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Investigating the Correlation Between Pre-Treatment Imaging-Derived Body Composition, Chemotherapy Dose Adjustment, and Treatment Efficacy in Gynecological Cancer Patients "
Sponsor: National Cheng-Kung University Hospital
Summary
The dosage of paclitaxel, an adjuvant chemotherapy agent for endometrial and ovarian cancer, is typically calculated based on the patient's body surface area (BSA). However, cancer patients with the same BSA may exhibit significant differences in body composition, which could influence the distribution pattern of paclitaxel in the body. These variations may lead to individual differences in drug tolerance and adverse effects. Such variability not only impacts the patient's treatment experience and quality of life but may also increase medical costs, including hospitalization, emergency department visits, and additional treatments required to manage chemotherapy-induced toxicities. Our preliminary study results indicate that skeletal muscle area (SMA) and skeletal muscle index (SMI), as assessed through computed tomography (CT) imaging, are significantly associated with the incidence of Grade 3 or higher leukopenia or neutropenia following the first two cycles of chemotherapy in patients with endometrial cancer. Furthermore, the predictive accuracy of these CT-derived muscle measurements surpasses the clinical judgment made by physicians based on conventional treatment guidelines. Patients who develop Grade 3 or higher leukopenia or neutropenia during the first two cycles are more likely to experience more frequent occurrences of Grade 3 or higher chemotherapy-related adverse effects in subsequent treatment cycles. However, no study has comprehensively investigated the relationship between body composition, chemotherapy dosing, and adverse effects. Therefore, this trial aims to examine the impact of body composition on chemotherapy dose adjustments and adverse effects. By utilizing body composition data extracted from abdominal CT imaging through this product, this study seeks to establish a risk stratification tool to assist physicians in treating patients with endometrial and ovarian cancer by providing a reference for chemotherapy dose reduction. It is expected that through a precision chemotherapy strategy, the incidence of chemotherapy-related adverse effects can be reduced, thereby lowering medical resource expenditures incurred from managing these adverse effects, such as emergency department visits, hospitalizations, additional diagnostic tests, and supportive medication costs. Furthermore, this approach aims to improve patients' health-related quality of life and achieve a dual benefit of medical economic efficiency and clinical effectiveness.
Official title: A Multicenter Ambidirectional Study Investigating the Association Between Pre-Treatment Imaging-Derived Body Composition, Chemotherapy Dose Adjustment, and Treatment Efficacy in Patients With Endometrial and Ovarian Cancer
Key Details
Gender
FEMALE
Age Range
18 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
294
Start Date
2025-09
Completion Date
2028-12-31
Last Updated
2025-09-22
Healthy Volunteers
Yes
Conditions
Interventions
National Cheng Kung University Abdominal Muscle Group Medical Imaging Analysis Software
Phase 2: The second phase will involve a prospective multicenter clinical trial, enrolling 294 patients with endometrial or ovarian cancer.Patients will be randomized into two groups (at least 147 per group): AI-assisted group (treatment group): Preoperative CT imaging will be used to assess body composition and classify patients into high-risk or low-risk categories.Chemotherapy dosing will be adjusted accordingly to evaluate treatment-related adverse effects and dose modifications. Non-AI-assisted group (control group): Patients will receive chemotherapy chemotherapy dosing adjustments based on standard clinical care.
Locations (1)
National Cheng Kung University Hospital
Tainan, Taiwan