Early screening is an important means to reduce breast cancer mortality. In order to solve the problem of low breast cancer screening rates caused by limited medical resources in remote and impoverished areas, this paper designs a breast cancer screening system aided with portable ultrasound Clarius. The system automatically segments the tumor area of the B-ultrasound image on the mobile terminal and uses the ultrasound radio frequency data on the cloud server to automatically classify the benign and malignant tumors. Experimental results in this study show that the accuracy of breast tumor segmentation reaches 98%, and the accuracy of benign and malignant classification reaches 82%, and the system is accurate and reliable. The system is easy to set up and operate, which is convenient for patients in remote and poor areas to carry out early breast cancer screening. It is beneficial to objectively diagnose disease, and it is the first time for the domestic breast cancer auxiliary screening system on the mobile terminal.
Breast/pathology* ; Breast Neoplasms/pathology* ; Diagnosis, Computer-Assisted ; Early Detection of Cancer ; Female ; Humans ; Ultrasonography ; Ultrasonography, Mammary/methods*

OBJECTIVE: To evaluate the value of ultrasound S-Detect in the diagnosis of breast masses. METHODS: A total of 85 breast masses in 62 female patients were diagnosed by S-Detect technique and conventional ultrasound. The diagnostic efficacy of conventional ultrasound and S-Detect technique was analyzed and compared with postoperative pathological results as the gold standard. RESULTS: When operated by junior physicians, the diagnostic efficacy of conventional ultrasound was significantly lower than that of S-Detect technique (P < 0.05), but this difference was not observed in moderately experienced and senior physicians (P>0.05). S-Detect technique was positively correlated with the diagnostic results of senior physicians (r=0.97). Using S-Detect technique, the diagnostic efficacy did not differ significantly between the long axis section and its vertical section (P>0.05). Routine ultrasound showed a better diagnostic efficacy than S-Detect for breast masses with a diameter below 20 mm (P < 0.05), but for larger breast masses, its diagnostic efficacy was significantly lower than that of SDetect (P < 0.05). CONCLUSION S-Detect can be used in differential diagnosis of benign and malignant breast masses, and its diagnostic efficiency can be comparable with that of BI-RADS classification for moderately experienced and senior physicians, but its diagnostic efficacy can be low for breast masses less than 20 mm in diameter.
Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; Diagnosis, Differential ; Female ; Humans ; Sensitivity and Specificity ; Ultrasonics ; Ultrasonography ; Ultrasonography, Mammary/methods*

Breast cancer has now become the leading cancer in women. The development of breast ultrasound artificial intelligence (AI) diagnostic technology is conducive to promoting the precise diagnosis and treatment of breast cancer and alleviating the heavy medical burden due to the unbalanced regional development in China. In recent years, on the basis of improving diagnostic efficiency, AI technology has been continuously combined with various clinical application scenarios, thereby providing more comprehensive and reliable evidence-based suggestions for clinical decision-making. Although AI diagnostic technologies based on conventional breast ultrasound gray-scale images and cutting-edge technologies such as three-dimensional (3D) imaging and elastography have been developed to some extent, there are still technical pain points, diffusion difficulties and ethical dilemmas in the development of AI diagnostic technologies for breast ultrasound.
Artificial Intelligence ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; Elasticity Imaging Techniques/methods* ; Female ; Humans ; Ultrasonography, Mammary/methods*

BACKGROUND: Flap volume is an important factor for obtaining satisfactory symmetry in breast reconstruction with a transverse rectus abdominis myocutaneous (TRAM) free flap. We aimed to develop an easy and simple method to estimate flap volume. METHODS: We performed a preoperative estimation of the TRAM flap volume in five patients with breast cancer who underwent 2-stage breast reconstruction following an immediate tissue expander operation after a simple mastectomy. We measured the height and width of each flap zone using a ruler and measured the tissue thickness by ultrasound. The volume of each zone, approximated as a triangular or square prism, was then calculated. The zone volumes were summed to obtain the total calculated volume of the TRAM flap. We then determined the width of zone II, so that the calculated flap volume was equal to the required flap volume (1.2×1.05×the weight of the resected mastectomy tissue). The TRAM flap was transferred vertically so that zone III was located on the upper side, and zone II was trimmed in the sitting position after vascular anastomosis. We compared the estimated flap width of zone II (=X) with the actual flap width of zone II. RESULTS: X was similar to the actual measured width. Accurate volume replacement with the TRAM flap resulted in good symmetry in all cases. CONCLUSIONS: The volume of a free TRAM flap can be straightforwardly estimated preoperatively using the method presented here, with ultrasound, ruler, and simple calculations, and this technique may help reduced the time required for precise flap tailoring.
Breast Neoplasms ; Breast* ; Diagnostic Imaging ; Female ; Free Tissue Flaps* ; Humans ; Mammaplasty* ; Mammary Glands, Human ; Mastectomy ; Mastectomy, Simple ; Methods ; Rectus Abdominis* ; Tissue Expansion Devices* ; Ultrasonography

Since breast ultrasonography (US) has been used as an adjunctive screening modality in women with dense breasts, the need has arisen to evaluate and monitor its possible harm and benefits in comparison with other screening modalities such as mammography. Recently, the fifth edition of the Breast Imaging Reporting and Data System published by the American College of Radiology has suggested auditing methods for screening breast US. However, the method proposed therein is slightly different from how diagnostic performance was calculated in previous studies on screening breast US. In this article, the background and core aspects of medical audits of breast cancer screening will be reviewed to provide an introduction to the medical auditing of screening breast US, with the goal of helping radiologists to understand and identify potential ways to improve outcomes.
Breast ; Breast Neoplasms ; Female ; Humans ; Information Systems ; Mammography ; Mass Screening* ; Medical Audit* ; Methods ; Ultrasonography* ; Ultrasonography, Mammary

PURPOSE: We aimed to compare the detection of breast cancer using full-field digital mammography (FFDM), FFDM with computer-aided detection (FFDM+CAD), ultrasound (US), and FFDM+CAD plus US (FFDM+CAD+US), and to investigate the factors affecting cancer detection. METHODS: In this retrospective study conducted from 2008 to 2012, 48,251 women underwent FFDM and US for cancer screening. One hundred seventy-one breast cancers were detected: 115 invasive cancers and 56 carcinomas in situ. Two radiologists evaluated the imaging findings of FFDM, FFDM+CAD, and US, based on the Breast Imaging Reporting and Data System lexicon of the American College of Radiology by consensus. We reviewed the clinical and the pathological data to investigate factors affecting cancer detection. We statistically used generalized estimation equations with a logit link to compare the cancer detectability of different imaging modalities. To compare the various factors affecting detection versus nondetection, we used Wilcoxon rank sum, chi-square, or Fisher exact test. RESULTS: The detectability of breast cancer by US (96.5%) or FFDM+CAD+US (100%) was superior to that of FFDM (87.1%) (p=0.019 or p<0.001, respectively) or FFDM+ CAD (88.3%) (p=0.050 or p<0.001, respectively). However, cancer detectability was not significantly different between FFDM versus FFDM+CAD (p=1.000) and US alone versus FFDM+CAD+US (p=0.126). The tumor size influenced cancer detectability by all imaging modalities (p<0.050). In FFDM and FFDM+CAD, the nondetecting group consisted of younger patients and patients with a denser breast composition (p<0.050). In breast US, carcinoma in situ was more frequent in the nondetecting group (p=0.014). CONCLUSION: For breast cancer screening, breast US alone is satisfactory for all age groups, although FFDM+ CAD+US is the perfect screening method. Patient age, breast composition, and pathological tumor size and type may influence cancer detection during screening.
Breast Neoplasms* ; Breast* ; Carcinoma in Situ ; Consensus ; Diagnosis, Computer-Assisted ; Early Detection of Cancer ; Female ; Humans ; Information Systems ; Mammography* ; Mass Screening* ; Methods ; Retrospective Studies ; Ultrasonography* ; Ultrasonography, Mammary

OBJECTIVETo investigate the effectiveness of microbubble-enhanced ultrasound (MEUS) for detecting perforators preoperatively in supraclavicular flap surgery.

METHODSFrom May 2009 to October 2013, there were 20 patients (26 flaps were involved) who planned to undergo supraclavicular artery based flap surgeries to recover the large-area defects in head and neck. The MEUS together with regular color Doppler ultrasound ( CDUS) were conducted preoperatively to determine the anatomical features of perforators branching from supraclavicular arteries (SCA). The perforator with wider caliber, faster flow speed, longer pedicles and closer pivot point was selected and the flap was designed according to the observed results.

RESULTSThere were 37 perforators of SCA detected by CDUS, whose calibers were ranging from 0.5 to 0.8 mm [Mean: (0.6 ± 0.1) mm]. There were 48 perforators of SCA detected by MEUS. Compared to CDUS, the caliber obtained from MEUS for same vessel is significantly increased [(0.7 ± 0.3) mm vs (0.6 ± 0.1) mm, P < 0.05]. According to the results of MEUS and three-dimensional reconstructive techniques, in at least 65.4% (17/26) of the flaps, thoracic branch of SCA (TBSA) has large caliber and good flow velocity which can be regarded as the predominant vessel and used as the pedicle of flap. The results of the operations confirmed the existences of all the marked vessels. 25 flaps were obtained according to the preoperative plans and one case used perforators of internal mammary artery as free flaps since the perforator of SCA was found improper. The contrast-related complication occurred in one patient which was manifested by gastrointestinal adverse effect like nausea and anorexia. The patient recovered 1 day later without treatment. All the patients have been followed up for 3 to 16 months (Mean: 8 months) with well-survived flaps.

CONCLUSIONSThe perforators of SCA demonstrated significant variations and preoperative mapping was vital for the success of surgery. MEUS is a valuable imaging modality for the preoperative assessment of the vascular supply for supraclavicular artery based flap.

Arteries ; diagnostic imaging ; Humans ; Mammary Arteries ; Microbubbles ; Neck ; surgery ; Perforator Flap ; Reconstructive Surgical Procedures ; Ultrasonography ; methods

PURPOSE: To show the results of an audit of screening breast ultrasound (US) in women with negative mammography in a single institution and to analyze US-detected cancers within a year and interval cancers. MATERIALS AND METHODS: During the year of 2006, 1974 women with negative mammography were screened with US in our screening center, and 1727 among them had pathologic results or any follow up breast examinations more than a year. We analyzed the distribution of Breast Imaging Reporting and Data System (BI-RADS) category and the performance outcome through follow up. RESULTS: Among 1727 women (age, 30-76 years, median 49.5 years), 1349 women (78.1%) showed dense breasts on mammography, 762 (44.1%) had previous breast US, and 25 women (1.4%) had a personal history of breast cancers. Test negatives were 94.2% (1.627/1727) [BI-RADS category 1 in 885 (51.2%), 2 in 742 (43.0%)]. The recall rate (=BI-RADS category 3, 4, 5) was 5.8%. Eight cancers were additionally detected with US (yield, 4.6 per 1000). The sensitivity, specificity, and positive predictive value (PPV1, PPV2) were 88.9%, 94.6%, 8.0%, and 28.0%, respectively. Eight of nine true positive cancers were stage I or in-situ cancers. One interval cancer was stage I cancer from BI-RADS category 2. CONCLUSION: Screening US detected 4.6 additional cancers among 1000. The recall rate was 5.8%, which is in lower bound of acceptable range of mammography (5-12%), according to American College of Radiology standard.
Adult ; Aged ; Breast/pathology ; Breast Neoplasms/*diagnosis/*radiography/*ultrasonography ; Female ; Humans ; Mammography/*methods ; Mass Screening/*methods ; Middle Aged ; Sensitivity and Specificity ; Ultrasonography/methods ; *Ultrasonography, Mammary

OBJECTIVE: To compare the diagnostic performance of digital breast tomosynthesis (DBT) and conventional breast ultrasound (US) to characterize breast lesions as benign or malignant. MATERIALS AND METHODS: A total of 332 women, presenting for screening examinations or for breast biopsy between March and June 2012 were recruited to undergo digital mammography (DM), DBT, and breast US examination. Among them, 113 patients with 119 breast lesions depicted on DM were finally included. Three blinded radiologists performed an enriched reader study and reviewed the DBT and US images. Each reader analyzed the lesions in random order, assigned Breast Imaging Reporting and Data System (BI-RADS) descriptors, rated the images for the likelihood of malignancy (%) and made a BI-RADS final assessment. Diagnostic accuracy, as assessed by the area under the receiver operating characteristic curve, sensitivity, and specificity of DBT and US were compared. RESULTS: Among the 119 breast lesions depicted on DM, 75 were malignant and the remaining 44 were benign. The average diagnostic performance for characterizing breast lesions as benign or malignant in terms of area under the curve was 0.899 for DBT and 0.914 for US (p = 0.394). Mean sensitivity (97.3% vs. 98.7%, p = 0.508) and specificity (44.7% vs. 39.4%, p = 0.360) were also not significantly different. CONCLUSION: Digital breast tomosynthesis may provide similar reader lesion characterization performance to that of US for breast lesions depicted on DM.
Adult ; Aged ; Biopsy ; Breast/*pathology ; Breast Neoplasms/*diagnosis/radiography/ultrasonography ; Female ; Humans ; Mammography/*methods ; Middle Aged ; ROC Curve ; Radiographic Image Enhancement/*methods ; Retrospective Studies ; Sensitivity and Specificity ; Ultrasonography, Mammary/*methods

Women who have been treated for breast cancer are at risk for second breast cancers, such as ipsilateral recurrence or contralateral metachronous breast cancer. As the number of breast cancer survivors increases, interest in patient management and surveillance after treatment has also increased. However, post-treatment surveillance programs for patients with breast cancer have not been firmly established. In this review, we focus on the imaging modalities that have been used in post-treatment surveillance for patients with breast cancer, such as mammography, ultrasonography, magnetic resonance imaging, and positron emission tomography, the effectiveness of each modality for detecting recurrence, and how they can be applied to manage patients.
Breast Neoplasms/*radiography/therapy/*ultrasonography ; Female ; Fluorodeoxyglucose F18/diagnostic use ; Humans ; Magnetic Resonance Imaging/methods ; Mammography/*methods ; Neoplasm Metastasis/*diagnosis ; Neoplasm Recurrence, Local/*diagnosis ; Positron-Emission Tomography/methods ; Sensitivity and Specificity ; Ultrasonography, Mammary