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Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas
BACKGROUND: We investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC). METHODS: We recruited 527 women with EEC who underwent staging surgery at a single medical i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855918/ https://www.ncbi.nlm.nih.gov/pubmed/34967506 http://dx.doi.org/10.1002/cam4.4486 |
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author | Wu, Chia‐Ying Tai, Yi‐Jou Shih, I‐Lun Chiang, Ying‐Cheng Chen, Yu‐Li Hsu, Heng‐Cheng Cheng, Wen‐Fang |
author_facet | Wu, Chia‐Ying Tai, Yi‐Jou Shih, I‐Lun Chiang, Ying‐Cheng Chen, Yu‐Li Hsu, Heng‐Cheng Cheng, Wen‐Fang |
author_sort | Wu, Chia‐Ying |
collection | PubMed |
description | BACKGROUND: We investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC). METHODS: We recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra‐abdominal metastasis, and pelvic and/or para‐aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed. RESULTS: The rate of the preoperative MRI‐based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra‐abdominal metastasis, and 87.5% and 92.2% for pelvic and para‐aortic nodal metastases, respectively. The negative predictive value of intra‐abdominal metastasis was the highest with 99.8%. CONCLUSIONS: Preoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra‐abdominal metastatic disease. |
format | Online Article Text |
id | pubmed-8855918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88559182022-02-25 Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas Wu, Chia‐Ying Tai, Yi‐Jou Shih, I‐Lun Chiang, Ying‐Cheng Chen, Yu‐Li Hsu, Heng‐Cheng Cheng, Wen‐Fang Cancer Med Clinical Cancer Research BACKGROUND: We investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC). METHODS: We recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra‐abdominal metastasis, and pelvic and/or para‐aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed. RESULTS: The rate of the preoperative MRI‐based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra‐abdominal metastasis, and 87.5% and 92.2% for pelvic and para‐aortic nodal metastases, respectively. The negative predictive value of intra‐abdominal metastasis was the highest with 99.8%. CONCLUSIONS: Preoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra‐abdominal metastatic disease. John Wiley and Sons Inc. 2021-12-30 /pmc/articles/PMC8855918/ /pubmed/34967506 http://dx.doi.org/10.1002/cam4.4486 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Cancer Research Wu, Chia‐Ying Tai, Yi‐Jou Shih, I‐Lun Chiang, Ying‐Cheng Chen, Yu‐Li Hsu, Heng‐Cheng Cheng, Wen‐Fang Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title | Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title_full | Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title_fullStr | Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title_full_unstemmed | Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title_short | Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
title_sort | preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas |
topic | Clinical Cancer Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855918/ https://www.ncbi.nlm.nih.gov/pubmed/34967506 http://dx.doi.org/10.1002/cam4.4486 |
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