Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma
ObjectiveThe application value of T2 mapping in evaluating endometrial carcinoma (EMC) features remains unclear. The aim of the study was to determine the quantitative T2 values in EMC using a novel accelerated T2 mapping, and evaluate them for detection, classification,and grading of EMC.Materials...
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Frontiers Media S.A.
2023-07-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1117148/full |
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author | Zanxia Zhang Jie Liu Weijian Wang Yong Zhang Feifei Qu Tom Hilbert Tom Hilbert Tom Hilbert Tobias Kober Tobias Kober Tobias Kober Jingliang Cheng Shujian Li Jinxia Zhu |
author_facet | Zanxia Zhang Jie Liu Weijian Wang Yong Zhang Feifei Qu Tom Hilbert Tom Hilbert Tom Hilbert Tobias Kober Tobias Kober Tobias Kober Jingliang Cheng Shujian Li Jinxia Zhu |
author_sort | Zanxia Zhang |
collection | DOAJ |
description | ObjectiveThe application value of T2 mapping in evaluating endometrial carcinoma (EMC) features remains unclear. The aim of the study was to determine the quantitative T2 values in EMC using a novel accelerated T2 mapping, and evaluate them for detection, classification,and grading of EMC.Materials and methodsFifty-six patients with pathologically confirmed EMC and 17 healthy volunteers were prospectively enrolled in this study. All participants underwent pelvic magnetic resonance imaging, including DWI and accelerated T2 mapping, before treatment. The T2 and apparent diffusion coefficient (ADC) values of different pathologic EMC features were extracted and compared. Receiver operating characteristic (ROC) curve analysis was performed to analyze the diagnostic efficacy of the T2 and ADC values in distinguishing different pathological features of EMC.ResultsThe T2 values and ADC values were significantly lower in EMC than in normal endometrium (bothl p < 0.05). The T2 and ADC values were significantly different between endometrioid adenocarcinoma (EA) and non-EA (both p < 0.05) and EMC tumor grades (all p < 0.05) but not for EMC clinical types (both p > 0.05) and depth of myometrial invasion (both p > 0.05). The area under the ROC curve (AUC) was higher for T2 values than for ADC values in predicting grade 3 EA (0.939 vs. 0.764, p = 0.048). When combined T2 and ADC values, the AUC for predicting grade 3 EA showed a significant increase to 0.947 (p = 0.03) compared with those of ADC values. The T2 and ADC values were negatively correlated with the tumor grades (r = -0.706 and r = -0.537, respectively).ConclusionQuantitative T2 values demonstrate potential suitability in discriminating between EMC and normal endometrium, EA and non-EA, grade 3 EA and grade 1/2 EA. Combining T2 and ADC values performs better in predicting the histological grades of EA in comparison with ADC values alone. |
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issn | 2234-943X |
language | English |
last_indexed | 2024-03-12T21:43:06Z |
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series | Frontiers in Oncology |
spelling | doaj.art-2878d1fa2d744e8889bb32c8603581f52023-07-26T14:16:52ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-07-011310.3389/fonc.2023.11171481117148Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinomaZanxia Zhang0Jie Liu1Weijian Wang2Yong Zhang3Feifei Qu4Tom Hilbert5Tom Hilbert6Tom Hilbert7Tobias Kober8Tobias Kober9Tobias Kober10Jingliang Cheng11Shujian Li12Jinxia Zhu13Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaMagnetic Resonance Collaboration, Siemens Healthcare Ltd., Beijing, ChinaAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, SwitzerlandSignal Processing Lab 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, SwitzerlandSignal Processing Lab 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandDepartment of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, SwitzerlandDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaMagnetic Resonance Collaboration, Siemens Healthcare Ltd., Beijing, ChinaObjectiveThe application value of T2 mapping in evaluating endometrial carcinoma (EMC) features remains unclear. The aim of the study was to determine the quantitative T2 values in EMC using a novel accelerated T2 mapping, and evaluate them for detection, classification,and grading of EMC.Materials and methodsFifty-six patients with pathologically confirmed EMC and 17 healthy volunteers were prospectively enrolled in this study. All participants underwent pelvic magnetic resonance imaging, including DWI and accelerated T2 mapping, before treatment. The T2 and apparent diffusion coefficient (ADC) values of different pathologic EMC features were extracted and compared. Receiver operating characteristic (ROC) curve analysis was performed to analyze the diagnostic efficacy of the T2 and ADC values in distinguishing different pathological features of EMC.ResultsThe T2 values and ADC values were significantly lower in EMC than in normal endometrium (bothl p < 0.05). The T2 and ADC values were significantly different between endometrioid adenocarcinoma (EA) and non-EA (both p < 0.05) and EMC tumor grades (all p < 0.05) but not for EMC clinical types (both p > 0.05) and depth of myometrial invasion (both p > 0.05). The area under the ROC curve (AUC) was higher for T2 values than for ADC values in predicting grade 3 EA (0.939 vs. 0.764, p = 0.048). When combined T2 and ADC values, the AUC for predicting grade 3 EA showed a significant increase to 0.947 (p = 0.03) compared with those of ADC values. The T2 and ADC values were negatively correlated with the tumor grades (r = -0.706 and r = -0.537, respectively).ConclusionQuantitative T2 values demonstrate potential suitability in discriminating between EMC and normal endometrium, EA and non-EA, grade 3 EA and grade 1/2 EA. Combining T2 and ADC values performs better in predicting the histological grades of EA in comparison with ADC values alone.https://www.frontiersin.org/articles/10.3389/fonc.2023.1117148/fullendometrial cancerT2 mappingmagnetic resonance imagingdiffusion weightedapparent diffusion coefficient |
spellingShingle | Zanxia Zhang Jie Liu Weijian Wang Yong Zhang Feifei Qu Tom Hilbert Tom Hilbert Tom Hilbert Tobias Kober Tobias Kober Tobias Kober Jingliang Cheng Shujian Li Jinxia Zhu Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma Frontiers in Oncology endometrial cancer T2 mapping magnetic resonance imaging diffusion weighted apparent diffusion coefficient |
title | Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma |
title_full | Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma |
title_fullStr | Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma |
title_full_unstemmed | Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma |
title_short | Feasibility of accelerated T2 mapping for the preoperative assessment of endometrial carcinoma |
title_sort | feasibility of accelerated t2 mapping for the preoperative assessment of endometrial carcinoma |
topic | endometrial cancer T2 mapping magnetic resonance imaging diffusion weighted apparent diffusion coefficient |
url | https://www.frontiersin.org/articles/10.3389/fonc.2023.1117148/full |
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