Deep learning-quantified pectoralis muscle area, density and intramuscular fat percentage independently predicts mortality in pulmonary hypertension associated with chronic lung disease

Krit Dwivedi; Keenan Wells; Alireza Hokmabadi; Abdul G Hameed; Samer Alabed; Ahmed Maiter; Alexander M.K. Rothman; Athanasios F. Charalampopoulos; Charlie Elliot; Judith A. Hurdman; Robin Condliffe; Smitha Rajaram; Iain J. Armstrong; Neil Hamilton; Ellis Cerrone; Rebecca Burney; James Wild; David Gerard Kiely; Andrew Swift

doi:10.1016/j.rcro.2026.100582

Enriched recordOpen access

Deep learning-quantified pectoralis muscle area, density and intramuscular fat percentage independently predicts mortality in pulmonary hypertension associated with chronic lung disease

Krit Dwivedi, Keenan Wells, Alireza Hokmabadi, Abdul G Hameed, Samer Alabed, Ahmed Maiter, Alexander M.K. Rothman, Athanasios F. Charalampopoulos, Charlie Elliot, Judith A. Hurdman, Robin Condliffe, Smitha Rajaram, Iain J. Armstrong, Neil Hamilton, Ellis Cerrone, Rebecca Burney, James Wild, David Gerard Kiely, Andrew Swift

The Royal College of Radiologists Open

Deep learning-quantified pectoralis muscle area, density and intramuscular fat percentage independently predicts mortality in pulmonary hypertension associated with chronic lung disease

Referenced works

Cited by

External reference records

Additional external references