The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound

Schiaffino, Simone; Gristina, Licia; Tosto, Simona; Massone, Elena; Giorgis, Sara De; Garlaschi, Alessandro; Tagliafico, Alberto; Calabrese, Massimo

doi:10.1007/s11547-020-01250-7

Cited by 12 publications

(11 citation statements)

References 30 publications

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“…The robustness of these kinds of systems remains to be improved as variations in the images could lead to wrong removal. In this sense, the advantage of deep-learning-based methods is such that the robustness has been drastically enhanced [30][31][32][38][39][40][41][42][43]. However, deep-learning approach requires a very large number of images to be properly trained.…”

Section: Discussionmentioning

confidence: 99%

Comparison between two packages for pectoral muscle removal on mammographic images

et al. 2022

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Background Pectoral muscle removal is a fundamental preliminary step in computer-aided diagnosis systems for full-field digital mammography (FFDM). Currently, two open-source publicly available packages (LIBRA and OpenBreast) provide algorithms for pectoral muscle removal within Matlab environment. Purpose To compare performance of the two packages on a single database of FFDM images. Methods Only mediolateral oblique (MLO) FFDM was considered because of large presence of pectoral muscle on this type of projection. For obtaining ground truth, pectoral muscle has been manually segmented by two radiologists in consensus. Both LIBRA’s and OpenBreast’s removal performance with respect to ground truth were compared using Dice similarity coefficient and Cohen-kappa reliability coefficient; Wilcoxon signed-rank test has been used for assessing differences in performances; Kruskal–Wallis test has been used to verify possible dependence of the performance from the breast density or image laterality. Results FFDMs from 168 consecutive women at our institution have been included in the study. Both LIBRA’s Dice-index and Cohen-kappa were significantly higher than OpenBreast (Wilcoxon signed-rank test P < 0.05). No dependence on breast density or laterality has been found (Kruskal–Wallis test P > 0.05). Conclusion: Libra has a better performance than OpenBreast in pectoral muscle delineation so that, although our study has not a direct clinical application, these results are useful in the choice of packages for the development of complex systems for computer-aided breast evaluation.

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Section: Discussionmentioning

confidence: 99%

Comparison between two packages for pectoral muscle removal on mammographic images

et al. 2022

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“…Some unique features through multiplanar reconstructions can provide additional information for differentiating benign and malignant masses [20]. For example, the retraction phenomenon, as the speci c feature observed in ABUS coronal view, has been suggested to be a predictable characteristic of breast cancer [21]. Our previous studies have suggested that speci city and PPV were signi cantly higher in ABUS, compared with that of HHUS [22][23].…”

Section: Discussionmentioning

confidence: 99%

The potential of adding mammography to HHUS and ABUS to reduce unnecessary biopsies in BI-RADS ultrasound category 4a: a multicenter hospital-based study in China

Ren

Zhao

et al. 2022

Preprint

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Purpose This study compares image features influencing false-positive lesions in category 4a between handheld ultrasound (HHUS) and automated breast ultrasound (ABUS) and explores the role of second-look mammography (MAM) adjunct to US of 4a masses. Methods Women aged 30 to 69 underwent HHUS and ABUS from 2016 through 2017 at five high-level hospitals in China with those aged 40 or older also accepting MAM. Logistic regression analysis assessed image variables correlated with false-positive lesions in US category 4a. Unnecessary biopsies, invasive cancer (IC) yields, and diagnostic performance among different biopsy thresholds were compared. Results 1946 women (44.9±9.8 years) were eligible for analysis. 188 (9.66%) were categorized as category 4a in HHUS and 117 (6.01%) of ABUS. Orientation, architectural distortion, and duct change were independent factors associated with the false-positive lesions in 4a of HHUS, whereas premenopausal, size, calcification, and architectural distortion were significant features of ABUS (all P＜0.05). For HHUS, both unnecessary biopsy rate and IC yields were significantly reduced when changing biopsy thresholds by adding MAM for US 4a patients (scenario #1:BI-RADS 3, 4, and 5; scenario #2: BI-RADS 4 and 5) compared with the current scenario (all P＜0.05). However, scenario #1 reduced false-positive biopsies without affecting IC yields when compared to the current scenario for ABUS (P＜0.001; P=0.125). Conclusions The higher unnecessary biopsy rate of category 4a by ABUS was similar to HHUS. However, the second-look MAM adjunct to ABUS has the potential to safely reduce false-positive biopsies.

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“…Several studies have been investigating the benefits of concurrent-read CAD systems for interpretation of screening ABUS, and CAD seems to significantly reduce interpretation time, up to 35%, as well as improving diagnostic accuracy [42][43][44]. Another approach to speed up reading is the use of coronal plane only [45], but more work on this is required to ensure that sensitivity does not drop. Further work is required to evaluate the feasibility of CAD in a screening setting.…”

Section: Computer-aided Detection/diagnosismentioning

confidence: 99%

Automated Breast Ultrasound: Technical Aspects, Impact on Breast Screening, and Future Perspectives

Allajbeu

Hickman

Payne

et al. 2021

Curr Breast Cancer Rep

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Purpose of Review Automated breast ultrasound (ABUS) is a three-dimensional imaging technique, used as a supplemental screening tool in women with dense breasts. This review considers the technical aspects, pitfalls, and the use of ABUS in screening and clinical practice, together with new developments and future perspectives. Recent Findings ABUS has been approved in the USA and Europe as a screening tool for asymptomatic women with dense breasts in addition to mammography. Supplemental US screening has high sensitivity for cancer detection, especially early-stage invasive cancers, and reduces the frequency of interval cancers. ABUS has similar diagnostic performance to handheld ultrasound (HHUS) and is designed to overcome the drawbacks of operator dependence and poor reproducibility. Concerns with ABUS, like HHUS, include relatively high recall rates and lengthy reading time when compared to mammography. ABUS is a new technique with unique features; therefore, adequate training is required to improve detection and reduce false positives. Computer-aided detection may reduce reading times and improve cancer detection. Other potential applications of ABUS include local staging, treatment response evaluation, breast density assessment, and integration of radiomics. Summary ABUS provides an efficient, reproducible, and comprehensive supplemental imaging technique in breast screening. Developments with computer-aided detection may improve the sensitivity and specificity as well as radiologist confidence and reduce reading times, making this modality acceptable in large volume screening centers.

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The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound

Cited by 12 publications

References 30 publications

Comparison between two packages for pectoral muscle removal on mammographic images

Comparison between two packages for pectoral muscle removal on mammographic images

The potential of adding mammography to HHUS and ABUS to reduce unnecessary biopsies in BI-RADS ultrasound category 4a: a multicenter hospital-based study in China

Automated Breast Ultrasound: Technical Aspects, Impact on Breast Screening, and Future Perspectives

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