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ObjectiveTo describe the nutritional status of women with peritoneal metastasis (PM) from recurrent ovarian, fallopian, or peritoneal cancer and to assess longitudinal variations of the cachexia-anorexia syndrome (CAS) during palliative pressurized intraperitoneal aerosol chemotherapy (PIPAC).MethodsNutritional assessment included body mass index (BMI), bioelectrical impedance analysis (BIA), and blood chemistry. CAS presence/absence was recorded before and during repeated cycles (1–11) of PIPAC.ResultsEighty-four patients with peritoneal cancer (n=5) or PM from recurrent ovarian (n=77) or fallopian tube (n=2) cancer were included. At baseline, resting metabolism (RM) (1,432±172 kcal/day), visceral fat level (7.5±3.2), skeletal muscle mass (27.2%±4.6%), upper arm circumference (27.9±4.6 cm), lower leg circumference (35.1±3.9 cm), serum parameters (albumin [3.5±0.7 g/dL], total protein [6.3±0.9 g/dL], and transferrin [202±60 mg/dL]) were below normal limits. C-reactive protein (CRP) (4.3±6.8 mg/dL), caliper body fat (35.7%±6.3%), and total body fat mass (35.6%±8.5%) were above normal limits. Nineteen/84 (23%) patients had CAS at baseline. Deterioration or stabilization/improvement of CAS was observed in 9/55 (16.4%) and 46/55 (83.6%) patients with follow-up data, respectively. Baseline body fat mass, visceral fat level, skeletal muscle mass, caliper body fat, BMI, ascites, Karnofsky index, RM, and CRP, as well as tumor response were not predictive of CAS deterioration.ConclusionNutritional decline and onset or deterioration of CAS are difficult to predict. Careful measuring and monitoring of nutritional parameters and CAS in all patients seems to be necessary in order to identify those patients in need of enteral/parenteral nutrition support.

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Generation of test vectors for the VLSI devices used in contemporary digital systems is becoming much more difficult as these devices increase in size and complexity. Automatic Test Pattern Generation (ATPG) techniques are commonly used to generate these tests. Since ATPG is an NP complete problem with complexity exponential to circuit size, the application of parallel processing techniques to accelerate the process of generating test vectors is an active area of research.The simplest approach to parallelization of the test generation process is to simply divide the processing of the fault list across multiple processors. Each individual processor then performs the normal test generation process on its own portion of the fault list, typically without interaction with the other processors. The major drawback of this technique, called fault partitioning, is that the processors perform redundant work generating test vectors for faults covered by vectors generated on another processor. An earlier approach to reducing this redundant work involved transmitting generated test vectors among the processors and re-fault simulating them on each processor. This paper presents a comparison of the vector broadcasting approach with the simpler and more effective approach of fault broadcasting. In fault broadcasting, fault simulation is performed on the entire fault list on each processor. The resulting list of detected faults is then transmitted to all the other processors. The results show that this technique produces greater speedups and smaller test sets than the test vector broadcasting technique. Analytical models are developed which can be used to determine the cost of the various parts of the parallel ATPG algorithm. These models are validated using data from benchmark circuits.1

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