Cumulative intracranial tumor volume prognostic assessment (CITVPA): a new predicting score index for patients affected by brain metastases treated with gamma knife stereotactic radiosurgery
EANS Academy. Donofrio C. 09/26/19; 276080; EP07007
Carmine Antonio Donofrio
Carmine Antonio Donofrio

Access to this content is reserved for EANS members and attendees of this event. Click here to become an EANS member and gain your access to the full content of the EANS Academy

Discussion Forum (0)
Rate & Comment (0)
Purpose: To identify a new prognostic model for patients affected by brain metastases (BM) who underwent Gamma Knife Radiosurgery (GKRS).
Methods: Between January 2001 and December 2015, 1894 consecutive patients underwent GKRS at San Raffaele Hospital for BM.The main patient, tumor and treatment characteristics were prospectively collected and retrospectively analyzed.The ROC curve was computed for CITV and used to define the cut-off values according to the Youden's index (YI).The multivariate analysis was performed using a Cox proportional hazard model.The predictive discrimination powers of each prognostic model were compared through the Harrel c-index (HCI) computation.
Results: The median marginal prescription dose was 25.0 Gy and the isodose ranged between 40% and 60%.The mean CITV was 4.7 cc (median:2.5 cc), and, according to the ROC curve, the CITV cut-off points were set at 1.5 (sens:0.72;spec:0.42;YI:0.14) and 4.0 cc (sens:0.46;spec:0.71;YI:0.17).Thereafter, based on the multivariate analysis, we build the CITVPA model, including: age (O.R.:1.010,95%C.I.:1.005-1.015,p< 0.001), KPS (O.R.:0.960,95%C.I.:0.956-0.965,p< 0.001), presence of extracranial metastases (O.R.:1.287,95%C.I.:1.154-1.437,p< 0.001), BM number (O.R.:1.193,95%C.I.:1.047-1.360,p= 0.008), and CITV (O.R.:1.028,95%C.I.:1.020-1.036,p< 0.001).A score of 0, 0.5 or 1 was attributed to each prognostic factor: age (< 50,50-59,≥ 60 years), KPS (≥ 90,70-80,≤ 60), presence of extracranial metastases (absent,present), BM number (single,multiple) and CITV (≤ 1.5,1.51-3.99,≥ 4.0cc).Subsequently, a global CITVPA score ranging from 0 to 5 was assigned to each patient, with higher results corresponding to the worst outcomes.Then, we evaluated the predictivity of each CITVPA class inside its model with a Cox analysis, and we found relevant differences between each prognostic group (p< 0.001).Finally, we compared the CITVPA to other models and we obtained that the CITVPA (HCI=0.64) exhibited the highest discriminative power (p< 0.001) compared to RPA (HCI=0.55), SIR (HCI=0.55) and GPA (HCI=0.61).
Conclusions: The CITVPA displays the highest predictive worth for patients affected by BM and guarantees simple applicability in clinical practice.
Code of conduct/disclaimer available in General Terms & Conditions
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.

Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.

Google Analytics is used for user behavior tracking/reporting. Google Analytics works in parallel and independently from MLG’s features. Google Analytics relies on cookies and these cookies can be used by Google to track users across different platforms/services.

Save Settings