Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.

Accurate diagnosis of pancreatic cancer using CT scan images is critical for early detection and treatment, potentially saving numerous lives globally. Manual identification of pancreatic tumors by radiologists is challenging and time-consuming due to the complex nature of CT scan images and variations in tumor shape, size, and location of the pancreatic tumor also make it challenging to detect and classify different types of tumors. Thus, to address this challenge we proposed a four-stage framework of computer-aided diagnosis systems.

Occult metastases and survival of lung cancer by clinical diagnosis and CT screening: A simulation study.

Objectives: It is significant to know how much early detection and screening could reduce the proportion of occult metastases and benefit NSCLC patients.

Methods: We used previously designed and validated mathematical models to obtain the characteristics of LC in the population including undetectable metastases at the time of diagnosis. The survival was simulated using the survival functions from Surveillance, Epidemiology and End Results (SEER) data stratified by stage.

Identification of degenerative precursors at the wrist with advanced imaging: current updates.

Articular malalignment and ulnocarpal impaction can progress to osteoarthritis in the wrist. This may be triggered by tears of the scapholunate ligament (rarely the lunotriquetral ligament) or the foveal lamina of the triangular fibrocartilage complex. In the pre-degenerative stages, radiographic findings are inconclusive, and symptoms may be absent or discrete.

PSMA-PET/CT Findings in Patients With High-Risk Biochemically Recurrent Prostate Cancer With No Metastatic Disease by Conventional Imaging.

Importance: The phase 3 randomized EMBARK trial evaluated enzalutamide with or without leuprolide in high-risk nonmetastatic hormone-sensitive prostate cancer. Eligibility relied on conventional imaging, which underdetects metastatic disease compared with prostate-specific membrane antigen-positron emission tomography (PSMA-PET).

Objective: To describe the staging information obtained by PSMA-PET/computed tomography (PSMA-PET/CT) in a patient cohort eligible for the EMBARK trial.

Diagnostic Application of Bronchoalveolar Lavage Fluid Analysis in Cases of Idiopathic Pulmonary Fibrosis in which Diagnosis Cannot Be Confirmed by High-Resolution Computed Tomography.

Purpose: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disorder characterized by dry cough, fatigue, and exacerbated dyspnea. The prognosis of IPF is notably unfavorable, becoming extremely poor when the disease advances acutely. Effective therapeutic intervention is essential to mitigate disease progression; hence, early diagnosis and treatment are paramount.