Prostate cryoablation: Prospective analysis comparing high- and low-risk prostate cancer outcomes

Aim: To evaluate percutaneous cryotherapy as a primary treatment option for prostate cancer, comparing different risk groups. Patients and Methods: Forty-seven prostate cryoablation procedures were performed on 44 patients. Patients median age was 70.9, and average pretreatment PSA of 13.8 ng/dl. Patients were divided into low-risk (13 patients), high-risk (24 patients) and radiation failure patients (7 patients). The follow-up period ranged from 18 to 60 months (median 41 months). Results: In the low-risk group, we found after 12 and 24 months of follow-up, 92 and 86% of patients free of PSA relapse (PSA < 1 ng/ml), respectively. In the high-risk group, the PSA failure was 39 and 52.9%. For the radiation failure group, 86 and 71.4% of patients had PSA below 1 ng/dl. At 48 months of follow-up, 80% of the low-risk patients, 42.8% of the high-risk group and 71.4% of the radiation failure group were free of PSA relapse. The complication rates were low, with 13% of urinary incontinence and no cases of rectal injury. Conclusion: Prostate cryoablation is a viable and promising minimally invasive alternative for localized or locally advanced prostate cancer patients. Copyright (c) 2008 S. Karger AG, Basel.

Analysis of dynamic process models for structural insight and model reduction .1. Structural identification measures

An important consideration in the development of mathematical models for dynamic simulation, is the identification of the appropriate mathematical structure. By building models with an efficient structure which is devoid of redundancy, it is possible to create simple, accurate and functional models. This leads not only to efficient simulation, but to a deeper understanding of the important dynamic relationships within the process. In this paper, a method is proposed for systematic model development for startup and shutdown simulation which is based on the identification of the essential process structure. The key tool in this analysis is the method of nonlinear perturbations for structural identification and model reduction. Starting from a detailed mathematical process description both singular and regular structural perturbations are detected. These techniques are then used to give insight into the system structure and where appropriate to eliminate superfluous model equations or reduce them to other forms. This process retains the ability to interpret the reduced order model in terms of the physico-chemical phenomena. Using this model reduction technique it is possible to attribute observable dynamics to particular unit operations within the process. This relationship then highlights the unit operations which must be accurately modelled in order to develop a robust plant model. The technique generates detailed insight into the dynamic structure of the models providing a basis for system re-design and dynamic analysis. The technique is illustrated on the modelling for an evaporator startup. Copyright (C) 1996 Elsevier Science Ltd

Analysis of dynamic models for structural insight and model reduction .2. A multi-stage compressor shutdown case-study

In this second paper, the three structural measures which have been developed are used in the modelling of a three stage centrifugal synthesis gas compressor. The goal of this case study is to determine the essential mathematical structure which must be incorporated into the compressor model to accurately model the shutdown of this system. A simple, accurate and functional model of the system is created via three structural measures. It was found that the model can be correctly reduced into its basic modes and that the order of the differential system can be reduced from 51(st) to 20(th). Of the 31 differential equational 21 reduce to algebraic relations, 8 become constants and 2 can be deleted thereby increasing the algebraic set from 70 to 91 equations. An interpretation is also obtained as to which physical phenomena are dominating the dynamics of the compressor add whether the compressor will enter surge during the shutdown. Comparisons of the reduced model performance against the full model are given, showing the accuracy and applicability of the approach. Copyright (C) 1996 Elsevier Science Ltd