Evidence map›Paper›PMID 41494676›Full record

ReviewKorean journal of radiology2026

Potential Role of Imaging in the Evaluation of Adiposity and Approval of Anti-Obesity Drugs.

So Yeon Kim, Sang Eun Won, Hyo Jung Park, ChangYun Woo, Dong Wook Kim, Chong Hyun Suh, Kyung Won Kim

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

So Yeon Kim *Asan Image Metrics, Clinical Trial Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0006-4231-8561
Sang Eun Won *Asan Image Metrics, Clinical Trial Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8611-1059
Hyo Jung ParkAsan Image Metrics, Clinical Trial Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-2364-9940
ChangYun WooDepartment of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-8286-8481
Dong Wook KimDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7887-657X
Chong Hyun SuhAsan Image Metrics, Clinical Trial Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-4737-0530
Kyung Won KimAsan Image Metrics, Clinical Trial Center, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-1532-5970

Funding

National Research Foundation of Korea 2021R1C1C1010138
6 · The paper itself

Abstract

The global increase in obesity highlights the need for accurate tools to assess body composition and monitor treatment efficacy. Traditional metrics, including body mass index and waist circumference, offer limited precision for fat quantification. Imaging-based techniques capable of visualizing internal structures are increasingly being recognized for their ability to provide comprehensive fat assessment. This review outlines the principles, strengths, and limitations of key modalities, including dual-energy X-ray absorptiometry (DXA), CT, MRI, and bioelectrical impedance analysis (BIA). DXA is cost-effective and accessible for population-level screening, whereas CT and MRI offer higher precision, particularly for visceral fat assessment. BIA is a practical, low-cost alternative, but it is limited by variability and lack of standardization. Regulatory agencies, including the US Food and Drug Administration and the Korean Ministry of Food and Drug Safety, are increasingly supporting imaging-based endpoints in clinical trials of anti-obesity drugs because these methods capture fat mass reduction beyond total weight loss. Recent phase III trials of semaglutide and tirzepatide have underscored the utility of DXA and CT in quantifying fat loss and preserving lean mass. Selecting appropriate imaging modalities based on technical capabilities and regulatory considerations can improve the evaluation of obesity treatments and strengthen the design of anti-obesity drug trials.

Indexed as

AdiposityAnti-Obesity AgentsDiagnostic ImagingObesityAbsorptiometry, PhotonBody CompositionDrug ApprovalElectric ImpedanceHumansMagnetic Resonance ImagingTomography, X-Ray ComputedAnti-Obesity AgentsAnti-obesity drugsBody composition analysisClinical trialsFat quantificationObesity

Identifiers

PMID41494676
PMCPMC12780372

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.