Comparative evaluation of outcomes amongst different radiosurgery management paradigms for patients with large brain metastasis

被引:4
作者
Kutuk, Tugce [1 ]
Zhang, Yanjia [2 ]
Akdemir, Eyub Yasar [1 ]
Yarlagadda, Sreenija [1 ]
Tolakanahalli, Ranjini [1 ,3 ]
Hall, Matthew D. [1 ,3 ]
La Rosa, Alonso [1 ]
Wieczorek, DJay J. [1 ,3 ]
Lee, Yongsook C. [1 ,3 ]
Press, Robert H. [1 ,3 ]
Appel, Haley [1 ]
McDermott, Michael W. [3 ,4 ]
Odia, Yazmin [3 ,5 ]
Ahluwalia, Manmeet S. [3 ,6 ]
Gutierrez, Alonso N. [1 ,3 ]
Mehta, Minesh P. [1 ,3 ]
Kotecha, Rupesh [1 ,3 ]
机构
[1] Baptist Hlth South Florida, Miami Canc Inst, Dept Radiat Oncol, 8900 N Kendall Dr, Miami, FL 33176 USA
[2] Baptist Hlth South Florida, TD Artificial Intelligence & Machine Learning, Miami, FL 33176 USA
[3] Florida Int Univ, Herbert Wertheim Coll Med, Miami, FL 33199 USA
[4] Baptist Hlth South Florida, Miami Neurosci Inst, Dept Neurosurg, Miami, FL USA
[5] Baptist Hlth South Florida, Miami Canc Inst, Dept Neuro Oncol, Miami, FL USA
[6] Baptist Hlth South Florida, Miami Canc Inst, Dept Med Oncol, Miami, FL USA
关键词
Stereotactic radiosurgery; Large brain metastasis; Local failure; Radiation necrosis; Machine-learning; PHASE-II TRIAL; NEUROFIBROMATOSIS TYPE-1;
D O I
10.1007/s11060-024-04706-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction This study compares four management paradigms for large brain metastasis (LMB): fractionated SRS (FSRS), staged SRS (SSRS), resection and postoperative-FSRS (postop-FSRS) or preoperative-SRS (preop-SRS). Methods Patients with LBM (>= 2 cm) between July 2017 and January 2022 at a single tertiary institution were evaluated. Primary endpoints were local failure (LF), radiation necrosis (RN), leptomeningeal disease (LMD), a composite of these variables, and distant intracranial failure (DIF). Gray's test compared cumulative incidence, treating death as a competing risk with a random survival forests (RSF) machine-learning model also used to evaluate the data. Results 183 patients were treated to 234 LBMs: 31.6% for postop-FSRS, 28.2% for SSRS, 20.1% for FSRS, and 20.1% for preop-SRS. The overall 1-year composite endpoint rates were comparable (21 vs 20%) between nonoperative and operative strategies, but 1-year RN rate was 8 vs 4% (p = 0.012), 1-year overall survival (OS) was 48 vs. 69% (p = 0.001), and 1-year LMD rate was 5 vs 10% (p = 0.052). There were differences in the 1-year RN rates (7% FSRS, 3% postop-FSRS, 5% preop-SRS, 10% SSRS, p = 0.037). With RSF analysis, the out-of-bag error rate for the composite endpoint was 47%, with identified top-risk factors including widespread extracranial disease, > 5 total lesions, and breast cancer histology. Conclusion This is the first study to conduct a head-to-head retrospective comparison of four SRS methods, addressing the lack of randomized data in LBM literature amongst treatment paradigms. Despite patient characteristic trends, no significant differences were found in LF, composite endpoint, and DIF rates between non-operative and operative approaches.
引用
收藏
页码:105 / 117
页数:13
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