Research progress on deep learning in magnetic resonance imaging-based diagnosis and treatment of prostate cancer: a review on the current status and perspectives.

Multiparametric magnetic resonance imaging (mpMRI) has emerged as a first-line screening and diagnostic tool for prostate cancer, aiding in treatment selection and noninvasive radiotherapy guidance. However, the manual interpretation of MRI data is challenging and time-consuming, which may impact sensitivity and specificity. With recent technological advances, artificial intelligence (AI) in the form of computer-aided diagnosis (CAD) based on MRI data has been applied to prostate cancer diagnosis and treatment.

A Prospective Comparison of Transrectal Standard, Cognitive, Transperineal Fusion, and Mapping Prostate Biopsy for Cancer Detection.

The aim of this research was to compare the clinically significant prostate cancer (csPCa) detection rate (International Society of Urological Pathology [ISUP] ≥2) for the four biopsy methods: transrectal ultrasound-guided biopsy (TRUS-GB), cognitive transrectal biopsy (COG-TB), fusion transperineal biopsy (FUS-TB), and transperineal template mapping biopsy (TPMB). The inclusion criteria were as follows: prostate-specific antigen (PSA) >2 ng/mL, and/or positive digital rectal examination (DRE), and/or suspicious lesion on transrectal ultrasound (TRUS) and Prostate Imaging Reporting and Data System (Pi-RADS) v2.1 ≥ 3 score.

Endobronchial lipoma: a rare cause of subsegmental bronchial obstruction.

Endobronchial lipoma is a rare cause of bronchial obstruction. Early identification and diagnosis of endobronchial lipoma can prevent damage of the lung parenchyma. Clinicians should be aware of this rare tumour.