Painful scoliosis in an adolescent: a diagnostic dilemma.

Osteoid osteoma is a benign bone-forming tumour, seen more frequently in males than females, during the first three decades of their life. It accounts for 3% of all bone neoplasms and 10-12% of benign bone lesions. The spine is involved in approximately 10-20% of cases.

Mechanical thrombectomy for the management of iliofemoral deep venous thrombosis in the second trimester of pregnancy secondary to May-Thurner syndrome.

Treatment of pregnancy-related venous thromboembolism is limited by considerations of the health risks to both the patient and fetus. Anticoagulation is the cornerstone treatment for pregnancy-related venous thromboembolism; however, early thrombus removal may be preferred for prompt symptom resolution and to decrease the risk of post-thrombotic syndrome. We report the successful treatment of a patient in the second trimester of pregnancy with symptomatic iliofemoral deep venous thrombosis and May-Thurner syndrome using percutaneous mechanical thrombectomy.

Presegmenter Cascaded Framework for Mammogram Mass Segmentation.

Accurate segmentation of breast masses in mammogram images is essential for early cancer diagnosis and treatment planning. Several deep learning (DL) models have been proposed for whole mammogram segmentation and mass patch/crop segmentation. However, current DL models for breast mammogram mass segmentation face several limitations, including false positives (FPs), false negatives (FNs), and challenges with the end-to-end approach.

Digital mammography dataset for breast cancer diagnosis research (DMID) with breast mass segmentation analysis.

In the last two decades, computer-aided detection and diagnosis (CAD) systems have been created to help radiologists discover and diagnose lesions observed on breast imaging tests. These systems can serve as a second opinion tool for the radiologist. However, developing algorithms for identifying and diagnosing breast lesions relies heavily on mammographic datasets.

Inferring bacterial transmission dynamics using deep sequencing genomic surveillance data.

Identifying and interrupting transmission chains is important for controlling infectious diseases. One way to identify transmission pairs - two hosts in which infection was transmitted from one to the other - is using the variation of the pathogen within each single host (within-host variation). However, the role of such variation in transmission is understudied due to a lack of experimental and clinical datasets that capture pathogen diversity in both donor and recipient hosts.