Literature DB >> 11553822

MR imaging of soft-tissue masses of the extraperitoneal spaces.

H Nishimura1, Y Zhang, K Ohkuma, M Uchida, N Hayabuchi, S Sun.   

Abstract

Magnetic resonance (MR) imaging has an increasing role in evaluating soft-tissue masses of the extraperitoneal spaces. Since the MR imaging features of most soft-tissue masses are nonspecific, prediction of a specific histologic diagnosis remains a challenge for the radiologist. However, there are certain specific MR imaging appearances that are helpful for more accurate diagnosis. Some histologic components, such as myxoid stroma, collagen fibers, calcification, and fat, have characteristic MR imaging features. Recognition of these features can assist the radiologist in limiting the differential diagnosis. Dynamic enhancement patterns can reflect the vascularity of masses and may be useful in diagnosis, especially in differentiating benign from malignant soft-tissue masses. Familiarity with specific signs and knowledge of diagnostic pitfalls are also important for shortening the list of differential diagnoses. Specific signs are the target sign, the bowl of fruit sign, a whorled appearance, a flow void, speckled enhancement, associated lymphadenopathy, and extension into the intervertebral foramen. Diagnostic pitfalls are as follows: a myxoid stroma simulating cystic degeneration and necrosis, collagen fibers simulating hemorrhage, a fat component simulating extraperitoneal fat, extensive intratumoral hemorrhage simulating hematoma, benign masses mimicking malignant ones, malignant masses mimicking benign ones, and peritoneal lesions mimicking extraperitoneal masses.

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Year:  2001        PMID: 11553822     DOI: 10.1148/radiographics.21.5.g01se141141

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  11 in total

Review 1.  [Benign mesenchymal tumors of the abdomen].

Authors:  P A Kupczyk; G M Kukuk
Journal:  Radiologe       Date:  2018-01       Impact factor: 0.635

2.  Retroperitoneal fibrosis as a cause of positive FDG PET/CT.

Authors:  Amar Mehta; Todd M Blodgett
Journal:  J Radiol Case Rep       Date:  2011-07-01

3.  Myxofibrosarcoma: prevalence and diagnostic value of the "tail sign" on magnetic resonance imaging.

Authors:  Robert A Lefkowitz; Jonathan Landa; Sinchun Hwang; Emily C Zabor; Chaya S Moskowitz; Narasimhan P Agaram; David M Panicek
Journal:  Skeletal Radiol       Date:  2013-01-15       Impact factor: 2.199

4.  Benign fibrous hamartoma of infancy: a case of MR imaging paralleling histologic findings.

Authors:  J D Stensby; M R Conces; N C Nacey
Journal:  Skeletal Radiol       Date:  2014-06-27       Impact factor: 2.199

5.  Gastric wall implantation metastasis of retroperitoneal extraskeletal osteosarcoma: A case report and review of the literature.

Authors:  Yan Liu; Bin Hu; Jing-Xia Li; Lu-Qi Xing; Bao-Ping Liu
Journal:  Oncol Lett       Date:  2014-10-10       Impact factor: 2.967

6.  Retroperitoneal inflammatory myofibroblastic tumor: A case report.

Authors:  Oliveira Carlos; Costa Rui; Estêvão Amélia; Caseiro-Alves Filipe
Journal:  Eur J Radiol Open       Date:  2017-02-27

7.  Magnetic resonance imaging findings of a myxoid leiomyosarcoma of the uterus: A case report and literature review.

Authors:  Takayoshi Shinya; Kentaro Shibamoto; Kiyoka Maeba; Katsuya Kato; Yasumasa Monobe; Michihisa Fujiwara; Atsushi Hongo
Journal:  Eur J Radiol Open       Date:  2021-02-03

8.  Symplastic leiomyoma in the suprarenal inferior vena cava.

Authors:  Volkan Kahveci; Torel Ogur; Gokhan Cipe; Sevim Ozdemir; Selcuk Hazinedaroglu
Journal:  Iran J Radiol       Date:  2012-12-27       Impact factor: 0.212

9.  Gigantic retroperitoneal hematoma as a complication of anticoagulation therapy with heparin in therapeutic doses: a case report.

Authors:  Stavros I Daliakopoulos; Andreas Bairaktaris; Dimitrios Papadimitriou; Perikles Pappas
Journal:  J Med Case Rep       Date:  2008-05-17

10.  Quantification of Human Central Adipose Tissue Depots: An Anatomically Matched Comparison Between DXA and MRI.

Authors:  Christopher D Crabtree; Richard A LaFountain; Parker N Hyde; Chong Chen; Yue Pan; Nathan Lamba; Teryn N Sapper; Jay A Short; Madison L Kackley; Alex Buga; Vincent J Miller; Debbie Scandling; Irma Andersson; Samantha Barker; Houchun H Hu; Jeff S Volek; Orlando P Simonetti
Journal:  Tomography       Date:  2019-12
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