1. Survival prediction in high-grade gliomas using CT perfusion imaging
- Author
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Roberta Gafà, Nicola Morelli, Stefano Meletti, Romana Rizzi, Francesca Bisulli, Enrico M. Silini, Elena Bonora, Guido Bigliardi, Enrico Granieri, Paolo Tinuper, Paolo Immovilli, Elisa Baldin, Monia Dall'Agata, Federica Bertolini, Patrizia CENNI, Francesco Latini, Glenn Bauman, Enrico Franceschi, Francesco Fiorica, Corrado Iaccarino, Giorgio Palandri, Yeung, T.P.C., Wang, Y., He, W., Urbini, B., Gafa, R., Ulazzi, L., Yartsev, S., Bauman, G., Lee, T.-Y., Fainardi, E., Project of Emilia Romagna Region on Neuro-Oncology Study Group [.., Bisulli, F., Carelli, V., Tinuper, P., and ]
- Subjects
Male ,Cancer Research ,Computed tomography ,CT perfusion ,Glioblastoma multiforme ,High-grade gliomas ,Overall survival ,medicine.medical_treatment ,Contrast Media ,Perfusion scanning ,Blood volume ,glioma ,Medicine ,Aged, 80 and over ,Blood Volume ,medicine.diagnostic_test ,Brain Neoplasms ,Middle Aged ,Prognosis ,Survival Rate ,Neurology ,Oncology ,CT imaging ,Female ,Radiology ,Perfusion ,High grade gliomas, glioblastoma multiforme, computed tomography, CT perfusion, overall survival ,Adult ,medicine.medical_specialty ,overall survival ,Perfusion Imaging ,NO ,glioblastoma multiforme ,Glioma ,Humans ,Survival rate ,Survival analysis ,Aged ,High grade gliomas ,business.industry ,computed tomography ,Magnetic resonance imaging ,medicine.disease ,Radiation therapy ,ROC Curve ,Neurology (clinical) ,Neoplasm Grading ,business ,Tomography, X-Ray Computed ,Follow-Up Studies - Abstract
Patients with high-grade gliomas usually have heterogeneous response to surgery and chemoirradiation. The objectives of this study were (1) to evaluate serial changes in tumor volume and perfusion imaging parameters and (2) to determine the value of these data in predicting overall survival (OS). Twenty-nine patients with World Health Organization grades III and IV gliomas underwent magnetic resonance (MR) and computed tomography (CT) perfusion examinations before surgery, and 1, 3, 6, 9, and 12 months after radiotherapy. Serial measurements of tumor volumes and perfusion parameters were evaluated by receiver operating characteristic analysis, Cox proportional hazards regression, and Kaplan-Meier survival analysis to determine their values in predicting OS. Higher trends in blood flow (BF), blood volume (BV), and permeability-surface area product in the contrast-enhancing lesions (CEL) and the non-enhancing lesions (NEL) were found in patients with OS < 18 months compared to those with OS ≥ 18 months, and these values were significant at selected time points (P < 0.05). Only CT perfusion parameters yielded sensitivities and specificities of ≥ 70% in predicting 18 and 24 months OS. Pre-surgery BF in the NEL and BV in the CEL and NEL 3 months after radiotherapy had sensitivities and specificities >80% in predicting 24 months OS in patients with grade IV gliomas. Our study indicated that CT perfusion parameters were predictive of survival and could be useful in assessing early response and in selecting adjuvant treatment to prolong survival if verified in a larger cohort of patients.
- Published
- 2015