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Original research article

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

Yeliz PekcevikMehmet Onur KahyaAhmet Kaya
Departments of Radiology, and Orthopaedic Surgery, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
Date of Submission: 11-Aug-2013, Date of Acceptance: 11-Sep-2013, Date of Web Publication: 31-Dec-2013.
Corresponding Author:
Corresponding Author

Yeliz Pekcevik

Department of Radiology, Izmir Tepecik Training and Research Hospital, Gaziler Cd No: 468, TR‑35110 Yenişehir, Izmir, Turkey.
E-mail: yelizpekcevik@yahoo.com

Corresponding Author:
Corresponding Author

Yeliz Pekcevik

Department of Radiology, Izmir Tepecik Training and Research Hospital, Gaziler Cd No: 468, TR‑35110 Yenişehir, Izmir, Turkey.
E-mail: yelizpekcevik@yahoo.com

DOI: 10.4103/2156-7514.124094 Facebook Twitter Google Linkedin


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 mm2/s and 1.02 ± 1.0 × 10−3 mm2 /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 mm2 /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.
Keywords: Bone, Diffusion-weighted Magnetic Resonance Imaging, Neoplasm

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  2. Eman A.SH. Geneidi, Heba I. Ali and Eman F. Dola (2016) Role of DWI in characterization of bone tumors. The Egyptian Journal of Radiology and Nuclear Medicine 47(3):919. doi: 10.1016/j.ejrnm.2016.06.017
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  11. Oganes Ashikyan, M. Chalian, D. Moore, Y. Xi, P. Pezeshk and A. Chhabra (2019) Evaluation of giant cell tumors by diffusion weighted imaging–fractional ADC analysis. Skeletal Radiol :. doi: 10.1007/s00256-019-03219-8
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