Head and Neck Carcinoma Clinical Trial
Official title:
Validation of Eight-Electrode Multifrequency Bioelectrical Impedance Analysis to Estimate Body Composition in a Head and Neck Cancer Population Undergoing Radiation Therapy
Verified date | April 2024 |
Source | M.D. Anderson Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Bioelectrical impedance analysis measures body mass (the amount of muscle and fat in the body) and the level of hydration to help researchers identify patients who are losing muscle mass during radiation therapy. This information may help researchers make decisions about nutritional supplementation and the placement of feeding tubes in patients receiving radiation therapy.
Status | Active, not recruiting |
Enrollment | 50 |
Est. completion date | November 30, 2026 |
Est. primary completion date | November 30, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Histologically documented head and neck cancer (clinical stage I-IVB; Tx,1-4, N0-3). - Patients dispositioned to receive radiation therapy (dose >= 60 gray [Gy]). - Patients may receive radiation as either primary therapy or post-operatively. - Patient received staging positron emission tomography/computed tomography (PET/CT) scan during 60-day period prior to initiating therapy. - Negative pregnancy test for women of child bearing potential. Exclusion Criteria: - Previous radiation treatment for head and neck mucosal primary cancers (i.e. oropharynx, nasopharynx, hypopharynx, larynx, and oral cavity). - Patients with pacemaker, implanted cardiac defibrillator, or vagal nerve stimulator. - Pregnant or breast-feeding females. - Patients weighing over 660 lbs (300 kg). - Patients with other medical conditions known to cause sarcopenia, including New York Heart Association (NYHA) class III-IV heart failure, oxygen-dependent pulmonary disease, advanced human immunodeficiency virus infection, cirrhosis, end stage renal disease, or inherited/congenital disorders of metabolism. - Patients receiving palliative irradiation. |
Country | Name | City | State |
---|---|---|---|
United States | M D Anderson Cancer Center | Houston | Texas |
Lead Sponsor | Collaborator |
---|---|
M.D. Anderson Cancer Center | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Bioelectrical impedance analysis (BIA) estimates of total body water | a. Bioelectrical impedance analysis (BIA) estimates of total body water (kg) | Up to 2 years | |
Other | The incidence of unplanned hospitalizations | b. incidence of unplanned hospitalizations (#) | Up to 2 years | |
Other | Lean body mass as a predictor of sarcopenia | Exploratory analyses will evaluate whether decreases in lean mass measured during treatment correlates to the presence of sarcopenia on follow up. | Up to 2 years | |
Other | Lean body mass as a predictor of therapeutic feeding tube use | Exploratory analyses will evaluate whether decreases in lean mass measured during treatment correlates to the incidence of therapeutic feeding tube use. | Up to 2 years | |
Other | Quality of life assessed questionnaire | a. MD Anderson Symptom Inventory-Head and Neck (MDASI-HN) | Baseline up to 12 months | |
Other | Quality of life questionnaire | b. Brief patient interviews to assess performance status (ECOG PS) Scores 0-5 | Baseline up to 12 months | |
Primary | Lean and Fat Body Mass Composition from SECA mBCA BIA Scale Compared with Computed Tomography (CT) in Participants with Head and Neck Cancer Undergoing Radiation Therapy (RT) | Validation of BIA measures of body composition made by comparison with CT-based estimates of body composition.
Linear regression analysis used to determine the relative agreement between lean body mass and fat body mass predicted from impedance measurement and CT imaging. |
7 weeks | |
Secondary | BIA-derived body composition calculations | Root mean square error analysis will be utilized to quantify the average error from BIA-derived body composition calculations. | Up to 2 years |
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