Utility of diffusion-weighted imaging in association with pathologic upgrading in biopsy-proven grade I endometrial cancer.

J Magn Reson Imaging

Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Published: January 2020

AI Article Synopsis

  • The study examines the importance of predicting pathologic upgrading in young patients with grade I endometrial cancer to identify suitable candidates for fertility-preserving hormonal treatments.
  • It analyzes the effectiveness of diffusion-weighted imaging (DWI) in assessing tumor characteristics, focusing on tumor size and apparent diffusion coefficient (ADC) values in a cohort of 221 patients.
  • Results indicate that larger tumors and lower ADC values are associated with pathologic upgrading, suggesting that these imaging metrics can help in treatment planning and patient management.

Article Abstract

Background: Prediction of pathologic upgrading is clinically meaningful to identify the optimal candidate of fertility-preserving hormonal treatment in the young patients with biopsy-proven grade I endometrial cancer.

Purpose: To investigate the utility of diffusion-weighted imaging (DWI) in association with pathologic upgrading in endometrial cancer.

Study Type: Retrospective.

Subjects: Preoperative MRI datasets of 221 patients with grade I endometrial cancer on endometrial biopsy (n = 146), dilatation and curettage (n = 66), or either (n = 9).

Field Strength/sequence: 3.0T, including T -weighted imaging, DWI with a b-value of 1000 s/mm , and dynamic contrast enhanced imaging.

Assessment: The tumor size was determined as the longest diameter of the lesion. The minimum apparent diffusion coefficient (ADC ) was calculated using histogram analysis of the entire tumor.

Statistical Tests: Mann-Whitney U-test, Pearson's chi-square test, Fisher's exact test, intraclass correlation coefficient (ICC) analysis, receiver operating characteristic (ROC) curve analysis, univariate and multivariate logistic regression analysis.

Results: Pathologic upgrading was identified in 42 patients (19.0%). Patients with pathologic upgrading had larger tumors and showed lower ADC values than those without pathologic upgrading (both P < 0.001). The area under the ROC curve of ADC and tumor size was 0.812 and 0.758, respectively. On multivariate analysis, tumor ADC ≤0.600 × 10 mm /s (odds ratio [OR], 11.8; P < 0.001) and tumor size on MRI >3 cm (OR, 3.24; P = 0.009) were independently associated with pathologic upgrading. Upgrading occurred in 23 of 31 patients (74.2%) with ADC ≤0.600 × 10 mm /s and tumor size >3 cm, and in 7 of 114 patients (6.1%) with ADC >0.600 × 10 mm /s and tumor size ≤3 cm.

Data Conclusion: Tumor ADC and tumor size on MRI may be useful parameters in association with pathologic upgrading in biopsy-proven grade I endometrial cancer.

Level Of Evidence: 4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;51:117-123.

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Source
http://dx.doi.org/10.1002/jmri.26840DOI Listing

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