Publication / RCMCI
Published Date: 2018/12/31
Published By: Dr. Hamid Reza Saligheh Rad
Published At: The Neuroradiology Journal, 0(00) 1–12
Attachment Files: Accuracy-of-diffusion-weighted-imagingmagnetic-resonance.pdf
Published URL:

Morteza Sanei Taheri, Farnaz Kimia, Mersad Mehrnahad, Hamidreza Saligheh Rad, Hamidreza Haghighatkhah1, Afshin Moradi, Anahita Fathi Kazerooni2, Mohammadreza Alviri and Abdorrahim Absalan

Purpose: The purpose of this study was to determine the accuracy of selected first or second-order histogram features in differentiation of functional types of pituitary macro-adenomas.
Materials and methods: Diffusion-weighted imaging magnetic resonance imaging was  performed on 32 patients (age meanstandard deviation ¼ 43.09 11.02 years; min ¼ 22 and max ¼ 65 years) with pituitary macro-adenoma (10 with functional and 22 with non-functional tumors). Histograms of apparent diffusion coefficient were generated from regions of interest and selected first or second-order histogram features were extracted. Collagen contents of the surgically resected tumors were examined histochemically using Masson trichromatic staining and graded as containing <1%, 1–3%, and >3% of collagen.
Results: Among selected first or second-order histogram features, uniformity (p ¼ 0.02), 75th percentile (p ¼ 0.03), and tumor smoothness (p ¼ 0.02) were significantly different between functional and non-functional tumors. Tumor smoothness > 5.7 109 (area under the curve ¼ 0.75; 0.56–0.89) had 70% (95% confidence interval ¼ 34.8–93.3%) sensitivity and
33.33% (95% confidence interval ¼ 14.6–57.0%) specificity for diagnosis of functional tumors. Uniformity 179.271 had a sensitivity of 60% (95% confidence interval ¼ 26.2–87.8%) and specificity of 90.48% (95% confidence interval ¼ 69.6–98.8%) with area under the curve ¼ 0.76; 0.57–0.89. The 75th percentile >0.7 had a sensitivity of 80% (95% confidence
interval ¼ 44.4–97.5%) and specificity of 66.67% (95% confidence interval ¼ 43.0–85.4%) for categorizing tumors to functional and non-functional types (area under the curve ¼ 0.74; 0.55–0.88). Using these cut-offs, smoothness and uniformity are suggested as negative predictive indices (non-functional tumors) whereas 75th percentile is more applicable for diagnosis of functional tumors.
Conclusion: First or second-order histogram features could be helpful in differentiating functional vs non-functional pituitary macro-adenoma tumors.