Automated signal pattern evaluation of a bladder cancer specific multiprobe-fish assay applying a user-trainable workstation.

Objective: Signal pattern enumeration of Urovysion Fluorescence in Situ Hybridization test is tedious and requires great experience. Our aim was to eliminate human interaction by automating the process, using an adoptable, automated image acquisition, and analysis system.

Methods: For extensive analytical analysis control, cell populations were used, while preliminary clinical study was performed on 21 patients with clinical suspicion for bladder cancer.

Urovysion: Considerations on modifying current evaluation scheme, including immunophenotypic targeting and locally set, statistically derived diagnostic criteria.

Urovysion multitarget fluorescence in situ hybridization (FISH) assay is a promising tool for detection of bladder cancer, however, there is still no consensus regarding abnormal signal pattern and cut-off level, and the recommended targeting carries limitations similar to urine cytology. Aim of this study was to explore diagnostic benefits of a recently introduced method featuring target specific genotyping, as well as to investigate the feasibility of locally and statistically determined cut-off, compared with conventional evaluation scheme. Histology, cytology, and comparative FISH approaches were performed on 42 patients with high clinical suspicion for urothelial carcinoma (UC).

Formation and structure elucidation of N-(2,3,4-tri-O-acetyl-beta-D-glucopyranosyl)-N'-acetylthiourea.

Treatment with concd HCl/MeOH transformed N-(tetra-O-acetyl-beta-D-glucopyranosyl)-N'-acetylthiourea, via selective cleavage of the primary alcoholic ester group, into the title compound.