Literature DB >> 8835961

MR prediction of benign and malignant vertebral compression fractures.

L A Moulopoulos1, K Yoshimitsu, D A Johnston, N E Leeds, H I Libshitz.   

Abstract

We reviewed spinal MR images of 58 patients with 98 compressed vertebrae. Benign (47 vertebrae) or malignant (51 vertebrae) etiology was established by biopsy or radiologic follow-up. Compressed vertebrae were analyzed for presence and characteristics of signal abnormality, altered vertebral contour, Schmorl's nodes, pedicular involvement, and contrast uptake. Statistical analysis was performed. Diffuse and homogeneous decrease in signal intensity on T1-weighted images, convex vertebral contour, involvement of the pedicles, and a lumbar location were more frequently observed in malignant fractures (P < .01). A thoracic location, lack of signal change, or a band-like abnormality and absence of pedicular involvement or contour abnormality characterized benign fractures (P < .01). Schmorl's nodes and enhancement did not help establish a diagnosis. When a constellation of MR criteria are applied, the accuracy of the diagnosis of malignant and benign vertebral compression fractures may reach 94%.

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Year:  1996        PMID: 8835961     DOI: 10.1002/jmri.1880060416

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

1.  Acute benign vertebral compression fractures: "see-through sign" on contrast-enhanced MR images.

Authors:  Eugene Lee; Joon Woo Lee; Jinyoung Lee; Guen Young Lee; Woo Young Kang; Bo Reum Yoo; Yoon Joo Shin; Joong Mo Ahn; Heung Sik Kang
Journal:  Eur Spine J       Date:  2015-11-04       Impact factor: 3.134

2.  Usefulness of SPAIR Image, Fracture Line and the Adjacent Discs Change on Magnetic Resonance Image in the Acute Osteoporotic Compression Fracture.

Authors:  Woo Hyung Choi; Sung Han Oh; Chung Jae Lee; Jong Kook Rhim; Bong Sub Chung; Hyeok Jin Hong
Journal:  Korean J Spine       Date:  2012-09-30

3.  Histological evaluation of bone biopsy results during PVP or PKP of vertebral compression fractures.

Authors:  Lei Zhang; Jigang Li; Huilin Yang; Zongping Luo; Jun Zou
Journal:  Oncol Lett       Date:  2012-09-28       Impact factor: 2.967

4.  In vivo quantification of response to treatment in patients with multiple myeloma by 1H magnetic resonance spectroscopy of bone marrow.

Authors:  Albert Oriol; Daniel Valverde; Jaume Capellades; Miquel E Cabañas; Josep-Maria Ribera; Carles Arús
Journal:  MAGMA       Date:  2007-04-05       Impact factor: 2.310

5.  Benign nontraumatic osteolytic vertebral collapse simulating malignancy.

Authors:  Azadeh Sattari; Alain Quillard; Jean-Denis Laredo
Journal:  Eur Radiol       Date:  2007-12-06       Impact factor: 5.315

6.  The Diagnostic Value of Magnetic Resonance Imaging in Identifying Unsuspected Malignancy in Patients Undergoing Percutaneous Vertebral Augmentation for Vertebral Compression Fractures.

Authors:  Chew Zhihong; Cheng Sheng DA Jowell; Syed Aftab; Seang Beng Tan; Chang Ming Guo; John Chen Li Tat; Poh Ling Fong; William Yeo; Mashfiqul A Siddiqui
Journal:  Int J Spine Surg       Date:  2019-10-31

7.  [Differentiation between acute osteoporotic and metastatic vertebral body fractures by imaging].

Authors:  T Geith; M Reiser; A Baur-Melnyk
Journal:  Unfallchirurg       Date:  2015-03       Impact factor: 1.000

Review 8.  Whole body diffusion weighted MRI--a new view of myeloma.

Authors:  Christina Messiou; Martin Kaiser
Journal:  Br J Haematol       Date:  2015-05-26       Impact factor: 6.998

9.  Delayed Recognition of Thoracic and Lumbar Vertebral Compression Fractures in Minor Accident Cases.

Authors:  Jesse Hatgis; Michelle Granville; Robert E Jacobson
Journal:  Cureus       Date:  2017-02-23

10.  Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging.

Authors:  Tomoyuki Takigawa; Masato Tanaka; Yoshihisa Sugimoto; Tomoko Tetsunaga; Keiichiro Nishida; Toshifumi Ozaki
Journal:  Asian Spine J       Date:  2017-06-15
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