Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.

Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing patient prognosis. In this study, we focus on improving the early detection and accurate diagnosis of breast abnormalities, which is crucial for improving patient outcomes and reducing the mortality rate of breast cancer.

Feature fusion Siamese network for breast cancer detection comparing current and prior mammograms.

Purpose: Automatic detection of very small and nonmass abnormalities from mammogram images has remained challenging. In clinical practice for each patient, radiologists commonly not only screen the mammogram images obtained during the examination, but also compare them with previous mammogram images to make a clinical decision. To design an artificial intelligence (AI) system to mimic radiologists for better cancer detection, in this work we proposed an end-to-end enhanced Siamese convolutional neural network to detect breast cancer using previous year and current year mammogram images.

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review.

The relatively recent reintroduction of deep learning has been a revolutionary force in the interpretation of diagnostic imaging studies. However, the technology used to acquire those images is undergoing a revolution itself at the very same time. Digital breast tomosynthesis (DBT) is one such technology, which has transformed the field of breast imaging.

Convolutional neural network for automated mass segmentation in mammography.

Background: Automatic segmentation and localization of lesions in mammogram (MG) images are challenging even with employing advanced methods such as deep learning (DL) methods. We developed a new model based on the architecture of the semantic segmentation U-Net model to precisely segment mass lesions in MG images. The proposed end-to-end convolutional neural network (CNN) based model extracts contextual information by combining low-level and high-level features.

Deep convolutional neural networks for mammography: advances, challenges and applications.

Background: The limitations of traditional computer-aided detection (CAD) systems for mammography, the extreme importance of early detection of breast cancer and the high impact of the false diagnosis of patients drive researchers to investigate deep learning (DL) methods for mammograms (MGs). Recent breakthroughs in DL, in particular, convolutional neural networks (CNNs) have achieved remarkable advances in the medical fields. Specifically, CNNs are used in mammography for lesion localization and detection, risk assessment, image retrieval, and classification tasks.

Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial.

Purpose To assess concordance and relative prognostic utility between central core laboratory and local site interpretation for significant coronary artery disease (CAD) and cardiovascular events. Materials and Methods In the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial, readers at 193 North American sites interpreted coronary computed tomographic (CT) angiography as part of the clinical evaluation of stable chest pain. Readers at a central core laboratory also interpreted CT angiography blinded to clinical data, site interpretation, and outcomes.

Effect of Adjuvant Chemotherapy on Left Ventricular Remodeling in Women with Newly Diagnosed Primary Breast Cancer: A Pilot Prospective Longitudinal Cardiac Magnetic Resonance Imaging Study.

Purpose: The aim of this study was to assess the left ventricular (LV) remodeling response to chemotherapy in low-cardiac-risk women with newly diagnosed nonmetastatic breast cancer. Cardiotoxic effects of chemotherapy are an increasing concern. To effectively interpret cardiac imaging studies performed for screening purposes in patients undergoing cancer therapy it is necessary to understand the normal changes in structure and function that may occur.

Doxorubicin-induced cardiomyopathy 17 years after chemotherapy.

Doxorubicin, an anthracycline antibiotic commonly used as a chemotherapeutic agent for breast cancer, is well known to cause cardiotoxicity. We report the case of an active, otherwise healthy 57-year-old breast cancer survivor who, 17 years after chemotherapy, presented with symptoms of overt heart failure. She had no cardiac risk factors, and neither laboratory nor imaging findings suggested myocarditis or dilated cardiomyopathy.

Posterolateral corner reconstruction of the knee: evaluation of a technique with clinical outcomes and stress radiography.

Background: Injuries to the posterolateral corner of the knee remain a challenging problem and have been cited frequently as a reason for failure of anterior and posterior cruciate ligament reconstructions. Although several reconstructive techniques currently exist, there are relatively few clinical outcomes data after reconstruction of the posterolateral corner.

Purpose: The study was undertaken to examine the clinical outcomes and provide objective data using arthrometry and stress radiography of a posterolateral corner reconstruction technique.

Neuroimaging findings and brain-behavioral correlates in a former boxer with chronic traumatic brain injury.

Chronic traumatic brain injury (CTBI) is associated with contact sports such as boxing. CTBI results from repetitive blows to the head rather than from a single impact. CTBI individuals present with motor symptoms (incoordination, spasticity, parkinsonism), cognitive impairment (executive dysfunction, memory deficits) and neuropsychiatric symptoms (irritability, affective disturbances).

Alcohol dementia and thermal dysregulation: a case report and review of the literature.

Wernicke's encephalopathy and Korsakoff's psychosis in alcoholics are thought to be due to thiamine deficiency. When the process goes untreated, patients may develop alcohol-induced persisting dementia. We review the literature on thermal dysregulation and the place of thiamine treatment in Wernicke's encephalopathy, Korsakoff's psychosis, and alcohol-induced persisting dementia.

The 'cardiac-lung mass' artifact: an echocardiographic sign of lung atelectasis and/or pleural effusion.

Introduction: We conducted an ultrasound study to investigate echocardiographic artifacts in mechanically ventilated patients with lung pathology.

Methods: A total of 205 mechanically ventilated patients who exhibited lung atelectasis and/or pleural effusion were included in this 36-month study. The patients underwent lung echography and transthoracic echocardiography, with a linear 5 to 10 MHz and with a 1.

Electroconvulsive therapy and venous angiomas: two case reports and review of the literature.

According to the American Psychiatric Association, the risk for complications related to the electroconvulsive therapy (ECT) treatment of patients with cerebrovascular malformations is small. The literature contains a number of case studies presenting the uneventful treatment of patients with cerebral aneurysms with ECT. However, there is a paucity of cases presenting ECT in the context of a cerebral venous angioma.

Germinoma-unusual presentation: a case report.

Germinoma accounts for two-thirds of germ cell tumors and about 40% of all pineal region neoplasms. This case illustrates an unusual manifestation of metatastic germinoma with spread to ventricles and meninges without a pineal mass. A 24-year-old man presented with nausea, vertigo, and left facial droop.