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Body Composition Analysis Techniques and Its Application in Oncology: A Review.
Anil Kumar Maurya1,2, Lalit Mohan Aggarwal1, Sunil Choudhary1
1Department of Radiotherapy & Radiation Medicine, IMS, BHU, Varanasi, Uttar Pradesh, India.
Nutrition and Cancer
|May 17, 2024
Summary
Body composition analysis using CT scans can improve cancer care. Artificial intelligence can automate this process, offering rapid and objective assessments for better patient outcomes.
Area of Science:
- Oncology
- Medical Imaging
- Body Composition Analysis
Background:
- Growing interest in body composition for cancer treatment and survivorship.
- Muscle and adipose tissue distribution impact clinical outcomes like survival.
- Body mass index (BMI) inadequately assesses body composition and related health risks.
Purpose of the Study:
- To explore the utility of body composition measures in cancer care.
- To highlight the underutilization of body composition data from CT scans.
- To propose automated assessment for large-scale screening.
Main Methods:
- Utilizing existing abdominal CT scans for body composition analysis.
- Developing artificial intelligence (AI) algorithms for automated biometric measurements.
- Leveraging robust data within CT examinations.
Main Results:
- Abdominal CT scans contain valuable, underused body composition data.
- AI algorithms enable rapid and objective assessment of body composition.
- Automated screening is feasible for large populations.
Conclusions:
- Body composition analysis from CT scans can enhance cancer treatment and survivorship.
- AI-driven automation offers a scalable solution for objective body composition assessment.
- Further research into therapeutic interventions targeting body composition is warranted.
