ScLNet: A cornea with scleral lens OCT layers segmentation dataset and new multi-task model.

Objective: To develop deep learning methods with high accuracy for segmenting irregular corneas and detecting the tear fluid reservoir (TFR) boundary under the scleral lens. Additionally, this study aims to provide a publicly available cornea with scleral lens OCT dataset, including manually labeled layer masks for training and validation of segmentation algorithms. This study introduces ScLNet, a dataset comprising cornea with Scleral Lens (ScL) optical coherence tomography (OCT) images with layer annotations, and a multi-task network designed to achieve rapid, accurate, automated segmentation of scleral lens with regular and irregular corneas.

Deep learning segmentation of the tear fluid reservoir under the sclera lens in optical coherence tomography images.

The tear fluid reservoir (TFR) under the sclera lens is a unique characteristic providing optical neutralization of any aberrations from corneal irregularities. Anterior segment optical coherence tomography (AS-OCT) has become an important imaging modality for sclera lens fitting and visual rehabilitation therapy in both optometry and ophthalmology. Herein, we aimed to investigate whether deep learning can be used to segment the TFR from healthy and keratoconus eyes, with irregular corneal surfaces, in OCT images.

Urothelial carcinoma with trophoblastic differentiation: Reappraisal of the clinical implication and immunohistochemically features.

Purpose: To investigate the clinical implications of identifying urothelial carcinoma (UC) with trophoblastic differentiation (UCTD).

Materials And Methods: A prospective cohort study was performed from 2010 to 2016 to examine the incidence of UCTD in urinary tract cancer and association with clinicopathological indicators and patient outcome.

Results: UCTD was detected in 47 of 859 (5.

EMP1, EMP 2, and EMP3 as novel therapeutic targets in human cancer.

The epithelial membrane protein genes 1, 2, and 3 (EMP1, EMP2, and EMP3) belong to the peripheral myelin protein 22-kDa (PMP22) gene family, which consists of at least seven members: PMP22, EMP1, EMP2, EMP3, PERP, brain cell membrane protein 1, and MP20. This review addresses the structural and functional features of EMPs, detailing their tissue distribution and functions in the human body, their expression pattern in a variety of tumors, and highlighting the underlying mechanisms involved in carcinogenesis. The implications in cancer biology, patient prognosis prediction, and potential application in disease therapy are discussed.

SH3BGRL3 Protein as a Potential Prognostic Biomarker for Urothelial Carcinoma: A Novel Binding Partner of Epidermal Growth Factor Receptor.

Purpose: Mass spectrometry-based biomarker discovery has clinical benefit. To identify novel biomarkers for urothelial carcinoma, we performed quantitative proteomics on pooled urine pairs from patients with and without urothelial carcinoma.

Experimental Design: Shot-gun proteomics using liquid chromatography-tandem mass spectrometry and stable isotope dimethyl labeling identified 219 candidate proteins.

[Detection and identification of human metapneumovirus by real time reverse transcription PCR].

Objective: To develop a rapid, sensitive and specific real time reverse transcription PCR for detecting and identifying human metapneumovirus.

Methods: The Hmpv-L gene of human metapneumovirus was chosen as target gene, the primers and TaqMan probe were designed, and the PCR reaction was optimized systematically. The total RNA was extracted from respiratory specimens, and reverse transcription was performed through random primer.