A smartphone-based system for the automated management of point-of-care test results in hospitals.

Objective: Managing test results is an important issue in hospitals because of the increasing use of point-of-care testing (POCT). Here, we propose a smartphone-based system for automatically managing POCT test results.

Materials And Methods: We developed the system to provide convenience to the medical staffs.

Statistical 3D Distribution Analysis of Prostate Cancers in Korean Using Digital Processing Techniques.

Objectives: Several researchers have shown that three dimensional (3D) distribution analysis of prostate cancer is helpful when initiating needle biopsy procedures. Knowledge regarding the distribution of prostate cancer could enhance understanding of the pathophysiology involved and improve detection of these malignancies. We propose utilizing digital processing techniques to analyze prostate cancer distribution in a 3D setting.

Limited sampling of radical prostatectomy specimens with excellent preservation of prognostic parameters of prostate cancer.

Context: The widespread use of the serum prostate-specific antigen test has increased the early detection of prostate cancer and consequently reduced grossly definable prostate cancers.

Objective: To find the most efficient gross sampling method for radical prostatectomy specimens not only preserving important prognostic factors but also being cost effective.

Design: We initially analyzed clinicopathologic features of the entire prostate sections from 148 radical prostatectomy specimens, which then were used to examine the impact of 5 partial sampling methods on tumor stage, Gleason score, extraprostatic extension, resection margin status, and paraffin block numbers.