Retrospective Assessment of Histogram-Based Diffusion Metrics for Differentiating Benign and Malignant Endometrial Lesions
| Autor: | Ankur M. Doshi, Dorota Popiolek, Andrew B. Rosenkrantz, Diane Dunst, Andrea S. Kierans, Stephanie V. Blank |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Percentile medicine.medical_specialty Malignancy Sensitivity and Specificity 030218 nuclear medicine & medical imaging Diagnosis Differential 03 medical and health sciences 0302 clinical medicine Image Interpretation Computer-Assisted medicine Humans Effective diffusion coefficient Radiology Nuclear Medicine and imaging Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Area under the curve Reproducibility of Results Magnetic resonance imaging Retrospective cohort study Middle Aged Image Enhancement medicine.disease Endometrial Neoplasms body regions Diffusion Magnetic Resonance Imaging Data Interpretation Statistical 030220 oncology & carcinogenesis Kurtosis Female Radiology Differential diagnosis business |
| Zdroj: | Journal of Computer Assisted Tomography. 40:723-729 |
| ISSN: | 0363-8715 |
| DOI: | 10.1097/rct.0000000000000430 |
| Popis: | OBJECTIVE Our study aimed to retrospectively evaluate the utility of volumetric histogram-based diffusion metrics in differentiating benign from malignant endometrial abnormalities. METHODS A total of 54 patients underwent pelvic magnetic resonance imaging with diffusion-weighted imaging before endometrial tissue diagnosis. Two radiologists placed volumes of interest on the apparent diffusion coefficient (ADC) map encompassing the entire endometrium and focal endometrial lesions. The mean ADC, percentile ADC values, kurtosis, skewness, and entropy of ADC were compared between benign and malignant abnormalities. RESULTS In premenopausal patients, significant independent predictors of malignancy were whole-endometrium analysis for R1, 10th to 25th ADC percentile (P = 0.012); whole-endometrium analysis for R2, mean ADC (P = 0.001) and skewness (P = 0.004); focal lesion analysis for R1, skewness (P = 0.045); focal lesion analysis for R2, 10th to 25th ADC percentile (P ≤ 0.0001). The area under the curve for malignancy was 90.0% to 97.3% and 76.1% to 77.3% for the more and less experienced radiologists, respectively. In postmenopausal patients, the only significant difference was kurtosis using whole-endometrium analysis for R1 (P = 0.042). CONCLUSIONS Volumetric ADC histogram metrics may help radiologists assess the risk of malignancy in endometrial abnormalities on magnetic resonance imaging in premenopausal patients. |
| Databáze: | OpenAIRE |
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