Thoracic Oncology
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Link between viral pneumonia, lung cancer risk underlies importance of vaccination against respiratory infections
New data add weight to the case for protecting against respiratory viruses as part of lung cancer prevention.
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Future directions of thoracic ultrasonography in the management of pleural effusions
There is potential to reduce reliance on CT imaging and patient radiation exposure, decrease the need for invasive diagnostic procedures, and enhance diagnostic precision.
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Psilocybin-assisted therapy bests nicotine patch for smoking cessation in pilot study
At six months following the target quit date, 40.5% of participants in the psilocybin group achieved biochemically verified prolonged abstinence compared with only 10.0% in the nicotine patch group.
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When less is more: Ultrasound’s role in deresuscitation
Certain bedside ultrasound techniques may help guide fluid deresuscitation in septic shock by identifying pulmonary and venous congestion in real time.
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Real-world data show adherence to nodal dissection standard improves detection of lymph node involvement in patients with NSCLC
Increased lymph node analysis was associated with a 2.1% absolute increase in pathologic nodal upstaging, according to recent research.
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Text-message program may aid smoking cessation in patients with TB
A recent trial highlights the impact of a mobile health-based initiative to aid in smoking cessation within TB treatment programs, said author Maham Zahid, PhD.
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Lung cancer survivorship: Life beyond diagnosis, treatment, and rechecks
It is no longer enough to “survive” lung cancer; our responsibility as pulmonologists is to help survivors persevere beyond it.
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Definitions matter: How should we define diagnostic yield in bronchoscopy?
A recent consensus statement from CHEST and the American Thoracic Society proposes a strict diagnostic yield definition, reiterating the need for close follow-up in patients with nonspecific benign findings.
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AI-enabled approaches poised to transform diagnosis, management of lung diseases
Experts explore how AI-based tools can be used to bridge diagnostic challenges and address unmet needs in chronic respiratory disease care.
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Establishing an outpatient pleural disease clinic
A thoracentesis clinic that offers direct, same-day outpatient care for pleural effusions enables nurse practitioners to perform both diagnostic and therapeutic procedures, speed up treatment, and quickly relieve patient symptoms.
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AI tools like Sybil poised to improve lung cancer screening, risk prediction
The Sybil model has shown promising results in predicting lung cancer risk in diverse populations from a single CT scan, which could address gaps and disparities in current screening guidelines.
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AI applications in pulmonary medicine: From training clinicians to transforming diagnostics and treatment
AI applications in health care are multiplying, and AI-focused research is gaining traction across specialties, including pulmonary, critical care, and sleep medicine.
