Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging

Background: This study investigates the association of T1, T2, proton density (PD) and the apparent diffusion coefficient (ADC) with histopathologic features of endometrial carcinoma (EC). Methods: One hundred and nine EC patients were prospectively enrolled from August 2019 to December 2020. Synthe...

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Main Authors: Yiang Wang, Mengge He, Peng Cao, Philip P. C. Ip, Chien-Yuan Lin, Weiyin Liu, Chia-Wei Lee, Elaine Y. P. Lee
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/12/12/2956
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author Yiang Wang
Mengge He
Peng Cao
Philip P. C. Ip
Chien-Yuan Lin
Weiyin Liu
Chia-Wei Lee
Elaine Y. P. Lee
author_facet Yiang Wang
Mengge He
Peng Cao
Philip P. C. Ip
Chien-Yuan Lin
Weiyin Liu
Chia-Wei Lee
Elaine Y. P. Lee
author_sort Yiang Wang
collection DOAJ
description Background: This study investigates the association of T1, T2, proton density (PD) and the apparent diffusion coefficient (ADC) with histopathologic features of endometrial carcinoma (EC). Methods: One hundred and nine EC patients were prospectively enrolled from August 2019 to December 2020. Synthetic magnetic resonance imaging (MRI) was acquired through one acquisition, in addition to diffusion-weighted imaging (DWI) and other conventional sequences using 1.5T MRI. T1, T2, PD derived from synthetic MRI and ADC derived from DWI were compared among different histopathologic features, namely the depth of myometrial invasion (MI), tumor grade, cervical stromal invasion (CSI) and lymphovascular invasion (LVSI) of EC by the Mann–Whitney U test. Classification models based on the significant MRI metrics were constructed with their respective receiver operating characteristic (ROC) curves, and their micro-averaged ROC was used to evaluate the overall performance of these significant MRI metrics in determining aggressive histopathologic features of EC. Results: EC with MI had significantly lower T2, PD and ADC than those without MI (<i>p</i> = 0.007, 0.006 and 0.043, respectively). Grade 2–3 EC and EC with LVSI had significantly lower ADC than grade 1 EC and EC without LVSI, respectively (<i>p</i> = 0.005, <i>p</i> = 0.020). There were no differences in the MRI metrics in EC with or without CSI. Micro-averaged ROC of the three models had an area under the curve of 0.83. Conclusions: Synthetic MRI provided quantitative metrics to characterize EC with one single acquisition. Low T2, PD and ADC were associated with aggressive histopathologic features of EC, offering excellent performance in determining aggressive histopathologic features of EC.
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spelling doaj.art-e90c8ef590b04efe969f967c860586772023-11-24T14:16:09ZengMDPI AGDiagnostics2075-44182022-11-011212295610.3390/diagnostics12122956Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted ImagingYiang Wang0Mengge He1Peng Cao2Philip P. C. Ip3Chien-Yuan Lin4Weiyin Liu5Chia-Wei Lee6Elaine Y. P. Lee7Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, ChinaDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, ChinaDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, ChinaDepartment of Pathology, The University of Hong Kong, Hong Kong SAR, ChinaGE Healthcare, Taipei 104, TaiwanGE Healthcare, Taipei 104, TaiwanGE Healthcare, Taipei 104, TaiwanDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, ChinaBackground: This study investigates the association of T1, T2, proton density (PD) and the apparent diffusion coefficient (ADC) with histopathologic features of endometrial carcinoma (EC). Methods: One hundred and nine EC patients were prospectively enrolled from August 2019 to December 2020. Synthetic magnetic resonance imaging (MRI) was acquired through one acquisition, in addition to diffusion-weighted imaging (DWI) and other conventional sequences using 1.5T MRI. T1, T2, PD derived from synthetic MRI and ADC derived from DWI were compared among different histopathologic features, namely the depth of myometrial invasion (MI), tumor grade, cervical stromal invasion (CSI) and lymphovascular invasion (LVSI) of EC by the Mann–Whitney U test. Classification models based on the significant MRI metrics were constructed with their respective receiver operating characteristic (ROC) curves, and their micro-averaged ROC was used to evaluate the overall performance of these significant MRI metrics in determining aggressive histopathologic features of EC. Results: EC with MI had significantly lower T2, PD and ADC than those without MI (<i>p</i> = 0.007, 0.006 and 0.043, respectively). Grade 2–3 EC and EC with LVSI had significantly lower ADC than grade 1 EC and EC without LVSI, respectively (<i>p</i> = 0.005, <i>p</i> = 0.020). There were no differences in the MRI metrics in EC with or without CSI. Micro-averaged ROC of the three models had an area under the curve of 0.83. Conclusions: Synthetic MRI provided quantitative metrics to characterize EC with one single acquisition. Low T2, PD and ADC were associated with aggressive histopathologic features of EC, offering excellent performance in determining aggressive histopathologic features of EC.https://www.mdpi.com/2075-4418/12/12/2956endometrial carcinomasynthetic magnetic resonance imagingdiffusion-weighted imaginghistopathologic features
spellingShingle Yiang Wang
Mengge He
Peng Cao
Philip P. C. Ip
Chien-Yuan Lin
Weiyin Liu
Chia-Wei Lee
Elaine Y. P. Lee
Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
Diagnostics
endometrial carcinoma
synthetic magnetic resonance imaging
diffusion-weighted imaging
histopathologic features
title Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
title_full Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
title_fullStr Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
title_full_unstemmed Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
title_short Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging
title_sort tissue characteristics of endometrial carcinoma analyzed by quantitative synthetic mri and diffusion weighted imaging
topic endometrial carcinoma
synthetic magnetic resonance imaging
diffusion-weighted imaging
histopathologic features
url https://www.mdpi.com/2075-4418/12/12/2956
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