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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...

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Autores principales: Takigawa, Tomoyuki, Tanaka, Masato, Sugimoto, Yoshihisa, Tetsunaga, Tomoko, Nishida, Keiichiro, Ozaki, Toshifumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Spine Surgery 2017
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.
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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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