AI Article Synopsis
- The study assessed how factors like gender, age, BMI, alcohol consumption, and smoking affect tissue properties in healthy volunteers using elastographic techniques.
- Out of 263 participants, successful measurements were obtained from 234 using the Siemens Acuson S3000 with the virtual touch tissue quantification method.
- Results indicated that women had higher tissue stiffness values in the pancreas compared to men, and age had a significant impact on these values, while BMI showed a correlation only when considered continuously; alcohol and smoking did not have notable effects.
Article Abstract
Purpose: A variety of elastographic techniques have been developed to facilitate the non-invasive assessment of tissue properties. The goal of the study was to examine the influence of gender, age, BMI, alcohol consumption, and smoking in healthy volunteers.
Methods: Of the 263 participants who met all the study inclusion criteria, 234 had successful measurements. The examination was performed with the Siemens Acuson S3000 (Siemens Healthcare, Erlangen, Germany), using the 6C1 curved array transducer with the virtual touch tissue quantification (VTQ) method.
Results: The values determined with the curved array in the head of the pancreas were 1.44 ± 0.39 m/s for women and 1.19 ± 0.29 m/s for men; in the body, the results were 1.49 ± 0.37 m/s for women and 1.26 ± 0.30 m/s for men; in the tail, the corresponding values were 1.29 ± 0.36 m/s for women and 1.05 ± 0.30 m/s for men. Comparison of gender showed that men have significantly lower mean values than women. There were significantly higher values in all parts of the organ with the increasing age of the participants (p < 0.0001). For BMI, there was a significant correlation with the values only when considering the BMI in continuous form. Alcohol consumption and smoking did not have any significant effects.
Conclusions: ARFI-VTQ is qualified for use on pancreatic tissue. Further studies are required to examine the influence of other factors in larger populations.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912593 | PMC |
| http://dx.doi.org/10.1007/s00261-016-0661-7 | DOI Listing |
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