title: Survival prediction in high-grade gliomas using CT perfusion imaging.
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.
authors: Department of Medical Biophysics, Western University, London, ON, Canada.
authors: Timothy Pok Chi
authors: TP
authors: Yeung
authors: Yong
authors: Y
authors: Wang
authors: Wenqing
authors: W
authors: He
authors: Benedetta
authors: B
authors: Urbini
authors: Roberta
authors: R
authors: Gafà
authors: Linda
authors: L
authors: Ulazzi
authors: Slav
authors: S
authors: Yartsev
authors: Glenn
authors: G
authors: Bauman
authors: Ting-Yim
authors: TY
authors: Lee
authors: Enrico
authors: E
authors: Fainardi
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001810:Blood Volume; D001932:Brain Neoplasms / Q000378:metabolism / Q000401:mortality / Q000473:pathology; D003287:Contrast Media / Q000378:metabolism; D005260:Female; D005500:Follow-Up Studies; D005910:Glioma / Q000378:metabolism / Q000401:mortality* / Q000473:pathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D060787:Neoplasm Grading; D055420:Perfusion Imaging / Q000379:methods*; D011379:Prognosis; D012372:ROC Curve; D015996:Survival Rate; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D003287:Contrast Media