Literature DB >> 11997546

Differentiation of malignant and benign musculoskeletal tumors: combined color and power Doppler US and spectral wave analysis.

Gerd Bodner1, Michael F H Schocke, Franz Rachbauer, Klaus Seppi, Siegfried Peer, Anke Fierlinger, Tarek Sununu, Werner R Jaschke.   

Abstract

PURPOSE: To assess the use of combined color Doppler ultrasonography (US), power Doppler US, and spectral wave analysis (SWA) in differentiating malignant and benign musculoskeletal tumors.
MATERIALS AND METHODS: Seventy-nine musculoskeletal tumors (34 malignant, 45 benign) were examined with color and power Doppler US and SWA. Two radiologists independently assessed US images and SWA findings. Echotexture and vessel characteristics such as stenoses, occlusions, loops, shunts, trifurcations, vascular pattern, and resistive index were evaluated. All tumors were subject to US-guided or open biopsy for histologic correlation.
RESULTS: Combined color and power Doppler US and SWA revealed four major (stenosis, occlusion, trifurcation, vascular pattern) and three minor (shunt, self loop, resistive index) vessel characteristics, which proved helpful in differentiating benign from malignant lesions. Echotexture showed moderate sensitivity (82% [28 of 34 tumors]) and low specificity (38% [17 of 45 tumors]). When comparing several combinations of vessel characteristics, a combination of any two major characteristics demonstrated the best results (sensitivity, 94% [33 of 39 tumors]; specificity, 93% [three of 45 tumors]). Combining more than two characteristics resulted in lower sensitivity.
CONCLUSION: Combined color and power Doppler US and SWA may enable assessment of vascular architecture and altered flow of musculoskeletal tumors. Vascular architecture analysis enables differentiation of benign and malignant lesions and evaluation of musculoskeletal tumors. Copyright RSNA, 2002

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Year:  2002        PMID: 11997546     DOI: 10.1148/radiol.2232010406

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  22 in total

1.  Differential diagnosis between benign and malignant soft tissue tumors utilizing ultrasound parameters.

Authors:  Takeshi Morii; Tomonori Kishino; Naoko Shimamori; Mitsue Motohashi; Hiroaki Ohnishi; Keita Honya; Takayuki Aoyagi; Takashi Tajima; Shoichi Ichimura
Journal:  J Med Ultrason (2001)       Date:  2017-06-20       Impact factor: 1.314

Review 2.  High-resolution ultrasound of peripheral neurogenic tumors.

Authors:  Hannes Gruber; Bernhard Glodny; Nadine Bendix; Alexandar Tzankov; Siegfried Peer
Journal:  Eur Radiol       Date:  2007-04-20       Impact factor: 5.315

3.  Contrast-enhanced ultrasound findings in soft-tissue lesions: preliminary results.

Authors:  R Stramare; M Gazzola; A Coran; M Sommavilla; V Beltrame; M Gerardi; G Scattolin; A Faccinetto; M Rastrelli; E Grisan; M C Montesco; C R Rossi; L Rubaltelli
Journal:  J Ultrasound       Date:  2013-02-23

Review 4.  Imaging and diagnostic strategy of soft tissue tumors in children.

Authors:  Hervé Brisse; Daniel Orbach; Jerzy Klijanienko; Paul Fréneaux; Sylvia Neuenschwander
Journal:  Eur Radiol       Date:  2006-01-13       Impact factor: 5.315

Review 5.  Value of ultrasonographic evaluation for soft-tissue lesions: focus on incidentally detected lesions on CT/MRI.

Authors:  Sung Bin Park; Byeong Seong Kang
Journal:  Jpn J Radiol       Date:  2017-06-12       Impact factor: 2.374

Review 6.  Ultrasound evaluation of superficial lumps and bumps of the extremities in children: a 5-year retrospective review.

Authors:  Samir H Shah; Michael J Callahan
Journal:  Pediatr Radiol       Date:  2013-03-12

Review 7.  Soft tissue tumours: imaging strategy.

Authors:  Hervé J Brisse; Daniel Orbach; Jerzy Klijanienko
Journal:  Pediatr Radiol       Date:  2010-04-30

Review 8.  Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques.

Authors:  Laura M Fayad; Michael A Jacobs; Xin Wang; John A Carrino; David A Bluemke
Journal:  Radiology       Date:  2012-11       Impact factor: 11.105

9.  p16 INK4 and CEA can be mutually exchanged with confidence between both relevant three-marker panels (ER/Vim/CEA and ER/Vim/p16 INK4) in distinguishing primary endometrial adenocarcinomas from endocervical adenocarcinomas in a tissue microarray study.

Authors:  Chih-Ping Han; Ming-Yung Lee; Yeu-Sheng Tyan; Lai-Fong Kok; Chung-Chin Yao; Po-Hui Wang; Jeng-Dong Hsu; Szu-Wen Tseng
Journal:  Virchows Arch       Date:  2009-09-09       Impact factor: 4.064

Review 10.  State-of-the-art HR-US imaging findings of the most frequent musculoskeletal soft-tissue tumors.

Authors:  Gerlig Widmann; Andreas Riedl; Daniel Schoepf; Bernhard Glodny; Siegfried Peer; Hannes Gruber
Journal:  Skeletal Radiol       Date:  2008-10-10       Impact factor: 2.199

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