Stefan Schob1, Anne Beeskow2, Julia Dieckow3, Hans-Jonas Meyer4, Matthias Krause5, Clara Frydrychowicz6, Franz-Wolfgang Hirsch2, Alexey Surov4. 1. Department for Neuroradiology, University Hospital Leipzig, Liebigstraße 20, 04103, Leipzig, Germany. Stefan.Schob@Medizin.Uni-Leipzig.de. 2. Department for Pediatric Radiology, University Hospital Leipzig, Leipzig, Germany. 3. Department for Ophthalmology, University Hospital Leipzig, Leipzig, Germany. 4. Clinic for Diagnostic and Interventional Radiology, University Hospital Leipzig, Leipzig, Germany. 5. Clinic and Policlinic for Neurosurgery, University Hospital Leipzig, Leipzig, Germany. 6. Department for Neuropathology, University Hospital Leipzig, Leipzig, Germany.
Abstract
BACKGROUND: Medulloblastomas are the most common central nervous system tumors in childhood. Treatment and prognosis strongly depend on histology and transcriptomic profiling. However, the proliferative potential also has prognostical value. Our study aimed to investigate correlations between histogram profiling of diffusion-weighted images and further microarchitectural features. MATERIAL AND METHODS: Seven patients (age median 14.6 years, minimum 2 years, maximum 20 years; 5 male, 2 female) were included in this retrospective study. Using a Matlab-based analysis tool, histogram analysis of whole apparent diffusion coefficient (ADC) volumes was performed. RESULTS: ADC entropy revealed a strong inverse correlation with the expression of the proliferation marker Ki67 (r = - 0.962, p = 0.009) and with total nuclear area (r = - 0.888, p = 0.044). Furthermore, ADC percentiles, most of all ADCp90, showed significant correlations with Ki67 expression (r = 0.902, p = 0.036). DISCUSSION AND CONCLUSION: Diffusion histogram profiling of medulloblastomas provides valuable in vivo information which potentially can be used for risk stratification and prognostication. First of all, entropy revealed to be the most promising imaging biomarker. However, further studies are warranted.
BACKGROUND:Medulloblastomas are the most common central nervous system tumors in childhood. Treatment and prognosis strongly depend on histology and transcriptomic profiling. However, the proliferative potential also has prognostical value. Our study aimed to investigate correlations between histogram profiling of diffusion-weighted images and further microarchitectural features. MATERIAL AND METHODS: Seven patients (age median 14.6 years, minimum 2 years, maximum 20 years; 5 male, 2 female) were included in this retrospective study. Using a Matlab-based analysis tool, histogram analysis of whole apparent diffusion coefficient (ADC) volumes was performed. RESULTS: ADC entropy revealed a strong inverse correlation with the expression of the proliferation marker Ki67 (r = - 0.962, p = 0.009) and with total nuclear area (r = - 0.888, p = 0.044). Furthermore, ADC percentiles, most of all ADCp90, showed significant correlations with Ki67 expression (r = 0.902, p = 0.036). DISCUSSION AND CONCLUSION: Diffusion histogram profiling of medulloblastomas provides valuable in vivo information which potentially can be used for risk stratification and prognostication. First of all, entropy revealed to be the most promising imaging biomarker. However, further studies are warranted.
Authors: Alexey Surov; Daniel T Ginat; Eser Sanverdi; C C Tchoyoson Lim; Bahattin Hakyemez; Akira Yogi; Teresa Cabada; Andreas Wienke Journal: World Neurosurg Date: 2015-10-31 Impact factor: 2.104
Authors: Michael D Taylor; Paul A Northcott; Andrey Korshunov; Marc Remke; Yoon-Jae Cho; Steven C Clifford; Charles G Eberhart; D Williams Parsons; Stefan Rutkowski; Amar Gajjar; David W Ellison; Peter Lichter; Richard J Gilbertson; Scott L Pomeroy; Marcel Kool; Stefan M Pfister Journal: Acta Neuropathol Date: 2011-12-02 Impact factor: 17.088