Potential of non-contrast spiral breast CT to exploit lesion density and favor breast cancer detection: A pilot study.

Purpose: To assess the density values of breast lesions and breast tissue using non-contrast spiral breast CT (nc-SBCT) imaging.

Method: In this prospective study women undergoing nc-SBCT between April-October 2023 for any purpose were included in case of: histologically proven malignant lesion (ML); fibroadenoma (FA) with histologic confirmation or stability > 24 months (retrospectively); cysts with ultrasound correlation; and women with extremely dense breast (EDB) and no sonographic findings. Three regions of interest were placed on each lesion and 3 different area of EDB.

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.

Objective: In this study, we investigate the feasibility of a deep Convolutional Neural Network (dCNN), trained with mammographic images, to detect and classify microcalcifications (MC) in breast-CT (BCT) images.

Methods: This retrospective single-center study was approved by the local ethics committee. 3518 icons generated from 319 mammograms were classified into three classes: "no MC" (1121), "probably benign MC" (1332), and "suspicious MC" (1065).

Dedicated breast computed-tomography in women with a personal history of breast cancer: A proof-of-concept study.

Purpose: To compare the subjective image quality assessment using B-CT and digital mammography in women with personal history of breast cancer (PHBC).

Method: In this retrospective study 32 patients with PHBC were included. Each patient had undergone a B-CT examination and a previous mammogram in a time interval of less than 18 months between the two examinations.

Systematic analysis of changes in radiomics features during dynamic breast-MRI: Evaluation of specific biomarkers.

Objectives: In this retrospective, single-center study we investigate the changes of radiomics features during dynamic breast-MRI for healthy tissue compared to benign and malignant lesions.

Methods: 60 patients underwent breast-MRI using a dynamic 3D gradient-echo sequence. Changes of 34 texture features (TF) in 30 benign and 30 malignant lesions were calculated for 5 dynamic datasets and corresponding 4 subtraction datasets.

Clinical assessment of image quality, usability and patient comfort in dedicated spiral breast computed tomography.

Objective: To investigate aspects of image quality, feasibility and patient comfort in dedicated spiral breast computed tomography (B-CT) in a large patient cohort.

Methods: This retrospective study was approved by the institutional review board. 2418 B-CT scans from 1222 women examined between 04/16/2019 and 04/13/2022 were analyzed.