Objective: To investigate the attitudes of radiologists toward palpable breast masses with benign features on US and to determine the factors influencing their decision.
Methods: A 20-question online questionnaire was sent to radiologists with membership of the Iranian Society of Radiology and included questions regarding demographics, practice experience, and management approach to palpable circumscribed breast masses based on patient age and risk factors. Radiologists' management choice for masses in themselves or close relatives/friends was also queried.
Results: In total, 151 radiologists participated (response rate 16%). For palpable breast masses with benign imaging features in women at high risk, the majority of radiologists selected MRI (95/151, 62.9%) and core-needle biopsy (110/151, 72.8%). In average-risk patients, radiologists with >5 years of practice experience selected biopsy more frequently (33/79, 41.8%) than less experienced radiologists (17/79, 23.6%) for patients ≥40 years old (P < 0.001) and patients <40 years old (20/79, 25.3%; 11/72, 15.3%, respectively) (P = 0.014). Similarly, selecting biopsy was more common in radiologists who completed a breast imaging fellowship for patients ≥40 years old (23/45, 51.1% vs 27/106, 25.5%) (P = 0.04), as well as for patients <40 years old (18/45, 40% vs 13/106, 12.3%) (P = 0.02). Radiologists who were <40 years old selected biopsy more frequently if evaluating a mass in themselves (22/86, 25.6%) compared to patients (15/86, 17.4%) (P < 0.001).
Conclusion: Radiologist experience and educational background, as well as patient baseline breast cancer risk, can predispose radiologists to choose biopsy for palpable breast masses despite a benign appearance on imaging.
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http://dx.doi.org/10.1093/jbi/wbad002 | DOI Listing |
Zhonghua Bing Li Xue Za Zhi
February 2025
Department of Pathology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou 215002, China.
To investigate the clinicopathological characteristics of solid, endometrial-like and transitional (SET) cell growth subtype in high-grade serous ovarian carcinoma (HGSC). Clinical data of 25 cases of HGSC-SET were collected from January 2020 to March 2024 at the Affiliated Suzhou Hospital of Nanjing Medical University, and their histological features were analyzed. Immunohistochemical stains were used to analyze the expression of ER, PR, PAX8, WT-1, p16, p53 and Ki-67.
View Article and Find Full Text PDFInt J Med Inform
January 2025
School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, PR China. Electronic address:
Background: In the context of routine breast cancer diagnosis, the precise discrimination between benign and malignant breast masses holds utmost significance. Notably, few prior investigations have concurrently explored the integration of imaging histology features, deep learning characteristics, and clinical parameters. The primary objective of this retrospective study was to pioneer a multimodal feature fusion model tailored for the prediction of breast tumor malignancy, harnessing the potential of ultrasound images.
View Article and Find Full Text PDFCureus
December 2024
Neurological Surgery, Hospital Central do Funchal, Funchal, PRT.
Metastases to the pituitary gland are a rare finding, with breast and lung being the most common metastases in this anatomical region. Pituitary melanoma metastases reports are thus sparse, and both diagnosis and treatment are challenging. We present the case of a 66-year-old woman with pituitary melanoma metastasis who presented with symptoms of anterior pituitary dysfunction and headache.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
Background: Dedicated breast computed tomography (bCT) systems offer detailed imaging for breast cancer diagnosis and treatment. As new bCT generations are developed, it is important to evaluate their imaging performance and dose efficiency to understand differences over previous models.
Purpose: To characterize the imaging performance and dose efficiency of a second-generation (GEN2) bCT system and compare them to those of a first-generation (GEN1) system.
Int J Comput Assist Radiol Surg
January 2025
Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Martensstr. 3, 91058, Erlangen, Bayern, Germany.
Purpose: Breast cancer remains one of the most prevalent cancers globally, necessitating effective early screening and diagnosis. This study investigates the effectiveness and generalizability of our recently proposed data augmentation technique, attention-guided erasing (AGE), across various transfer learning classification tasks for breast abnormality classification in mammography.
Methods: AGE utilizes attention head visualizations from DINO self-supervised pretraining to weakly localize regions of interest (ROI) in images.
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