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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...

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Autores principales: Wu, Chia‐Ying, Tai, Yi‐Jou, Shih, I‐Lun, Chiang, Ying‐Cheng, Chen, Yu‐Li, Hsu, Heng‐Cheng, Cheng, Wen‐Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
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.
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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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