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Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results

OBJECTIVE: The study aims to determine whether apparent diffusion coefficient (ADC) can help differentiate benign and malignant bone tumors. MATERIALS AND METHODS: From January 2012 to February 2013, we prospectively included 26 patients. Of these 15 patients were male and 11 were female; ranging in...

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Autores principales: Pekcevik, Yeliz, Kahya, Mehmet Onur, Kaya, Ahmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935268/
https://www.ncbi.nlm.nih.gov/pubmed/24605258
http://dx.doi.org/10.4103/2156-7514.124094
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author Pekcevik, Yeliz
Kahya, Mehmet Onur
Kaya, Ahmet
author_facet Pekcevik, Yeliz
Kahya, Mehmet Onur
Kaya, Ahmet
author_sort Pekcevik, Yeliz
collection PubMed
description OBJECTIVE: The study aims to determine whether apparent diffusion coefficient (ADC) can help differentiate benign and malignant bone tumors. MATERIALS AND METHODS: From January 2012 to February 2013, we prospectively included 26 patients. Of these 15 patients were male and 11 were female; ranging in age from 8 to 76 years (mean age, 34.5 years). Diffusion-weighted magnetic resonance (MR) imaging was obtained with a single-shot echo-planar imaging sequence using a 1.5T MR scanner. We grouped malignant lesions as primary, secondary, and primary tumor with chondroid matrix. The minimum ADC was measured in the tumors and mean minimum ADC values were selected for statistical analysis. ADC values were compared between malignant and benign tumors using the Mann-Whitney U-test and receiver operating curve analysis were done to determine optimal cut-off values. RESULTS: The mean ADC values from the area with lowest ADC values of benign and malignant tumors were 1.99 ± 0.57 × 10(−3) mm(2)/s and 1.02 ± 1.0 × 10(−3) mm(2)/s, respectively. The mean minimum ADC values of benign and malignant tumors were statistically different (P = 0.029). With cut-off value of 1.37 (10(−3) mm(2)/s), sensitivity was 77.8% and specificity was 82.4%, for distinguishing benign and malignant lesion. Benign and secondary malignant tumors showed statistically significant difference (P = 0.002). There was some overlap in ADC values between benign and malignant tumors. The mean minimum ADC values of benign and malignant chondroid tumors were high. Giant cell tumor, non-ossifying fibroma and fibrous dysplasia showed lower ADC values. CONCLUSION: Although there is some overlap, ADC values of benign and malignant bone tumors seem to be different. Further studies with larger patient groups are needed to find an optimal cut-off ADC value.
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spelling pubmed-39352682014-03-06 Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results Pekcevik, Yeliz Kahya, Mehmet Onur Kaya, Ahmet J Clin Imaging Sci Original Article OBJECTIVE: The study aims to determine whether apparent diffusion coefficient (ADC) can help differentiate benign and malignant bone tumors. MATERIALS AND METHODS: From January 2012 to February 2013, we prospectively included 26 patients. Of these 15 patients were male and 11 were female; ranging in age from 8 to 76 years (mean age, 34.5 years). Diffusion-weighted magnetic resonance (MR) imaging was obtained with a single-shot echo-planar imaging sequence using a 1.5T MR scanner. We grouped malignant lesions as primary, secondary, and primary tumor with chondroid matrix. The minimum ADC was measured in the tumors and mean minimum ADC values were selected for statistical analysis. ADC values were compared between malignant and benign tumors using the Mann-Whitney U-test and receiver operating curve analysis were done to determine optimal cut-off values. RESULTS: The mean ADC values from the area with lowest ADC values of benign and malignant tumors were 1.99 ± 0.57 × 10(−3) mm(2)/s and 1.02 ± 1.0 × 10(−3) mm(2)/s, respectively. The mean minimum ADC values of benign and malignant tumors were statistically different (P = 0.029). With cut-off value of 1.37 (10(−3) mm(2)/s), sensitivity was 77.8% and specificity was 82.4%, for distinguishing benign and malignant lesion. Benign and secondary malignant tumors showed statistically significant difference (P = 0.002). There was some overlap in ADC values between benign and malignant tumors. The mean minimum ADC values of benign and malignant chondroid tumors were high. Giant cell tumor, non-ossifying fibroma and fibrous dysplasia showed lower ADC values. CONCLUSION: Although there is some overlap, ADC values of benign and malignant bone tumors seem to be different. Further studies with larger patient groups are needed to find an optimal cut-off ADC value. Medknow Publications & Media Pvt Ltd 2013-12-31 /pmc/articles/PMC3935268/ /pubmed/24605258 http://dx.doi.org/10.4103/2156-7514.124094 Text en Copyright: © 2013 Pekcevik Y http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Pekcevik, Yeliz
Kahya, Mehmet Onur
Kaya, Ahmet
Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title_full Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title_fullStr Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title_full_unstemmed Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title_short Diffusion-weighted Magnetic Resonance Imaging in the Diagnosis of Bone Tumors: Preliminary Results
title_sort diffusion-weighted magnetic resonance imaging in the diagnosis of bone tumors: preliminary results
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935268/
https://www.ncbi.nlm.nih.gov/pubmed/24605258
http://dx.doi.org/10.4103/2156-7514.124094
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AT kayaahmet diffusionweightedmagneticresonanceimaginginthediagnosisofbonetumorspreliminaryresults