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Purpose Firefighting is known to be carcinogenic to humans. However, current lung cancer screening guidelines do not account for occupational exposure. We hypothesize that firefighting is an independent risk factor associated with the development of high-risk lung nodules on low-dose CT (LDCT). Methods Members of a firefighter’s union underwent LDCT at a single institution between April 2022 and June 2023 within a lung cancer screening program. Results were interpreted by designated chest radiologists and reported using the Lung-RADS scoring system. Demographic and radiographic data were recorded , and summary statistics are reported. Results 1347 individuals underwent lung cancer screening, with a median age of 51 years (IQR 42–58), including 56 (4.2%) females. Overall, 899 (66.7%) were never smokers, 345 (25.6%) were former smokers, and 103 (7.7%) were current smokers. There were 41 firefighters (3.0%) who had high-risk (Lung-RADS 3 or 4) nodules requiring intervention or surveillance, of which 21 (1.5%) were Lung-RADS 3 and 20 (1.5%) that were Lung-RADS 4. Of the firefighters with high-risk nodules, only 6 (14.6%) were eligible for LDCT based on current screening guidelines. There were 7 high-risk nodules (0.5%) that required procedural intervention, 6 (85.7%) of which were from the non-screening eligible cohort. There were also 20 never-smoking firefighters (57.1%) with high-risk nodules that were non-screening eligible. Conclusion Firefighting, even in the absence of smoking history, may be associated with the development of high-risk lung nodules on LDCT. Carefully selected occupational exposures should be considered in the development of future lung cancer screening guidelines.

Aortic dissection is a critical condition characterized by an intimal tear in the aortic wall, leading to the formation of a false lumen. We present a case of a 54-year-old male with chronic type B aortic dissection and hypertension who presented with acute tearing left back pain. Initial evaluation revealed elevated blood pressure and subtle laboratory abnormalities. Imaging confirmed a Stanford type B aortic dissection with an intramural hematoma and contained rupture of the false lumen. Despite initial stabilization efforts, the patient deteriorated rapidly and succumbed. This case highlights the critical importance of early diagnosis.

Lung cancer continues to be a major worldwide health issue, with more than 50% of patients having incurable metastatic disease at diagnosis. Fortunately, the advanced lung cancer treatment landscape is changing rapidly as a result of the positive impact of effective inhibitors of tumor driver mutations, and the more recent discovery that immune modulation with anti-PD-1/PD-L1 monoclonal antibodies results in tumor regression and prolonged survival. While a relatively small subset of lung cancer patients are candidates for inhibitors of driver mutations, the majority of advanced lung cancer patients are candidates for an immunotherapy regimen. Many of these patients have cachexia, which is associated with increased cancer therapy toxicity and possibly reduced responsiveness to immunotherapy. Two ongoing cachexia trials, one testing a ghrelin analogue and the other testing a multimodal strategy, have endpoints which assess clinical benefit—weight gain and relief of anorexia/cachexia symptoms. Provided that the trial objectives are achieved, these treatment strategies will provide a way to relieve suffering and distress for cachectic cancer patients. While awaiting the results of these trials, it would be reasonable to consider designing studies testing cachexia treatments combined with first-line immunotherapy and chemotherapy–immunotherapy in stage IV lung cancer patients, with enhanced overall survival being one of the endpoints.

Background The primary objective of this study was to assess the frequency of body composition increases and their relationships to changes in body weight in two cohorts of real world, treatment‐naïve, advanced non‐small cell lung cancer (NSCLC) patients. One cohort received the current standard of care (CSOC), which consisted of immunotherapy and newer chemotherapy regimens, and the other cohort was treated with the former standard of care (FSOC), consisting only of older platinum‐containing regimens. Methods CSOC (n = 106) and FSOC (n = 88) cohorts of advanced NSCLC patients were included in this study. Weights were collected at each clinical visit, and body composition analysis from routine chest computed tomography via automated segmentation software assessed at baseline and at 6 and 12 weeks. Standard statistical methods were used to calculate relationships between changes in weight and in body composition. Results The CSOC cohort contained 106 stage IV NSCLC patients treated between 16/12/2014 and 22/10/2020 while the FSOC cohort contained 88 stage III/IV NSCLC patients treated between 16/6/2006 and 18/11/2014. While each cohort exhibited decreases in median weight, body mass index (BMI), mean skeletal muscle index (SMI) and subcutaneous adipose tissue index (SATI) at the 6 and 12 week time points, a subset of patients experienced increases in these parameters. Using a threshold of ≥2.5% increase for weight, BMI, SMI, and SATI at the 12 week time point, both cohorts showed similar (20.5% and 27.3%) increases in these parameters. With a cut point of ≥5% increase at 12 weeks follow‐up, 8.0% to 25.0% of the patients gained ≥5% in weight, BMI, SMI and SATI. Comparing these results in each cohort showed no significant differences. Pearson coefficients for weight change related to changes in SMI and SATI at 6 and 12 weeks ranged from 0.31 to 0.58 with all P values <0.02. Pearson coefficients for weight change at 12 weeks related to changes in VATI and IMATI ranged from 0.26 to 0.47 with all P values <0.05. Comparison of Pearson coefficients for each cohort showed no significant differences. Conclusions Although decreases in median weight, BMI, SMI and SATI were observed in both cohorts, similar percentage of patients in each cohort experienced increases in these parameters. These findings, plus the positive correlations between longitudinal measurements of weight, muscle mass and adipose tissue, indicate that weight gain in these patients involves increases in both muscle mass and adipose tissue. Upon validation, these findings could have implications for clinical trial design and for translational research in cancer cachexia.

Cancer cachexia is defined as a state of involuntary weight loss, attributed to altered body composition with muscle mass loss and/or loss of adiposity. Identifying the association between cancer cachexia and outcomes may pave the way for novel agents that target the cancer cachexia process. Clinical parameters for measurement of cancer cachexia are needed. We conducted a single-institution retrospective analysis that included 86 NHL patients with the aim of identifying an association between cancer cachexia and outcomes in aggressive lymphomas using the cachexia index (CXI) suggested by Jafri et al. (Clin Med Insights Oncol 9:87–93, 15 ). Impact of cachexia factors on progression-free survival (PFS) and overall survival (OS) were assessed using log-rank test and Cox proportional hazards regression. Patients were dichotomized around the median CXI into “non-cachectic” (CXI ≥49.8, n  = 41) and “cachectic” (CXI <49.8, n  = 40) groups. Cachectic patients had significantly worse PFS (HR 2.18, p  = 0.044) and OS (HR = 4.05, p  = 0.004) than non-cachectic patients. Cachexia as defined by the CXI is prognostic in aggressive lymphomas and implies that novel therapeutic strategies directed at reversing cachexia may improve survival in this population.

Pneumothorax is a potentially life-threatening condition that requires prompt recognition and often urgent intervention. In the ICU setting, large numbers of chest radiographs are performed and must be interpreted on a daily basis which may delay diagnosis of this entity. Development of artificial intelligence (AI) techniques to detect pneumothorax could help expedite detection as well as localize and potentially quantify pneumothorax. Open image analysis competitions are useful in advancing state-of-the art AI algorithms but generally require large expert annotated datasets. We have annotated and adjudicated a large dataset of chest radiographs to be made public with the goal of sparking innovation in this space. Because of the cumbersome and time-consuming nature of image labeling, we explored the value of using AI models to generate annotations for review. Utilization of this machine learning annotation (MLA) technique appeared to expedite our annotation process with relatively high sensitivity at the expense of specificity. Further research is required to confirm and better characterize the value of MLAs. Our adjudicated dataset is now available for public consumption in the form of a challenge.

Postoperative respiratory failure (PRF) is a serious complication associated with significant morbidity and mortality. We propose a new method to predict PRF by utilizing computed tomography (CT) of the chest to assess degree of respiratory muscle wasting prior to surgery. Patients who received a chest CT and required invasive mechanical ventilation (MV) after major non-cardiothoracic surgery were included. Exclusion criteria included cardiothoracic surgery. Respiratory muscle index (RMI) was calculated at the T6 vertebra measured on Slice-O-Matic® software. Thirty three patients met inclusion with a mean (±SD) age, BMI, and APACHE II score of 62.2 years (±12.1), 28.1 kg/m2 (±7.8), and 14.1 (±4.7). Most patients were female (n = 22 [67%]). Eleven patients (33%) developed PRF with a mean of 6.0 (±10.7) initial ventilation days. There was no difference in baseline demographics between groups. RMI values for the PRF group were significantly lower when compared to the non-PRF group: 22.7 cm2/m2 (±5.3) vs. 28.5 cm2/m2 (±5.9) (p = 0.008). Presence of respiratory muscle wasting prior to surgery was found to be associated with postoperative respiratory failure. •Postoperative respiratory failure is a common entity after major surgery.•Sarcopenia has been reported to be associated with high morbidity and mortality following surgery.•Novel application of respiratory muscle index to evaluate for postoperative outcomes.•Reduced respiratory muscle index at time of surgery was associated with development of postoperative respiratory failure.