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Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging
STUDY DESIGN: Retrospective analysis using magnetic resonance imaging (MRI). PURPOSE: To identify MRI features that could discriminate benign from malignant vertebral fractures. OVERVIEW OF LITERATURE: Discrimination between benign and malignant vertebral fractures remains challenging, particularly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Spine Surgery
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481604/ https://www.ncbi.nlm.nih.gov/pubmed/28670417 http://dx.doi.org/10.4184/asj.2017.11.3.478 |
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author | Takigawa, Tomoyuki Tanaka, Masato Sugimoto, Yoshihisa Tetsunaga, Tomoko Nishida, Keiichiro Ozaki, Toshifumi |
author_facet | Takigawa, Tomoyuki Tanaka, Masato Sugimoto, Yoshihisa Tetsunaga, Tomoko Nishida, Keiichiro Ozaki, Toshifumi |
author_sort | Takigawa, Tomoyuki |
collection | PubMed |
description | STUDY DESIGN: Retrospective analysis using magnetic resonance imaging (MRI). PURPOSE: To identify MRI features that could discriminate benign from malignant vertebral fractures. OVERVIEW OF LITERATURE: Discrimination between benign and malignant vertebral fractures remains challenging, particularly in patients with osteoporosis and cancer. Presently, the most sensitive means of detecting and assessing fracture etiology is MRI. However, published reports have focused on only one or a few discriminators. METHODS: Totally, 106 patients were assessed by MRI within six weeks of sustaining 114 thoracic and/or lumbar vertebral fractures (benign, n=65; malignant, n=49). The fractures were pathologically confirmed if malignant or clinically diagnosed if benign and were followed up for a minimum of six months. Seventeen features were analyzed in all fractures' magnetic resonance images. Single parameters were analyzed using the chi-square test; a logit model was established using multivariate logistic regression analysis. RESULTS: The chi-square test revealed 11 malignant and 4 benign parameters. Multivariate logistic regression analysis selected (i) posterior wall diffuse protrusion (odds ratio [OR], 48; 95% confidence interval [CI], 4.2–548; p=0.002), (ii) pedicle involvement (OR, 21; 95% CI, 2.0–229; p=0.01), (iii) posterior involvement (OR, 21; 95% CI, 1.5–21; p=0.02), and (iv) band pattern (OR, 0.047; 95% CI, 0.0005–4.7; p=0.19). The logit model was expressed as P=1/[1+exp (x)], x=−3.88×(i)−3.05×(ii)−3.02×(iii)+3.05×(iv)+5.00, where P is the probability of malignancy. The total predictive value was 97.3%. The only exception was multiple myeloma with features of a benign fracture. CONCLUSIONS: Although each MRI feature had a different meaning with a variable differentiation power, combining them led to an accurate diagnosis. This study identified the most relevant MRI features that would be helpful in discriminating benign from malignant vertebral fractures. |
format | Online Article Text |
id | pubmed-5481604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Society of Spine Surgery |
record_format | MEDLINE/PubMed |
spelling | pubmed-54816042017-06-30 Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging Takigawa, Tomoyuki Tanaka, Masato Sugimoto, Yoshihisa Tetsunaga, Tomoko Nishida, Keiichiro Ozaki, Toshifumi Asian Spine J Clinical Study STUDY DESIGN: Retrospective analysis using magnetic resonance imaging (MRI). PURPOSE: To identify MRI features that could discriminate benign from malignant vertebral fractures. OVERVIEW OF LITERATURE: Discrimination between benign and malignant vertebral fractures remains challenging, particularly in patients with osteoporosis and cancer. Presently, the most sensitive means of detecting and assessing fracture etiology is MRI. However, published reports have focused on only one or a few discriminators. METHODS: Totally, 106 patients were assessed by MRI within six weeks of sustaining 114 thoracic and/or lumbar vertebral fractures (benign, n=65; malignant, n=49). The fractures were pathologically confirmed if malignant or clinically diagnosed if benign and were followed up for a minimum of six months. Seventeen features were analyzed in all fractures' magnetic resonance images. Single parameters were analyzed using the chi-square test; a logit model was established using multivariate logistic regression analysis. RESULTS: The chi-square test revealed 11 malignant and 4 benign parameters. Multivariate logistic regression analysis selected (i) posterior wall diffuse protrusion (odds ratio [OR], 48; 95% confidence interval [CI], 4.2–548; p=0.002), (ii) pedicle involvement (OR, 21; 95% CI, 2.0–229; p=0.01), (iii) posterior involvement (OR, 21; 95% CI, 1.5–21; p=0.02), and (iv) band pattern (OR, 0.047; 95% CI, 0.0005–4.7; p=0.19). The logit model was expressed as P=1/[1+exp (x)], x=−3.88×(i)−3.05×(ii)−3.02×(iii)+3.05×(iv)+5.00, where P is the probability of malignancy. The total predictive value was 97.3%. The only exception was multiple myeloma with features of a benign fracture. CONCLUSIONS: Although each MRI feature had a different meaning with a variable differentiation power, combining them led to an accurate diagnosis. This study identified the most relevant MRI features that would be helpful in discriminating benign from malignant vertebral fractures. Korean Society of Spine Surgery 2017-06 2017-06-15 /pmc/articles/PMC5481604/ /pubmed/28670417 http://dx.doi.org/10.4184/asj.2017.11.3.478 Text en Copyright © 2017 by Korean Society of Spine Surgery http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Study Takigawa, Tomoyuki Tanaka, Masato Sugimoto, Yoshihisa Tetsunaga, Tomoko Nishida, Keiichiro Ozaki, Toshifumi Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title | Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title_full | Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title_fullStr | Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title_full_unstemmed | Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title_short | Discrimination between Malignant and Benign Vertebral Fractures Using Magnetic Resonance Imaging |
title_sort | discrimination between malignant and benign vertebral fractures using magnetic resonance imaging |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481604/ https://www.ncbi.nlm.nih.gov/pubmed/28670417 http://dx.doi.org/10.4184/asj.2017.11.3.478 |
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