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      Diagnostic Performance of US and MRI in Predicting Malignancy of Soft Tissue Masses: Using a Scoring System

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          Abstract

          Objective

          To assess the diagnostic performance of US and MRI in predicting malignancy of soft tissue masses by using a scoring system.

          Methods

          A total of 120 cases of pathologically confirmed soft tissue masses (71 cases of malignant lesions and 49 cases of benign lesions) were enrolled. All patients underwent ultrasound and MRI examination prior to biopsy or surgical excision. A scoring system based on the parameters of conventional US and MRI to distinguish malignant and benign masses was established by the regression model. The receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of US and MRI.

          Results

          Multivariate analysis showed that margin, maximum diameter, and vascular density were independent predictors for malignancy found by US, while maximum diameter, margin, and affected peripheral soft tissue were independent predictors for malignancy found by MRI. The mean scores of the benign and malignant groups were 2.8 ± 1.6, 5.1 ± 1.1 on US and 1.3 ± 1.2, 3.5 ± 0.9 on MRI. Based on the cut-off score of 3.5 and 2.5 calculated by ROC analysis, US and MRI had 92% and 87% sensitivity, 72% and 76% specificity, 86% and 89% accuracy, respectively. The combination of these two modalities achieved the sensitivity of 91%, specificity of 82%, and accuracy of 93%.

          Conclusions

          Both US and MRI can provide valuable information about the differential diagnosis between benign and malignant soft tissue masses. The combination of the two imaging-based scoring systems can increase the diagnostic performance, especially in specificity.

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          Soft‐tissue sarcoma in adults: An update on the current state of histiotype‐specific management in an era of personalized medicine

          Adriana C. Gamboa, Alessandro Gronchi, Kenneth Cardona (2020)
          Article 0 comments Cited 153 times – based on 0 reviews     Review now
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            Development and external validation of two nomograms to predict overall survival and occurrence of distant metastases in adults after surgical resection of localised soft-tissue sarcomas of the extremities: a retrospective analysis.

            Dario Callegaro, Paolo Casali, Raphael E. Pollock … (2016)
            The current American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) staging system does not have sufficient details to encompass the variety of soft-tissue sarcomas, and available prognostic methods need refinement. We aimed to develop and externally validate two prediction nomograms for overall survival and distant metastases in patients with soft-tissue sarcoma in their extremities.
            Article 0 comments Cited 142 times – based on 0 reviews     Review now
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              Prognostic Factors for the Outcome of Chemotherapy in Advanced Soft Tissue Sarcoma: An Analysis of 2,185 Patients Treated With Anthracycline-Containing First-Line Regimens—A European Organization for Research and Treatment of Cancer Soft Tissue and Bone Sarcoma Group Study

              T Tursz, M. Van Glabbeke, A.T. van Oosterom … (1999)
              Article 0 comments Cited 50 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Journal
                Journal ID (nlm-ta): Front Oncol
                Journal ID (iso-abbrev): Front Oncol
                Journal ID (publisher-id): Front. Oncol.
                Title: Frontiers in Oncology
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2234-943X
                Publication date (Electronic): 29 April 2022
                Publication date Collection: 2022
                Volume: 12
                Electronic Location Identifier: 853232
                Affiliations
                [1] 1 Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University , Nanjing, China
                [2] 2 Department of Ultrasound, Affiliated Zhongda Hospital of Southeast University , Nanjing, China
                Author notes

                Edited by: Pietro Valerio Foti, University of Catania, Italy

                Reviewed by: Renato Farina, University of Catania, Italy; Nguyen Minh Duc, Pham Ngoc Thach University of Medicine, Vietnam

                *Correspondence: Xinhua Ye, yexh-0125@ 123456163.com ; Yu Hu, helenhuyu@ 123456163.com

                †These authors have contributed equally to this work and share first authorship

                ‡These authors have contributed equally to this work

                This article was submitted to Cancer Imaging and Image-directed Interventions, a section of the journal Frontiers in Oncology

                Article
                DOI: 10.3389/fonc.2022.853232
                PMC ID: 9104333
                PubMed ID: 35574339
                SO-VID: 161a5f82-5508-41a6-89c6-6737be0b4f31
                Copyright © Copyright © 2022 Shu, Ma, Li, Wang, Gao, Yao, Hu and Ye
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 12 January 2022
                Date accepted : 30 March 2022
                Page count
                Figures: 6, Tables: 3, Equations: 0, References: 41, Pages: 10, Words: 4051
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Categories
                Subject: Oncology
                Subject: Original Research

                ScienceOpen disciplines: Oncology & Radiotherapy
                Keywords: soft tissue mass,ultrasonography,magnetic resonance imaging,neoplasm,diagnosis
                Data availability:
                ScienceOpen disciplines: Oncology & Radiotherapy
                Keywords: soft tissue mass, ultrasonography, magnetic resonance imaging, neoplasm, diagnosis

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