Evidence map›Paper›PMID 32016647›Full record

ArticleCognitive research: principles and implications2020

Perceptual learning in the identification of lung cancer in chest radiographs.

Li Z Sha, Yi Ni Toh, Roger W Remington, Yuhong V Jiang

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Eye-Tracking as a Lens into Expertise Development in Visual Search.Proceedings of the ACM on human-computer interaction · 2025
    Article
  4. Distinct Neural Plasticity Enhancing Visual Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Eye movements reflect expertise development in hybrid search.Cognitive research: principles and implications · 2021
    Article
  11. Review
  12. Article
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

4 authors.

Li Z ShaDepartment of Psychology, University of Minnesota, N240 Elliott Hall, 75 East River Road, Minneapolis, MN, 55455, USA. lixx3632@umn.edu.ORCID http://orcid.org/0000-0003-1794-2646
Yi Ni TohDepartment of Psychology, University of Minnesota, N240 Elliott Hall, 75 East River Road, Minneapolis, MN, 55455, USA.
Roger W RemingtonDepartment of Psychology, University of Minnesota, N240 Elliott Hall, 75 East River Road, Minneapolis, MN, 55455, USA.
Yuhong V JiangDepartment of Psychology, University of Minnesota, N240 Elliott Hall, 75 East River Road, Minneapolis, MN, 55455, USA. jiang166@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive research has shown that practice yields highly specific perceptual learning of simple visual properties such as orientation and contrast. Does this same learning characterize more complex perceptual skills? Here we investigated perceptual learning of complex medical images. Novices underwent training over four sessions to discriminate which of two chest radiographs contained a tumor and to indicate the location of the tumor. In training, one group received six repetitions of 30 normal/abnormal images, the other three repetitions of 60 normal/abnormal images. Groups were then tested on trained and novel images. To assess the nature of perceptual learning, test items were presented in three formats - the full image, the cutout of the tumor, or the background only. Performance improved across training sessions, and notably, the improvement transferred to the classification of novel images. Training with more repetitions on fewer images yielded comparable transfer to training with fewer repetitions on more images. Little transfer to novel images occurred when tested with just the cutout of the cancer region or just the background, but a larger cutout that included both the cancer region and some surrounding regions yielded good transfer. Perceptual learning contributes to the acquisition of expertise in cancer image perception.

Indexed as

Practice, PsychologicalAdolescentAdultFemaleHumansLung NeoplasmsMalePattern Recognition, VisualYoung Adult

Identifiers

PMID32016647
PMCPMC6997313

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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.