Diffusion-tensor imaging for differentiating uterine sarcoma from degenerative uterine fibroids
| Autor: | M. Niu, Qingwei Song, Lizhi Xie, Ailian Liu, Shi-Feng Tian |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Uterine fibroids Sensitivity and Specificity 030218 nuclear medicine & medical imaging Diagnosis Differential 03 medical and health sciences 0302 clinical medicine Fractional anisotropy medicine Effective diffusion coefficient Humans Radiology Nuclear Medicine and imaging Aged Retrospective Studies Receiver operating characteristic Uterine sarcoma Leiomyoma business.industry Sarcoma General Medicine Middle Aged medicine.disease Diffusion Tensor Imaging 030220 oncology & carcinogenesis Area Under Curve Uterine Neoplasms Female business Nuclear medicine Diffusion MRI |
| Zdroj: | Clinical radiology. 76(4) |
| ISSN: | 1365-229X |
| Popis: | AIM To explore the applicability of diffusion-tensor imaging (DTI) sequence quantitative parameters in differentiating uterine sarcoma (USr) from degenerative uterine fibroids (DUF). MATERIALS AND METHODS Fourteen cases of USr and 30 cases of DUF were analysed retrospectively. The diffusion-weighted imaging (DWI) and DTI images were analysed by two observers using Functool software on a ADW4.6 workstation. The images were post-processed to generate an apparent diffusion coefficient (ADC) map of DWI, ADC map of DTI (ADCT map), and fractional anisotropy (FA) map. Three regions of interest (ROI) were selected from the ADC, ADCT, and FA maps to obtain the ADC, ADCT, and FA values. The receiver operating characteristic (ROC) curves of all parameters were used to analyse and compare the diagnostic value of USr and DUF. RESULTS The ADC value, ADCT value, and FA value of USr (1.190 ± 0.262 × 10−3mm2/s, 1.165 ± 0.270 × 10−9mm2/s, 0.168 ± 0.063) were significantly lower compared to the values for DUF (1.525 ± 0.314 × 10−3mm2/s, 1.650 ± 0.332 × 10−9mm2/s, 0.254 ± 0.111; all p CONCLUSIONS DTI quantitative parameters can be used to differentiate USr from DUF. The ADCT value had the highest diagnostic efficacy. |
| Databáze: | OpenAIRE |
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