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Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population?
Clin Radiol. 2009 Dec; 64(12):1166-74.CR

Abstract

AIM

To evaluate the sensitivity and specificity of magnetic resonance imaging (MRI) computer-aided detection (CAD) for breast MRI screen-detected lesions recommended for biopsy in a high-risk population.

MATERIAL AND METHODS

Fifty-six consecutive Breast Imaging Reporting and Data System (BI-RADS) 3-5 lesions with histopathological correlation [nine invasive cancers, 13 ductal carcinoma in situ (DCIS) and 34 benign] were retrospectively evaluated using a breast MRI CAD prototype (CAD-Gaea). CAD evaluation was performed separately and in consensus by two radiologists specializing in breast imaging, blinded to the histopathology. Thresholds of 50, 80, and 100% and delayed enhancement were independently assessed with CAD. Lesions were rated as malignant or benign according to threshold and delayed enhancement only and in combination. Sensitivities, specificities, and negative predictive values (NPV) were determined for CAD assessments versus pathology. Initial MRI BI-RADS interpretation without CAD versus CAD assessments were compared using paired binary diagnostic tests.

RESULTS

Threshold levels for lesion enhancement were: 50% to include all malignant (and all benign) lesions; and 100% for all invasive cancer and high-grade DCIS. Combined use of threshold and enhancement patterns for CAD assessment was best (73% sensitivity, 56% specificity and 76% NPV for all cancer). Sensitivities and NPV were better for invasive cancer (100%/100%) than for all malignancies (54%/76%). Radiologists' MRI interpretation was more sensitive than CAD (p=0.05), but less specific (p=0.001) for cancer detection.

CONCLUSION

The breast MRI CAD system used could not improve the radiologists' accuracy for distinguishing all malignant from benign lesions, due to the poor sensitivity for DCIS detection.

Authors+Show Affiliations

Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada. t_arazikleinman@yahoo.comNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

19913125

Citation

Arazi-Kleinman, T, et al. "Can Breast MRI Computer-aided Detection (CAD) Improve Radiologist Accuracy for Lesions Detected at MRI Screening and Recommended for Biopsy in a High-risk Population?" Clinical Radiology, vol. 64, no. 12, 2009, pp. 1166-74.
Arazi-Kleinman T, Causer PA, Jong RA, et al. Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population? Clin Radiol. 2009;64(12):1166-74.
Arazi-Kleinman, T., Causer, P. A., Jong, R. A., Hill, K., & Warner, E. (2009). Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population? Clinical Radiology, 64(12), 1166-74. https://doi.org/10.1016/j.crad.2009.08.003
Arazi-Kleinman T, et al. Can Breast MRI Computer-aided Detection (CAD) Improve Radiologist Accuracy for Lesions Detected at MRI Screening and Recommended for Biopsy in a High-risk Population. Clin Radiol. 2009;64(12):1166-74. PubMed PMID: 19913125.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population? AU - Arazi-Kleinman,T, AU - Causer,P A, AU - Jong,R A, AU - Hill,K, AU - Warner,E, Y1 - 2009/10/21/ PY - 2009/04/18/received PY - 2009/08/02/revised PY - 2009/08/06/accepted PY - 2009/11/17/entrez PY - 2009/11/17/pubmed PY - 2010/2/26/medline SP - 1166 EP - 74 JF - Clinical radiology JO - Clin Radiol VL - 64 IS - 12 N2 - AIM: To evaluate the sensitivity and specificity of magnetic resonance imaging (MRI) computer-aided detection (CAD) for breast MRI screen-detected lesions recommended for biopsy in a high-risk population. MATERIAL AND METHODS: Fifty-six consecutive Breast Imaging Reporting and Data System (BI-RADS) 3-5 lesions with histopathological correlation [nine invasive cancers, 13 ductal carcinoma in situ (DCIS) and 34 benign] were retrospectively evaluated using a breast MRI CAD prototype (CAD-Gaea). CAD evaluation was performed separately and in consensus by two radiologists specializing in breast imaging, blinded to the histopathology. Thresholds of 50, 80, and 100% and delayed enhancement were independently assessed with CAD. Lesions were rated as malignant or benign according to threshold and delayed enhancement only and in combination. Sensitivities, specificities, and negative predictive values (NPV) were determined for CAD assessments versus pathology. Initial MRI BI-RADS interpretation without CAD versus CAD assessments were compared using paired binary diagnostic tests. RESULTS: Threshold levels for lesion enhancement were: 50% to include all malignant (and all benign) lesions; and 100% for all invasive cancer and high-grade DCIS. Combined use of threshold and enhancement patterns for CAD assessment was best (73% sensitivity, 56% specificity and 76% NPV for all cancer). Sensitivities and NPV were better for invasive cancer (100%/100%) than for all malignancies (54%/76%). Radiologists' MRI interpretation was more sensitive than CAD (p=0.05), but less specific (p=0.001) for cancer detection. CONCLUSION: The breast MRI CAD system used could not improve the radiologists' accuracy for distinguishing all malignant from benign lesions, due to the poor sensitivity for DCIS detection. SN - 1365-229X UR - https://www.unboundmedicine.com/medline/citation/19913125/Can_breast_MRI_computer_aided_detection__CAD__improve_radiologist_accuracy_for_lesions_detected_at_MRI_screening_and_recommended_for_biopsy_in_a_high_risk_population L2 - https://linkinghub.elsevier.com/retrieve/pii/S0009-9260(09)00281-5 DB - PRIME DP - Unbound Medicine ER -