Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging

Jung, Haejoon; Kuzmiak, Cherie M.; Kim, Keum Won; Choi, Na Mi; Kim, Hye Jeong; Langman, Eun L.; Yoon, Sora C.; Steen, Doreen; Zeng, Donglin; Gao, Fei

doi:10.1016/j.acra.2017.06.003

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…In this study, we evaluated the diagnostic performance of MIP reformations of B-CT images as a stand-alone method for the detection and characterization of breast lesions in women with different breast density categories. Although the BI-RADS lexicon has been developed to provide a standardized lexicon for mammography report, a previous study has shown that high performance and good agreement among the readers can be achieved, when the same lexicon is applied for reporting and assessing breast lesions in B-CT. 23 In our study, sensitivity for finding a malignant lesion was 88.9% for both readers and specificity for finding a malignant lesion was 99.3% for reader 1 and 100% for reader 2. Only one malignant lesion was missed by both readers; this lesion was not clearly visible also in the standard B-CT examination but only detected in ultrasound because of the dense breast tissue.…”

Section: Discussionsupporting

confidence: 44%

Section: Discussionmentioning

confidence: 99%

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Breast Computed Tomography

et al. 2021

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ObjectivesThis study aimed to evaluate the diagnostic performance of the maximum intensity projection (MIP) reformations of breast computed tomography (B-CT) images as a stand-alone method for the detection and characterization of breast imaging findings.Materials and MethodsA total of 160 women undergoing B-CT between August 2018 and December 2020 were retrospectively included; 80 patients with known breast imaging findings were matched with 80 patients without imaging findings according to age and amount of fibroglandular tissue (FGT). A total of 71 benign and 9 malignant lesions were included. Images were evaluated using 15-mm MIP in 3 planes by 2 radiologists with experience in B-CT. The presence of lesions and FGT were evaluated, using the BI-RADS classification. Interreader agreement and descriptive statistics were calculated.ResultsThe interreader agreement of the 2 readers for finding a lesion (benign or malignant) was 0.86 and for rating according to BI-RADS classification was 0.82. One of 9 cancers (11.1%) was missed by both readers due to dense breast tissue. BI-RADS 1 was correctly applied to 73 of 80 patients (91.3%) by reader 1 and to 74 of 80 patients (92.5%) by reader 2 without recognizable lesions. BI-RADS 2 or higher with a lesion in at least one of the breasts was correctly applied in 69 of 80 patients (86.3%) by both readers. For finding a malignant lesion, sensitivity was 88.9% (95% confidence interval [CI], 51.75%–99.72%) for both readers, and specificity was 99.3% (95% CI, 96.4%–100%) for reader 1 and 100% (95% CI, 97.20%–100.00%) for reader 2.ConclusionsEvaluation of B-CT images using the MIP reformations may help to reduce the reading time with high diagnostic performance and confidence.

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Section: Discussionsupporting

confidence: 44%

Section: Discussionmentioning

confidence: 99%

Breast Computed Tomography

et al. 2021

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“…In order to increase diagnostic accuracy of mammography, quality criteria have been established, such as the PGMI (Perfect, Good, Moderate, Inadequate) assessment system introduced by the National Health Service Breast Screening Programme, 17 and the Breast imagingreporting and data system (BI-RADS) implemented by the American College of Radiology. 14 Jung et al 18 have demonstrated that BI-RADS criteria to describe intramammary lesions can be successfully applied to B-CT reports. However, so far, no comprehensive standards have been established for evaluating overall B-CT image quality.…”

Section: Discussionmentioning

confidence: 99%

Clinical assessment of image quality, usability and patient comfort in dedicated spiral breast computed tomography

et al. 2022

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“…The advantages of 3D ultrasound validation include a reduction in the number of core samples required in order to achieve a reliable histological diagnosis and a possible reduction in the risk of tumor cell displacement (Delle Chiaie and Terinde 2004, Smith, et al 2001). A retrospective study showed the false-negative of US-guided 14-gauge CNBs for breast lesions rate was 2.0% with a sensitivity of 95.4%(Jung, et al 2017).…”

Section: Ultrasound Image–guided Biopsy Of Breast Cancermentioning

confidence: 99%

Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

Guo

Qin

et al. 2018

Ultrasound in Medicine & Biology

299

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Ultrasound imaging is a commonly used modality for breast cancer detection and diagnosis. In this review, we summarize ultrasound imaging technologies and their clinical applications for the management of breast cancer patients. The technologies include ultrasound elastography, contrast-enhanced ultrasound, 3-D ultrasound, automatic breast ultrasound and computer-aided detection of breast ultrasound. We summarize the study results seen in the literature and discuss their future directions. We also provide a review of ultrasound-guided, breast biopsy and the fusion of ultrasound with other imaging modalities, especially magnetic resonance imaging (MRI). For comparison, we also discuss the diagnostic performance of mammography, MRI, positron emission tomography and computed tomography for breast cancer diagnosis at the end of this review. New ultrasound imaging techniques, ultrasound-guided biopsy and the fusion of ultrasound with other modalities provide important tools for the management of breast patients.

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Potential Use of American College of Radiology BI-RADS Mammography Atlas for Reporting and Assessing Lesions Detected on Dedicated Breast CT Imaging

Cited by 6 publications

References 28 publications

Breast Computed Tomography

Breast Computed Tomography

Clinical assessment of image quality, usability and patient comfort in dedicated spiral breast computed tomography

Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review

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