Review Article Airway stenting for central airway obstruction: a review Bruce F. Sabath, Roberto F. Casal

Background: Computed tomography to body divergence (CTBD) is one of the main barriers to bronchoscopic techniques for the diagnosis of peripherally located lung nodules. Cone-beam CT (CBCT) guidance is being rapidly adopted to correct for this phenomenon and to potentially increase diagnostic outcomes. In this trial, we hypothesized that the addition of mobile CBCT (m-CBCT) could improve the rate of tool in lesion (TIL) and the diagnostic yield of shape-sensing robotic-assisted bronchoscopy (SS-RAB). Methods: This was a prospective, single-arm study, which enrolled patients with peripheral lung nodules of 1–3 cm and compared the rate of TIL and the diagnostic yield of SS-RAB alone and combined with mCBCT. Results: A total of 67 subjects were enrolled, the median nodule size was 1.7 cm (range, 0.9–3 cm). TIL was achieved in 23 patients (34.3%) with SS-RAB alone, and 66 patients (98.6%) with the addition of mCBCT (p < 0.0001). The diagnostic yield of SS-RAB alone was 29.9% (95% CI, 29.3–42.3%) and it was 86.6% (95% CI, 76–93.7%) with the addition of mCBCT (p < 0.0001). There were no pneumothoraxes or any bronchoscopy-related complications, and the median total dose–area product (DAP) was 50.5 Gy-cm². Conclusions: The addition of mCBCT guidance to SS-RAB allows bronchoscopists to compensate for CTBD, leading to an increase in TIL and diagnostic yield, with acceptable radiation exposure.

Atelectasis during bronchoscopy under general anesthesia is very common and can have a detrimental effect on navigational and diagnostic outcomes. While the intraprocedural incidence and anatomic location have been previously described, the severity of atelectasis has not. We reviewed chest CT images of patients who developed atelectasis in the VESPA trial (Ventilatory Strategy to Prevent Atelectasis). By drawing boundaries at the posterior chest wall (A), the anterior aspect of the vertebral body (C), and mid-way between these two lines (B), we delineated at-risk lung zones 1, 2, and 3 (from posterior to anterior). An Atelectasis Severity Score System (“ASSESS”) was created, classifying atelectasis as “mild” (zone 1), “moderate” (zones 1–2), and “severe” (zones 1–2–3). A total of 43 patients who developed atelectasis were included in this study. A total of 32 patients were in the control arm, and 11 were in the VESPA arm; 20 patients (47%) had mild atelectasis, 20 (47%) had moderate atelectasis, and 3 (6%) had severe atelectasis. A higher BMI was associated with increased odds (1.5 per 1 unit change; 95% CI, 1.10–2.04) (p = 0.0098), and VESPA was associated with decreased odds (0.05; 95% CI, 0.01–0.47) (p = 0.0080) of developing moderate to severe atelectasis. ASSESS is a simple method used to categorize intra-bronchoscopy atelectasis, which allows for a qualitative description of this phenomenon to be developed. In the VESPA trial, a higher BMI was not only associated with increased incidence but also increased severity of atelectasis, while VESPA had the opposite effect. Preventive strategies should be strongly considered in patients with risk factors for atelectasis who have lesions located in zones 1 and 2, but not in zone 3.

Facing an unprecedented surge of patient volumes and acuity, institutions around the globe called for volunteer healthcare workers to aid in the effort against COVID-19. Specifically being sought out are retirees. But retired healthcare workers are taking on significant risk to themselves in answering these calls. Aside from the risks that come from being on the frontlines of the epidemic, they are also at risk due to their age and the comorbidities that often accompany age. If, for current or future COVID efforts, we as a society will be so bold as to exhort a vulnerable population to take on further risk, we must use much care and attention in how we involve them in this effort. Herein we describe the multifaceted nature of the risks that retired healthcare workers are taking by entering the COVID-19 workforce as well as suggest ways in which we might take advantage of their medical skills and altruism yet while optimizing caution and safety.

Chronic Pleuritis and Recurrent Pleural Effusion After Atezolizumab for Small Cell Lung Cancer - Article abstract #933396

Lung cancer, a major global cause of cancer-related deaths, demands continual advancements in diagnostic methodologies. This review delves into the transformative role of Robotic-Assisted Bronchoscopy (RAB) in redefining lung cancer diagnostics. As lung cancer screenings intensify, leading to a surge in pulmonary nodule diagnoses, navigational bronchoscopy, notably electromagnetic navigational bronchoscopy (ENB), faces persistent limitations. Examining key RAB platforms—Monarch™, Ion™ and the Galaxy System™—reveals their distinctive features, with RAB demonstrating superior diagnostic yields over traditional biopsy methods. However, challenges include CT-to-body divergence (CBCT) and divergent findings in diagnostic yield studies and a lack of head-to-head comparisons with non-RAB modalities. Future directions should explore RAB’s potential therapeutic applications, shaping the landscape of both diagnostics and therapeutics in lung cancer management.