16 Imaging Evaluation of Sinusitis: Impact on Health Outcome

2011 ◽  
pp. 277-293
Author(s):  
Yoshimi Anzai
Keyword(s):  
Health Outcome ◽  
Imaging Evaluation

Imaging Evaluation of Sinusitis: Impact on Health Outcome

2006 ◽  
pp. 212-232
Author(s):  
Yoshimi Anzai ◽  
William E. Neighbor
Keyword(s):  
Health Outcome ◽  
Imaging Evaluation

Panel Discussion II: Usefulness of in vitro and in vivo Model Systems for Predicting the Adverse Public Health Outcome for Antimicrobial Drug Residues in Food

2000 ◽  
Vol 12 (3) ◽  
pp. 45-53
Author(s):  
Andrew Beaulieu ◽  
Jacques Boisseau ◽  
Carl Cerniglia ◽  
Denis Corpet ◽  
A. Haydée Fernández ◽  
...  
Keyword(s):  
Public Health ◽  
Health Outcome ◽  
Panel Discussion ◽  
Antimicrobial Drug ◽  
Model Systems ◽  
In Vivo Model ◽  
Drug Residues ◽  
Public Health Outcome

TO SEPARATELY ASSESS THE DIAGNOSTIC POTENTIAL OF TVS & MRI IN THE TERMS OF SENSITIVITY AND SPECIFICITY BY CORRELATING THE IMAGING FINDINGS WITH HISTOPATHOLOGY

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Suraj Mathur
Keyword(s):  
Transvaginal Ultrasound ◽  
High Sensitivity ◽  
Imaging Evaluation ◽  
Medical College ◽  
Conventional Mri ◽  
Diagnostic Potential ◽  
Adc Mapping ◽  
Malignant Lesions ◽  
Sensitivity Specificity

This prospective study was done in the Department of Radio diagnosis Govt. Medical College, Kozhikode. A total of 65 patients who were referred to our department with clinical suspicion of endometrial lesions and incidentally detected endometrial lesions on ultrasonography underwent transvaginal ultrasound and subsequent Imaging evaluation of pelvis MRI has very high sensitivity (95%) and specificity (98%) and is almost as accurate (97%) as histopathology in differentiating benign from malignant lesions. Addition of DWI with ADC mapping to conventional MRI increases its accuracy even more. However there is inherent limitation to MRI in detecting carcinoma in situ and micrometastasis. Keywords: TVS, MRI, Sensitivity, Specificity, Histopathology.

The Use of Bayesian Hierarchical Methods to Assess Selection and Observer Bias in Observational Health Outcome Studies

2006 ◽  
Author(s):  
Mark Ratcliffe ◽  
Josep Maria Haro ◽  
Stathis Kontodimas ◽  
Miguel Angel Negrin ◽  
David Suarez ◽  
...  
Keyword(s):  
Health Outcome ◽  
Outcome Studies ◽  
Observer Bias ◽  
Bayesian Hierarchical ◽  
Bayesian Hierarchical Methods
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