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Erschienen in: Journal of Neuro-Oncology 1/2015

01.05.2015 | Clinical Study

Survival prediction in high-grade gliomas using CT perfusion imaging

verfasst von: Timothy Pok Chi Yeung, Yong Wang, Wenqing He, Benedetta Urbini, Roberta Gafà, Linda Ulazzi, Slav Yartsev, Glenn Bauman, Ting-Yim Lee, Enrico Fainardi, The Project of Emilia-Romagna Region on Neuro-Oncology (PERNO) Study Group

Erschienen in: Journal of Neuro-Oncology | Ausgabe 1/2015

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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.
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Metadaten
Titel
Survival prediction in high-grade gliomas using CT perfusion imaging
verfasst von
Timothy Pok Chi Yeung
Yong Wang
Wenqing He
Benedetta Urbini
Roberta Gafà
Linda Ulazzi
Slav Yartsev
Glenn Bauman
Ting-Yim Lee
Enrico Fainardi
The Project of Emilia-Romagna Region on Neuro-Oncology (PERNO) Study Group
Publikationsdatum
01.05.2015
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology / Ausgabe 1/2015
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-015-1766-5

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