Publications by authors named "Nara Halm"
There is no standardization in methods to assess sarcopenia; in particular the prognostic significance of muscular fatty infiltration in lung cancer patients undergoing surgery has not been evaluated so far. We thus performed several computed tomography (CT)-based morphometric measurements of sarcopenia in 238 consecutive non-small cell lung-cancer patients undergoing pneumonectomy from 1 January 2007 to 31 December 2015. Sarcopenia was assessed by the following CT-based parameters: cross-sectional total psoas area (TPA), cross-sectional total muscle area (TMA), and total parietal muscle area (TPMA), defined as TMA without TPA.
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- COVID-19, which surfaced in 2019, spread quickly around the globe, and CT imaging is crucial for screening, quantifying, and staging the disease.
- Effective staging is necessary for healthcare management, such as planning for ICU beds and enhancing drug development through quick assessments.
- This study explored the use of medical imaging and AI to improve disease quantification and patient outcomes, demonstrating promising results through automated deep learning methods and combining imaging data with clinical information.
Objectives: Sarcopenia is associated with poor outcome in cancer-patients. However, the methods to define sarcopenia are not entirely standardized. We compared several morphometric measurements of sarcopenia and their prognostic value in short-term-outcome prediction after pneumonectomy.
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