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
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