Fibroblastic and Myofibroblastic Soft-Tissue Tumors: Imaging Spectrum and Radiologic-Pathologic Correlation.

Radiographics

From the Department of Radiology, Division of Musculoskeletal Imaging and Intervention (S.H., A.P., F.S.Z., M.C.), Department of Radiology, Division of Abdominal Imaging (B.M., D.C., A.A.), and Department of Laboratory Medicine and Pathology (B.M.), University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105; Cancer Immunology Project, Universal Scientific Education and Research Network, Philadelphia, Pa (N.K.); and Department of Radiologic Pathology, Armed Forces Institute of Pathology, Walter Reed Army Medical Center, Washington, DC (M.M.).

Published: August 2023

Fibroblastic and myofibroblastic tumors are a variable group of neoplasms ranging from benign to malignant. These lesions may affect patients of any age group but are more frequently encountered in the pediatric population. Patient clinical presentation depends on the location, growth pattern, adjacent soft-tissue involvement, and pathologic behavior of these neoplasms. In the 2020 update to the World Health Organization (WHO) classification system, these tumors are classified on the basis of their distinct biologic behavior, histomorphologic characteristics, and molecular profiles into four tumor categories: benign (eg, fibrous hamartoma of infancy, nodular fasciitis, proliferative fasciitis, fibroma of the tendon sheath, calcifying aponeurotic fibroma); intermediate, locally aggressive (eg, desmoid fibromatosis); intermediate, rarely metastasizing (eg, dermatofibrosarcoma protuberans, myxoinflammatory fibroblastic sarcoma, low-grade myofibroblastic sarcoma, infantile fibrosarcoma); and malignant (eg, sclerosing epithelioid fibrosarcomas; low-grade fibromyxoid sarcoma; myxofibrosarcoma; fibrosarcoma, not otherwise specified). Detection of various components of solid tumors at imaging can help in prediction of the presence of corresponding histopathologic variations, thus influencing diagnosis, prognosis, and treatment planning. For example, lesions with a greater myxoid matrix or necrotic components tend to show higher signal intensity on T2-weighted MR images, whereas lesions with hypercellularity and dense internal collagen content display low signal intensity. In addition, understanding the radiologic-pathologic correlation of soft-tissue tumors can help to increase the accuracy of percutaneous biopsy and allow unnecessary interventions to be avoided. RSNA, 2023 Quiz questions for this article are available in the supplemental material.

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http://dx.doi.org/10.1148/rg.230005DOI Listing

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