Size-Stratified Dosimetric Impact of Gamma Knife Lightning Inverse Planning for Brain Metastases in Real-World Practice



Abstract

Objectives: To compare the real-world dosimetric parameters of Gamma Knife radiosurgery plans for brain metastases before and after the adoption of Lightning inverse planning, with results stratified by lesion size.

Methods: We conducted a retrospective cohort study at a single high-volume Gamma Knife center, analyzing consecutive intact brain metastases from lung or breast primaries treated between 2020 and 2024. Postoperative cavities were excluded. Lesions were categorized as 'pre-Lightning' (treated before January 1, 2022, prior to Lightning inverse planning integration) or 'Lightning-era' (treated on/after January 1, 2022, following integration). Key dosimetric data—including tumor volume, coverage (conformity), selectivity, gradient index (GI), prescription isodose level, and beam-on time (BOT)—were extracted from all plans. Lesions were stratified by volume: small ( < 1 cc), medium (1–4 cc), and large (>4 cc). Statistical comparisons were then performed to assess differences in these parameters between the pre-Lightning and Lightning-era cohorts.

Results: We identified 640 brain metastases (pre-Lightning: 362; Lightning: 278) with comparable size distributions between cohorts (small: 281 vs 209; medium: 53 vs 50; large: 28 vs 22).

Overall (across all lesions), Lightning plans demonstrated significantly higher selectivity (0.570 vs 0.510; p< 0.001) and gradient index (GI) (4.38 vs 3.55; p< 0.001), with an increased mean prescription isodose level (70% vs 60%; p< 0.001). Coverage remained very high and similar (0.995 vs 0.990; p=0.057), while beam-on time (BOT) trended longer post-Lightning (20.22 vs 18.10 min; p=0.131).

When stratified by size:

Small lesions ( < 1 cc): Showed higher GI (4.9 vs 3.7; p< 0.001), selectivity (0.503 vs 0.455; p< 0.001), and prescription isodose levels (74% vs 62%; p< 0.001) post-Lightning. Treatment time also significantly increased (16.1 vs 12.1 minutes; p=0.018).

Medium lesions (1–4 cc): Demonstrated improved selectivity (0.615 vs 0.562; p=0.012) and a modest increase in GI (4.21 vs 3.78; p=0.041), with consistently high coverage (0.995 vs 0.993; p=0.42). Prescription isodose levels were higher (p < 0.001), while BOT was not significantly different (21.0 vs 19.6 minutes; p=0.19).

Large lesions (>4 cc): Exhibited increased selectivity (0.712 vs 0.658; p=0.010) with very high and similar coverage (0.992 vs 0.988; p=0.11). GI (4.02 vs 3.86; p=0.27), prescription isodose levels (p=0.12), and BOT (28.3 vs 27.5 minutes; p=0.61) showed no significant difference.

Conclusion(s): In routine clinical use, Lightning adoption was associated with a size-dependent pattern. For medium/large lesions, plans demonstrated improved selectivity without worsening GI or prolonging treatment time, supporting its integration for these sizes. For small lesions ( < 1 cc), however, provider-selected plans shifted toward higher isodose prescriptions and greater selectivity (indicating less high-dose exposure to normal brain). This came with a trade-off of higher GI (implying larger volumes of normal tissue received 50% of the prescription dose) and longer BOT, consistent with provider choices prioritizing conformity and prescription strategy. Coverage remained consistently high across eras. These findings underscore that real-world outcomes reflect provider-driven plan selection and optimization priorities. The clinical impact of this trade-off in small lesions—particularly regarding local control and radiation toxicity—requires prospective evaluation and longer-term follow-up.

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Size-Stratified Dosimetric Impact of Gamma Knife Lightning Inverse Planning for Brain Metastases in Real-World Practice


Author Information

John Starner Corresponding Author

Radiation Oncology, Northwell Health, New Hyde park, USA

Desmond K. Yeoh

Otolaryngology, Northwell Health, Flushing, USA

Jason Lima

Medical Physics, Northwell Health, Lake Success, USA

Emel Calugaru

Radiation Medicine, Northwell Health, Lake Success, USA

Michael Schulder

Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, New York City, USA

Anuj Goenka

Radiation Medicine, Northwell Health, New York, USA


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