Literature DB >> 30415666

The impact of magnetic resonance imaging in the diagnostic and classification process of osteoporotic vertebral fractures.

Giuseppe Marongiu1, Stefano Congia2, Marco Verona2, Massimo Lombardo3, Daniele Podda3, Antonio Capone2.   

Abstract

INTRODUCTION: Standard radiographs are still considered as the gold standard for the early assessment of thoraco-lumbar osteoporotic vertebral fractures (OVFs), although several studies demonstrated superior accuracy of magnetic resonance imaging (MRI) in the diagnostic process of OVFs. The aim of this study was to quantify the misdiagnosis rate of OVFs and analyse the impact of MRI on early diagnosis and classification, compared to standard radiographs alone.
MATERIALS AND METHODS: A total of 173 patients were enrolled in this study. All participants were 55 years of age or older (60 years for men) and complained acute back pain with suspected thoracolumbar OVFs without history of high-energy trauma. Diagnosis of OVF was initially performed on standard radiographs obtained in the emergency room. Then, all the patients underwent MRI scan with short-tau inversion recovery (STIR) sequencing within 7 days. We compared the level and number of fractures identified on standard radiographs with the MRI scan results. The discordance between radiographic and MRI diagnosis was quantified. Fractures were classified according to AO Spine Classification.
RESULTS: Mean age of the study participant was 74.2 years (range 55-92). They were 100 males and 73 females. MRI modified initial diagnosis in 52% (90/173) of our patients: in 43.9% of patients MRI identified one or more new thoracolumbar fracture. In 14 cases (8.1%) MRI disproved the evidence of any thoracolumbar fracture, even those recognized at plain X-rays. Bone bruise was detected by MRI in 19 vertebral bodies in 8 patients (4.6%) at levels that were classified as unremarkable on X-ray alone. In addition, 63 patients (36.4%) presented a total of 93 old fractures. The classification of fracture pattern after MRI changed in 28.90% of the patients (changes mostly involved AO type A1 patterns).
CONCLUSIONS: Underdiagnosis of osteoporotic vertebral fractures is a common problem due to a lack of radiographic detection. Our results showed that the extensive use of MRI imaging allows better accuracy in the diagnostic process and in the classification assessment, compared to conventional radiographs. Further investigation should provide additional information about the impact of early MRI on treatment and management of elderly patients with suspected OVFs, including the decision to hospitalize or not, and how it could affect clinical outcome and social costs.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  AO classification; Magnetic resonance imaging; Osteoporotic vertebral fractures; Thoracolumbar trauma

Mesh:

Year:  2018        PMID: 30415666     DOI: 10.1016/j.injury.2018.10.006

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  6 in total

1.  A Rare Presentation of a Compression Fracture or a Typical Presentation of Lateral Cutaneous Nerve Entrapment Syndrome: A Diagnostic Error?

Authors:  Takeshi Endo; Takashi Watari
Journal:  Intern Med       Date:  2021-10-12       Impact factor: 1.282

Review 2.  The biology and treatment of acute long-bones diaphyseal fractures: Overview of the current options for bone healing enhancement.

Authors:  Giuseppe Marongiu; Andrea Dolci; Marco Verona; Antonio Capone
Journal:  Bone Rep       Date:  2020-01-28

3.  Efficacy of Recombinant Human Parathyroid Hormone versus Vertebral Augmentation Procedure on Patients with Acute Osteoporotic Vertebral Compression Fracture.

Authors:  Pengguo Gou; Zhihui Zhao; Chen Yu; Xuefeng Hou; Gang Gao; Ting Zhang; Feng Chang
Journal:  Orthop Surg       Date:  2022-08-26       Impact factor: 2.279

4.  Osteoporotic Fractures of the Thoracic and Lumbar Vertebrae: Diagnosis and Conservative Treatment.

Authors:  Ulrich Spiegl; Hartmut Bork; Sebastian Grüninger; Uwe Maus; Georg Osterhoff; Max J Scheyerer; Philipp Pieroh; Jörg Schnoor; Christoph-Eckhard Heyde; Klaus J Schnake
Journal:  Dtsch Arztebl Int       Date:  2021-10-08       Impact factor: 5.594

5.  Artificial intelligence for the detection of vertebral fractures on plain spinal radiography.

Authors:  Kazuma Murata; Kenji Endo; Takato Aihara; Hidekazu Suzuki; Yasunobu Sawaji; Yuji Matsuoka; Hirosuke Nishimura; Taichiro Takamatsu; Takamitsu Konishi; Asato Maekawa; Hideya Yamauchi; Kei Kanazawa; Hiroo Endo; Hanako Tsuji; Shigeru Inoue; Noritoshi Fukushima; Hiroyuki Kikuchi; Hiroki Sato; Kengo Yamamoto
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

6.  Traumatic vertebral fractures involve the anterior end plate more than the posterior end plate: A retrospective study.

Authors:  Xiaorong Wang; Feirong Xu; Yuan Fu; Huanhuan Chen; Xiang Gao; Qiuli Huang
Journal:  Medicine (Baltimore)       Date:  2020-08-21       Impact factor: 1.817

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.