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Predictive value of lesion morphology in rectal cancer based on MRI before surgery

OBJECTIVE: To explore the relationship of MRI morphology of primary rectal cancer with extramural vascular invasion (EMVI), metastasis and local recurrence. MATERIALS AND METHODS: This retrospective study included 153 patients with rectal cancer. Imaging factors and histopathological index including...

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Autores principales: Lv, Baohua, Cheng, Xiaojuan, Xie, Yuanzhong, Cheng, Yanling, Yang, Zhenghan, Wang, Zhenchang, Jin, Erhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510204/
https://www.ncbi.nlm.nih.gov/pubmed/37726671
http://dx.doi.org/10.1186/s12876-023-02910-4
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author Lv, Baohua
Cheng, Xiaojuan
Xie, Yuanzhong
Cheng, Yanling
Yang, Zhenghan
Wang, Zhenchang
Jin, Erhu
author_facet Lv, Baohua
Cheng, Xiaojuan
Xie, Yuanzhong
Cheng, Yanling
Yang, Zhenghan
Wang, Zhenchang
Jin, Erhu
author_sort Lv, Baohua
collection PubMed
description OBJECTIVE: To explore the relationship of MRI morphology of primary rectal cancer with extramural vascular invasion (EMVI), metastasis and local recurrence. MATERIALS AND METHODS: This retrospective study included 153 patients with rectal cancer. Imaging factors and histopathological index including nodular projection (NP), cord sign (CS) at primary tumor margin, irregular nodules (IN) of mesorectum, MRI-detected peritoneal reflection invasion (PRI), range of rectal wall invasion (RRWI), patterns and length of tumor growth, maximal extramural depth (EMD), histologically confirmed local node involvement (hLN), MRI T stage, MRI N stage, MRI-detected extramural vascular invasion (mEMVI) and histologically confirmed extramural vascular invasion (hEMVI) were evaluated. Determining the relationship between imaging factors and hEMVI, synchronous metastasis and local recurrence by univariate analysis and multivariable logistic regression, and a nomogram validated internally via Bootstrap self-sampling was constructed based on the latter. RESULTS: Thirty-eight cases of hEMVI, fourteen cases of synchronous metastasis and ten cases of local recurrence were observed among 52 NP cases. There were 50 cases of mEMVI with moderate consistency with hEMVI (Kappa = 0.614). NP, CS, EMD and mEMVI showed statistically significant differences in the negative and positive groups of hEMVI, synchronous metastasis, and local recurrence. Compared to patients with local mass growth, the rectal tumor with circular infiltration had been found to be at higher risk of synchronous metastasis and local recurrence (P < 0.05). NP and IN remained as significant predictors for hEMVI, and mEMVI was a predictor for synchronous metastasis, while PRI and mEMVI were predictors for local recurrences. The nomogram for predicting hEMVI demonstrated a C-index of 0.868, sensitivity of 86.0%, specificity of 79.6%, and accuracy of 81.7%. CONCLUSION: NP, CS, IN, large EMD, mEMVI, and circular infiltration are significantly associated with several adverse prognostic indicators. The nomogram based on NP has good predictive performance for preoperative EMVI. mEMVI is a risk factor for synchronous metastasis. PRI and mEMVI are risk factors for local recurrence.
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spelling pubmed-105102042023-09-21 Predictive value of lesion morphology in rectal cancer based on MRI before surgery Lv, Baohua Cheng, Xiaojuan Xie, Yuanzhong Cheng, Yanling Yang, Zhenghan Wang, Zhenchang Jin, Erhu BMC Gastroenterol Research OBJECTIVE: To explore the relationship of MRI morphology of primary rectal cancer with extramural vascular invasion (EMVI), metastasis and local recurrence. MATERIALS AND METHODS: This retrospective study included 153 patients with rectal cancer. Imaging factors and histopathological index including nodular projection (NP), cord sign (CS) at primary tumor margin, irregular nodules (IN) of mesorectum, MRI-detected peritoneal reflection invasion (PRI), range of rectal wall invasion (RRWI), patterns and length of tumor growth, maximal extramural depth (EMD), histologically confirmed local node involvement (hLN), MRI T stage, MRI N stage, MRI-detected extramural vascular invasion (mEMVI) and histologically confirmed extramural vascular invasion (hEMVI) were evaluated. Determining the relationship between imaging factors and hEMVI, synchronous metastasis and local recurrence by univariate analysis and multivariable logistic regression, and a nomogram validated internally via Bootstrap self-sampling was constructed based on the latter. RESULTS: Thirty-eight cases of hEMVI, fourteen cases of synchronous metastasis and ten cases of local recurrence were observed among 52 NP cases. There were 50 cases of mEMVI with moderate consistency with hEMVI (Kappa = 0.614). NP, CS, EMD and mEMVI showed statistically significant differences in the negative and positive groups of hEMVI, synchronous metastasis, and local recurrence. Compared to patients with local mass growth, the rectal tumor with circular infiltration had been found to be at higher risk of synchronous metastasis and local recurrence (P < 0.05). NP and IN remained as significant predictors for hEMVI, and mEMVI was a predictor for synchronous metastasis, while PRI and mEMVI were predictors for local recurrences. The nomogram for predicting hEMVI demonstrated a C-index of 0.868, sensitivity of 86.0%, specificity of 79.6%, and accuracy of 81.7%. CONCLUSION: NP, CS, IN, large EMD, mEMVI, and circular infiltration are significantly associated with several adverse prognostic indicators. The nomogram based on NP has good predictive performance for preoperative EMVI. mEMVI is a risk factor for synchronous metastasis. PRI and mEMVI are risk factors for local recurrence. BioMed Central 2023-09-19 /pmc/articles/PMC10510204/ /pubmed/37726671 http://dx.doi.org/10.1186/s12876-023-02910-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lv, Baohua
Cheng, Xiaojuan
Xie, Yuanzhong
Cheng, Yanling
Yang, Zhenghan
Wang, Zhenchang
Jin, Erhu
Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title_full Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title_fullStr Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title_full_unstemmed Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title_short Predictive value of lesion morphology in rectal cancer based on MRI before surgery
title_sort predictive value of lesion morphology in rectal cancer based on mri before surgery
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510204/
https://www.ncbi.nlm.nih.gov/pubmed/37726671
http://dx.doi.org/10.1186/s12876-023-02910-4
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