 2380</td><td>26290 ± 1750</td><td>27409 ± 3680</td></tr><tr><td>4th</td><td>180 days (5 months*)
hyperlipidemic diet)</td><td>8</td><td>29006 ± 2448</td><td>23294 ± 1048</td><td>25070 ± 2316</td></tr><tr><td>5th (control group)</td><td>180 days (standard diet)</td><td>8</td><td>30746 ± 2017</td><td>26579 ± 1088</td><td>25548 ± 3420</td></tr></tbody></table></table-wrap><p>The data in the table demonstrate a clear dynamics of density changes in renal tissue depending on the duration of the hyperlipidemic diet. The most significant increase in density across all the structures was observed in group 2 (3 months of diet), which obviously reflects the peak of fatty infiltration and inflammatory response development. By the end of 5th month of the diet (4th group), the density values approached the control levels, which might indicate the development of fibrosis and tissue sclerosis also attributed with the density increase that however develops by a different mechanism and requires further histological confirmation.</p><p>Analysis of the vascular network revealed thickening of the vessel walls and loss of elasticity, indicating reduced blood supply and an increased risk of ischemic tissue damage. The obtained data are consistent with the previous studies on cavernous body fibrosis in a castrated rabbit model, where micro-CT enabled quantitative assessment of changes in radiodensity at various stages of the disease [<xref ref-type="bibr" rid="cit18">18</xref>].</p><p>Discussion and Conclusion. The conducted micro-CT examination resulted in high-resolution images of the kidneys, which enabled detailed visualization of their structure. The method proved to be highly accurate in determining density values of renal tissue in hyperlipidemia, which may be useful for assessing structural changes in various pathologies. Density analysis allows for the quantitative assessment of such changes and their association with clinical manifestations of the disease.</p><p>Among the limitations of the study are: the small sample size, the use of just Wistar breed male rats, which restricts possibility of generalizing the results, and the potential influence of experiment timing and diet on the development of pathologies and data variability. Specimen preparation (fixation, dehydration, staining) could have introduced the artefacts affecting the accuracy of tissue density measurements. Limitations of the micro-CT method itself should also be considered: the high cost of equipment and consumables, low sensitivity to soft tissues without contrast agents, limitations of in vivo studies (anaesthesia, radiation doses, scanning time), and the need for specialised software and skills for data processing and analysis.</p><p>Further research may focus on the use of contrast agents to enable a more detailed study of the renal vasculature and processes associated with their perfusion. It is also necessary to establish the efficiency of micro-CT in identification and quantitative assessment of structural abnormalities and fibrosis by direct comparison with the results of histopathology. Such an approach will foster more accurate detection of changes in cells and tissues and expand the potential for micro-CT application in clinical practices for disease diagnosis and monitoring.</p></body><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Li H, Zhang H, Tang Z, Hu G. Micro-computed Tomography for Small Animal Imaging: Technological Details. Progress in Natural Science. 2008;18(5):513–521. https://doi.org/10.1016/j.pnsc.2008.01.002</mixed-citation><mixed-citation xml:lang="en">Li H, Zhang H, Tang Z, Hu G. Micro-computed Tomography for Small Animal Imaging: Technological Details. Progress in Natural Science. 2008;18(5):513–521. https://doi.org/10.1016/j.pnsc.2008.01.002</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Ashton JR, West JL, Badea CT. In Vivo Small Animal Micro-CT Using Nanoparticle Contrast Agents. Frontiers in Pharmacology. 2015;6:256. https://doi.org/10.3389/fphar.2015.00256</mixed-citation><mixed-citation xml:lang="en">Ashton JR, West JL, Badea CT. In Vivo Small Animal Micro-CT Using Nanoparticle Contrast Agents. Frontiers in Pharmacology. 2015;6:256. https://doi.org/10.3389/fphar.2015.00256</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Yu Z, Zhang L, Han D. Comparison Between Micro-CT and High-Resolution CT Scan of Temporal Bone. In book: Micro-CT of Temporal Bone. Yu Z, Zhang L, Han D (Eds.). Singapore: Springer; 2021. P. 169–183 https://doi.org/10.1007/978-981-16-0807-0_10</mixed-citation><mixed-citation xml:lang="en">Yu Z, Zhang L, Han D. Comparison Between Micro-CT and High-Resolution CT Scan of Temporal Bone. In book: Micro-CT of Temporal Bone. Yu Z, Zhang L, Han D (Eds.). Singapore: Springer; 2021. P. 169–183 https://doi.org/10.1007/978-981-16-0807-0_10</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Бурда А.Н., Рутковская А.С. Диагностика скрытого кариеса с помощью рентген-диагностики BITEWING. Современная стоматология. 2020;(3(80)):86–90.</mixed-citation><mixed-citation xml:lang="en">Burda AN, Rutkovskaya AS. Diagnostics of Hidden Caries by BITEWING X - Ray Diagnostics. Sovremennaya stomatologiya (Modern Dentistry). 2020;(3(80)):86–90. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Keklikoglou K, Arvanitidis C, Chatzigeorgiou G, Chatzinikolaou E, Karagiannidis E, Koletsa T, et al. Micro-CT for Biological and Biomedical Studies: A Comparison of Imaging Techniques. Journal of Imaging. 2021;7(9):172. https://doi.org/10.3390/jimaging7090172</mixed-citation><mixed-citation xml:lang="en">Keklikoglou K, Arvanitidis C, Chatzigeorgiou G, Chatzinikolaou E, Karagiannidis E, Koletsa T, et al. Micro-CT for Biological and Biomedical Studies: A Comparison of Imaging Techniques. Journal of Imaging. 2021;7(9):172. https://doi.org/10.3390/jimaging7090172</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Heath J, Poggel C (Eds.). An Overwiew of 3D X-ray Microscopy. Zeiss. Xradia 520 Versa 3D X-ray Microscope User Manual. UK, Chichester: John Wiley &amp; Sons Ltd; 2020. 41 p. https://manualzz.com/doc/57135760/zeiss-xradia-520-versa-3d-x-ray-microscope-user-manual (accessed: 14.11.2025)</mixed-citation><mixed-citation xml:lang="en">Heath J, Poggel C (Eds.). An Overwiew of 3D X-ray Microscopy. Zeiss. Xradia 520 Versa 3D X-ray Microscope User Manual. UK, Chichester: John Wiley &amp; Sons Ltd; 2020. 41 p. https://manualzz.com/doc/57135760/zeiss-xradia-520-versa-3d-x-ray-microscope-user-manual (accessed: 14.11.2025)</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Sasai H, Iwai H, Fujita D, Seto E, Izumi Y. The Use of Micro-computed Tomography in the Diagnosis of Dental and Oral Disease in Rabbits. BMC Veterinary Research. 2014;(10):209. https://doi.org/10.1186/s12917-014-0209-4</mixed-citation><mixed-citation xml:lang="en">Sasai H, Iwai H, Fujita D, Seto E, Izumi Y. The Use of Micro-computed Tomography in the Diagnosis of Dental and Oral Disease in Rabbits. BMC Veterinary Research. 2014;(10):209. https://doi.org/10.1186/s12917-014-0209-4</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Мужикян А.А., Макарова М.Н. Применение компьютерной томографии при оценке состояния органов и тканей лабораторных животных. Международный вестник ветеринарии. 2015;(4):73–80.</mixed-citation><mixed-citation xml:lang="en">Muzhikyan AA, Makarova MN. Using the CT Scan for Assessment of Organs and Tissues of Laboratory Animals. International Bulletin of Veterinary Medicine. 2015;(4):73–80. (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Hutchinson JC, Shelmerdine SC, Simcock IC, Sebire NJ, Arthurs OJ. Early Clinical Applications for Imaging at Microscopic Detail: Microfocus Computed Tomography (Micro-CT). British Journal of Radiology. 2017;90(1075):20170113. https://doi.org/10.1259/bjr.20170113</mixed-citation><mixed-citation xml:lang="en">Hutchinson JC, Shelmerdine SC, Simcock IC, Sebire NJ, Arthurs OJ. Early Clinical Applications for Imaging at Microscopic Detail: Microfocus Computed Tomography (Micro-CT). British Journal of Radiology. 2017;90(1075):20170113. https://doi.org/10.1259/bjr.20170113</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Fitzpatrick N, Garcia TC, Daryani A, Bertran J, Watari S, Hayashi K. Micro-CT Structural Analysis of the Canine Medial Coronoid Disease. Veterinary Surgery. 2016;45(3):336–346. https://doi.org/10.1111/vsu.12449</mixed-citation><mixed-citation xml:lang="en">Fitzpatrick N, Garcia TC, Daryani A, Bertran J, Watari S, Hayashi K. Micro-CT Structural Analysis of the Canine Medial Coronoid Disease. Veterinary Surgery. 2016;45(3):336–346. https://doi.org/10.1111/vsu.12449</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Eberspächer-Schweda MC, Schmitt K, Handschuh S, Fuchs-Baumgartinger A, Reiter AM. Diagnostic Yield of Micro-Computed Tomography (micro-CT) Versus Histopathology of a Canine Oral Fibrosarcoma. Journal of Veterinary Dentistry. 2020;37(1):14–21. https://doi.org/10.1177/0898756420926519</mixed-citation><mixed-citation xml:lang="en">Eberspächer-Schweda MC, Schmitt K, Handschuh S, Fuchs-Baumgartinger A, Reiter AM. Diagnostic Yield of Micro-Computed Tomography (micro-CT) Versus Histopathology of a Canine Oral Fibrosarcoma. Journal of Veterinary Dentistry. 2020;37(1):14–21. https://doi.org/10.1177/0898756420926519</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Ritman EL. Current Status of Developments and Applications of Micro-CT. Annual Review of Biomedical Engineering. 2011;13:531–552. https://doi.org/10.1146/annurev-bioeng-071910-124717</mixed-citation><mixed-citation xml:lang="en">Ritman EL. Current Status of Developments and Applications of Micro-CT. Annual Review of Biomedical Engineering. 2011;13:531–552. https://doi.org/10.1146/annurev-bioeng-071910-124717</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Jekl V, Brinek A, Zikmund T, Jeklova E, Kaiser J. Use of Micro-CT Imaging to Assess Ventral Mandibular Cortical Thickness and Volume in an Experimental Rodent Model with Chronic High-Phosphorus Intake. Frontiers in Veterinary Science. 2021;8:759093. https://doi.org/10.3389/fvets.2021.759093</mixed-citation><mixed-citation xml:lang="en">Jekl V, Brinek A, Zikmund T, Jeklova E, Kaiser J. Use of Micro-CT Imaging to Assess Ventral Mandibular Cortical Thickness and Volume in an Experimental Rodent Model with Chronic High-Phosphorus Intake. Frontiers in Veterinary Science. 2021;8:759093. https://doi.org/10.3389/fvets.2021.759093</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Honkanen MKM, Mohammadi A, Te Moller NCR, Ebrahimi M, Xu W, Plomp S, et al. Dual-Contrast Micro-CT Enables Cartilage Lesion Detection and Tissue Condition Evaluation Ex Vivo. Equine Veterinary Journal. 2023;55(2):315–324. https://doi.org/10.1111/evj.13573</mixed-citation><mixed-citation xml:lang="en">Honkanen MKM, Mohammadi A, Te Moller NCR, Ebrahimi M, Xu W, Plomp S, et al. Dual-Contrast Micro-CT Enables Cartilage Lesion Detection and Tissue Condition Evaluation Ex Vivo. Equine Veterinary Journal. 2023;55(2):315–324. https://doi.org/10.1111/evj.13573</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Szaluś-Jordanow O, Barszcz K, Mądry W, Buczyński M, Czopowicz M, Gierulski A, et al. Hydrops Fetalis Caused by a Complex Congenital Heart Defect with Concurrent Hypoplasia of Pulmonary Blood Vessels and Lungs Visualized by Micro-CT in a French Bulldog. BMC Veterinary Research. 2024;20(1):189. https://doi.org/10.1186/s12917-024-04060-5</mixed-citation><mixed-citation xml:lang="en">Szaluś-Jordanow O, Barszcz K, Mądry W, Buczyński M, Czopowicz M, Gierulski A, et al. Hydrops Fetalis Caused by a Complex Congenital Heart Defect with Concurrent Hypoplasia of Pulmonary Blood Vessels and Lungs Visualized by Micro-CT in a French Bulldog. BMC Veterinary Research. 2024;20(1):189. https://doi.org/10.1186/s12917-024-04060-5</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Zelentsov VB, Sadyrin EV, Mitrin BI, Swain MV. Mathematical Tools for Recovery of the Load on the Fissure According to the Micro-CT Results. Journal of the Mechanical Behavior of Biomedical Materials. 2023;138:105625. https://doi.org/10.1016/j.jmbbm.2022.105625</mixed-citation><mixed-citation xml:lang="en">Zelentsov VB, Sadyrin EV, Mitrin BI, Swain MV. Mathematical Tools for Recovery of the Load on the Fissure According to the Micro-CT Results. Journal of the Mechanical Behavior of Biomedical Materials. 2023;138:105625. https://doi.org/10.1016/j.jmbbm.2022.105625</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Jeong T, Shin HJ. An Approximation Technique for Real-Time Rendering of Phong Reflection Model with Image-Based Lighting. Journal of Korea Computer Graphics Society. 2014;20(1):13–19. https://doi.org/10.15701/kcgs.2014.20.1.13</mixed-citation><mixed-citation xml:lang="en">Jeong T, Shin HJ. An Approximation Technique for Real-Time Rendering of Phong Reflection Model with Image-Based Lighting. Journal of Korea Computer Graphics Society. 2014;20(1):13–19. https://doi.org/10.15701/kcgs.2014.20.1.13</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kogan MI, Popov IV, Kirichenko EY, Mitrin BI, Sadyrin EV, Kulaeva ED et al. X-ray Micro-computed Tomography in the Assessment of Penile Cavernous Fibrosis in a Rabbit Castration Model. Andrology. 2021;9(5):1467–1480. https://doi.org/10.1111/andr.13077</mixed-citation><mixed-citation xml:lang="en">Kogan MI, Popov IV, Kirichenko EY, Mitrin BI, Sadyrin EV, Kulaeva ED et al. X-ray Micro-computed Tomography in the Assessment of Penile Cavernous Fibrosis in a Rabbit Castration Model. Andrology. 2021;9(5):1467–1480. https://doi.org/10.1111/andr.13077</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>
