Evidence map›Paper›PMID 35511333›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2023

Radiologist Self-training: a Study of Cancer Detection when Reading Mammograms at Work Clinics or Workshops.

Sarah J Lewis, Natacha Borecky, Tong Li, Melissa L Barron, Patrick Brennan, Phuong Dung Yun Trieu

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Development and Evaluation of A PC-Compatible E-Learning System for Mammography and Breast Ultrasound.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  4. Article
  5. Article
  6. Review
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

6 authors at 1 institution in 1 country.

Sarah J LewisDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia.ORCID 0000-0002-4791-9845
Natacha BoreckyDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia.
Tong LiDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia.ORCID 0000-0003-4956-765X
Melissa L BarronDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia.ORCID 0000-0002-1143-5486
Patrick BrennanDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia.ORCID 0000-0001-8611-7258
Phuong Dung Yun TrieuDiscipline of Medical Imaging Science, Faculty of Medicine and Health, University of Sydney, D18 - Level 7 Susan Wakil Health Building, New South Wales, 2006, Sydney, Australia. phuong.trieu@sydney.edu.au.ORCID 0000-0001-7021-6331
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Provision of online and remote specialist education and general continued professional education in medicine is a growing field. For radiology specifically, the ability to access web-based platforms that house high resolution medical images, and the high fidelity of simulated activities is increasingly growing due to positive changes in technology. This study investigates the differences in providing a self-directed specialist radiology education system in two modes: at clinics and in-person workshops. 335 Australian radiologists completed 562 readings of mammogram test sets through the web-based interactive BREAST platform with 325 at conference workshops and 237 at their workplaces. They engaged with test sets with each comprising of 60 mammogram cases (20 cancer and 40 normal). Radiologists marked the location of any cancers and had their performance measured via 5 metrics of diagnostic accuracy. Results show that the location of engagement with BREAST did not yield any significant difference in the performances of all radiologists and the same radiologists between two reading modes (P > 0.05). Radiologists who read screening mammograms for BreastScreen Australia performed better when they completed the test sets at designated workshops (P < 0.05), as was also the case for radiologists who read > 100 cases per week (P < 0.05). In contrast, radiologists who read less mammograms frequently recorded better performances in specificity and JAFROC at clinics (P < 0.05). Findings show that remotely accessed online education for specialised training and core skills building in radiology can provide a similar learning opportunity for breast radiologists when compared to on-site dedicated workshops at scientific meetings. For readers with high volumes of mammograms, a workshop setting may provide a superior experience while clinic setting is more helpful to less experienced readers.

Indexed as

Breast NeoplasmsRadiologyAustraliaClinical CompetenceFemaleHumansMammographyRadiologistsBreast cancerDigital mammogramsRadiologyRemote trainingSimulation

Identifiers

PMID35511333
PMCPMC9069117
OpenAlexW4229002403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.