Literature DB >> 25091110

Feasibility of a novel diagnostic chart of intramedullary spinal cord tumors in magnetic resonance imaging.

H Arima1, T Hasegawa1, D Togawa1, Y Yamato1, S Kobayashi1, T Yasuda1, Y Matsuyama1.   

Abstract

STUDY
DESIGN: Retrospective chart review.
OBJECTIVES: Each type of intramedullary spinal cord tumor (IMSCT) has specific anatomical and pathological features visible on magnetic resonance (MR) imaging. The purpose of this study was to investigate the accuracy of preoperative IMSCT diagnosis using our diagnostic chart of tumor-specific MR imaging findings.
SETTING: Hamamatsu, Japan.
METHODS: From 2009 to 2013, 28 consecutive patients with IMSCT who underwent surgery in our university hospital were included in this study. There were 17 men and 11 women with an average age of 49 years (12-81). The pathological diagnoses were hemangioblastoma (12), ependymoma (11), astrocytoma (4) and squamous cell carcinoma (1). Tumor-specific MR imaging findings were as follows: ependymoma ((a) spinal cord swelling, (b) contrast effect with necrosis, (c) tumor in the center of the spinal cord), hemangioblastoma ((a) spinal cord swelling, (b) homogeneous contrast effect) and astrocytoma ((a) spinal cord swelling, (b) contrast effect is either, (c) eccentric tumor). Based on these features, we generated a diagnostic chart to investigate the MR imaging diagnosis accuracy for IMSCTs.
RESULTS: The accuracy of preoperative diagnosis was 89% (25/28 cases). Correct diagnoses were made in 100% of hemangioblastomas (12/12 cases), 90% of ependymomas (9/11 cases) and 100% of astrocytomas (4/4 cases).
CONCLUSIONS: Different types of IMSCTs exhibit unique MR imaging characteristics. These features can be used to preoperatively diagnose IMSCTs with high accuracy.

Entities:  

Mesh:

Year:  2014        PMID: 25091110     DOI: 10.1038/sc.2014.127

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  6 in total

Review 1.  Current Management and Treatment Modalities for Intramedullary Spinal Cord Tumors.

Authors:  Rupa G Juthani; Mark H Bilsky; Michael A Vogelbaum
Journal:  Curr Treat Options Oncol       Date:  2015-08

2.  Validity of magnetic resonance imaging (MRI) in the primary spinal cord tumors in routine clinical setting.

Authors:  Young Il Won; Yunhee Choi; Woon Tak Yuh; Shin Won Kwon; Chi Heon Kim; Seung Heon Yang; Chun Kee Chung
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

3.  Variety of preoperative MRI changes in spinal cord ependymoma of WHO grade II: a case series.

Authors:  Kazuyoshi Kobayashi; Kei Ando; Fumihiko Kato; Koji Sato; Mitsuhiro Kamiya; Mikito Tsushima; Masaaki Machino; Kyotaro Ota; Masayoshi Morozumi; Satoshi Tanaka; Shunsuke Kanbara; Sadayuki Ito; Naoki Ishiguro; Shiro Imagama
Journal:  Eur Spine J       Date:  2018-09-12       Impact factor: 3.134

4.  Diffusion tensor imaging in unclear intramedullary tumor-suspected lesions allows separating tumors from inflammation.

Authors:  Marc Hohenhaus; Yorn Merz; Jan-Helge Klingler; Christoph Scholz; Ulrich Hubbe; Jürgen Beck; Katharina Wolf; Karl Egger; Marco Reisert; Nico Kremers
Journal:  Spinal Cord       Date:  2021-12-30       Impact factor: 2.473

Review 5.  Intramedullary Spinal Cord Tumors: Part I-Epidemiology, Pathophysiology, and Diagnosis.

Authors:  Dino Samartzis; Christopher C Gillis; Patrick Shih; John E O'Toole; Richard G Fessler
Journal:  Global Spine J       Date:  2015-03-31

6.  MR imaging features of spinal pilocytic astrocytoma.

Authors:  De-Jun She; Yi-Ping Lu; Ji Xiong; Dao-Ying Geng; Bo Yin
Journal:  BMC Med Imaging       Date:  2019-01-14       Impact factor: 1.930

  6 in total

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