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Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours
PURPOSE: To analyse the diagnostic signs present in slices of human breast tumour specimens using synchrotron radiation phase-contrast imaging computed tomography (PCI-CT) for the first time and assess the feasibility of this technique for clinical applications. MATERIALS AND METHODS: The ethics com...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386813/ https://www.ncbi.nlm.nih.gov/pubmed/25844722 http://dx.doi.org/10.1371/journal.pone.0124143 |
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author | Jian, Wushuai Wu, Mingshu Shi, Hongli Wang, Liting Zhang, Lu Luo, Shuqian |
author_facet | Jian, Wushuai Wu, Mingshu Shi, Hongli Wang, Liting Zhang, Lu Luo, Shuqian |
author_sort | Jian, Wushuai |
collection | PubMed |
description | PURPOSE: To analyse the diagnostic signs present in slices of human breast tumour specimens using synchrotron radiation phase-contrast imaging computed tomography (PCI-CT) for the first time and assess the feasibility of this technique for clinical applications. MATERIALS AND METHODS: The ethics committee of our university and relevant clinical hospital approved this prospective study, and written informed consent was obtained from all patients. PCI-CT of human breast tumour specimens with synchrotron radiation was performed at the Shanghai Synchrotron Radiation Facility (SSRF). A total of 14 specimens of early-stage carcinomas and 8 specimens of adenomas were enrolled. Based on raw data reconstruction, the diagnostic signs present in the slices were analysed and correlated with histopathology. We proposed a criterion for clinical diagnosis according to the evaluated signs and the Breast Imaging Reporting and Data System (BI-RADS) for reference. The criterion was then assessed by clinicians in a double-blind method. Finally, descriptive statistics were evaluated, depending on the assessment results. RESULTS: The 14 carcinoma specimens and 8 adenoma specimens were diagnosed as malignant and benign tumours, respectively. The total coincidence rate was 100%. CONCLUSION: Our study results demonstrate that the X-ray diagnostic signs observed in the specimen slices and the criterion used for clinical diagnosis were accurate and reliable. The criterion based on signs analysis can be used to differentiate early-stage benign or malignant tumours. As a promising imaging method, PCI-CT can serve as a possible and feasible supplement to BI-RADS in the future. |
format | Online Article Text |
id | pubmed-4386813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43868132015-04-09 Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours Jian, Wushuai Wu, Mingshu Shi, Hongli Wang, Liting Zhang, Lu Luo, Shuqian PLoS One Research Article PURPOSE: To analyse the diagnostic signs present in slices of human breast tumour specimens using synchrotron radiation phase-contrast imaging computed tomography (PCI-CT) for the first time and assess the feasibility of this technique for clinical applications. MATERIALS AND METHODS: The ethics committee of our university and relevant clinical hospital approved this prospective study, and written informed consent was obtained from all patients. PCI-CT of human breast tumour specimens with synchrotron radiation was performed at the Shanghai Synchrotron Radiation Facility (SSRF). A total of 14 specimens of early-stage carcinomas and 8 specimens of adenomas were enrolled. Based on raw data reconstruction, the diagnostic signs present in the slices were analysed and correlated with histopathology. We proposed a criterion for clinical diagnosis according to the evaluated signs and the Breast Imaging Reporting and Data System (BI-RADS) for reference. The criterion was then assessed by clinicians in a double-blind method. Finally, descriptive statistics were evaluated, depending on the assessment results. RESULTS: The 14 carcinoma specimens and 8 adenoma specimens were diagnosed as malignant and benign tumours, respectively. The total coincidence rate was 100%. CONCLUSION: Our study results demonstrate that the X-ray diagnostic signs observed in the specimen slices and the criterion used for clinical diagnosis were accurate and reliable. The criterion based on signs analysis can be used to differentiate early-stage benign or malignant tumours. As a promising imaging method, PCI-CT can serve as a possible and feasible supplement to BI-RADS in the future. Public Library of Science 2015-04-06 /pmc/articles/PMC4386813/ /pubmed/25844722 http://dx.doi.org/10.1371/journal.pone.0124143 Text en © 2015 Jian et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Jian, Wushuai Wu, Mingshu Shi, Hongli Wang, Liting Zhang, Lu Luo, Shuqian Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title | Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title_full | Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title_fullStr | Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title_full_unstemmed | Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title_short | Signs Analysis and Clinical Assessment: Phase-Contrast Computed Tomography of Human Breast Tumours |
title_sort | signs analysis and clinical assessment: phase-contrast computed tomography of human breast tumours |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386813/ https://www.ncbi.nlm.nih.gov/pubmed/25844722 http://dx.doi.org/10.1371/journal.pone.0124143 |
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