研究目的
To assess the practical utility of repeated 3DIS measurements for longitudinal lymphedema management by examining intraday and day-to-day leg volume changes in adults with filarial lymphedema.
研究成果
Limb volume measurements by 3DIS are accurate and reproducible, and this technique is feasible for use in patients’ homes. Duplicate measurements should be performed and repeat assessments should be done at approximately the same time of day to minimize bias. With proper training and attention to technique, 3DIS can be a valuable tool for healthcare workers who work with lymphedema patients.
研究不足
The participant population was small and may not be representative of all patients with filarial lymphedema. Results from patients with filarial lymphedema may not be valid for patients with lymphedema from other causes. The study did not control for the effects of daily activity on daily volume changes. Unanticipated software problems required the use of two different versions of the software, making the estimates of dispersion less robust.
1:Experimental Design and Method Selection:
The study utilized a portable three-dimensional infrared imaging system (3DIS) for limb volume measurements. Participants were assessed in their homes during morning and afternoon visits over three days within one week.
2:Sample Selection and Data Sources:
Forty-one participants with lower extremity lymphedema (stages 1–6) were recruited from southern Sri Lanka.
3:List of Experimental Equipment and Materials:
The 3D infrared imaging system (LymphaTech, Atlanta, Georgia) consisting of a portable infrared sensor (Structure by Occipital, San Francisco, California) mounted on a tablet computer.
4:Experimental Procedures and Operational Workflow:
Participants stood bare from the knees down with heels spaced approximately 25 cm apart while examiners circled them to collect 3D imaging data. Two examiners performed replicate 3DIS volume measurements at each visit.
5:Data Analysis Methods:
Data was imported to STATA version 12.1 for statistical analyses. Volume measurements were log-transformed to achieve a normal distribution, then regressed against similarly transformed volume measurements.
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