Spine MRI identifies clinically relevant findings in patients with cancer presenting with back pain Journal Article


Authors: Tringale, K. R.; Gangai, N.; Chua, A.; Godwin, K.; Guman, G.; Laufer, I.; Cathcart, K. N. S.; Lis, E.; Schmitt, A.; Moskowitz, C. S.; Chilov, M.; Vachha, B. A.
Article Title: Spine MRI identifies clinically relevant findings in patients with cancer presenting with back pain
Abstract: Study Design. This is a retrospective, cross-sectional study. Objective. The primary aim was to identify the diagnostic yield of spine magnetic resonance imaging (MRI) in detecting malignant pathology in cancer patients with back pain. We also sought to evaluate the role of MRI extent (i.e. regional vs. total) in identifying malignant pathology. Summary of Background Data. No prior study has systematically investigated the yield of spine MRI in a large cohort of cancer patients. Methods. Spine MRI reports from 2017 to 2021 for back pain (acute and nonspecified chronicity) in cancer patients were reviewed to identify clinically relevant findings: malignant (1) epidural, (2) leptomeningeal, (3) intramedullary, (4) osseous disease, and (5) fracture. Logistic regression was used to evaluate the association between MRI extent and the presence of cancer-related findings. For patients with multiple MRIs, short-interval scans (≤4 mo) were evaluated to assess the yield of repeat imaging. Results. At least one cancer-related finding was identified on 52% of 5989 spine MRIs ordered for back pain and 57% of 1130 spine MRIs ordered specifically for acute back pain. The most common pathology was malignant osseous disease (2545; 43%). Across all five categories, most findings (77%-89%) were new/progressive. Odds of identifying a finding were significantly higher with total versus regional spine MRIs (P<0.001). Although only 14 patients had a positive regional MRI followed shortly by a positive total spine MRI, most of these repeat total spine MRIs (78%) identified findings outside the scope of the initial regional scan. Twenty-one patients had both computed tomography and MRI within 30 days of each other; eight (38%) had compression fractures appreciated on MRI but not on computed tomography. Conclusions. Our findings suggest imaging the total spine in cancer patients with back pain given higher odds of identifying malignant pathology and instances of capturing otherwise not visualized disease. Further work is warranted to confirm these findings. © 2024 Wolters Kluwer Health. All rights reserved.
Keywords: adult; aged; primary tumor; retrospective studies; major clinical study; cancer patient; gadolinium; nuclear magnetic resonance imaging; magnetic resonance imaging; neoplasm; neoplasms; computer assisted tomography; breast cancer; skin cancer; lung cancer; diagnostic imaging; retrospective study; urogenital tract cancer; backache; prostate cancer; diagnostic value; head and neck cancer; contrast enhancement; spinal cord compression; spine; lymphoma; brain cancer; cross-sectional study; cross-sectional studies; mri; spinal cord disease; bone cancer; gastrointestinal cancer; kyphoplasty; laminectomy; lumbar spine; thoracic spine; female genital tract cancer; epidural space; complication; leptomeninx; spine radiography; vertebra body; radiculopathy; procedures; hepatobiliary system cancer; soft tissue cancer; compression fracture; back pain; meninx disorder; cancer; humans; human; male; female; article; patient history of radiotherapy; central nervous system cancer
Journal Title: Spine
Volume: 49
Issue: 6
ISSN: 0362-2436
Publisher: Lippincott Williams & Wilkins  
Date Published: 2024-03-15
Start Page: 419
End Page: 425
Language: English
DOI: 10.1097/brs.0000000000004803
PUBMED: 37602415
PROVIDER: scopus
PMCID: PMC10879457
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Source: Scopus
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MSK Authors
  1. Eric Lis
    138 Lis
  2. Chaya S. Moskowitz
    276 Moskowitz
  3. Adam Michael Schmitt
    50 Schmitt
  4. Natalie Gangai
    53 Gangai
  5. Marina Chilov
    9 Chilov
  6. Kathryn Ries Tringale
    100 Tringale
  7. Kendra Godwin
    13 Godwin
  8. Andrew Chua
    1 Chua