BACKGROUND The aim of this study was to assess the diagnostic performance of stereotactic core needle breast biopsy using spring-loaded or vacuum-assisted techniques for impalpable microcalcification lesions in Taiwanese women. METHODS We retrospectively reviewed the data of patients who received stereotactic core needle breast biopsy for impalpable mammographic microcalcification lesions fro...

Purpose: This study aimed to evaluate the BRAF mutation status in papillary thyroid carcinoma (PTC) on the basis of ultrasound (US) features suspicious for malignancy. Methods: The clinical, pathologic, and radiologic characteristics of patients who were diagnosed with PTC from August 2014 to August 2015 were reviewed. A radiologist who was blinded to the BRAF status, independently reviewed all...

PURPOSE The aim of this study was to determine the causes and rate of failure in removing calcification in microcalcification-only lesions using 11-gauge stereotactic vacuum-assisted breast biopsy. MATERIALS AND METHODS In total, 1365 microcalcification-only lesions were included in this study. The breast biopsy database was reviewed retrospectively. The biopsies were divided into two groups ...

PURPOSE The authors develop a practical, iterative algorithm for image-reconstruction in undersampled tomographic systems, such as digital breast tomosynthesis (DBT). METHODS The algorithm controls image regularity by minimizing the image total p variation (TpV), a function that reduces to the total variation when p = 1.0 or the image roughness when p = 2.0. Constraints on the image, such as ...

This paper presents a combined system for detecting microcalcifications in mammographic images. The proposed approach analyses the mammograms using the parallel combination of two methods. One of the methods is a heuristic approach that is based on features used by humans to descript microcalcifications. Second approach applies a hierarchical neural structure trained on images already interpret...

In digital mammograms, granularity is an important image property for the detection of microcalcifications and masses. Therefore, we investigated the relationship between the conditions of various exposure doses and the detectability of RMI156 phantom images with and without image processing for the reduction of exposure dose. The images are processed with Gaussian filter and unsharp-masking fi...

The purpose of this work is to develop a new pattern recognition method using the higher-order autocorrelation features (HOAFs), and to apply this to our microcalcification detection system on mammographic images. Microcalcification is a typical sign of breast cancer and tends to show up as very subtle shadows. We developed a triplering filter for detecting microcalcifications, and the prototyp...

Department of Electronics Engineering, Govt. Model Engineering College, Thrikkakara, Kochi-682021, Kerala, India Corresponding Author: Rekha Lakshmanan ___________________________________________________________________________ Abstract Computer aided techniques can assists radiologists in detecting microcalcification, a crucial evidence in mammogram for the early diagnosis of breast cancer. A ...

Texture-based computer-aided diagnosis (CADx) of microcalcification clusters is more robust than the state-of-art shape-based CADx because the performance of shape-based approach heavily depends on the effectiveness of microcalcification (MC) segmentation. This paper presents a texture-based CADx that consists of two stages. The first one characterizes MC clusters using texture features from gr...