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 T2-weighted imaging, DWI with a b-value of 1000 s/mm2, and dynamic contrast enhanced imaging. Assessment: The tumor size was determined as the longest diameter of the lesion. The minimum apparent diffusion coefficient (ADCmin) 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 ADCmin values than those without pathologic upgrading (both P < 0.001). The area under the ROC curve of ADCmin and tumor size was 0.812 and 0.758, respectively. On multivariate analysis, tumor ADCmin ≤0.600 × 10-3 mm2/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 ADCmin ≤0.600 × 10-3 mm2/s and tumor size >3 cm, and in 7 of 114 patients (6.1%) with ADCmin >0.600 × 10-3 mm2/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.
| Original language | English |
|---|---|
| Pages (from-to) | 117-123 |
| Number of pages | 7 |
| Journal | Journal of Magnetic Resonance Imaging |
| Volume | 51 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- diffusion weighted MRI
- endometrial cancer
- magnetic resonance imaging
- neoplasm grading
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