Breast cancer detection and classification with digital breast tomosynthesis: a two-stage deep learning approach.

Purpose: The purpose of this study was to propose a new computer-assisted two-staged diagnosis system that combines a modified deep learning (DL) architecture (VGG19) for the classification of digital breast tomosynthesis (DBT) images with the detection of tumors as benign or cancerous using the You Only Look Once version 5 (YOLOv5) model combined with the convolutional block attention module (CBAM) (known as YOLOv5-CBAM).

Methods: In the modified version of VGG19, eight additional layers were integrated, comprising four batch normalization layers and four additional pooling layers (two max pooling and two average pooling). The CBAM was incorporated into the YOLOv5 model structure after each feature fusion.

Patient, Referring Physician, and Radiologist Opinions Over Time on Providing Patients Access to Radiology Reports: A Systematic Review.

Objective: Patients increasingly have access to their radiology reports. This systematic review examined the opinions of patients, referring physicians, and radiologists over time on providing patients full access to their radiology reports.

Methods: A systematic review examining quantitative, qualitative, and mixed methods research using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO CRD42023466502).

Proposing Multiregional Diagnostic Reference Levels for Common CT Angiography Examinations in Saudi Arabia.

Objectives: Diagnostic reference levels (DRLs) are crucial tools for optimizing radiation exposure during different radiological examinations. This study aimed to establish preliminary DRLs for commonly performed computed tomographic angiography (CTA) examinations in Saudi Arabia.

Methods: Data for three types of CTA examinations (cerebral, pulmonary, and lower-extremity) were collected from six medical cities across Saudi Arabia.

Assessment of Pregnant Women's Knowledge and Perceptions of Antenatal Ultrasound in Saudi Arabia.

This study aims to evaluate pregnant women's knowledge of antenatal ultrasound in Saudi Arabia and its correlation with demographic factors like age and education to enhance prenatal care. A cross-sectional study was conducted in six Saudi Arabian hospitals, involving 22 questions split between sociodemographic information and knowledge of antenatal ultrasound. Descriptive statistics were used to characterize the participants' demographics and responses.

Patient perspectives on ionising radiation exposure from computed tomography in Saudi Arabia: a knowledge and perception study.

The objective of this study was to evaluate patient knowledge and understanding of ionising radiation and dosage, as well as the accompanying risks related to computed tomography scans. A total of 412 outpatients who underwent computed tomography (CT) scans were surveyed to assess their understanding of radiation dose and exposure risks. CT was correctly classified as an ionising radiation by 56.