scholarly journals Perceptual learning of lesions in mammograms induced by response feedback during training

2019 ◽  
Author(s):  
Sebastian M. Frank ◽  
Andrea Qi ◽  
Daniela Ravasio ◽  
Yuka Sasaki ◽  
Eric Rosen ◽  
...  

AbstractDetecting subtle lesions in mammograms indicative of early breast cancer usually requires years of experience. Well-designed training paradigms could be a strong tool for promoting perceptual learning (PL) with rapid and long-lasting improvement in detectability of these subtle mammographic lesions. Given that PL occurs without feedback about the accuracy of subjects’ responses, the role of feedback has been completely ignored in clinical applications of PL. However, in this study, we found that the contents of the feedback profoundly and differentially influence the formation and retention of PL to detect calcification and architectural distortion lesions, two types of mammographic lesions that are frequently missed in mammographic screenings. We trained subjects to detect one type of lesion in a mammogram and manipulated the content of the response feedback during training for 3 groups (no feedback, correctness only, and both correctness and location of the lesion). We found that PL occurred for both lesions when both correctness and location feedback were provided. PL also occurred for calcifications but not for distortions when only correctness was provided. No learning occurred without feedback for either lesion. A retest conducted six months later showed that PL was retained only in the group with both correctness and location feedback for both types of lesions. In contrast to the general consensus of basic PL studies, our results demonstrate that the content of the response feedback is a determining factor in forming and retaining PL to detect mammographic lesions.

ESMO Open ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 100076
Author(s):  
A. Matikas ◽  
K. Wang ◽  
E. Lagoudaki ◽  
B. Acs ◽  
I. Zerdes ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (12) ◽  
pp. e0189127 ◽  
Author(s):  
Anaid Anna Kasangian ◽  
Giorgio Gherardi ◽  
Elena Biagioli ◽  
Valter Torri ◽  
Anna Moretti ◽  
...  

Author(s):  
Michal Mego ◽  
Zuzana Cierna ◽  
Marian Karaba ◽  
Gabriel Minarik ◽  
Juraj Benca ◽  
...  

2020 ◽  
Vol 23 (2) ◽  
pp. 182 ◽  
Author(s):  
Yaewon Yang ◽  
Ahrum Min ◽  
Kyung-Hun Lee ◽  
Han Suk Ryu ◽  
Tae-Yong Kim ◽  
...  

2021 ◽  
Vol 2 (1) ◽  
pp. 01-05
Author(s):  
Asima Tayyab

Despite decades of research, diagnostic tests with specificity and accuracy for early breast cancer are yet unavailable. Major problems associated with poor diagnosis are either due to incompetency of reported biomarkers or small volume of patients under study. Moreover, heterogeneity of the disease further complicates the struggle of identifying effective biomarkers. Therefore, to improve the survival rate, look for new, sensitive and specific biomarkers for early breast cancer diagnosis is need of hour. In this study, we have reviewed recently reported serum biomarkers and categorized them based on their biomolecular nature such as protein, ctDNA, epigenetics regulation and miRNA. Potential role of these available biomarkers in early diagnosis of breast cancer has also been discussed. Based on the facts obtained from literature review, it is revealed that using any individual biomolecule as a biomarker is not sufficient to diagnose breast cancer at early stages rather it is suggested that a panel of proteins or miRNAs would offer better sensitivity and specificity. Whereas, unavailability of a potential ctDNA and epigenetics regulation candidate for diagnostic purpose is and suggest the use of more sophisticated techniques to unwound these regulations in serum especially at early stages of breast cancer.


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