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Objective: Robotic thoracic surgery provides another minimally invasive approach in addition to video-assisted thoracoscopic surgery (VATS) that yields less pain and faster recovery compared with open surgery. However, robotic incisions are generally placed more inferiorly, which may increase the risk of intercostal nerve injury that affects the abdominal wall. We hypothesized that a robotic approach causes greater ipsilateral rectus muscle atrophy compared with open and VATS approaches. Methods: The cross-sectional area and density of bilateral rectus abdominis muscles were measured on computed tomography scans in patients who underwent lobectomy in 2018. The differences between the contralateral and ipsilateral muscles were compared between preoperative and 6-month surveillance scans. Changes were compared among the open, VATS, and robotic approaches through a mixed effects model after adjustments of correlation and covariates. Results: Of 99 lobectomies, 25 (25.3%) were open, 56 (56.6%) VATS, and 18 (18.1%) robotic. The difference between the contralateral and ipsilateral rectus muscle cross-sectional area was significantly larger at 6 months after robotic surgery compared with open (31.4% vs 9.5%, P = .049) and VATS (31.4% vs 14.1%, P = .021). There were no significant differences in the cross-sectional area between the open and VATS approach. Conclusions: In this retrospective analysis, there was greater ipsilateral rectus muscle atrophy associated with robotic thoracic surgery compared with open or VATS approaches. These findings should be correlated with clinical symptoms and followed to assess for resolution or persistence.

Abstract Background We aim to develop and test performance of a semi-automated method (computerized query combined with manual review) for chart abstraction in the identification and characterization of surveillance radiology imaging for post-treatment non-small cell lung cancer patients. Methods A gold standard dataset consisting of 3011 radiology reports from 361 lung cancer patients treated at the Veterans Health Administration from 2008 to 2016 was manually created by an abstractor coding image type, image indication, and image findings. Computerized queries using a text search tool were performed to code reports. The primary endpoint of query performance was evaluated by sensitivity, positive predictive value (PPV), and F1 score. The secondary endpoint of efficiency compared semi-automated abstraction time to manual abstraction time using a separate dataset and the Wilcoxon rank-sum test. Results Query for image type demonstrated the highest sensitivity of 85%, PPV 95%, and F1 score 0.90. Query for image indication demonstrated sensitivity 72%, PPV 70%, and F1 score 0.71. The image findings queries ranged from sensitivity 75–85%, PPV 23–25%, and F1 score 0.36–0.37. Semi-automated abstraction with our best performing query (image type) improved abstraction times by 68% per patient compared to manual abstraction alone (from median 21.5 min (interquartile range 16.0) to 6.9 min (interquartile range 9.5), p