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This study aimed to assess the utility of second-look ultrasonography (US) in differentiating breast imaging reporting and data system (BI-RADS) 4 calcifications initially detected on mammography (MG). BI-RADS 4 calcifications have a wide range of positive predictive values. We hypothesized that second-look US would help distinguish BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG. This study included 1622 pure BI-RADS 4 calcifications in 1510 women (112 patients with bilateral calcifications). The cases were randomly divided into training (85%) and testing (15%) datasets. Two nomograms were developed to differentiate BI-RADS 4 calcifications in the training dataset: the MG-US nomogram, based on multifactorial logistic regression and incorporated clinical information, MG, and second-look US characteristics, and the MG nomogram, based on clinical information and mammographic characteristics. Calibration of the MG-US nomogram was performed using calibration curves. The discriminative ability and clinical utility of both nomograms were compared using the area under the receiver operating characteristic curve (AUC) and the decision analysis curve (DCA) in the test dataset. The clinical information and imaging characteristics were comparable between the training and test datasets. The bias-corrected calibration curves of the MG-US nomogram closely approximate the ideal line for both datasets. In the test dataset, the MG-US nomogram exhibited a higher AUC than the MG nomogram (0.899 vs 0.852, P = .01). DCA demonstrated the superiority of the MG-US nomogram over the MG nomogram. Second-look US features, including ultrasonic calcifications, lesions, and moderate or marked color flow, were valuable for distinguishing BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG.
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http://dx.doi.org/10.1097/MD.0000000000038841 | DOI Listing |
Eur J Radiol
October 2025
Department of Radiological Sciences, University of California, Irvine, CA, United States; Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address:
Objectives: To compare the malignancy rate of architectural distortion (AD) on DBT, shown as the prominent feature or as the associated feature coexisting with other significant radiological findings.
Methods: 537 diagnostic patients who had symptoms or abnormal imaging findings were analyzed, 305 malignant and 232 benign. They were selected based on the original DBT report mentioning AD.
Quant Imaging Med Surg
August 2025
Department of Breast Radiology, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, China.
Background: Although breast cancer is rare in young women under 30 years of age, its incidence has been increasing among younger populations in recent years. Identifying the immunohistochemical molecular subtype of early-stage noninvasive breast cancer is thus crucial for optimizing therapeutic strategies. This study aimed to investigate the correlation between multimodal imaging features-including ultrasound (US), digital mammography (DM), and digital breast tomosynthesis (DBT)-and immunohistochemical molecular subtypes in young patients with breast cancer (≤30 years) and middle-aged patients with breast cancer (45-55 years).
View Article and Find Full Text PDFCancer Rep (Hoboken)
August 2025
Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Background: Invasive ductal carcinoma (IDC), the most common breast cancer subtype, exhibits significant heterogeneity, limiting traditional prognostic markers. Molecular profiles improve precision, but imaging features may also reflect tumor biology.
Aims: This study evaluates the predictive potential and clinical applicability of ultrasound features for determining tumor grade and molecular profiles in IDC.
Medicina (Kaunas)
July 2025
Department of Obstetrics and Gynecology, Victor Babeş University of Medicine and Pharmacy, 300041 Timișoara, Romania.
: The accuracy of breast cancer diagnosis depends on the concordance between imaging features and pathological findings. While BI-RADS (Breast Imaging Reporting and Data System) provides standardized risk stratification, its correlation with histologic grade and immunohistochemical markers remains underexplored. This study assessed the diagnostic performance of BI-RADS 3, 4, and 5 classifications and their association with tumor grade and markers such as ER, PR, HER2, and Ki-67.
View Article and Find Full Text PDFFront Oncol
June 2025
Department of Radiology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, Shenzhen, China.
Background: Current management of ductal carcinoma in situ lacks robust risk stratification tools, leading to universal surgical and radiotherapy interventions despite heterogeneous progression risks. Optimizing therapeutic balance remains a critical unmet clinical need.
Materials And Methods: We retrospectively analyzed two patient cohorts.