Rate of change in maximum 18F-FDOPA PET uptake and non-enhancing tumor volume predict malignant transformation and overall survival in low-grade gliomas
| Autor: | Matthew Ji, Albert Lai, Hiroyuki Tatekawa, Benjamin M. Ellingson, Whitney B. Pope, Jacob Schlossman, Timothy F. Cloughesy, Catalina Raymond, Talia Oughourlian, Jingwen Yao, Johannes Czernin, Phioanh L. Nghiemphu, Noriko Salamon |
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| Rok vydání: | 2020 |
| Předmět: |
Oncology
Male Cancer Research Fluid-attenuated inversion recovery Cell Transformation Malignant transformation 0302 clinical medicine 80 and over Medicine Cancer screening and diagnosis Brain Neoplasms Glioma Middle Aged Magnetic Resonance Imaging Dihydroxyphenylalanine Tumor Burden 18F-FDOPA PET Detection Neurology 030220 oncology & carcinogenesis Biomarker (medicine) Biomedical Imaging Female MRI 4.2 Evaluation of markers and technologies Adult medicine.medical_specialty F-18-FDOPA PET Oncology and Carcinogenesis Bioengineering Sensitivity and Specificity 03 medical and health sciences Young Adult 18f fdopa Rare Diseases Patient age Internal medicine Overall survival Humans Low grade glioma In patient Oncology & Carcinogenesis Aged Neoplastic business.industry Neurosciences Biomarker Survival Analysis Brain Disorders 4.1 Discovery and preclinical testing of markers and technologies Brain Cancer Positron-Emission Tomography Low-Grade Glioma Neurology (clinical) business 030217 neurology & neurosurgery |
| Zdroj: | Journal of neuro-oncology, vol 147, iss 1 |
| Popis: | PurposeTo examine whether the rate of change in maximum 18F-FDOPA PET uptake and the rate of change in non-enhancing tumor volume could predict malignant transformation and residual overall survival (OS) in low grade glioma (LGG) patients who received serial 18F-FDOPA PET and MRI scans.Methods27 LGG patients with ≥ 2 18F-FDOPA PET and MRI scans between 2003 and 2016 were included. The rate of change in FLAIR volume (uL/day) and maximum normalized 18F-FDOPA specific uptake value (nSUVmax/month), were compared between histological and molecular subtypes. General linear models (GLMs) were used to integrate clinical information with MR-PET measurements to predict malignant transformation. Cox univariate and multivariable regression analyses were performed to identify imaging and clinical risk factors related to OS.ResultsA GLM using patient age, treatment, the rate of change in FLAIR and 18F-FDOPA nSUVmax could predict malignant transformation with > 67% sensitivity and specificity (AUC = 0.7556, P = 0.0248). A significant association was observed between OS and continuous rates of change in PET uptake (HR = 1.0212, P = 0.0034). Cox multivariable analysis confirmed that continuous measures of the rate of change in PET uptake was an independent predictor of OS (HR = 1.0242, P = 0.0033); however, stratification of patients based on increasing or decreasing rate of change in FLAIR (HR = 2.220, P = 0.025), PET uptake (HR = 2.148, P = 0.0311), or both FLAIR and PET (HR = 2.354, P = 0.0135) predicted OS.ConclusionsThe change in maximum normalized 18F-FDOPA PET uptake, with or without clinical information and rate of change in tumor volume, may be useful for predicting the risk of malignant transformation and estimating residual survival in patients with LGG. |
| Databáze: | OpenAIRE |
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