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Xin X, Jian J, Fan X, Qi B, Zhao Y, Lv W, Zhao Y, Zhao X, Hu C. Multiscale X-ray phase-contrast CT unveils the evolution of bile infarct in obstructive biliary disease. Commun Biol 2024; 7:490. [PMID: 38654111 DOI: 10.1038/s42003-024-06185-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 04/11/2024] [Indexed: 04/25/2024] Open
Abstract
Bile infarct is a pivotal characteristic of obstructive biliary disease, but its evolution during the disease progression remains unclear. Our objective, therefore, is to explore morphological alterations of the bile infarct in the disease course by means of multiscale X-ray phase-contrast CT. Bile duct ligation is performed in mice to mimic the obstructive biliary disease. Intact liver lobes of the mice are scanned by phase-contrast CT at various resolution scales. Phase-contrast CT clearly presents three-dimensional (3D) images of the bile infarcts down to the submicron level with good correlation with histological images. The CT data illustrates that the infarct first appears on day 1 post-BDL, while a microchannel between the infarct and hepatic sinusoids is identified, the number of which increases with the disease progression. A 3D model of hepatic acinus is proposed, in which the infarct starts around the portal veins (zone I) and gradually progresses towards the central veins (zone III) during the disease process. Multiscale phase-contrast CT offers the comprehensive analysis of the evolutionary features of the bile infarct in obstructive biliary disease. During the course of the disease, the bile infarcts develop infarct-sinusoidal microchannels and gradually occupy the whole liver, promoting the disease progression.
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Affiliation(s)
- Xiaohong Xin
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Jianbo Jian
- Department of Radiation Oncology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xu Fan
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
- Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis and National Clinical Research Center of Digestive Disease, Beijing, 100050, China
| | - Beining Qi
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Yuanyuan Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Wenjuan Lv
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Yuqing Zhao
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China
| | - Xinyan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
- Beijing Key Laboratory of Translational Medicine on Liver Cirrhosis and National Clinical Research Center of Digestive Disease, Beijing, 100050, China.
| | - Chunhong Hu
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, 300070, China.
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Yi E, Sunaguchi N, Lee JH, Seo SJ, Lee S, Shimao D, Ando M. Synchrotron Radiation Refraction-Contrast Computed Tomography Based on X-ray Dark-Field Imaging Optics of Pulmonary Malignancy: Comparison with Pathologic Examination. Cancers (Basel) 2024; 16:806. [PMID: 38398196 PMCID: PMC10886596 DOI: 10.3390/cancers16040806] [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: 10/19/2023] [Revised: 01/12/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Refraction-contrast computed tomography based on X-ray dark-field imaging (XDFI) using synchrotron radiation (SR) has shown superior resolution compared to conventional absorption-based methods and is often comparable to pathologic examination under light microscopy. This study aimed to investigate the potential of the XDFI technique for clinical application in lung cancer diagnosis. Two types of lung specimens, primary and secondary malignancies, were investigated using an XDFI optic system at beamline BL14B of the High-Energy Accelerator Research Organization Photon Factory, Tsukuba, Japan. Three-dimensional reconstruction and segmentation were performed on each specimen. Refraction-contrast computed tomographic images were compared with those obtained from pathological examinations. Pulmonary microstructures including arterioles, venules, bronchioles, alveolar sacs, and interalveolar septa were identified in SR images. Malignant lesions could be distinguished from the borders of normal structures. The lepidic pattern was defined as the invasive component of the same primary lung adenocarcinoma. The SR images of secondary lung adenocarcinomas of colorectal origin were distinct from those of primary lung adenocarcinomas. Refraction-contrast images based on XDFI optics of lung tissues correlated well with those of pathological examinations under light microscopy. This imaging method may have the potential for use in lung cancer diagnosis without tissue damage. Considerable equipment modifications are crucial before implementing them from the lab to the hospital in the near future.
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Affiliation(s)
- Eunjue Yi
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea;
| | - Naoki Sunaguchi
- Department of Radiological and Medical Laboratory Sciences, Graduate School of Medicine, Nagoya University, Nagoya 461-8673, Japan;
| | - Jeong Hyeon Lee
- Department of Pathology, Korea University Anam Hospital, Seoul 02841, Republic of Korea;
| | - Seung-Jun Seo
- Department of Experimental Animal Facility, Daegu Catholic University Medical Center, Daegu 42472, Republic of Korea;
| | - Sungho Lee
- Department of Thoracic and Cardiovascular Surgery, Korea University Anam Hospital, Seoul 02841, Republic of Korea;
| | - Daisuke Shimao
- Faculty of Health Sciences, Butsuryo College of Osaka, Osaka 593-8328, Japan;
| | - Masami Ando
- Photon Factory, Institute of Materials Structure Science, High-Energy Accelerator Research Organization, Tsukuba 300-3256, Japan;
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Sunaguchi N, Huang Z, Shimao D, Ichihara S, Nishimura R, Iwakoshi A, Yuasa T, Ando M. Crystal optics simulations for delineation of the three-dimensional cellular nuclear distribution using analyzer-based refraction-contrast computed tomography. Sci Rep 2022; 12:19595. [PMID: 36380223 PMCID: PMC9666655 DOI: 10.1038/s41598-022-24249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open
Abstract
Refraction-contrast computed tomography (RCT) using a refractive angle analyzer of Si perfect crystal can reconstruct the three-dimensional structure of biological soft tissue with contrast comparable to that of stained two-dimensional pathological images. However, the blurring of X-ray beam by the analyzer has prevented improvement of the spatial resolution of RCT, and the currently possible observation of tissue structure at a scale of approximately 20 µm provides only limited medical information. As in pathology, to differentiate between benign and malignant forms of cancer, it is necessary to observe the distribution of the cell nucleus, which is approximately 5-10 µm in diameter. In this study, based on the X-ray dynamical diffraction theory using the Takagi-Taupin equation, which calculates the propagation of X-ray energy in crystals, an analyzer crystal optical system depicting the distribution of cell nuclei was investigated by RCT imaging simulation experiments in terms of the thickness of the Laue-case analyzer, the camera pixel size and the difference in spatial resolution between the Bragg-case and Laue-case analyzers.
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Affiliation(s)
- Naoki Sunaguchi
- grid.27476.300000 0001 0943 978XDepartment of Radiological and Medical Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Zhuoran Huang
- grid.27476.300000 0001 0943 978XDepartment of Radiological and Medical Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Daisuke Shimao
- grid.444700.30000 0001 2176 3638Department of Radiological Technology, Hokkaido University of Science, Sapporo, Japan
| | - Shu Ichihara
- grid.410840.90000 0004 0378 7902Department of Pathology, Clinical Research Center, Nagoya Medical Center, Nagoya, Japan
| | - Rieko Nishimura
- grid.410840.90000 0004 0378 7902Department of Pathology, Clinical Research Center, Nagoya Medical Center, Nagoya, Japan
| | - Akari Iwakoshi
- grid.410840.90000 0004 0378 7902Department of Pathology, Clinical Research Center, Nagoya Medical Center, Nagoya, Japan
| | - Tetsuya Yuasa
- grid.268394.20000 0001 0674 7277Graduate School of Engineering and Science, Yamagata University, Yonezawa, Japan
| | - Masami Ando
- grid.410794.f0000 0001 2155 959XHigh Energy Accelerator Research Organization, Tsukuba, Japan
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Multi-Modal X-ray Imaging and Analysis for Characterization of Urinary Stones. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12083798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Backgound: The composition of stones formed in the urinary tract plays an important role in their management over time. The most common imaging method for the non-invasive evaluation of urinary stones is radiography and computed tomography (CT). However, CT is not very sensitive, and cannot differentiate between all critical stone types. In this study, we propose the application, and evaluate the potential, of a multi-modal (or multi-contrast) X-ray imaging technique called speckle-based imaging (SBI) to differentiate between various types of urinary stones. Methods: Three different stone samples were extracted from animal and human urinary tracts and examined in a laboratory-based speckle tracking setup. The results were discussed based on an X-ray diffraction analysis and a comparison with X-ray microtomography and grating-based interferometry. Results: The stones were classified through compositional analysis by X-ray diffraction. The multi-contrast images obtained using the SBI method provided detailed information about the composition of various urinary stone types, and could differentiate between them. X-ray SBI could provide highly sensitive and high-resolution characterizations of different urinary stones in the radiography mode, comparable to those by grating interferometry. Conclusions: This investigation demonstrated the capability of the SBI technique for the non-invasive classification of urinary stones through radiography in a simple and cost-effective laboratory setting. This opens the possibility for further studies concerning full-field in vivo SBI for the clinical imaging of urinary stones.
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Wu Y, Zhang L, Guo S, Zhang L, Gao F, Jia M, Zhou Z. Enhanced phase retrieval via deep concatenation networks for in-line X-ray phase contrast imaging. Phys Med 2022; 95:41-49. [DOI: 10.1016/j.ejmp.2021.12.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/19/2021] [Accepted: 12/28/2021] [Indexed: 12/18/2022] Open
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Piovesan A, Vancauwenberghe V, Van De Looverbosch T, Verboven P, Nicolaï B. X-ray computed tomography for 3D plant imaging. TRENDS IN PLANT SCIENCE 2021; 26:1171-1185. [PMID: 34404587 DOI: 10.1016/j.tplants.2021.07.010] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/05/2021] [Accepted: 07/21/2021] [Indexed: 06/13/2023]
Abstract
X-ray computed tomography (CT) is a valuable tool for 3D imaging of plant tissues and organs. Applications include the study of plant development and organ morphogenesis, as well as modeling of transport processes in plants. Some challenges remain, however, including attaining higher contrast for easier quantification, increasing the resolution for imaging subcellular features, and decreasing image acquisition and processing time for high-throughput phenotyping. In addition, phase contrast, multispectral, dark-field, soft X-ray, and time-resolved imaging are emerging. At the same time, a large amount of 3D image data are becoming available, posing challenges for data management. We review recent advances in the area of X-ray CT for plant imaging, and describe opportunities for using such images for studying transport processes in plants.
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Affiliation(s)
- Agnese Piovesan
- Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium
| | - Valérie Vancauwenberghe
- Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium
| | - Tim Van De Looverbosch
- Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium
| | - Pieter Verboven
- Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium.
| | - Bart Nicolaï
- Katholieke Universiteit (KU) Leuven, Division MeBioS (Mechatronics, Biostatistics, and Sensors) - Postharvest Group, Willem de Croylaan 42, BE-3001 Leuven, Belgium; Flanders Centre of Postharvest Technology (VCBT), Willem de Croylaan 42, BE-3001 Leuven, Belgium
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Usefulness of X-ray dark-field imaging in the evaluation of local recurrence after nipple-sparing mastectomy. Int J Comput Assist Radiol Surg 2021; 16:1915-1923. [PMID: 34386901 DOI: 10.1007/s11548-021-02472-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Our previous study suggests that the cross-sectional morphology of ducts and branching of ducts in the nipple are associated with the presence of breast cancer. In this study, we evaluated whether cross-sectional morphology and duct branching of human nipple obtained by X-ray dark-field imaging tomographic technique (XDFI-CT) could predict the likelihood of the presence of intraductal cancer into the nipple. METHODS A total of 51 nipple specimens were obtained from consecutive total mastectomies performed for breast cancer in Nagoya Medical Center. After reconstructing 3D images of the nipple using XDFI-CT, the cross-sectional images and the 3D arrangement of ducts were extracted. These cross-sectional images of ducts were classified into four patterns based on the status of the lumen without being informed of pathology results. RESULTS Of the four patterns, the distended ducts with heterogenous content were highly correlated with the presence of ductal carcinoma in situ confirmed by histopathology. The total number of orifices identified in the 51 specimens was 1298, and 182 (14%) at the tip and 19 (1.5%) at least 5 mm depth from the tip were composed of two or more ducts. CONCLUSIONS Anatomy of nipple ducts is essential to evaluate risk of local recurrence after nipple-sparing mastectomy because cancerous spread occurs within the duct of the same segment of the mammary duct-lobular system in the in situ stage. The 3D microscale anatomy of nipple ducts revealed by XDFI-CT provides useful information to assess the risk of breast cancer involvement at the preserved portion in nipple-sparing mastectomy.
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Editorial. Phys Med 2020; 79:ii-v. [DOI: 10.1016/j.ejmp.2020.11.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/20/2020] [Indexed: 11/20/2022] Open
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