Evidence map›Paper›PMID 32986361›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Reading High Breast Density Mammograms: Differences in Diagnostic Performance between Radiologists from Hong Kong SAR/Guangdong Province in China and Australia.

Tong Li, Seyedamir Tavakoli Taba, Pek-Lan Khong, Tom X-L Tan, Phuong Dung Yun Trieu, Edward Chan, Moayyad E Suleiman, Ying Li, Patrick Brennan, Sarah Lewis

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. 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
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 1 institution in 1 country.

Tong LiBreastscreen REader Assessment Strategy (BREAST), Medical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0003-4956-765X
Seyedamir Tavakoli TabaMedical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Pek-Lan KhongDepartment of Diagnostic Radiology, Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Tom X-L TanDepartment of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Phuong Dung Yun TrieuBreastscreen REader Assessment Strategy (BREAST), Medical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Edward ChanDepartment of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Moayyad E SuleimanMedical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Ying LiDepartment of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Patrick BrennanMedical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Sarah LewisMedical Imaging Science, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariations in the performance of radiologists reading mammographic images are well reported, but key parameters explaining such variations in different countries are not fully explored. The main aim of this study is to investigate performances of Chinese (Hong Kong SAR and Guangdong Province) and Australian radiologists in interpreting dense breast mammographic images.

methodsA test set, contained 60 mammographic examinations with high breast density, was used to assess radiologists' performance. Twelve Chinese and thirteen Australian radiologists read all the cases independently and were asked to identify all lesions and provide a grade from 1 to 5 to each lesion. Case sensitivity, specificity, lesion sensitivity, AUC and JAFROC were used to assess radiologists' performances. Demographic information and reading experience were also collected from the readers. Performance scores were compared between the two populations and the relationships between performance scores and their reading experience were discovered.

resultsFor radiologists who were less than 40-year-old, lesion sensitivity, AUC and JAFROC were significantly lower in Chinese radiologists than those in Australian (52.10% vs 71.45%, p=0.043; 0.76 vs 0.84, p=0.031; 0.59 vs 0.72, p=0.045; respectively). Australian radiologists with less than 10 years of reading experience had higher AUC and JAFROC scores compared with their Chinese counterparts (0.83 vs 0.76, p=0.039; 0.70 vs 0.56, p=0.020, respectively).

conclusionsWe found that younger Australian radiologists performed better at reading dense breast cases which is likely to be linked to intensive fellowship training, immersion in a screening program and exposure to the benefits of a performance-measuring education tool.

Indexed as

Breast DensityObserver VariationAdultAustraliaBreast NeoplasmsChinaClinical CompetenceDiagnostic ErrorsEarly Detection of CancerFemaleHumansMammographyPrognosisRadiologistsROC CurveBreast Cancer Screeningbreast image readingmammographySensitivitySpecificity

Identifiers

PMID32986361
PMCPMC7779441
OpenAlexW3089559806

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.