scholarly journals Automated regional registration and characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis

2008 ◽  
Vol 35 (12) ◽  
pp. 5340-5350 ◽  
Author(s):  
Peter Filev ◽  
Lubomir Hadjiiski ◽  
Heang-Ping Chan ◽  
Berkman Sahiner ◽  
Jun Ge ◽  
...  
Keyword(s):  
Change Analysis ◽  
Interval Change ◽  
Regional Registration ◽  
Microcalcification Clusters

Characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis: comparison of classifiers

2006 ◽  
Author(s):  
Lubomir Hadjiiski ◽  
Douglas Drouillard ◽  
Heang-Ping Chan ◽  
Berkman Sahiner ◽  
Mark A. Helvie ◽  
...  
Keyword(s):  
Change Analysis ◽  
Interval Change ◽  
Microcalcification Clusters

A regional registration technique for automated interval change analysis of breast lesions on mammograms

1999 ◽  
Vol 26 (12) ◽  
pp. 2669-2679 ◽  
Author(s):  
S. Sanjay-Gopal ◽  
Heang-Ping Chan ◽  
Todd Wilson ◽  
Mark Helvie ◽  
Nicholas Petrick ◽  
...  
Keyword(s):  
Breast Lesions ◽  
Change Analysis ◽  
Interval Change ◽  
Regional Registration

ROC study of the effects of computer-aided interval change analysis on radiologists' characterization of breast masses in two-view serial mammograms

2004 ◽  
Author(s):  
Lubomir M. Hadjiiski ◽  
Mark A. Helvie ◽  
Berkman Sahiner ◽  
Heang-Ping Chan ◽  
Marilyn A. Roubidoux ◽  
...  
Keyword(s):  
Change Analysis ◽  
Breast Masses ◽  
Interval Change ◽  
Computer Aided

scholarly journals Automated registration of breast lesions in temporal pairs of mammograms for interval change analysis-local affine transformation for improved localization

2001 ◽  
Vol 28 (6) ◽  
pp. 1070-1079 ◽  
Author(s):  
Lubomir Hadjiiski ◽  
Heang-Ping Chan ◽  
Berkman Sahiner ◽  
Nicholas Petrick ◽  
Mark A. Helvie
Keyword(s):  
Affine Transformation ◽  
Breast Lesions ◽  
Change Analysis ◽  
Interval Change ◽  
Automated Registration

Abstract 254: Gender and Race Specific Re-Admission Characteristics in Heart Failure Patients: Insights from the Get With The Guidelines Cohort

2012 ◽  
Vol 5 (suppl_1) ◽  
Author(s):  
Sahar Amery ◽  
Ji Lee ◽  
Colin Hirst ◽  
Mikhail Torosoff ◽  
Edward Philbin ◽  
...  
Keyword(s):  
Heart Failure ◽  
Beta Blockers ◽  
Change Analysis ◽  
Gender And Race ◽  
Interval Change ◽  
Heart Failure Patients ◽  
Significant Difference ◽  
Gender Specific Differences ◽  
Get With The Guidelines ◽  
Gender Specific

Hypothesis: We investigated gender and race specific re-admission characteristics in heart failure patients enrolled in the Get With The Guidelines (GWTG) study. Material and Methods: Retrospective chart review of 49 GWTG cohort patients (15 females, 24 males) requiring readmission was performed. Demographic and clinical parameters were collected. Interval change in endpoints was classified as “Increase”, “Decrease”, or “No change”. Analysis of variance (ANOVA) and chi-square analyses were performed. Study was approved by the institutional IRB. Results: Amongst readmitted patients there was a trend for females to be older (73+/-14 vs. 66+/-15 years in males, p=0.208), more likely to have CAD (11 of 15 vs. 14 of 24 males, p=0.342), less likely reside at home (9 of 15 vs. 19 of 24 males, p=0.196), and have shorter time to readmission (16+/-14 vs. 20+/-14 days in males, p=0.435). There were no gender-specific differences in doses of beta-blockers, vasodilators, including ACE inhibitors-ARBs or Hydralazine/Nitrate combination, aldosterone receptor antagonists, or digoxin. However, re-admitted women were less likely to be on diuretics (6 of 15 vs. 1 of 24 males, p=0.029). There was a trend for males to be more likely readmitted with a decrease in systolic (7 of 16 vs. 2 of 10 females, p=0.216) or diastolic (5 of 16 vs. 2 of 10, p=0.258) blood pressure and have an increased heart rate (11 of 16 vs. 5 of 10 females, p=0.263). Predictably, majority of patients were noted to have an increased BNP (8 of 9 females vs. 10 of 15 males, p=0.224) and rise in creatinine (8 of 13 females vs. 14 of 24 males, p=0.982) or potassium (8 of 13 females vs. 16 of 24 males, p=0.298). Race had no effect on readmission (Caucasian females 7 of 12 vs. 12 of 18 males, p=0.643). Conclusion: Gender-specific differences in re-admission characteristics may be present in heart failure patients as suggested by observed trends in readmission timing, place of residence, and hemodynamic parameters, and significant difference in diuretic dosing. Race does not appear to affect readmission in the studied population. More studies of this important subject are required.

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