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연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측

PURPOSE: To determine the value of 3 Tesla (T) MRI texture analysis for predicting tumor margin infiltration in soft tissue sarcomas. 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. Margi...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238208/
https://www.ncbi.nlm.nih.gov/pubmed/36237350
http://dx.doi.org/10.3348/jksr.2021.0037
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description PURPOSE: To determine the value of 3 Tesla (T) MRI texture analysis for predicting tumor margin infiltration in soft tissue sarcomas. 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(2), and apparent diffusion coefficient (ADC) was mapped. Quantitative parameters were compared between sarcomas with infiltrative margins and those with circumscribed margins. 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). CONCLUSION: MR texture analysis is reliable and accurate for the prediction of infiltrative margins of soft tissue sarcomas.
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spelling pubmed-92382082022-10-12 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측 Taehan Yongsang Uihakhoe Chi Musculoskeletal Imaging PURPOSE: To determine the value of 3 Tesla (T) MRI texture analysis for predicting tumor margin infiltration in soft tissue sarcomas. 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(2), and apparent diffusion coefficient (ADC) was mapped. Quantitative parameters were compared between sarcomas with infiltrative margins and those with circumscribed margins. 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). CONCLUSION: MR texture analysis is reliable and accurate for the prediction of infiltrative margins of soft tissue sarcomas. The Korean Society of Radiology 2022-01 2021-09-16 /pmc/articles/PMC9238208/ /pubmed/36237350 http://dx.doi.org/10.3348/jksr.2021.0037 Text en Copyrights © 2022 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Musculoskeletal Imaging
연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title_full 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title_fullStr 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title_full_unstemmed 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title_short 연조직 육종의 종양 가장자리 침윤: 3T 자기공명영상 텍스처 분석을 통한 예측
title_sort 연조직 육종의 종양 가장자리 침윤: 3t 자기공명영상 텍스처 분석을 통한 예측
topic Musculoskeletal Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238208/
https://www.ncbi.nlm.nih.gov/pubmed/36237350
http://dx.doi.org/10.3348/jksr.2021.0037
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