Is there an indication for frozen section examination of the ureteral margins during cystectomy for transitional cell carcinoma of the bladder?

PURPOSE: We evaluated the incidence of pathological findings of the ureter at cystectomy for transitional cell carcinoma of the bladder and assessed the usefulness of intraoperative frozen section examination of the ureter. MATERIALS AND METHODS: Histopathological findings of ureteral frozen section examination were compared to the corresponding permanent sections and the diagnostic accuracy of frozen section examination was evaluated. These segments were then compared to the more proximal ureteral segments resected at the level where they cross over the common iliac arteries. The histopathological findings of the ureteral segments were then correlated for upper urinary tract recurrence and overall survival. RESULTS: Transitional cell carcinoma or carcinoma in situ was found on frozen section examination of the distal ureter in 39 of 805 patients (4.8%) and on permanent sections in 29 (3.6%). In 755 patients the false-negative rate of frozen section examination of the ureters was 0.8%. Of the patients with carcinoma in situ diagnosed on the first frozen section examination 80% also had carcinoma in situ in the bladder. Transitional cell carcinoma or carcinoma in situ in the most proximally resected ureteral segments was found in 1.2% of patients. After radical cystectomy there was tumor recurrence in the upper urinary tract in 3% of patients with negative ureteral frozen section examination and in 17% with carcinoma in situ on frozen section examination. CONCLUSIONS: Routine frozen section examination of the ureters at radical cystectomy is only recommended for patients with carcinoma in situ of the bladder, provided the ureters are resected where they cross the common iliac arteries.

Capturing How Objects Flow At Runtime

Most of today's dynamic analysis approaches are based on method traces. However, in the case of object-orientation understanding program execution by analyzing method traces is complicated because the behavior of a program depends on the sharing and the transfer of object references (aliasing). We argue that trace-based dynamic analysis is at a too low level of abstraction for object-oriented systems. We propose a new approach that captures the life cycle of objects by explicitly taking into account object aliasing and how aliases propagate during the execution of the program. In this paper, we present in detail our new meta-model and discuss future tracks opened by it.

Modeling multilevel sleep transitional data via Poisson log-linear multilevel models

This paper proposes Poisson log-linear multilevel models to investigate population variability in sleep state transition rates. We specifically propose a Bayesian Poisson regression model that is more flexible, scalable to larger studies, and easily fit than other attempts in the literature. We further use hierarchical random effects to account for pairings of individuals and repeated measures within those individuals, as comparing diseased to non-diseased subjects while minimizing bias is of epidemiologic importance. We estimate essentially non-parametric piecewise constant hazards and smooth them, and allow for time varying covariates and segment of the night comparisons. The Bayesian Poisson regression is justified through a re-derivation of a classical algebraic likelihood equivalence of Poisson regression with a log(time) offset and survival regression assuming piecewise constant hazards. This relationship allows us to synthesize two methods currently used to analyze sleep transition phenomena: stratified multi-state proportional hazards models and log-linear models with GEE for transition counts. An example data set from the Sleep Heart Health Study is analyzed.