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Tkachev S, Brosalov V, Kit O, Maksimov A, Goncharova A, Sadyrin E, Dalina A, Popova E, Osipenko A, Voloshin M, Karnaukhov N, Timashev P. Unveiling Another Dimension: Advanced Visualization of Cancer Invasion and Metastasis via Micro-CT Imaging. Cancers (Basel) 2025; 17:1139. [PMID: 40227647 PMCID: PMC11988112 DOI: 10.3390/cancers17071139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 03/19/2025] [Accepted: 03/20/2025] [Indexed: 04/15/2025] Open
Abstract
Invasion and metastasis are well-known hallmarks of cancer, with metastatic disease accounting for 60% to 90% of cancer-related deaths [...].
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Affiliation(s)
- Sergey Tkachev
- Institute for Regenerative Medicine, Sechenov University, 119992 Moscow, Russia
| | | | - Oleg Kit
- National Medical Research Centre for Oncology, 344037 Rostov-on-Don, Russia
| | - Alexey Maksimov
- National Medical Research Centre for Oncology, 344037 Rostov-on-Don, Russia
| | - Anna Goncharova
- National Medical Research Centre for Oncology, 344037 Rostov-on-Don, Russia
| | - Evgeniy Sadyrin
- Laboratory of Mechanics of Biocompatible Materials, Don State Technical University, 344003 Rostov-on-Don, Russia
| | - Alexandra Dalina
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119334 Moscow, Russia
| | - Elena Popova
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies, 115682 Moscow, Russia
| | - Anton Osipenko
- Department of Pharmacology, Siberian State Medical University, 634050 Tomsk, Russia
| | - Mark Voloshin
- A.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia
| | - Nikolay Karnaukhov
- A.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia
- Institute of Clinical Morphology and Digital Pathology, Sechenov University, 119991 Moscow, Russia
| | - Peter Timashev
- Institute for Regenerative Medicine, Sechenov University, 119992 Moscow, Russia
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Bakoglu N, Cesmecioglu E, Sakamoto H, Yoshida M, Ohnishi T, Lee SY, Smith L, Yagi Y. Artificial intelligence-based automated determination in breast and colon cancer and distinction between atypical and typical mitosis using a cloud-based platform. Pathol Oncol Res 2024; 30:1611815. [PMID: 39539960 PMCID: PMC11557341 DOI: 10.3389/pore.2024.1611815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 10/15/2024] [Indexed: 11/16/2024]
Abstract
Artificial intelligence (AI) technology in pathology has been utilized in many areas and requires supervised machine learning. Notably, the annotations that define the ground truth for the identification of different confusing process pathologies, vary from study to study. In this study, we present our findings in the detection of invasive breast cancer for the IHC/ISH assessment system, along with the automated analysis of each tissue layer, cancer type, etc. in colorectal specimens. Additionally, models for the detection of atypical and typical mitosis in several organs were developed using existing whole-slide image (WSI) sets from other AI projects. All H&E slides were scanned by different scanners with a resolution of 0.12-0.50 μm/pixel, and then uploaded to a cloud-based AI platform. Convolutional neural networks (CNN) training sets consisted of invasive carcinoma, atypical and typical mitosis, and colonic tissue elements (mucosa-epithelium, lamina propria, muscularis mucosa, submucosa, muscularis propria, subserosa, vessels, and lymph nodes). In total, 59 WSIs from 59 breast cases, 217 WSIs from 54 colon cases, and 28 WSIs from 23 different types of tumor cases with relatively higher amounts of mitosis were annotated for the training. The harmonic average of precision and sensitivity was scored as F1 by AI. The final AI models of the Breast Project showed an F1 score of 94.49% for Invasive carcinoma. The mitosis project showed F1 scores of 80.18%, 97.40%, and 97.68% for mitosis, atypical, and typical mitosis layers, respectively. Overall F1 scores for the current results of the colon project were 90.02% for invasive carcinoma, 94.81% for the submucosa layer, and 98.02% for vessels and lymph nodes. After the training and optimization of the AI models and validation of each model, external validators evaluated the results of the AI models via blind-reader tasks. The AI models developed in this study were able to identify tumor foci, distinguish in situ areas, define colonic layers, detect vessels and lymph nodes, and catch the difference between atypical and typical mitosis. All results were exported for integration into our in-house applications for breast cancer and AI model development for both whole-block and whole-slide image-based 3D imaging assessment.
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Affiliation(s)
- Nilay Bakoglu
- Department of Pathology, Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Emine Cesmecioglu
- Department of Pathology, Marmara University Research and Education Hospital, Istanbul, Türkiye
| | - Hirotsugu Sakamoto
- Department of Medicine, Division of Gastroenterology, Jichi Medical University, Tochigi, Japan
| | - Masao Yoshida
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka, Japan
| | - Takashi Ohnishi
- Department of Pathology, Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Seung-Yi Lee
- Aiforia Technologies, Cambridge, MA, United States
| | | | - Yukako Yagi
- Department of Pathology, Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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Firat C, Urganci N, Teplov A, Cesmecioglu E, Bakoglu N, Vakiani E, Ntiamoah P, Weiser MR, Garcia-Aguilar J, Hameed M, Yagi Y, Shia J. Micro-Computed Tomography Whole-Block Imaging Reveals Origin and Path of Rectal Cancer Tumor Deposits: A Pilot Study. Diagnostics (Basel) 2024; 14:1704. [PMID: 39202192 PMCID: PMC11353868 DOI: 10.3390/diagnostics14161704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 08/01/2024] [Accepted: 08/03/2024] [Indexed: 09/03/2024] Open
Abstract
In colorectal carcinoma (CRC), tumor deposits (TDs) are described as macroscopic/microscopic nests/nodules in the lymph drainage area discontinuous with the primary mass, without identifiable lymph node (LN) tissue, and not confined to vascular or perineural spaces. A TD is categorized as pN1C only when no bona fide LN metastasis exists. However, there has been an ongoing debate on whether TDs should be counted as LNs. The fact that the origin of TDs is not fully understood adds further uncertainty. This pilot study aims to evaluate whether whole-block imaging by micro-computed tomography (micro-CT WBI) that enables three-dimensional reconstruction of whole-mount (WM) blocks can serve as a tool to assess the origin and path of CRC TDs. We evaluated whole-slide imaging (WSI) and micro-CT WBI of 20 WM blocks from a rectal cancer resection that contained TDs. Each TD was tracked through the contiguous blocks to define their origin and path. Of eleven TDs identified on WSI, six were detected on WBI. Strikingly, six of six TDs trackable through the blocks on WBI revealed an origin from the main tumor. This pilot study provided evidence that micro-CT WBI can serve as an effective tool to evaluate the origin and path of CRC TDs.
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Affiliation(s)
- Canan Firat
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Nil Urganci
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Alexei Teplov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Emine Cesmecioglu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
- Department of Pathology, Marmara University Research and Education Hospital, Istanbul 34899, Turkey
| | - Nilay Bakoglu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Efsevia Vakiani
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Peter Ntiamoah
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Martin R. Weiser
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Julio Garcia-Aguilar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Meera Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Yukako Yagi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
| | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (C.F.); (N.U.)
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Tkachev S, Chepelova N, Galechyan G, Ershov B, Golub D, Popova E, Antoshin A, Giliazova A, Voloshin S, Efremov Y, Istranova E, Timashev P. Three-Dimensional Cell Culture Micro-CT Visualization within Collagen Scaffolds in an Aqueous Environment. Cells 2024; 13:1234. [PMID: 39120266 PMCID: PMC11311787 DOI: 10.3390/cells13151234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/15/2024] [Accepted: 07/05/2024] [Indexed: 08/10/2024] Open
Abstract
Among all of the materials used in tissue engineering in order to develop bioequivalents, collagen shows to be the most promising due to its superb biocompatibility and biodegradability, thus becoming one of the most widely used materials for scaffold production. However, current imaging techniques of the cells within collagen scaffolds have several limitations, which lead to an urgent need for novel methods of visualization. In this work, we have obtained groups of collagen scaffolds and selected the contrasting agents in order to study pores and patterns of cell growth in a non-disruptive manner via X-ray computed microtomography (micro-CT). After the comparison of multiple contrast agents, a 3% aqueous phosphotungstic acid solution in distilled water was identified as the most effective amongst the media, requiring 24 h of incubation. The differences in intensity values between collagen fibers, pores, and masses of cells allow for the accurate segmentation needed for further analysis. Moreover, the presented protocol allows visualization of porous collagen scaffolds under aqueous conditions, which is crucial for the multimodal study of the native structure of samples.
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Affiliation(s)
- Sergey Tkachev
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Natalia Chepelova
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Gevorg Galechyan
- Laboratory of Clinical Smart Nanotechnologies, Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Boris Ershov
- Laboratory of Clinical Smart Nanotechnologies, Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Danila Golub
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Elena Popova
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Artem Antoshin
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Aliia Giliazova
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Sergei Voloshin
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Yuri Efremov
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Elena Istranova
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
| | - Peter Timashev
- Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
- Laboratory of Clinical Smart Nanotechnologies, Institute for Regenerative Medicine, Sechenov University, Moscow 119991, Russia
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov University, Moscow 119991, Russia
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Tajbakhsh K, Stanowska O, Neels A, Perren A, Zboray R. 3D Virtual Histopathology by Phase-Contrast X-Ray Micro-CT for Follicular Thyroid Neoplasms. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:2670-2678. [PMID: 38437150 DOI: 10.1109/tmi.2024.3372602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
Histological analysis is the core of follicular thyroid carcinoma (FTC) classification. The histopathological criteria of capsular and vascular invasion define malignancy and aggressiveness of FTC. Analysis of multiple sections is cumbersome and as only a minute tissue fraction is analyzed during histopathology, under-sampling remains a problem. Application of an efficient tool for complete tissue imaging in 3D would speed-up diagnosis and increase accuracy. We show that X-ray propagation-based imaging (XPBI) of paraffin-embedded tissue blocks is a valuable complementary method for follicular thyroid carcinoma diagnosis and assessment. It enables a fast, non-destructive and accurate 3D virtual histology of the FTC resection specimen. We demonstrate that XPBI virtual slices can reliably evaluate capsular invasions. Then we discuss the accessible morphological information from XPBI and their significance for vascular invasion diagnosis. We show 3D morphological information that allow to discern vascular invasions. The results are validated by comparing XPBI images with clinically accepted histology slides revised by and under supervision of two experienced endocrine pathologists.
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Dizbay Sak S, Sevim S, Buyuksungur A, Kayı Cangır A, Orhan K. The Value of Micro-CT in the Diagnosis of Lung Carcinoma: A Radio-Histopathological Perspective. Diagnostics (Basel) 2023; 13:3262. [PMID: 37892083 PMCID: PMC10606474 DOI: 10.3390/diagnostics13203262] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/12/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
Micro-computed tomography (micro-CT) is a relatively new imaging modality and the three-dimensional (3D) images obtained via micro-CT allow researchers to collect both quantitative and qualitative information on various types of samples. Micro-CT could potentially be used to examine human diseases and several studies have been published on this topic in the last decade. In this study, the potential uses of micro-CT in understanding and evaluating lung carcinoma and the relevant studies conducted on lung and other tumors are summarized. Currently, the resolution of benchtop laboratory micro-CT units has not reached the levels that can be obtained with light microscopy, and it is not possible to detect the histopathological features (e.g., tumor type, adenocarcinoma pattern, spread through air spaces) required for lung cancer management. However, its ability to provide 3D images in any plane of section, without disturbing the integrity of the specimen, suggests that it can be used as an auxiliary technique, especially in surgical margin examination, the evaluation of tumor invasion in the entire specimen, and calculation of primary and metastatic tumor volume. Along with future developments in micro-CT technology, it can be expected that the image resolution will gradually improve, the examination time will decrease, and the relevant software will be more user friendly. As a result of these developments, micro-CT may enter pathology laboratories as an auxiliary method in the pathological evaluation of lung tumors. However, the safety, performance, and cost effectiveness of micro-CT in the areas of possible clinical application should be investigated. If micro-CT passes all these tests, it may lead to the convergence of radiology and pathology applications performed independently in separate units today, and the birth of a new type of diagnostician who has equal knowledge of the histological and radiological features of tumors.
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Affiliation(s)
- Serpil Dizbay Sak
- Department of Pathology, Faculty of Medicine, Ankara University, Ankara 06230, Turkey
| | - Selim Sevim
- Department of Pathology, Faculty of Medicine, Ankara University, Ankara 06230, Turkey
| | - Arda Buyuksungur
- Department of Basic Medical Sciences, Faculty of Dentistry, Ankara University, Ankara 06560, Turkey
| | - Ayten Kayı Cangır
- Department of Thoracic Surgery Ankara, Faculty of Medicine, Ankara University, Ankara 06230, Turkey
| | - Kaan Orhan
- Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara 06560, Turkey
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Naydenov N, Teplov A, Zirakchian MZ, Ruan S, Chu BP, Serencsits B, Iraca M, Talarico O, Miller B, Kunin H, Schwartz J, Kesner A, Furenlid LR, Dauer L, Yagi Y, Humm JL, Zanzonico P, Sofocleous CT, Kirov AS. Yttrium-90 Activity Quantification in PET/CT-Guided Biopsy Specimens from Colorectal Hepatic Metastases Immediately after Transarterial Radioembolization Using Micro-CT and Autoradiography. J Vasc Interv Radiol 2023; 34:1556-1564.e4. [PMID: 37201655 PMCID: PMC11163896 DOI: 10.1016/j.jvir.2023.05.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 04/13/2023] [Accepted: 05/08/2023] [Indexed: 05/20/2023] Open
Abstract
PURPOSE To evaluate the yttrium-90 (90Y) activity distribution in biopsy tissue samples of the treated liver to quantify the dose with higher spatial resolution than positron emission tomography (PET) for accurate investigation of correlations with microscopic biological effects and to evaluate the radiation safety of this procedure. MATERIALS AND METHODS Eighty-six core biopsy specimens were obtained from 18 colorectal liver metastases (CLMs) immediately after 90Y transarterial radioembolization (TARE) with either resin or glass microspheres using real-time 90Y PET/CT guidance in 17 patients. A high-resolution micro-computed tomography (micro-CT) scanner was used to image the microspheres in part of the specimens and allow quantification of 90Y activity directly or by calibrating autoradiography (ARG) images. The mean doses to the specimens were derived from the measured specimens' activity concentrations and from the PET/CT scan at the location of the biopsy needle tip for all cases. Staff exposures were monitored. RESULTS The mean measured 90Y activity concentration in the CLM specimens at time of infusion was 2.4 ± 4.0 MBq/mL. The biopsies revealed higher activity heterogeneity than PET. Radiation exposure to the interventional radiologists during post-TARE biopsy procedures was minimal. CONCLUSIONS Counting the microspheres and measuring the activity in biopsy specimens obtained after TARE are safe and feasible and can be used to determine the administered activity and its distribution in the treated and biopsied liver tissue with high spatial resolution. Complementing 90Y PET/CT imaging with this approach promises to yield more accurate direct correlation of histopathological changes and absorbed dose in the examined specimens.
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Affiliation(s)
- Nicola Naydenov
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexei Teplov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Shutian Ruan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Bae P Chu
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Brian Serencsits
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marisa Iraca
- University of Rhode Island, Kingston, Rhode Island
| | - Olga Talarico
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Henry Kunin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jazmin Schwartz
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Adam Kesner
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Larry Dauer
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Yukako Yagi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Pat Zanzonico
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Assen S Kirov
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
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Brezgunova AA, Andrianova NV, Popkov VA, Tkachev SY, Manskikh VN, Pevzner IB, Zorova LD, Timashev PS, Silachev DN, Zorov DB, Plotnikov EY. New experimental model of kidney injury: Photothrombosis-induced kidney ischemia. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166622. [PMID: 36526237 DOI: 10.1016/j.bbadis.2022.166622] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 12/04/2022] [Accepted: 12/06/2022] [Indexed: 12/15/2022]
Abstract
Acute kidney injury (AKI) is a frequent pathology with a high mortality rate after even a single AKI episode and a great risk of chronic kidney disease (CKD) development. To get insight into mechanisms of the AKI pathogenesis, there is a need to develop diverse experimental models of the disease. Photothrombosis is a widely used method for inducing ischemia in the brain. In this study, for the first time, we described photothrombosis-induced kidney ischemia as an appropriate model of AKI and obtained comprehensive characteristics of the photothrombotic lesion using micro-computed tomography (micro-CT) and histological techniques. In the ischemic area, we observed destruction of tubules, the loss of brush border and nuclei, connective tissue fibers disorganization, leukocyte infiltration, and hyaline casts formation. In kidney tissue and urine, we revealed increased levels in markers of proliferation and injury. The explicit long-term consequence of photothrombosis-induced kidney ischemia was renal fibrosis. Thus, we establish a new low invasive experimental model of AKI, which provides a reproducible local ischemic injury lesion. We propose our model of photothrombosis-induced kidney ischemia as a useful approach for investigating AKI pathogenesis, studying the mechanisms of kidney regeneration, and development of therapy against AKI and CKD.
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Affiliation(s)
- Anna A Brezgunova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia; A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Nadezda V Andrianova
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Vasily A Popkov
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia
| | - Sergey Y Tkachev
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Vasily N Manskikh
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Irina B Pevzner
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia
| | - Ljubava D Zorova
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia
| | - Peter S Timashev
- Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia; World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - Denis N Silachev
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia
| | - Dmitry B Zorov
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia.
| | - Egor Y Plotnikov
- A.N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia; V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Moscow, Russia.
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Popova E, Tkachev S, Reshetov I, Timashev P, Ulasov I. Imaging Hallmarks of Sarcoma Progression Via X-ray Computed Tomography: Beholding the Flower of Evil. Cancers (Basel) 2022; 14:cancers14205112. [PMID: 36291896 PMCID: PMC9600487 DOI: 10.3390/cancers14205112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/13/2022] [Accepted: 10/15/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Sarcomas represent the largest group of rare solid tumors that arise from mesenchymal stem cells and are a leading cause of cancer death in individuals younger than 20 years of age. There is an immediate need for the development of an algorithm for the early accurate diagnosis of sarcomas due to the high rate of diagnostic inaccuracy, which reaches up to 30%. X-ray computed tomography is a non-invasive imaging technique used to obtain detailed internal images of the human or animal body in clinical practice and preclinical studies. We summarized the main imaging features of soft tissue and bone sarcomas, and noted the development of new molecular markers to reach tumor type-specific imaging. Also, we demonstrated the possibility of the use X-ray computed microtomography for non-destructive 3D visualization of sarcoma progression in preclinical studies. Finding correlations between X-ray computed tomography modalities and the results of the histopathological specimen examination may significantly increase the accuracy of diagnostics, which leads to the initiation of appropriate management in a timely manner and, consequently, to improved outcomes. Abstract Sarcomas are a leading cause of cancer death in individuals younger than 20 years of age and represent the largest group of rare solid tumors. To date, more than 100 morphological subtypes of sarcomas have been described, among which epidemiology, clinical features, management, and prognosis differ significantly. Delays and errors in the diagnosis of sarcomas limit the number of effective therapeutic modalities and catastrophically worsen the prognosis. Therefore, the development of an algorithm for the early accurate diagnosis of sarcomas seems to be as important as the development of novel therapeutic advances. This literature review aims to summarize the results of recent investigations regarding the imaging of sarcoma progression based on the use of X-ray computed tomography (CT) in preclinical studies and in current clinical practice through the lens of cancer hallmarks. We attempted to summarize the main CT imaging features of soft-tissue and bone sarcomas. We noted the development of new molecular markers with high specificity to antibodies and chemokines, which are expressed in particular sarcoma subtypes to reach tumor type-specific imaging. We demonstrate the possibility of the use of X-ray computed microtomography (micro-CT) for non-destructive 3D visualization of solid tumors by increasing the visibility of soft tissues with X-ray scattering agents. Based on the results of recent studies, we hypothesize that micro-CT enables the visualization of neovascularization and stroma formation in sarcomas at high-resolution in vivo and ex vivo, including the novel techniques of whole-block and whole-tissue imaging. Finding correlations between CT, PET/CT, and micro-CT imaging features, the results of the histopathological specimen examination and clinical outcomes may significantly increase the accuracy of soft-tissue and bone tumor diagnostics, which leads to the initiation of appropriate histotype-specific management in a timely manner and, consequently, to improved outcomes.
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Affiliation(s)
- Elena Popova
- World-Class Research Centre “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Sergey Tkachev
- World-Class Research Centre “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Igor Reshetov
- University Clinical Hospital No. 1, I. M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia
| | - Peter Timashev
- World-Class Research Centre “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
| | - Ilya Ulasov
- Group of Experimental Biotherapy and Diagnostic, Institute for Regenerative Medicine, World-Class Research Centre “Digital Biodesign and Personalized Healthcare”, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia
- Correspondence: ; Tel.: +7-901-797-5406
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A pilot study of micro-CT-based whole tissue imaging (WTI) on endoscopic submucosal dissection (ESD) specimens. Sci Rep 2022; 12:9889. [PMID: 35701447 PMCID: PMC9198046 DOI: 10.1038/s41598-022-13907-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 05/30/2022] [Indexed: 12/25/2022] Open
Abstract
Endoscopic submucosal dissection can remove large superficial gastrointestinal lesions in en bloc. A detailed pathological evaluation of the resected specimen is required to assess the risk of recurrence after treatment. However, the current method of sectioning specimens to a thickness of a few millimeters does not provide information between the sections that are lost during the preparation. In this study, we have produced three-dimensional images of the entire dissected lesion for nine samples by using micro-CT imaging system. Although it was difficult to diagnose histological type on micro-CT images, it successfully evaluates the extent of the lesion and its surgical margins. Micro-CT images can depict sites that cannot be observed by the conventional pathological diagnostic process, suggesting that it may be useful to use in a complementary manner.
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11
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Yoshida M, Cesmecioglu E, Firat C, Sakamoto H, Teplov A, Kawata N, Ntiamoah P, Ohnishi T, Ibrahim K, Vakiani E, Garcia-Aguilar J, Hameed M, Shia J, Yagi Y. Pathological Evaluation of Rectal Cancer Specimens Using Micro-Computed Tomography. Diagnostics (Basel) 2022; 12:diagnostics12040984. [PMID: 35454033 PMCID: PMC9044748 DOI: 10.3390/diagnostics12040984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 04/12/2022] [Indexed: 12/10/2022] Open
Abstract
Whole-block imaging (WBI) using micro-computed tomography (micro-CT) allows the nondestructive reconstruction of a three-dimensional view of tissues, implying that WBI may be used for accurate pathological evaluation of patients with rectal cancer. HOWEVER, the clinical impact of this approach is unclear. We aimed to clarify the efficacy of WBI in the whole-mount specimens of locally advanced rectal cancer. A total of 237 whole-mount formalin-fixed paraffin-embedded blocks from 13 patients with rectal cancer who underwent surgical treatment were enrolled and scanned with micro-CT to generate three-dimensional images. WBI was evaluated following the conventional pathological review of the corresponding whole-slide imaging (WSI). WBI identified all tumor sites detected using WSI. Furthermore, WBI revealed one additional tumor site, which was not detected using WSI. Tumor resection margin was significantly closer to the soft-tissue edge when measured using WBI (7.7 mm vs. 6.6 mm, p < 0.01). Seventy-six percent of tumor deposits on WSI were changed according to the evidence of tumor interaction with the surrounding tissues confirmed using WBI. Furthermore, WBI revealed 25 additional lymph nodes, six of which were metastatic. The combination of conventional hematoxylin and eosin-stained imaging and WBI may contribute to an accurate pathological assessment.
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Affiliation(s)
- Masao Yoshida
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka 411-8777, Japan;
- Correspondence: ; Tel.: +1-646-888-7617; Fax: +1-929-321-7025
| | - Emine Cesmecioglu
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
- Department of Pathology, Marmara University Research and Education Hospital, Istanbul 34899, Turkey
| | - Canan Firat
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Hirotsugu Sakamoto
- Department of Medicine, Division of Gastroenterology, Jichi Medical University, Tochigi 329-0498, Japan;
| | - Alexei Teplov
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Noboru Kawata
- Division of Endoscopy, Shizuoka Cancer Center, Shizuoka 411-8777, Japan;
| | - Peter Ntiamoah
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Takashi Ohnishi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Kareem Ibrahim
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Efsevia Vakiani
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Julio Garcia-Aguilar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA;
| | - Meera Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
| | - Yukako Yagi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; (E.C.); (C.F.); (A.T.); (P.N.); (T.O.); (K.I.); (E.V.); (M.H.); (J.S.); (Y.Y.)
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