Purpose: To assess the effects of removal of all ultrasonographic (US) evidence of breast lesions by using a vacuum-assisted biopsy (VAB) device.
Materials And Methods: Thirty-four women with breast masses underwent US-guided biopsy with an 11-gauge VAB device, with which removal of all evidence of the lesion was attempted. Histologic findings were compared with results of surgery and follow-up imaging. Patient tolerance and perceptions of the procedure and the ability of the procedure to eliminate a palpable finding were evaluated with questionnaires and findings at follow-up physical examination.
Results: The biopsy protocol was completed in all cases. Twenty-six benign lesions (76%) and eight malignancies (24%) were diagnosed. After VAB, 10 patients (29%) underwent surgery on the basis of histologic findings of invasive carcinoma (n = 7), ductal carcinoma in situ (n = 1), lobular neoplasia (n = 1), or atypical ductal hyperplasia (n = 1). VAB resulted in complete excision of four of 10 lesions: two of eight malignancies and two of two benign lesions. Among 21 patients with benign lesions who underwent 6-month follow-up imaging, eight (38%) had a definite residual mass. At 6-month follow-up examination, VAB was seen to have eliminated the palpable abnormality in seven (88%) of eight patients with initially palpable benign masses. Thirty-two patients (94%) described no or mild pain during biopsy, and 33 patients (97%) rated care as excellent.
Conclusion: After removal of all US evidence of breast masses with a VAB device, there was a substantial probability that residual lesion that was not visualized during the procedure would later be found at surgery or follow-up imaging. A palpable mass (< or =1.2 cm in mean diameter) was eliminated in 88% of cases, and patient tolerance and perceptions of the procedure were favorable.
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http://dx.doi.org/10.1148/radiol.2272020476 | DOI Listing |
Med 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.
J Breast Imaging
January 2025
Department of Radiology, Moffitt Cancer Center, Tampa, FL, USA.
Cystic breast masses are a common entity encountered by breast radiologists. The imaging features of benign and malignant cystic masses may overlap, causing confusion and miscategorization with the potential to produce diagnostic delay and harm. This article provides a review of key differentiating imaging features that help guide appropriate mass characterization and treatment.
View Article and Find Full Text PDFExp Ther Med
February 2025
Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Occult breast cancer (OBC) is a relatively rare clinical condition that can complicate differential diagnosis efforts and delay the administration of specific treatments. The individualized therapy of patients with OBC should be performed based on their clinical symptoms, imaging findings and pathological diagnosis. The present case study describes a 51-year-old woman with a painless left axillary tumor.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
Electronics and Communication Engineering, IFET College of Engineering, Villupuram, Tamilnadu India.
Unlabelled: Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early detection and diagnosis. Despite the existence of intelligent deep learning models, their efficacy is often limited due to the oversight of small-sized masses, leading to false positive and false negative outcomes. This research introduces a novel segmentation-guided classification model developed to increase BC detection accuracy.
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