Three-dimensional electron beam dose calculations

The MDAH pencil-beam algorithm developed by Hogstrom et al (1981) has been widely used in clinics for electron beam dose calculations for radiotherapy treatment planning. The primary objective of this research was to address several deficiencies of that algorithm and to develop an enhanced version. Two enhancements have been incorporated into the pencil-beam algorithm; one models fluence rather than planar fluence, and the other models the bremsstrahlung dose using measured beam data. Comparisons of the resulting calculated dose distributions with measured dose distributions for several test phantoms have been made. From these results it is concluded (1) that the fluence-based algorithm is more accurate to use for the dose calculation in an inhomogeneous slab phantom, and (2) the fluence-based calculation provides only a limited improvement to the accuracy the calculated dose in the region just downstream of the lateral edge of an inhomogeneity. The source of the latter inaccuracy is believed primarily due to assumptions made in the pencil beam's modeling of the complex phantom or patient geometry.^ A pencil-beam redefinition model was developed for the calculation of electron beam dose distributions in three dimensions. The primary aim of this redefinition model was to solve the dosimetry problem presented by deep inhomogeneities, which was the major deficiency of the enhanced version of the MDAH pencil-beam algorithm. The pencil-beam redefinition model is based on the theory of electron transport by redefining the pencil beams at each layer of the medium. The unique approach of this model is that all the physical parameters of a given pencil beam are characterized for multiple energy bins. Comparisons of the calculated dose distributions with measured dose distributions for a homogeneous water phantom and for phantoms with deep inhomogeneities have been made. From these results it is concluded that the redefinition algorithm is superior to the conventional, fluence-based, pencil-beam algorithm, especially in predicting the dose distribution downstream of a local inhomogeneity. The accuracy of this algorithm appears sufficient for clinical use, and the algorithm is structured for future expansion of the physical model if required for site specific treatment planning problems. ^

Analysis of mutations in $\beta$-tubulin genes affecting tubulin stability and assembly

Cmd4 is a colcemid-sensitive CHO cell line that is temperature sensitive for growth and expresses an altered $\beta$-tubulin, $\beta\sb1$. One revertant of this cell line, D2, exhibits a further alteration in $\beta\sb1$ resulting in an acidic shift in its isoelectric point and a decrease in its molecular weight to 40 kD, as measured by two dimensional gel electrophoresis. This $\beta$-tubulin variant has been shown to be assembly-defective and unstable. Characterization of the mutant $\beta\sb1$ in D2 by high pressure liquid chromatography (HPLC) revealed the loss of methionine containing tryptic peptides 7,8,9, and 10. Southern analysis of the genomic DNA digested with several different restriction enzymes resulted in the appearance of new restriction fragments 250 base pairs shorter than the corresponding fragments from the wild-type $\beta\sb1$-tubulin gene. Northern analysis on mRNA from D2 revealed two new message products that also differed by 250 bases from the corresponding wild type $\beta$-tubulin transcripts. To precisely define the region of the alteration, cloning and sequencing of the mutant and wild type genomic $\beta$-tubulin genes were conducted. A size-selected EcoRI genomic library was prepared using the Stratagene lambda Zap II phage cloning system. Using subclones of CHO $\beta$-tubulin cDNA as probes, a 2.5 kb wild type clone and a 2.3 kb mutant clone were identified from this library. Each of these was shown to contain a portion of the gene extending from intron 3 through the end of the coding sequence in exon 4 and into the 3$\sp\prime$ untranslated region on the basis of alignment with the published human $\beta$-tubulin sequence. Sequencing of the mutant 2.3 kb clone revealed that the mutation is due to a 246 base pair internal deletion in exon 4 (base pair 756-1001) that encodes amino acids 253-334. This deletion results in the loss of a putative binding site for GTP which could potentially explain the phenotype of this mutant $\beta$-tubulin. Also sequence comparison of the 3$\sp\prime$ untranslated region between different species revealed the conservation of 200 base pairs with 78% homology. It is proposed that this region could play an important role in the regulation of $\beta$-tubulin gene expression. ^

Predictors of weight stability in women and men: The aerobic center longitudinal study, 1987--1995

It is estimated that more than half the U.S. adult population is overweight or obese as classified by a body mass index of 25.0–29.9 or ≥30 kg/m 2, respectively. Since the current treatment approaches for long-term maintenance of weight loss are lacking, the National Institutes of Health state that an effective approach may be to focus on weight gain prevention. There is a limited body of literature describing how adults maintain a stable weight as they age. It is hypothesized that weight stability is the result of a balance between energy consumption and energy expenditure as influenced by diet, lifestyle, behavior, genetics and environment. The purpose of this research was to examine the dietary intake and behaviors, lifestyle habits, and risk factors for weight change that predict weight stability in a cohort of 2101 men and 389 women aged 20 to 8 7 years in the Aerobic Center Longitudinal Study regardless of body weight at baseline. At baseline, participants completed a maximal exercise treadmill test to determine cardiorespiratory fitness, a medical history questionnaire, which included self-reported measures of weight, dietary behaviors, lifestyle habits, and risk factors for weight change, a three-day diet record, and a mail-back version of the medical history questionnaire in 1990 or 1995. All analyses were performed separately for men and women. Results from multivariate regression analyses indicated that the strongest predictor of follow-up weight for men and women was previous weight, accounting for 87.0% and 81.9% of the variance, respectively. Age, length of follow-up and eating habits were also significant predictors of follow-up weight in men, though these variables only explained 3% of the variance. For women, length of follow-up and currently being on a diet were significantly associated with follow-up weight but these variables explained only an additional 2% of the variance. Understanding the factors that influence weight change has tremendous public health importance for developing effective methods to prevent weight gain. Since current weight was the strongest predictor of previous weight, preventing initial weight gain by maintaining a stable weight may be the most effective method to combat the increasing prevalence of overweight and obesity. ^