Multiparametric MRI radiomics improves preoperative diagnostic performance for local staging in patients with endometrial cancer

Fang, Ruqi; Lin, Na; Weng, Shuping; Liu, Kaili; Chen, Xiaping; Cao, Dairong

doi:10.1007/s00261-023-04149-9

Abdom Radiol

2024

DOI: 10.1007/s00261-023-04149-9

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Multiparametric MRI radiomics improves preoperative diagnostic performance for local staging in patients with endometrial cancer

Ruqi Fang,

Na Lin,

Shuping Weng

et al.

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2024

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Cited by 2 publications

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Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma

Wang,

Bi,

Deng

et al. 2024

Abdom Radiol

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Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma

Wang,

Bi,

Deng

et al. 2024

Abdom Radiol

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Diagnostic utility of apparent diffusion coefficient in preoperative assessment of endometrial cancer: are we ready for the 2023 FIGO staging?

Saleh,

Abdelrazek,

Hassan

et al. 2024

BMC Med Imaging

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Background Although endometrial cancer (EC) is staged surgically, magnetic resonance imaging (MRI) plays a critical role in assessing and selecting the most appropriate treatment planning. We aimed to assess the diagnostic performance of quantitative analysis of diffusion-weighted imaging (DWI) in preoperative assessment of EC. Methods Prospective analysis was done for sixty-eight patients with pathology-proven endometrial cancer who underwent MRI and DWI. Apparent diffusion coefficient (ADC) values were measured by two independent radiologists and compared with the postoperative pathological results. Results There was excellent inter-observer reliability in measuring ADCmean values. There were statistically significant lower ADCmean values in patients with deep myometrial invasion (MI), cervical stromal invasion (CSI), type II EC, and lympho-vascular space involvement (LVSI) (AUC = 0.717, 0.816, 0.999, and 0.735 respectively) with optimal cut-off values of ≤ 0.84, ≤ 0.84, ≤ 0.78 and ≤ 0.82 mm2/s respectively. Also, there was a statistically significant negative correlation between ADC values and the updated 2023 FIGO stage and tumor grade (strong association), and the 2009 FIGO stage (medium association). Conclusions The preoperative ADCmean values of EC were significantly correlated with main prognostic factors including depth of MI, CSI, EC type, grade, nodal involvement, and LVSI.

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Multiparametric MRI radiomics improves preoperative diagnostic performance for local staging in patients with endometrial cancer

Cited by 2 publications

References 29 publications

Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma

Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma

Diagnostic utility of apparent diffusion coefficient in preoperative assessment of endometrial cancer: are we ready for the 2023 FIGO staging?

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