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Tissue Characteristics of Endometrial Carcinoma Analyzed by Quantitative Synthetic MRI and Diffusion-Weighted Imaging.
Wang, Yiang; He, Mengge; Cao, Peng; Ip, Philip P C; Lin, Chien-Yuan; Liu, Weiyin; Lee, Chia-Wei; Lee, Elaine Y P.
Affiliation
  • Wang Y; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
  • He M; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
  • Cao P; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
  • Ip PPC; Department of Pathology, The University of Hong Kong, Hong Kong SAR, China.
  • Lin CY; GE Healthcare, Taipei 104, Taiwan.
  • Liu W; GE Healthcare, Taipei 104, Taiwan.
  • Lee CW; GE Healthcare, Taipei 104, Taiwan.
  • Lee EYP; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China.
Diagnostics (Basel) ; 12(12)2022 Nov 25.
Article in En | MEDLINE | ID: mdl-36552962
ABSTRACT

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 (p = 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 (p = 0.005, p = 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Diagnostics (Basel) Year: 2022 Document type: Article Affiliation country: China