ArticleJournal of thoracic disease2026
Superiority of single-photon emission computed tomography for predicting postoperative lung function after anatomical lung resection: a systematic review and meta-analysis.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- RoboticJournal of thoracic disease · 2026Article
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Accurate prediction of postoperative pulmonary function is crucial for surgical decision-making in patients undergoing anatomic lung resection for non-small cell lung cancer (NSCLC). Traditional assessment methods based on planar ventilation/perfusion (V/Q) scintigraphy or anatomical segment calculation (ASC) are limited by low spatial resolution and simplified assumptions of uniform segmental volume and contribution. The use of hybrid single-photon emission computed tomography/computed tomography (SPECT/CT) has emerged as a modern alternative for three-dimensional functional assessment, but its comparative accuracy remains uncertain. Therefore, this study aimed to compare the accuracy of SPECT/CT with planar V/Q scintigraphy and ASC in predicting postoperative pulmonary function after anatomic lung resection. Methods: We systematically searched PubMed, Embase, and the Cochrane Library through June 2025 for studies comparing SPECT/CT with conventional methods (planar V/Q scan or ASC) for predicting postoperative pulmonary function after anatomic lung resection. Eligible studies included adults with lung cancer reporting both predicted and observed postoperative forced expiratory volume in one second (FEV Results: Five studies comprising 424 patients met inclusion criteria. Across cohorts, mean age ranged from 66 to 68 years, and lobectomy represented the predominant type of surgical resection. SPECT/CT demonstrated the smallest bias and narrowest limits of agreement for both FEV Conclusions: In patients with NSCLC undergoing anatomic lung resection, preoperative SPECT/CT provides the most accurate prediction of postoperative FEV
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