Biomedical subjects
Scott Fields
Publications and source records attributed to Scott Fields.
The earth's open wounds: abandoned and orphaned mines.
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The environmental pain of pleasure boating.
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Making the best of biomass: hydrogen for fuel cells.
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One slick trick: building a better biolubricant.
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Stratification of mammographic computerized analysis by BI-RADS categories.
The Breast Imaging Reporting and Data System (BI-RADS) was implemented to standardize characterization of mammographic findings. The purpose of the present study was to evaluate in which BI-RADS categories the changes recommended by computerized mammographic analysis are most beneficial. Archival cases including, 170 masses (101 malignant, 69 benign) and 63 clusters of microcalcifications (MCs; 36 malignant, 27 benign), were evaluated retrospectively, using the BI-RADS categories, by several radiologists, blinded to the pathology results. A computerized system then automatically extracted from the digitized mammogram features characterizing mammographic lesions, which were used to classify the lesions. The results of the computerized classification scheme were compared, by receiver operating characteristics (ROC) analysis, to the conventional interpretation. In the "low probability of malignancy group" (excluding BI-RADS categories 4 and 5), computerized analysis improved the A(z )of the ROC curve significantly, from 0.57 to 0.89. In the "high probability of malignancy group" (mostly category 5) the computerized analysis yielded an ROC curve with an A(z )of 0.99. In the "intermediate probability of malignancy group" computerized analysis improved the A(z )significantly, from 0.66 for to 0.83. Pair-wise analysis showed that in the latter group the modifications resulting from computerized analysis were correct in 83% of cases. Computerized analysis has the ability to improve the performance of the radiologists exactly in the BI-RADS categories with the greatest difficulties in arriving at a correct diagnosis. It increased the performance significantly in the problematic group of "intermediate probability of malignancy" and pinpointed all the cases with missed cancers in the "low probability" group.
Predictive factors associated with the development of abdominal compartment syndrome in the surgical intensive care unit.
HYPOTHESIS: Intraoperative and postoperative variables contribute to the development of abdominal compartment syndrome (ACS) in general surgical patients. DESIGN: Case-control cohort study of 44 patients admitted to the surgical intensive care unit from March 1, 1995, to January 1, 2001. Groups were matched with respect to age, sex, diagnosis, and procedure. Prospectively collected data included demographics, ventilatory parameters, fluid requirements, hemodynamic and oxygen-derived variables, length of stay, and mortality rates. Statistical analysis was done with the Fisher exact test and/or chi(2) analysis. Continuous variables were analyzed with multivariate and univariate analysis. Data are presented as mean +/- SD. Statistical significance is defined as P<.05. SETTING: Long Island Jewish Medical Center (New Hyde Park, NY) is a large tertiary teaching hospital. PATIENTS: Twenty-two patients admitted to the surgical intensive care unit who developed ACS, and 22 case-control patients without ACS. MAIN OUTCOME MEASURES: Identification of variables that predict the development of ACS. RESULTS: Twenty-two patients with episodes of ACS (group 1) were examined and contrasted with 22 matched patients without ACS (group 2). Using univariate analysis, the groups differed with respect to 24-hour fluid administration and balance, number of emergency procedures, peak airway pressure, central venous pressure, pulmonary artery occlusion pressure, lengths of stay in the hospital and intensive care unit, and mortality rates. With multivariate analysis, only 24-hour fluid balance and peak airway pressure (group 1 vs group 2: mean +/- SD, 15.9 +/- 10.3 L vs 7.0 +/- 3.5 L, and 57.9 +/- 11.9 mm Hg vs 32.2 +/- 7.1 mm Hg, respectively; P<.05) remained significantly different. The groups did not differ with regard to age, cardiac index, operative blood loss, duration of surgery, intraoperative fluid input, or balance. A predictive equation for ACS development was created: P = 1/(1 +e(-z)), where z= -18.6763 + 0.1671 (peak airway pressure) + 0.0009 (fluid balance). CONCLUSION: The results of this study indicate that 24-hour fluid balance and peak airway pressure are 2 independent variables predictive of the development of ACS in nontrauma surgical patients.
Sustainable business makes dollars and sense.
The last decade has marked a radical change in the business of sustainability, say environmental activists and industrialists alike. On the wane are "greenwashing" campaigns in which corporations promote dubious environmental accomplishments to draw attention away from environmentally damaging practices. On the rise are corporate investments in sustainability programs, new types of environmental markets, and public demand for green products and investments. Once an afterthought, an annoyance, or a nonentity, sustainability is now often a focal point for businesses. No longer thought of as a business cost, environmentally benign practices are now viewed as a competitive advantage as companies seek to win both stockholders and customers.
New cell growth.
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Underground fires surface.
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New mining regs, new discontent.
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Cadmium cause and effect. Looking at renal function.
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