Literature DB >> 31900511

Accuracy of ultrasound in the characterization of superficial soft tissue tumors: a prospective study.

Esther H Y Hung1, James F Griffith2, Stefanie W Y Yip1, Marina Ivory1, Jeremiah C H Lee1, Alex W H Ng1, Cina S L Tong1.   

Abstract

OBJECTIVE: To prospectively evaluate the accuracy of ultrasound in defining the specific nature of superficial soft tissue masses as well as determining malignancy. MATERIALS AND
METHOD: Eight hundred twenty-three superficial soft tissue masses were prospectively evaluated with ultrasound by one of five experienced musculoskeletal radiologists. The radiologist at the time of examination provided one to three specific differential diagnoses and the perceived level of confidence with regard to each diagnosis. Clinical and ultrasound diagnoses were compared with the histological diagnosis to determine accuracy. Tumor malignancy was determined by histology or clinical/imaging follow-up.
RESULTS: Histological correlation was present for 219 (26.6%) of the 823 masses. Compared with histology, the accuracy of clinical and ultrasound examination for determining specific tumor type was 25.6% and 81.2% respectively considering all differential diagnoses provided. Radiologists were "fully confident" with the ultrasound diagnosis in 585 (71.1%) of 823 masses overall. In this setting, when compared with histology, the diagnostic accuracy of ultrasound was 95.5%. When the radiologist was "not fully confident," accuracy was 41.3% for the first differential diagnosis and 60.9% for all differential diagnoses. Diagnostic accuracy improved with increasing radiologist experience. Sensitivity, specificity, positive predictive value, and negative predictive value of ultrasound for identifying malignant tumor were 93.3%, 97.9%, 45.2%, and 99.9% respectively.
CONCLUSIONS: One can be "fully confident" at characterizing over two-thirds of superficial soft tissue masses based on ultrasound appearances and, in this setting, diagnostic accuracy is very high. Ultrasound examination is also highly accurate at discriminating benign from malignant superficial soft tissue masses.

Entities:  

Keywords:  Accuracy; Soft tissue masses; Subcutaneous tumor; Superficial masses; Ultrasound

Year:  2020        PMID: 31900511     DOI: 10.1007/s00256-019-03365-z

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.199


  33 in total

1.  Role of color Doppler sonography in the assessment of musculoskeletal soft tissue masses.

Authors:  P Belli; M Costantini; P Mirk; G Maresca; F Priolo; P Marano
Journal:  J Ultrasound Med       Date:  2000-12       Impact factor: 2.153

Review 2.  Unplanned excision of soft-tissue sarcomas: current concepts for management and prognosis.

Authors:  Juan Pretell-Mazzini; Mark D Barton; Sheila A Conway; H Thomas Temple
Journal:  J Bone Joint Surg Am       Date:  2015-04-01       Impact factor: 5.284

3.  Cortical morphologic features of axillary lymph nodes as a predictor of metastasis in breast cancer: in vitro sonographic study.

Authors:  Deepak G Bedi; Rajesh Krishnamurthy; Savitri Krishnamurthy; Beth S Edeiken; Huong Le-Petross; Bruno D Fornage; Roland L Bassett; Kelly K Hunt
Journal:  AJR Am J Roentgenol       Date:  2008-09       Impact factor: 3.959

4.  Clinical usefulness of variable-frequency ultrasound in localized lesions of the skin.

Authors:  Ximena Wortsman; Jacobo Wortsman
Journal:  J Am Acad Dermatol       Date:  2009-12-03       Impact factor: 11.527

5.  Sonographic Differentiation Between Angiolipomas and Superficial Lipomas.

Authors:  Yoon Sang Shin; Yeo Ju Kim; In Suh Park; Young Chae Chu; Jun Ho Kim; Ha Young Lee; Kyung Hee Lee; Young Hye Kang
Journal:  J Ultrasound Med       Date:  2016-10-13       Impact factor: 2.153

6.  Accuracy of sonographic diagnosis of superficial masses.

Authors:  Jason M Wagner; Kenneth S Lee; Humberto Rosas; Mark A Kliewer
Journal:  J Ultrasound Med       Date:  2013-08       Impact factor: 2.153

7.  Color Doppler Sonography of Extradigital Glomus Tumors.

Authors:  Orlando Catalano; Fernando Alfageme Roldän; Francesco Maria Solivetti; Maria Scotto di Santolo; Marcio Bouer; Ximena Wortsman
Journal:  J Ultrasound Med       Date:  2016-12-03       Impact factor: 2.153

8.  Axillary lymph nodes suspicious for breast cancer metastasis: sampling with US-guided 14-gauge core-needle biopsy--clinical experience in 100 patients.

Authors:  Hiroyuki Abe; Robert A Schmidt; Kirti Kulkarni; Charlene A Sennett; Jeffrey S Mueller; Gillian M Newstead
Journal:  Radiology       Date:  2008-10-27       Impact factor: 11.105

9.  Cervical lymphadenopathy: sonographic differentiation between tuberculous nodes and nodal metastases from non-head and neck carcinomas.

Authors:  M Ying; A T Ahuja; R Evans; W King; C Metreweli
Journal:  J Clin Ultrasound       Date:  1998-10       Impact factor: 0.910

10.  Bilateral multifocal lower extremity localized soft tissue amyloidomas: case report with ultrasonographic characterization.

Authors:  Tanner C Clark; Bart Kimbrell; Nicole Girard; Barry G Hansford
Journal:  Skeletal Radiol       Date:  2017-09-30       Impact factor: 2.199

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  3 in total

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

Authors:  Hua Shu; Qian Ma; Ao Li; Pingping Wang; Yingqian Gao; Qiyu Yao; Yu Hu; Xinhua Ye
Journal:  Front Oncol       Date:  2022-04-29       Impact factor: 5.738

2.  The safety of primary surgical excision of small deep indeterminate musculoskeletal soft tissue masses.

Authors:  Michèle Calleja; Qasim Afzaal; Asif Saifuddin
Journal:  Br J Radiol       Date:  2020-10-30       Impact factor: 3.039

3.  Nomogram Based on Ultrasonography and Clinical Features for Predicting Malignancy in Soft Tissue Tumors.

Authors:  Mengjie Wu; Yu Hu; Anjing Ren; Xiaojing Peng; Qian Ma; Cuilian Mao; Jing Hang; Ao Li
Journal:  Cancer Manag Res       Date:  2021-03-02       Impact factor: 3.989

  3 in total

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