MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis

Abstract Background To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC). Methods One hundred and seventy-four EC patients who were treated with operation and f...

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Autores principales: Kaiyue Zhang, Yu Zhang, Xin Fang, Jiangning Dong, Liting Qian
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Lenguaje:EN
Publicado: BMC 2021
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spelling oai:doaj.org-article:0b31d29c11694e2aafba130f7da255bc2021-11-28T12:27:46ZMRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis10.1186/s12885-021-08988-x1471-2407https://doaj.org/article/0b31d29c11694e2aafba130f7da255bc2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12885-021-08988-xhttps://doaj.org/toc/1471-2407Abstract Background To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC). Methods One hundred and seventy-four EC patients who were treated with operation and followed up in our institution were retrospectively reviewed, and the patients were divided into training and test group. Baseline clinicopathological features and mean ADC (ADCmean), minimum ADC (ADCmin), and maximum ADC (ADCmax) were analyzed. Radiomic parameters were extracted on T2 weighted images and screened by logistic regression, and then a radiomics signature was developed to calculate the radiomic score (radscore). In training group, Kaplan–Meier analysis was performed and a Cox regression model was used to evaluate the correlation between clinicopathological features, ADC values and radscore with recurrence, and verified in the test group. Results ADCmean showed inverse correlation with recurrence, while radscore was positively associated with recurrence. In univariate analyses, FIGO stage, pathological types, myometrial invasion, ADCmean, ADCmin and radscore were associated with recurrence. In the training group, multivariate Cox analysis showed that pathological types, ADCmean and radscore were independent risk factors for recurrence, which were verified in the test group. Conclusions ADCmean value and radscore were independent predictors of recurrence of EC, which can supplement prognostic information in addition to clinicopathological information and provide basis for individualized treatment and follow-up plan.Kaiyue ZhangYu ZhangXin FangJiangning DongLiting QianBMCarticleEndometrial neoplasmsRecurrenceRisk factorsApparent diffusion coefficientRadiomicsNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBMC Cancer, Vol 21, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Endometrial neoplasms
Recurrence
Risk factors
Apparent diffusion coefficient
Radiomics
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Endometrial neoplasms
Recurrence
Risk factors
Apparent diffusion coefficient
Radiomics
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Kaiyue Zhang
Yu Zhang
Xin Fang
Jiangning Dong
Liting Qian
MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
description Abstract Background To identify predictive value of apparent diffusion coefficient (ADC) values and magnetic resonance imaging (MRI)-based radiomics for all recurrences in patients with endometrial carcinoma (EC). Methods One hundred and seventy-four EC patients who were treated with operation and followed up in our institution were retrospectively reviewed, and the patients were divided into training and test group. Baseline clinicopathological features and mean ADC (ADCmean), minimum ADC (ADCmin), and maximum ADC (ADCmax) were analyzed. Radiomic parameters were extracted on T2 weighted images and screened by logistic regression, and then a radiomics signature was developed to calculate the radiomic score (radscore). In training group, Kaplan–Meier analysis was performed and a Cox regression model was used to evaluate the correlation between clinicopathological features, ADC values and radscore with recurrence, and verified in the test group. Results ADCmean showed inverse correlation with recurrence, while radscore was positively associated with recurrence. In univariate analyses, FIGO stage, pathological types, myometrial invasion, ADCmean, ADCmin and radscore were associated with recurrence. In the training group, multivariate Cox analysis showed that pathological types, ADCmean and radscore were independent risk factors for recurrence, which were verified in the test group. Conclusions ADCmean value and radscore were independent predictors of recurrence of EC, which can supplement prognostic information in addition to clinicopathological information and provide basis for individualized treatment and follow-up plan.
format article
author Kaiyue Zhang
Yu Zhang
Xin Fang
Jiangning Dong
Liting Qian
author_facet Kaiyue Zhang
Yu Zhang
Xin Fang
Jiangning Dong
Liting Qian
author_sort Kaiyue Zhang
title MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
title_short MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
title_full MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
title_fullStr MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
title_full_unstemmed MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis
title_sort mri-based radiomics and adc values are related to recurrence of endometrial carcinoma: a preliminary analysis
publisher BMC
publishDate 2021
url https://doaj.org/article/0b31d29c11694e2aafba130f7da255bc
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