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Imaging Cancer-associated Cachexia: Utilizing Clinical Imaging Modalities for Early Diagnosis
Yang Jiang1, Yufei Zhao1, Jingyue Dai1
1Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Cancer-associated cachexia (CAC) diagnosis is limited by current methods. Advanced imaging techniques offer potential for early detection and monitoring of this condition in oncology patients.
Area of Science:
- Oncology and Radiology
Background:
- Cancer-associated cachexia (CAC) significantly impacts cancer progression and treatment outcomes.
- Current diagnostic methods for CAC, primarily weight-based, lack sensitivity and early predictive capability.
Purpose of the Study:
- To review the applications and future potential of imaging techniques for early CAC detection.
- To explore quantitative imaging biomarkers for assessing metabolic alterations in CAC.
Main Methods:
- Review of current and emerging imaging modalities used in clinical radiology.
- Focus on techniques like MRI, PET/CT, and ultrasound for evaluating adipose and muscle tissue composition.
Main Results:
- Noninvasive imaging biomarkers can potentially diagnose CAC before significant weight loss.
- Imaging enables quantitative assessment for prognosis and treatment response monitoring.
Conclusions:
- Imaging techniques show promise for early, sensitive diagnosis of CAC.
- Quantitative imaging can improve management and outcomes for cancer patients with cachexia.
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