Multi-center planning study of radiosurgery for intracranial metastases through Automation (MC-PRIMA) by crowdsourcing prior web-based plan challenge study
Standard
Multi-center planning study of radiosurgery for intracranial metastases through Automation (MC-PRIMA) by crowdsourcing prior web-based plan challenge study. / Chan, M.K.H.; Gevaert, T.; Kadoya, N.; Dorr, J.; Leung, R.; Alheet, S.; Toutaoui, A.; Farias, R.; Wong, M.; Skourou, C.; Valenti, M.; Farré, I.; Otero-Martínez, C.; O'Doherty, D.; Waldron, J.; Hanvey, S.; Grohmann, M.; Liu, H.
in: PHYS MEDICA, Jahrgang 95, 2022, S. 73-82.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Multi-center planning study of radiosurgery for intracranial metastases through Automation (MC-PRIMA) by crowdsourcing prior web-based plan challenge study
AU - Chan, M.K.H.
AU - Gevaert, T.
AU - Kadoya, N.
AU - Dorr, J.
AU - Leung, R.
AU - Alheet, S.
AU - Toutaoui, A.
AU - Farias, R.
AU - Wong, M.
AU - Skourou, C.
AU - Valenti, M.
AU - Farré, I.
AU - Otero-Martínez, C.
AU - O'Doherty, D.
AU - Waldron, J.
AU - Hanvey, S.
AU - Grohmann, M.
AU - Liu, H.
PY - 2022
Y1 - 2022
N2 - Background Planning radiosurgery to multiple intracranial metastases is complex and shows large variability in dosimetric quality among planners and treatment planning systems (TPS). This project aimed to determine whether autoplanning using the Muliple Brain Mets (AutoMBM) software can improve plan quality and reduce inter-planner variability by crowdsourcing results from prior international planning study. Methods Twenty-four institutions autoplanned with AutoMBM on a five metastases case from a prior international planning competition from which population statistics (means and variances) of 23 dosimetric metrics and resulting composite plan score (maximum score = 150) of other TPS (Eclipse, Monaco, RayStation, iPlan, GammaPlan, MultiPlan) were crowdsourced. Plan results of AutoMBM and each of the other TPS were compared using two sample t-tests for means and Levene’s tests for variances. Plan quality of AutoMBM was correlated with the planner’ experience and compared between academic and non-academic centers. Results AutoMBM produced plans with comparable composite plan score to GammaPlan, MultiPlan, Eclipse and iPlan (127.6 vs. 131.7 vs. 127.3 vs. 127.3 and 126.7; all p > 0.05) and superior to Monaco and RayStation (118.3 and 108.6; both p 0.05). Conclusions By plan crowdsourcing prior international plan challenge, AutoMBM produces high and consistent plan quality independent of the planning experience and the institution that is crucial to addressing the technical bottleneck of SRS to intracranial metastases.
AB - Background Planning radiosurgery to multiple intracranial metastases is complex and shows large variability in dosimetric quality among planners and treatment planning systems (TPS). This project aimed to determine whether autoplanning using the Muliple Brain Mets (AutoMBM) software can improve plan quality and reduce inter-planner variability by crowdsourcing results from prior international planning study. Methods Twenty-four institutions autoplanned with AutoMBM on a five metastases case from a prior international planning competition from which population statistics (means and variances) of 23 dosimetric metrics and resulting composite plan score (maximum score = 150) of other TPS (Eclipse, Monaco, RayStation, iPlan, GammaPlan, MultiPlan) were crowdsourced. Plan results of AutoMBM and each of the other TPS were compared using two sample t-tests for means and Levene’s tests for variances. Plan quality of AutoMBM was correlated with the planner’ experience and compared between academic and non-academic centers. Results AutoMBM produced plans with comparable composite plan score to GammaPlan, MultiPlan, Eclipse and iPlan (127.6 vs. 131.7 vs. 127.3 vs. 127.3 and 126.7; all p > 0.05) and superior to Monaco and RayStation (118.3 and 108.6; both p 0.05). Conclusions By plan crowdsourcing prior international plan challenge, AutoMBM produces high and consistent plan quality independent of the planning experience and the institution that is crucial to addressing the technical bottleneck of SRS to intracranial metastases.
KW - Plan crowdsourcing
KW - Autoplanning
KW - Stereotactic radiosurgery
KW - Multiple brain metastases
U2 - 10.1016/j.ejmp.2022.01.011
DO - 10.1016/j.ejmp.2022.01.011
M3 - SCORING: Zeitschriftenaufsatz
VL - 95
SP - 73
EP - 82
JO - PHYS MEDICA
JF - PHYS MEDICA
SN - 1120-1797
ER -