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2023
DOI: 10.3390/cancers16010013
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Treatment Optimization in Linac-Based SBRT for Localized Prostate Cancer: A Single-Arc versus Dual-Arc Plan Comparison

Denis Panizza,
Valeria Faccenda,
Stefano Arcangeli
et al.

Abstract: This study aimed to comprehensively present data on treatment optimization in linac-based SBRT for localized prostate cancer at a single institution. Moreover, the dosimetric quality and treatment efficiency of single-arc (SA) versus dual-arc (DA) VMAT planning and delivery approaches were compared. Re-optimization was performed on twenty low-to-intermediate-risk- (36.25 Gy in 5 fractions) and twenty high-risk (42.7 Gy in 7 fractions) prostate plans initially administered with the DA FFF-VMAT technique in 2021… Show more

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Cited by 2 publications
(2 citation statements)
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References 42 publications
(58 reference statements)
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“…In our work, despite a higher fraction dose (8 Gy), we achieved a lower mean BOT (1.3 min) using 10 MV FFF SA. Moreover, differently from [36] we obtained a larger reduction of delivery time (up to more than half) while maintaining the same plan quality and complexity. The reason of these discrepancies is probably related to the different degree of complexity in SA and DA plans between the two studies.…”
Section: Discussionmentioning
confidence: 80%
See 1 more Smart Citation
“…In our work, despite a higher fraction dose (8 Gy), we achieved a lower mean BOT (1.3 min) using 10 MV FFF SA. Moreover, differently from [36] we obtained a larger reduction of delivery time (up to more than half) while maintaining the same plan quality and complexity. The reason of these discrepancies is probably related to the different degree of complexity in SA and DA plans between the two studies.…”
Section: Discussionmentioning
confidence: 80%
“…The same authors, in a very recent retrospective study [36] re-planned DA treatments with single partial arcs (300° length) achieving a mean delivery time of 1.5 min, delivering 7.25 and 6.1 Gy/fraction and using 10 MV FFF. With increased planning and clinical experience, Panizza et al [36] obtained higher quality SA plans increasing plan complexity while reducing the delivery time by 22 %.…”
Section: Discussionmentioning
confidence: 99%