Initial sarcopenia and body composition changes as prognostic factors in cervical cancer patients treated with concurrent chemoradiation: An artificial intelligence-based volumetric study.
Hyunji LimSe Ik KimMin Kyung KimSoon Ho YoonMaria LeeDong Hoon SuhHee Seung KimKidong KimJae Hong NoHyun Hoon ChungYong Beom KimNoh Hyun ParkJae-Weon KimPublished in: Gynecologic oncology (2024)
Among patients with cervical cancer undergoing CCRT, initial volumetric sarcopenia and fat loss during treatment are survival risk factors. These findings suggest the potential importance of personalized supportive care, including tailored nutrition and exercise interventions.
Keyphrases
- body composition
- artificial intelligence
- prognostic factors
- resistance training
- physical activity
- risk factors
- machine learning
- big data
- bone mineral density
- deep learning
- skeletal muscle
- locally advanced
- healthcare
- palliative care
- rectal cancer
- adipose tissue
- high intensity
- community dwelling
- squamous cell carcinoma
- fatty acid
- free survival
- postmenopausal women
- climate change