Examination of Firefighting as an Occupational Exposure Criteria for Lung Cancer Screening.

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.

Case 287: Intrathoracic Migration of a Breast Implant after Video-assisted Thoracoscopic Surgery for Right Upper Lobectomy.

History A 60-year-old woman was diagnosed with a new right upper lobe stage I lung adenocarcinoma and underwent video-assisted thoracoscopic surgery (VATS) for right upper lobectomy. Her postoperative course was complicated by a large pneumothorax after chest tube removal on postoperative day 3. This was managed with repeat right-sided chest tube placement on the same day. The second chest tube was removed on postoperative day 8 without complications. A 2-week postoperative clinic visit was unremarkable. Postoperative chest radiographs on postoperative days 1, 3, and 8 are provided. Subsequently, chest CT scanning was performed as part of routine 6-month postsurgical lung cancer surveillance follow-up. The patient had no clinical complaints at routine follow-up. Physical examination revealed well-healed VATS scars in the chest wall. Laboratory results were within normal limits, including a normal white blood cell count of 6400/mL. Her surgical history included prior left upper lobectomy for remote left upper lobe stage IIIA adenocarcinoma and prior bilateral breast implantation for cosmesis. On the basis of chest CT findings, the patient was transferred from an outside institution.

Case 287.

History A 60-year-old woman was diagnosed with a new right upper lobe stage I lung adenocarcinoma and underwent video-assisted thoracoscopic surgery (VATS) for right upper lobectomy. Her postoperative course was complicated by a large pneumothorax after chest tube removal on postoperative day 3. This was managed with repeat right-sided chest tube placement on the same day. The second chest tube was removed on postoperative day 8 without complications. A 2-week postoperative clinic visit was unremarkable. Postoperative chest radiographs on postoperative days 1, 3, and 8 (Fig 1a-1c) are provided. Subsequently, chest CT scanning was performed as part of routine 6-month postsurgical lung cancer surveillance follow-up (Figs 2, 3). The patient had no clinical complaints at routine follow-up. Physical examination revealed well-healed VATS scars in the chest wall. Laboratory results were within normal limits, including a normal white blood cell count of 6400/µL. Her surgical history included prior left upper lobectomy for remote left upper lobe stage IIIA adenocarcinoma and prior bilateral breast implantation for cosmesis. On the basis of chest CT findings, the patient was transferred from an outside institution.

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.

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.

Evaluation of the impact of cachexia on clinical outcomes in aggressive lymphoma.

Cancer cachexia is a state of involuntary weight loss and altered body composition triggered by an underlying malignancy. We sought to correlate measures of cachexia with clinical outcomes in aggressive lymphomas and to identify biological pathways involved in the cachexia phenotype for possible druggable targets. Radiographic measures of cachexia were collected in a retrospective cohort of 109 patients with aggressive B-cell lymphoma and followed for clinical outcome. We found males with sarcopenia had reduced progression-free survival (5·4 vs. 72·3 months, P < 0·0005) and overall survival (OS; 30·2 months vs. not reached, NR, P = 0·02); males with adipopenia also had decreased OS (21·6 months vs. NR, P = 0·04). A trend for increased OS was observed in female sarcopenics only (32·8 months vs. NR, P = 0·08). Additionally, we analysed a prospective cohort of 14 patients for differences in circulating molecular targets involved in various biological pathways. There was a significant correlation with cachexia for reduced serum levels of mediators within the glucose utilization [insulin -like growth factor (IGF)-binding protein 6, P = 0·04; IGF-1, P = 0·02], inflammation (lymphotoxin-like inducible protein that competes with glycoprotein D for herpesvirus entry on T cells; LIGHT, P = 0·005), and energy intake/expenditure (leptin, P = 0·004). We conclude that cachexia in patients with aggressive lymphomas has sex-specific prognostic utility and correlates with measurable changes in metabolism and immune function.

Improved False-Positive Rates and the Overestimation of Unintended Harm from Lung Cancer Screening.

BACKGROUND: Concern over high false-positive rates and the potential for unintended harm to patients is a critical component of the lack of widespread adoption of lung cancer screening. METHODS: An institutional database was used to identify patients who underwent lung cancer screening between 2/2015 and 2/2018 at Rush University Medical Center and Rush Oak Park Hospital. Reads were executed by dedicated thoracic radiologists and communicated using the Lung Imaging Reporting and Data System (Lung-RADS V.1). RESULTS: Six hundred and four patients were screened over the study period. We identified 21 primary lung cancers and 8 incidental cancers. We identified a false-positive rate of 17.5%. Only 9 patients underwent further investigative workup for benign disease (5.3%); however, only 4 (2.9%) of those patients were found to have inflammatory or infectious lesions, which are common mimickers of lung cancer. Excluding Lung-RADS category 3 for the purpose of quantifying risk of unintended harm from unnecessary procedures, we found a 6.9% false-positive rate, while diagnosing 25% of all Lung-RADS category 4 patients with primary lung cancer. CONCLUSION: False-positive rates in lung cancer screening programs continue to decline with improved radiologic expertise. Additionally, false-positive reporting overestimates the risk of unintended harm from further investigative procedures as only a percentage of positive findings are generally considered for tissue diagnosis (i.e., Lung-RADS category 4).

Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer: A Primer for Radiologists.

The past 2 decades have seen a rapid growth in use of stereotactic body radiation therapy (SBRT) for the management of non-small cell lung cancer (NSCLC). Not only is SBRT the reference standard for treatment of early-stage node-negative NSCLC in medically inoperable patients, it is also currently challenging the role of surgery for early-stage operable disease. SBRT is also used to treat recurrent disease and has a role in the management of multiple synchronous lung cancers. Imaging changes after SBRT differ from the changes after conventional radiation therapy in many ways, the knowledge of which is pertinent for accurate image interpretation. Posttreatment response assessment and detection of recurrent disease are heavily reliant on radiologic assessment, and often the decision to treat recurrent disease is based on the imaging findings themselves. This article provides a comprehensive review of the concepts of SBRT and the current indications for its use in the treatment of early-stage NSCLC, as well as a discussion of the CT findings seen after SBRT compared with the changes after conventional radiation therapy. Radiologic findings that are suggestive of recurrent disease and the imaging pitfalls are also highlighted. Finally, the rare complications after SBRT are described. SBRT is a major component of the changing treatment paradigms for early- and late-stage NSCLC. The imaging findings after SBRT often determine the next steps in a patient's clinical management. Therefore, radiologists must be familiar with the uses of this therapy and its radiologic appearance to be able to effectively contribute to the care of patients with NSCLC. ©RSNA, 2018.

Impact of cachexia on outcomes in aggressive lymphomas.

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.

CT screening for lung cancer: value of expert review of initial baseline screenings.

OBJECTIVE. Appropriate radiologic interpretation of screening CT can minimize unnecessary workup and intervention. This is particularly challenging in the baseline round. We report on the quality assurance process we developed for the International Early Lung Cancer Action Program. MATERIALS AND METHODS. After initial training at the coordinating center, radiologists at 10 participating institutions and at the center independently interpreted the first 100 baseline screenings. The radiologist at the institutions had access to the center interpretations before issuing the final reports. After the first 100 screenings, the interpretations were jointly discussed. This report summarizes the results of the initial 100 dual interpretations at the 10 institutions. RESULTS. The final institution interpretations agreed with the center in 895 of the 1000 interpretations. Compared with the center, the frequency of positive results was higher at eight of the 10 institutions. The most frequent reason of discrepant interpretations was not following the protocol (n = 55) and the least frequent was not identifying a nodule (n = 3). CONCLUSION. The quality assurance process helped focus educational programs and provided an excellent vehicle for review of the protocol with participating physicians. It also suggests that the rate of positive results can be reduced by such measures.

A Case Report of Type B Aortic Dissection With Ruptured False Lumen.

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.

Frequency of weight and body composition increases in advanced non-small cell lung cancer patients during first line therapy.

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.

Respiratory Musculature Evaluated by Computed Tomography in the Setting of Prolonged Mechanical Ventilation.

BACKGROUND: Diaphragm atrophy has been observed in subjects who undergo invasive mechanical ventilation. We propose a new method to assess for respiratory muscle (RM) changes in subjects who undergo invasive mechanical ventilation by assessing for changes in respiratory muscles through computed tomography (CT). METHODS: A retrospective case series study was conducted on subjects who underwent invasive mechanical ventilation and received at least 2 chest CT scans during admission. Exclusion criteria included history of chronic mechanical ventilation dependence and neuromuscular disease. Respiratory muscle cross-sectional area (CSA) was measured at the T6 vertebrae. RESULTS: Fourteen subjects were included: mean (± SD) age, BMI, and admission APACHE II scores were 54.0 y (± 14.9), 32.6 kg/m2 (± 10.9), and 23.5 (± 6.0), respectively. Ten (71%) subjects were male. Mean length of time between CT chest scans was 7.5 d (± 3.3). Mean duration of invasive mechanical ventilation was 4.5 d (± 3.4). The percentage change in TM CSA among those who underwent invasive mechanical ventilation was 10.5% (± 6.1). CONCLUSIONS: We demonstrated that serial analysis of respiratory muscle CSA through CT chest scans can be a method to assess for respiratory muscle atrophy in subjects undergoing mechanical ventilation. Future prospective studies involving larger populations are needed to better understand how this method can be used to predict outcomes in mechanically ventilated patients.

Development of a Novel Circulating Autoantibody Biomarker Panel for the Identification of Patients with 'Actionable' Pulmonary Nodules.

Due to poor compliance and uptake of LDCT screening among high-risk populations, lung cancer is often diagnosed in advanced stages where treatment is rarely curative. Based upon the American College of Radiology's Lung Imaging and Reporting Data System (Lung-RADS) 80-90% of patients screened will have clinically "non-actionable" nodules (Lung-RADS 1 or 2), and those harboring larger, clinically "actionable" nodules (Lung-RADS 3 or 4) have a significantly greater risk of lung cancer. The development of a companion diagnostic method capable of identifying patients likely to have a clinically actionable nodule identified during LDCT is anticipated to improve accessibility and uptake of the paradigm and improve early detection rates. Using protein microarrays, we identified 501 circulating targets with differential immunoreactivities against cohorts characterized as possessing either actionable (n = 42) or non-actionable (n = 20) solid pulmonary nodules, per Lung-RADS guidelines. Quantitative assays were assembled on the Luminex platform for the 26 most promising targets. These assays were used to measure serum autoantibody levels in 841 patients, consisting of benign (BN; n = 101), early-stage non-small cell lung cancer (NSCLC; n = 245), other early-stage malignancies within the lung (n = 29), and individuals meeting United States Preventative Screening Task Force (USPSTF) screening inclusion criteria with both actionable (n = 87) and non-actionable radiologic findings (n = 379). These 841 patients were randomly split into three cohorts: Training, Validation 1, and Validation 2. Of the 26 candidate biomarkers tested, 17 differentiated patients with actionable nodules from those with non-actionable nodules. A random forest model consisting of six autoantibody (Annexin 2, DCD, MID1IP1, PNMA1, TAF10, ZNF696) biomarkers was developed to optimize our classification performance; it possessed a positive predictive value (PPV) of 61.4%/61.0% and negative predictive value (NPV) of 95.7%/83.9% against Validation cohorts 1 and 2, respectively. This panel may improve patient selection methods for lung cancer screening, serving to greatly reduce the futile screening rate while also improving accessibility to the paradigm for underserved populations.

Validation of skeletal muscle and adipose tissue measurements using a fully automated body composition analysis neural network versus a semi-automatic reference program with human correction in patients with lung cancer.

Rationale and objectives: To validate skeletal muscle and adipose tissues cross sectional area (CSA) and densities between a fully automated neural network (test program) and a semi-automated program requiring human correction (reference program) for lumbar 1 (L1) and lumbar 2 (L2) CT scans in patients with lung cancer. Materials and methods: Agreement between the reference and test programs was measured using Dice-similarity coefficient (DSC) and Bland-Altman plots with limits of agreement within 1.96 standard deviation. Results: A total of 49 L1 and 47 L2 images were analyzed from patients with lung cancer (mean age = 70.51 ± 9.48 years; mean BMI = 27.45 ± 6.06 kg/m2; 71% female, 55% self-identified as Black and 96% as non-Hispanic ethnicity). The DSC indicates excellent overlap (>0.944) or agreement between the two measurement methods for muscle, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) CSA and all tissue densities at L1 and L2. The DSC was lowest for intermuscular adipose tissue (IMAT) CSA at L1 (0.889) and L2 (0.919). Conclusion: The use of a fully automated neural network to analyze body composition at L1 and L2 in patients with lung cancer is valid for measuring skeletal muscle and adipose tissue CSA and densities when compared to a reference program. Further validation in a more diverse sample and in different disease and health states is warranted to increase the generalizability of the test program at L1 and L2.