Objectives: To analyse which mammographic and tumour characteristics led to concordant versus discordant recalls at blinded double reading to further optimise our breast cancer screening programme.

Methods: We included a consecutive series of 99,013 screening mammograms obtained between July 2013 and January 2015. All mammograms were double read in a blinded fashion. Discordant readings were routinely recalled without consensus or arbitration. During the 2-year follow-up, relevant data of the recalled women were collected. We compared mammographic characteristics, screening outcome and tumour characteristics between concordant and discordant recalls.

Results: There were 2,543 concordant recalls (71.4%) and 997 discordant recalls (28.0%). The positive predictive value of a concordant recall was significantly higher (23.5% vs. 10.0%, p < 0.001). The proportion of BI-RADS 0 was significantly higher in the discordant recall group (75.7% vs. 56.3%, p < 0.001). Discordant recalls were more often an asymmetry or architectural distortion (21.8% vs. 13.2% and 9.3% vs. 6.5%, respectively, p < 0.001). There were no differences in the distribution of DCIS and invasive cancers and tumour characteristics were comparable for the two groups, except for a more favourable tumour grade in the discordant recall group (54.7% vs. 39.9% grade I tumours, p = 0.022).

Conclusions: Screen-detected cancers detected by a discordant reading show a more favourable tumour grade than cancers diagnosed after a concordant recall. The higher proportion of asymmetries and architectural distortions in this group provide a possible target for improving screening programmes by additional training of screening radiologists and the implementation of digital breast tomosynthesis.

Key Points: • With blinded double reading of screening mammograms, screen-detected cancers detected by a discordant reading show a more favourable tumour grade than cancers diagnosed after a concordant recall. • The proportions of asymmetries and architectural distortions are higher in case of a discordant reading. • Possible improvement strategies could target additional training of screening radiologists and the implementation of digital breast tomosynthesis in breast cancer screening programmes.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00330-018-5586-9DOI Listing

Publication Analysis

Top Keywords

discordant recalls
16
screen-detected cancers
12
blinded double
12
double reading
12
tumour characteristics
12
concordant recall
12
favourable tumour
12
tumour grade
12
discordant reading
12
discordant
11

Similar Publications

Evaluating Social Determinants of Health-Based Alternatives to Race-Based Cognitive Normative Models.

Neurology

December 2024

From the Department of Neurology (A.L.C.S.); Department of Biostatistics, Epidemiology, and Informatics, (A.L.C.S.), University of Pennsylvania Perelman School of Medicine, Philadelphia; Department of Radiation Medicine and Applied Sciences (A.R.), University of California, San Diego; Memory Impairment and Neurodegenerative Dementia (MIND) Center (J.A.H., T.H.M., M.G.), University of Mississippi Medical Center, Jackson; Department of Psychiatry and Behavioral Sciences (V.K.), Johns Hopkins University School of Medicine, Baltimore, MD; Department of Biostatistics and Bioinformatics (L.W.), Duke University, Durham, NC; Department of Population Health (J.R.P., J.C.), New York University Grossman School of Medicine, New York; Department of Epidemiology (A.G.), Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD; National Institute on Aging Intramural Program (K.W.), Baltimore, MD; Department of Epidemiology (A.K.-N.), University of North Carolina at Chapel Hill; and National Institute of Neurologic Disorders and Stroke Intramural Research Program (R.F.G.), Bethesda, MD.

Background And Objectives: Race and ethnicity are proxy measures of sociocultural factors that influence cognitive test performance. Our objective was to compare different regression-based cognitive normative models adjusting for demographics and different combinations of easily accessible/commonly used social determinants of health (SDoH) factors, which may help describe cognitive performance variability historically captured by ethnoracial differences.

Methods: We performed cross-sectional analyses on data from Black and White participants without mild cognitive impairment/dementia in the Atherosclerosis Risk in Communities Study who attended visit 5 in 2011-2013.

View Article and Find Full Text PDF

The fickleness of forgetting: When, why, and how do patient groups differ (or not)?

Cortex

September 2024

King's College London, Institute of Psychiatry, Psychology, and Neuroscience, London, UK. Electronic address:

Article Synopsis
  • This commentary looks at how quickly different patient groups forget things, using new and older studies.
  • It highlights that people often forget recalled memories faster than those they just recognize, and there's a lot of differences in how individuals forget.
  • The authors also discuss different types of forgetting, especially in epilepsy patients, and point out important research by experts to help us understand how memory works better.
View Article and Find Full Text PDF

Artificial intelligence (AI) algorithms have been retrospectively evaluated as replacement for one radiologist in screening mammography double-reading; however, methods for resolving discordance between radiologists and AI in the absence of 'real-world' arbitration may underestimate cancer detection rate (CDR) and recall. In 108,970 consecutive screens from a population screening program (BreastScreen WA, Western Australia), 20,120 were radiologist/AI discordant without real-world arbitration. Recall probabilities were randomly assigned for these screens in 1000 simulations.

View Article and Find Full Text PDF
Article Synopsis
  • Scientists are worried about a lifting agent called ORISE, used in certain medical procedures, because it has caused health problems and was pulled off the market in November 2022.
  • They studied 34 patients who had problems related to ORISE, finding that some had no disease, while others had serious issues like cancer, even when it looked like there was a problem.
  • Doctors need to be careful with ORISE because it can confuse them into thinking there's a big health issue when there really isn't, which could lead to unnecessary surgeries for patients.
View Article and Find Full Text PDF

Objective: The use of artificial intelligence has potential in assisting many aspects of imaging interpretation. We undertook a prospective service evaluation from March to October 2022 of Mammography Intelligent Assessment (MIA) operating "silently" within our Breast Screening Service, with a view to establishing its performance in the local population and setting. This evaluation addressed the performance of standalone MIA vs conventional double human reading of mammograms.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!