Affiliation:
1. Department of Medical Imaging The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital Zhengzhou Henan China
2. Department of Radiology The First Affiliated Hospital of Fujian Medical University Fuzhou Fujian China
3. Department of Radiology Heze Municipal Hospital Heze Shandong China
4. Department of Medical Imaging Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Academy of Medical Sciences, Zhengzhou University Zhengzhou Henan China
5. Department of Pathology The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital Zhengzhou Henan China
6. Department of Bone and Soft Tissue The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital Zhengzhou Henan China
7. National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
Abstract
BackgroundAlveolar Soft Part Sarcoma (ASPS) is a rare, aggressive cancer whose diagnosis and treatment depend on histological grading. However, tumor variability can lead to underestimation, affecting treatment, and patient survival.ObjectiveTo evaluate MRI features associated with Grade III ASPS and to determine the relationship between MRI features and patient prognosis.Study TypeRetrospective analysis.SubjectsSixty‐seven patients with ASPS were included with 37 males and 30 females (M/F = 1.23) follow‐up and survival analysis on 50 patients.Field Strength/SequenceA 3.0 T, T1WI‐FSE, T2WI‐FSE, DWI‐EPI, DCE‐MRI (gradient echo).AssessmentMRI features (margin, peritumoral oedema, peritumoral enhancement, necrosis, vascular flow void signal, heterogeneous signal intensity [SI] at T1WI and T2WI, ADCmean, time‐intensity curve [TIC] type, distant metastasis, and bone invasion) and histological grading were independently evaluated by three radiologists and two pathologists, with Grade III considered high‐grade.Statistical TestsThe chi‐square or Fisher's exact test was used to assess the correlation between MRI features and histological grading. Multivariable binary logistic regression identified independent factors associated with high‐grade tumors. The Kaplan–Meier method and Cox proportional hazards model were used to calculate hazard ratios for MRI features.ResultsTumor necrosis, heterogeneous SI at T2WI ≥50%, and ADCmean were associated with high‐grade ASPS. Tumor necrosis was an independent factors associated with local relapse‐free survival (odds ratio [OR], 3.88). TIC type was associated with 5‐year survival rate (OR, 2.80) and local relapse‐free survival (OR, 2.69). Heterogeneous SI at T2WI ≥50% was associated with 5‐year survival (OR, 4.00), local relapse‐free survival (OR, 5.58), and local relapse‐free survival (OR, 4.84).Data ConclusionMRI features including tumor necrosis, heterogeneity of SI at T2WI, ADCmean, and TIC type aid in assessing ASPS grading and prognosis.Evidence Level4Technical EfficacyStage 5