Evaluation of the Accuracy of a Computer-aided Diagnosis (CAD) System in Breast Ultrasound according to the Radiologist’s Experience

Chabi, Marie‐Laure; Borget, Isabelle; Ardiles, Rosario; Aboud, G.; Boussouar, Samia; Vilar, Vanessa Sales; Dromain, Clarisse; Balleyguier, Corinne

doi:10.1016/j.acra.2011.10.023

Cited by 48 publications

(37 citation statements)

References 34 publications

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“…We noted also a mild decrease in specificity from the range of 74.4%-84.6% to 66.7%-79.5% and a slight decrease in accuracy from 77.78% to 77.10%. This was seen in other CAD reports 30,31 and was not surprising because the improved sensitivity is typically accompanied by an increase in the average number of false-positive results. We designed our study to be like clinical practice, and the higher number of negative cases may account for the lower apparent performance.…”

Section: Discussionmentioning

confidence: 50%

Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting

Štěpán-Buksakowska

Accurso

Diehn

et al. 2014

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 50%

Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting

Štěpán-Buksakowska

Accurso

Diehn

et al. 2014

AJNR Am J Neuroradiol

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“…The efficiency of CAD software is generally higher to detect lesion with a high risk of malignancy in contrast to the benign lesion (Chabi et al, 2012[20]; Horsch et al, 2004[62]). Chabi et al (2012[20]) have presented the results of ultrasound image analysis with and without CAD system by junior radiologists to detect breast cancer.…”

Section: Introductionmentioning

confidence: 99%

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection

Jalalian

Mashohor

Mahmud

et al. 2017

EXCLI Journal; 16:Doc113; ISSN 1611-2156

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“…In clinical practice, breast ultrasound (US) is an important modality for detecting breast cancer, along with mammography (3). Compared with mammography, breast US is an easily available imaging tool that does not involve a radiation hazard.…”

Section: Introductionmentioning

confidence: 99%

Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors

Jeong

Kang

Kim

et al. 2018

J Korean Soc Radiol

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Purpose: The aim of this study was to evaluate the diagnostic performance of breast ultrasound (US) computer-aided diagnosis (CAD) to distinguish between benign and malignant lesions and analyze features of lesions interpreted with errors retrospectively. Materials and Methods: Three hundred and sixteen women with 375 breast lesions were enrolled. We assessed the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). Additionally, we evaluated the causes and patterns of the misinterpretation in the false positive and negative groups. Results: The accuracy, sensitivity, specificity, PPV, and NPV of breast US-CAD were 80.3%, 83.3%, 79.8%, 37.7%, and 97.0%, respectively. There were 8 false negative lesions that were oval in shape and in parallel orientation. There were 66 false positive lesions. The greatest number of errors entailed inappropriate demarcation due to heterogeneous echogenicity, etc. The second exhibited suspicious features with good demarcation and description but were confirmed as benign histologically. The third entailed a benign lesion with suspicious features, such as abscesses. The smallest portion with good demarcations and descriptions indicating benign status exhibited possible malignancy as a final conclusion. Conclusion: Breast US-CAD is expected to be helpful in avoiding unnecessary biopsies due to its high NPV. Therefore, operators need to know the characteristics of lesions prone to misinterpretation. Index terms

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Evaluation of the Accuracy of a Computer-aided Diagnosis (CAD) System in Breast Ultrasound according to the Radiologist’s Experience

Cited by 48 publications

References 34 publications

Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting

Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting

Foundation and methodologies in computer-aided diagnosis systems for breast cancer detection

Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors

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