Evidence map›Paper›PMID 37168693›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2023

Contributions of global and local processing on medical image perception.

Hyung-Bum Park, Lilian Azer, Shinhae Ahn, Tam-Dan Dinh, Gabriela Macias, Gavin Zhang, Bihong Beth Chen, Huiyan Ma, Mahesh Botejue, Eric H Choi and 1 more

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Contributions from Long-Term Memory Explain Superior Visual Working Memory Performance with Meaningful Objects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hyung-Bum ParkThe University of Chicago, Institute for Mind and Biology, Chicago, Illinois, United States.ORCID https://orcid.org/0000-0001-6560-2406
Lilian AzerThe University of Chicago, Institute for Mind and Biology, Chicago, Illinois, United States.
Shinhae AhnWashington University in St. Louis, Department of Psychological and Brain Sciences, St. Louis, Missouri, United States.ORCID https://orcid.org/0009-0004-1732-6485
Tam-Dan DinhThe University of Chicago, Institute for Mind and Biology, Chicago, Illinois, United States.
Gabriela MaciasThe University of Chicago, Institute for Mind and Biology, Chicago, Illinois, United States.
Gavin ZhangUniversity of California, Berkeley, Department of Computer Science, Berkeley, California, United States.
Bihong Beth ChenCity of Hope National Medical Center, Department of Diagnostic Radiology, Duarte, California, United States.
Huiyan MaCity of Hope National Medical Center, Beckman Research Institute, Department of Population Sciences, Duarte, California, United States.
Mahesh BotejueUniversity of California Riverside School of Medicine, Riverside Community Hospital, Internal Medicine, Riverside, California, United States.
Eric H ChoiUniversity of California Riverside School of Medicine, Riverside Community Hospital, Internal Medicine, Riverside, California, United States.
Weiwei ZhangThe University of Chicago, Institute for Mind and Biology, Chicago, Illinois, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The influential holistic processing hypothesis attributes expertise in medical image perception to cognitive processing of global gist information. However, it has remained unclear whether or how experts use rapid global impression of images for their subsequent diagnostic decisions based on the focal sign of cancer. We hypothesized that continuous-global and discrete-local processes jointly attribute to radiological experts' detection of mammogram, with different weights and temporal dynamics. Approach: We examined experienced versus inexperienced observers' performance at first (500 ms) versus second (2500 ms) mammogram image presentation in an abnormality detection task. We applied a dual-trace signal detection (DTSD) model of receiver operating characteristic (ROC) to assess the time-varying contributions of global and focal cancer signals on mammogram reading and medical expertise. Results: The hierarchical Bayesian DTSD modeling of empirical ROCs revealed that mammogram expertise (experienced versus inexperienced observers) manifests largely in a continuous-global component for the detection of the gist of abnormality at the early phase of mammogram reading. For the second presentation of the same mammogram images, the experienced participants showed increased task performance that was largely driven by better processing of discrete-local information, whereas the global processing of abnormality remained saturated from the first exposure. Modeling of the mouse trajectory of the confidence rating responses further revealed the temporal dynamics of global and focal processing. Conclusions: These results suggest a joint contribution of continuous-global and discrete-local processes on medical expertise, and these processes could be analytically dissociated.

Indexed as

focal processhierarchical Bayesianholistic processmammographymouse trajectorysignal detection

Identifiers

PMID37168693
PMCPMC10166588

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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.