Evidence map›Paper›PMID 42032040›Full record

ArticleNature biomedical engineering2026

Whole cross-sectional human ultrasound tomography.

David C Garrett, Jinhua Xu, Donghyeon Oh, Yousuf Aborahama, Geng Ku, Konstantin Maslov, William W Tseng, Lihong V Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

David C Garrett *Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9747-8494
Jinhua Xu *Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Donghyeon Oh *Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Yousuf AborahamaCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-9527-8923
Geng KuCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
Konstantin MaslovCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA.
William W TsengDivision of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA.
Lihong V WangCaltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA. lvw@caltech.edu.ORCID http://orcid.org/0000-0001-9783-4383

Funding

High-speed panoramic 3D photoacoustic computed tomography of the breastR35CA220436 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI WANG, LIHONG · 2018 to 2024
$6.4M
NCI NIH HHS R35 CA220436U.S. Department of Health & Human Services | National Institutes of Health (NIH) R35 CA220436 (Outstanding Investigator Award)
6 · The paper itself

Abstract

Ultrasonography is a vital component of modern clinical care, with handheld probes routinely used for diagnostic imaging and procedural guidance. However, handheld ultrasound imaging is limited by factors such as the partial cross-sectional field of view, operator dependency, contact-induced distortion and lack of transmission contrast. Here we demonstrate a new system that enables whole cross-sectional ultrasound tomography of humans in both reflection and transmission modes. We generate two-dimensional images of the entire in vivo human cross-section in the abdomen and thighs with uniform in-plane resolution using a custom 512-element circular ultrasound receiver array and a rotating transmitter. Sequential scans with our system show strong agreement with clinical magnetic resonance imaging counterparts. To address unmet clinical needs, we explore two key applications. First, we observe abdominal adipose distributions in our images, enabling adipose thickness assessment without ionising radiation or mechanical deformation. Second, we demonstrate an approach for video-rate biopsy needle localization with respect to internal tissue features. These capabilities make whole cross-sectional ultrasound tomography a potential practical tool for clinical needs currently unmet by other modalities.

Identifiers

PMID42032040

What OpenQuestion holds

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Registered trials

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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.