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[Tumor Margin Infiltration in Soft Tissue Sarcomas: Prediction Using 3T MRI Texture Analysis].
- Source :
-
Taehan Yongsang Uihakhoe chi [Taehan Yongsang Uihakhoe Chi] 2022 Jan; Vol. 83 (1), pp. 112-126. Date of Electronic Publication: 2021 Sep 16. - Publication Year :
- 2022
-
Abstract
- Purpose: To determine the value of 3 Tesla (T) MRI texture analysis for predicting tumor margin infiltration in soft tissue sarcomas.<br />Materials and Methods: Thirty-one patients who underwent 3T MRI and had a pathologically confirmed diagnosis of soft tissue sarcoma were included in this study. Margin infiltration on pathology was used as the gold standard. Texture analysis of soft tissue sarcomas was performed on axial T1-weighted images (WI) and T2WI, fat-suppressed contrast-enhanced (CE) T1WI, diffusion-weighted images (DWI) with b-value of 800 s/mm <superscript>2</superscript> , and apparent diffusion coefficient (ADC) was mapped. Quantitative parameters were compared between sarcomas with infiltrative margins and those with circumscribed margins.<br />Results: Among the 31 patients with soft tissue sarcomas, 23 showed tumor margin infiltration on pathology. There were significant differences in kurtosis with the spatial scaling factor (SSF) of 0 and 6 on T1WI, kurtosis (SSF, 0) on CE-T1WI, skewness (SSF, 0) on DWI, and skewness (SSF, 2, 4) on ADC between sarcomas with infiltrative margins and those with circumscribed margins ( p ≤ 0.046). The area under the receiver operating characteristic curve based on MR texture features for identification of infiltrative tumor margins was 0.951 ( p < 0.001).<br />Conclusion: MR texture analysis is reliable and accurate for the prediction of infiltrative margins of soft tissue sarcomas.<br />Competing Interests: Conflicts of Interest: The authors have no potential conflicts of interest to disclose.<br /> (Copyrights © 2022 The Korean Society of Radiology.)
Details
- Language :
- Korean
- ISSN :
- 2288-2928
- Volume :
- 83
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Taehan Yongsang Uihakhoe chi
- Publication Type :
- Academic Journal
- Accession number :
- 36237350
- Full Text :
- https://doi.org/10.3348/jksr.2021.0037