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INTRODUCTION: Electronic nose (E-nose) technology has reported excellent sensitivity and specificity in the setting of lung cancer screening. However, the performance of E-nose specifically for early-stage tumors remains unclear. Therefore, the aim of our study was to assess the diagnostic performance of E-nose technology in clinical stage I lung cancer. METHODS: This phase IIc trial (NCT04734145) included patients diagnosed with a single greater than or equal to 50% solid stage I nodule. Exhalates were prospectively collected from January 2020 to August 2023. Blinded bioengineers analyzed the exhalates, using E-nose technology to determine the probability of malignancy. Patients were stratified into three risk groups (low-risk, [<0.2]; moderate-risk, [≥0.2-0.7]; high-risk, [≥0.7]). The primary outcome was the diagnostic performance of E-nose versus histopathology (accuracy and F1 score). The secondary outcome was the clinical performance of the E-nose versus clinicoradiological prediction models. RESULTS: Based on the predefined cutoff (<0.20), E-nose agreed with histopathologic results in 86% of cases, achieving an F1 score of 92.5%, based on 86 true positives, two false negatives, and 12 false positives (n = 100). E-nose would refer fewer patients with malignant nodules to observation (low-risk: 2 versus 9 and 11, respectively; p = 0.028 and p = 0.011) than would the Swensen and Brock models and more patients with malignant nodules to treatment without biopsy (high-risk: 27 versus 19 and 6, respectively; p = 0.057 and p < 0.001). CONCLUSIONS: In the setting of clinical stage I lung cancer, E-nose agrees well with histopathology. Accordingly, E-nose technology can be used in addition to imaging or as part of a "multiomics" platform.
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OBJECTIVE: Pretreatment-predicted postoperative diffusing capacity of the lung for carbon monoxide (DLCO) has been associated with operative mortality in patients who receive induction therapy for resectable non-small cell lung cancer (NSCLC). It is unknown whether a reduction in pulmonary function after induction therapy and before surgery affects the risk of morbidity or mortality. We sought to determine the relationship between induction therapy and perioperative outcomes as a function of postinduction pulmonary status in patients who underwent surgical resection for NSCLC. METHODS: We retrospectively reviewed data for 1001 patients with pathologic stage I, II, or III NSCLC who received induction therapy before lung resection. Pulmonary function was defined according to American College of Surgeons Oncology Group major criteria: DLCO ≥50% = normal; DLCO <50% = impaired. Patients were categorized into 5 subgroups according to combined pre- and postinduction DLCO status: normal-normal, normal-impaired, impaired-normal, impaired-impaired, and preinduction only (without postinduction pulmonary function test measurements). Multivariable logistic regression was used to quantify the relationship between DLCO categories and dichotomous end points. RESULTS: In multivariable analysis, normal-impaired DLCO status was associated with an increased risk of respiratory complications (odds ratio, 2.29 [95% CI, 1.12-4.49]; P = .02) and in-hospital complications (odds ratio, 2.83 [95% CI, 1.55-5.26]; P < .001). Type of neoadjuvant therapy was not associated with an increased risk of complications, compared with conventional chemotherapy. CONCLUSIONS: Reduced postinduction DLCO might predict perioperative outcomes. The use of repeat pulmonary function testing might identify patients at higher risk of morbidity or mortality.
