Stijn Vanstraelen, Kay See Tan, Prasad S Adusumilli, Manjit S Bains, Matthew J Bott, Robert J Downey, Daniel R Gomez, Katherine D Gray, James Huang, James M Isbell, Daniela Molena, Bernard J Park, Andreas Rimner, Valerie W Rusch, Narek Shaverdian, Smita Sihag, Abraham J Wu, David R Jones, Gaetano Rocco
{"title":"Real-world Decision-making Process for Stereotactic Body Radiotherapy Versus Minimally Invasive Surgery in Early-stage Lung Cancer Patients.","authors":"Stijn Vanstraelen, Kay See Tan, Prasad S Adusumilli, Manjit S Bains, Matthew J Bott, Robert J Downey, Daniel R Gomez, Katherine D Gray, James Huang, James M Isbell, Daniela Molena, Bernard J Park, Andreas Rimner, Valerie W Rusch, Narek Shaverdian, Smita Sihag, Abraham J Wu, David R Jones, Gaetano Rocco","doi":"10.1097/SLA.0000000000006552","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To generate a prediction model for selection of treatment modality for early-stage non-small cell lung cancer (NSCLC).</p><p><strong>Summary background data: </strong>Stereotactic body radiotherapy (SBRT) and minimally invasive surgery (MIS) are used in the local treatment of early-stage NSCLC. However, selection of patients for either SBRT or MIS remains challenging, due to the multitude of factors influencing the decision-making process.</p><p><strong>Methods: </strong>We analyzed 1291 patients with clinical stage I NSCLC treated with intended MIS or SBRT from January 2020 to July 2023. A prediction model for selection for SBRT was created based on multivariable logistic regression analysis. The receiver operating characteristic curve analysis stratified the cohort into 3 treatment-related risk categories. Post-procedural outcomes, recurrence and overall survival (OS) were investigated to assess the performance of the model.</p><p><strong>Results: </strong>In total, 1116 patients underwent MIS and 175 SBRT. The prediction model included age, performance status, previous pulmonary resection, MSK-Frailty score, FEV1 and DLCO, and demonstrated an area-under-the-curve of 0.908 (95%CI, 0.876-0.938). Based on the probability scores (n=1197), patients were stratified into a low-risk (MIS, n=970 and SBRT, n=28), intermediate-risk (MIS, n=96 and SBRT, n=53) and high-risk category (MIS, n=10 and SBRT, n=40). Treatment modality was not associated with OS (HR of SBRT, 1.67 [95%CI: 0.80-3.48]; P=0.20).</p><p><strong>Conclusion: </strong>Clinical expertise can be translated into a robust predictive model, guiding the selection of stage I NSCLC patients for MIS versus SBRT and effectively categorizing them into three distinct risk groups. Patients in the intermediate category could benefit most from multidisciplinary evaluation.</p>","PeriodicalId":8017,"journal":{"name":"Annals of surgery","volume":" ","pages":""},"PeriodicalIF":7.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/SLA.0000000000006552","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To generate a prediction model for selection of treatment modality for early-stage non-small cell lung cancer (NSCLC).
Summary background data: Stereotactic body radiotherapy (SBRT) and minimally invasive surgery (MIS) are used in the local treatment of early-stage NSCLC. However, selection of patients for either SBRT or MIS remains challenging, due to the multitude of factors influencing the decision-making process.
Methods: We analyzed 1291 patients with clinical stage I NSCLC treated with intended MIS or SBRT from January 2020 to July 2023. A prediction model for selection for SBRT was created based on multivariable logistic regression analysis. The receiver operating characteristic curve analysis stratified the cohort into 3 treatment-related risk categories. Post-procedural outcomes, recurrence and overall survival (OS) were investigated to assess the performance of the model.
Results: In total, 1116 patients underwent MIS and 175 SBRT. The prediction model included age, performance status, previous pulmonary resection, MSK-Frailty score, FEV1 and DLCO, and demonstrated an area-under-the-curve of 0.908 (95%CI, 0.876-0.938). Based on the probability scores (n=1197), patients were stratified into a low-risk (MIS, n=970 and SBRT, n=28), intermediate-risk (MIS, n=96 and SBRT, n=53) and high-risk category (MIS, n=10 and SBRT, n=40). Treatment modality was not associated with OS (HR of SBRT, 1.67 [95%CI: 0.80-3.48]; P=0.20).
Conclusion: Clinical expertise can be translated into a robust predictive model, guiding the selection of stage I NSCLC patients for MIS versus SBRT and effectively categorizing them into three distinct risk groups. Patients in the intermediate category could benefit most from multidisciplinary evaluation.
期刊介绍:
The Annals of Surgery is a renowned surgery journal, recognized globally for its extensive scholarly references. It serves as a valuable resource for the international medical community by disseminating knowledge regarding important developments in surgical science and practice. Surgeons regularly turn to the Annals of Surgery to stay updated on innovative practices and techniques. The journal also offers special editorial features such as "Advances in Surgical Technique," offering timely coverage of ongoing clinical issues. Additionally, the journal publishes monthly review articles that address the latest concerns in surgical practice.