Prognostic Implications of Total Hemispheric Glucose Metabolism Ratio in Cerebrocerebellar Diaschisis
Autor: | Poul Flemming Høilund-Carlsen, Søren Hess, Eivind Antonsen Segtnan, Jana Ivanidze, Caius Mihail Constantinescu, Sofie Bæk Christlieb, Mojtaba Zarei, Jens Ole Jarden, Peter Grupe, Sina Houshmand, John Erling Pedersen, Oke Gerke, Abass Alavi, Albert Gjedde |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male Biomarkers/metabolism 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Neuroimaging Fluorodeoxyglucose F18 Glioma Cerebellar hemisphere Cerebellum Quantification Glioma/diagnostic imaging medicine Glucose/metabolism Humans Radiology Nuclear Medicine and imaging Tissue Distribution Diaschisis Aged Observer Variation Fluorodeoxyglucose F18/pharmacokinetics Receiver operating characteristic medicine.diagnostic_test Cerebrum business.industry Brain Neoplasms Brain Middle Aged medicine.disease Prognosis FDG-PET/CT medicine.anatomical_structure Glucose Biochemistry Positron emission tomography Positron-Emission Tomography Cerebral hemisphere Brain Neoplasms/diagnostic imaging Radiopharmaceuticals/pharmacokinetics Female Radiopharmaceuticals business Nuclear medicine 030217 neurology & neurosurgery Biomarkers |
Zdroj: | Segtnan, E A, Grupe, P, Jarden, J O, Gerke, O, Ivanidze, J, Christlieb, S B, Constantinescu, C M, Pedersen, J E, Houshmand, S, Hess, S, Zarei, M, Gjedde, A, Alavi, A & Høilund-Carlsen, P F 2017, ' Prognostic implications of total hemispheric glucose metabolism ratio in cerebro-cerebellar diaschisis ', Journal of Nuclear Medicine, vol. 58, no. 5, pp. 768-773 . https://doi.org/10.2967/jnumed.116.180398 |
ISSN: | 1535-5667 |
DOI: | 10.2967/jnumed.116.180398 |
Popis: | Diaschisis denotes brain dysfunction remote from a focal brain lesion. We have quantified diaschisis and investigated its prognostic value in glioma. Methods: We compared 50 18F-FDG PET/CT studies collected prospectively from 14 patients with supratentorial glioma (5 men and 9 women; age range, 35-77 y) with 10 single scans from healthy controls (age range, 43-75 y). Dedicated 3-dimensional segmentation software was used to obtain total hemispheric glucose metabolic ratios (THGr) by dividing total hemispheric 18F-FDG uptake in each diaschitic hemisphere-that is, the ipsilateral cerebral hemisphere (THGr(Ce)) and the contralateral cerebellar hemisphere (THGr(Cb))-by its respective contralateral side. Receiver-operatingcharacteristic (ROC) analysis was performed to determine optimal cut-offs for combinations of THGr(Ce) and THGr(Cb). Two independent observers obtained data for reproducibility analysis, and THGr values were compared with qualitative assessment of diaschisis performed by a PET neuroimaging specialist. Results: Qualitative analysis confirmed cerebrocerebellar diaschisis in all glioblastoma PET studies performed within 1 y of death. Healthy subjects had significantly higher THGr(Ce) values (P = 0.0007) and THGr (Cb) values (P = 0.02) than glioblastoma patients. ROC analysis yielded diaschisis thresholds of 0.62 for THGr(Ce) and 0.84 for THGr (Cb). Qualitative assessment demonstrated cerebral diaschisis in 16 of 17 (94%) cases with THGr(Ce) below the determined threshold and cerebellar diaschisis in 25 of 26 (96%) cases with THGr(Cb) below the determined threshold. When both THGr(Ce) and THGr(Cb) were below the ROC threshold, the combined diaschisis measures had a positive predictive value for survival below 1 y of 100%. When one parameter was below the threshold, it had a positive predictive value of 75%, and when both parameters exceeded thresholds, the negative predictive value for survival above 1 y was 79%. Median interrater variability was 3.3% and 5.9% for THGr(Ce) and THGr(Cb), respectively. Conclusion: The THGr measures demonstrated diaschisis in the cerebrum and cerebellum of patients with glioma. Combined cerebrocerebellar diaschisis ratios with ROC thresholds for both forebrain and hindbrain had high negative and positive predictive values for survival for less than a year. The THGr method allows comparison of data obtained at different institutions and is now open for further validation in gliomas and other cerebral diseases. |
Databáze: | OpenAIRE |
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