Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral Gliomas
| العنوان: | Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral Gliomas |
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| المؤلفون: | Fumio Yamashita, Hideo Nakamura, Satomi Higuchi, Toshinori Hirai, Kohsuke Kudo, Ikuko Uwano, Jonathan Goodwin, Noriyuki Fujima, Ryuji Murakami, Makoto Sasaki |
| المصدر: | Magnetic Resonance in Medical Sciences |
| بيانات النشر: | Japanese Society for Magnetic Resonance in Medicine, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Adult, Male, medicine.medical_specialty, media_common.quotation_subject, Perfusion Imaging, Contrast Media, Perfusion scanning, Sensitivity and Specificity, 030218 nuclear medicine & medical imaging, White matter, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Glioma, medicine, dynamic susceptibility contrast, Image Processing, Computer-Assisted, Cutoff, Contrast (vision), Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, media_common, Aged, Aged, 80 and over, relative cerebral blood volume, Receiver operating characteristic, business.industry, Brain Neoplasms, Brain, Middle Aged, medicine.disease, Image Enhancement, Magnetic Resonance Imaging, medicine.anatomical_structure, ROC Curve, Female, Radiology, business, Nuclear medicine, Academic program, Algorithm, 030217 neurology & neurosurgery, Major Paper, Algorithms, Dynamic susceptibility |
| الوصف: | Purpose The purpose of the present study was to compare different software algorithms for processing DSC perfusion images of cerebral tumors with respect to i) the relative CBV (rCBV) calculated, ii) the cutoff value for discriminating low- and high-grade gliomas, and iii) the diagnostic performance for differentiating these tumors. Methods Following approval of institutional review board, informed consent was obtained from all patients. Thirty-five patients with primary glioma (grade II, 9; grade III, 8; and grade IV, 18 patients) were included. DSC perfusion imaging was performed with 3-Tesla MRI scanner. CBV maps were generated by using 11 different algorithms of four commercially available software and one academic program. rCBV of each tumor compared to normal white matter was calculated by ROI measurements. Differences in rCBV value were compared between algorithms for each tumor grade. Receiver operator characteristics analysis was conducted for the evaluation of diagnostic performance of different algorithms for differentiating between different grades. Results Several algorithms showed significant differences in rCBV, especially for grade IV tumors. When differentiating between low- (II) and high-grade (III/IV) tumors, the area under the ROC curve (Az) was similar (range 0.85-0.87), and there were no significant differences in Az between any pair of algorithms. In contrast, the optimal cutoff values varied between algorithms (range 4.18-6.53). Conclusions rCBV values of tumor and cutoff values for discriminating low- and high-grade gliomas differed between software packages, suggesting that optimal software-specific cutoff values should be used for diagnosis of high-grade gliomas. |
| اللغة: | English |
| تدمد: | 1880-2206 1347-3182 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fdb58a54aa56705ef4d173c1b50d8d2 http://europepmc.org/articles/PMC5600072 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....1fdb58a54aa56705ef4d173c1b50d8d2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18802206 13473182 |
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