September 27, 2018Journal of ObesityOpen Access

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery

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Population

2,545 abdominal CT images from a large health care provider (Geisinger)

Design

Cross-sectional

Authors

YVYogasudha VeturiPennsylvania State University CAChirag AgarwalHarvard University Press APAalpen A. PatelGeisinger Medical Center

Discussion

Member takes

Implication

Cross-sectional VAT associations warrant no practice change; leaves open prospective validation for cardiometabolic risk prediction.

Structured PICO

Population

2,545 abdominal CT images from a large health care provider (Geisinger)

Outcome

Association between adipose measures (VAT, SAT, TAT, adipose ratio volumes) and 1,233 disease diagnoses and 37 clinical laboratory measuressurrogate

Automated extraction of visceral and subcutaneous adipose tissue volumes from clinical CT scans demonstrates strong associations with metabolic and cardiovascular risk factors, particularly in women.

Cite This Study

Veturi et al. (2018) studied this question.

synapsesocial.com/papers/6a83bee2c00eaf1d35e653e0 https://doi.org/10.1155/2018/3253096

View Full Paper

Ask AI

Bookmark

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider