scholarly journals Acute Marjolin’s Ulcer in Chronic Foot Wounds with Previous Negative Biopsy: Report of Two Cases

2020 ◽  
Vol 14 (3) ◽  
pp. 194-197
Author(s):  
Xu S ◽  
Kang YBJ ◽  
Soeharno H ◽  
Yeo NEM
2020 ◽  
Vol 26 (1) ◽  
pp. 11-17
Author(s):  
Md Kamruzzaman ◽  
Kazi Nurjahan ◽  
AS Gazi Sharifuddin ◽  
SK Ballav

Background: Oral cancer burden in developing countries is huge. In Bangladesh and India incidence were 10.6% and 10.4% respectively on 2018. At the same time worldwide incident was only 2%. Majority patients present at advanced stage and their survival rate is poor. Diagnostic delay from patient side and health delivery system side is significantly longer and it is more in developing countries. Like other malignancy early diagnosis can save a lot of these patient. Methods: This prospective study was carried out in Khulna Medical College Hospital from July 2017 to July 2019. Patients who will meet the criteria for this prospective study and capable and willing to give informed consent were enrolled. 20 second rinse/gargle with 10ml of 1% Tolonium chloride solution was done. Biopsy were taken from stained lesion, biopsy report were compared with TC stained lesions. Results: Out of 1650 patients in our outdoor department for various problem and only 30 cases were selected for this study according to selection criteria. Of 30 patients, 18 (60%) were male and 12 (40%) were female. The male-to-female ratio was 3:2. It was found that the sensitivity of 1% Tolonium Chloride rinse for oral precancer and cancer detection was 83.33%, whereas the specificity was 84.21%. Conclusion: Tolonium chloride rinse is a good screening test for oral cancer diagnosis with sensitivity 83.33% and specificity 84.21%. Bangladesh J Otorhinolaryngol; April 2020; 26(1): 11-17


2021 ◽  
Vol 80 ◽  
pp. 105613
Author(s):  
Haidar Kassir ◽  
Mohamad K. Moussa ◽  
Firass El Hajj ◽  
Walid Kheireddine ◽  
Mohammad O. Boushnak

1949 ◽  
Vol 78 (5) ◽  
pp. 772-780 ◽  
Author(s):  
Donald M Glover ◽  
Clifford L Kiehn
Keyword(s):  

2010 ◽  
Vol 28 (10) ◽  
pp. 1714-1720 ◽  
Author(s):  
Peter H. Gann ◽  
Angela Fought ◽  
Ryan Deaton ◽  
William J. Catalona ◽  
Edward Vonesh

Purpose To introduce a novel approach for the time-dependent quantification of risk factors for prostate cancer (PCa) detection after an initial negative biopsy. Patients and Methods Data for 1,871 men with initial negative biopsies and at least one follow-up biopsy were available. Piecewise exponential regression models were developed to quantify hazard ratios (HRs) and define cumulative incidence curves for PCa detection for subgroups with specific patterns of risk factors over time. Factors evaluated included age, race, serum prostate-specific antigen (PSA) concentration, PSA slope, digital rectal examination, dysplastic glands or prostatitis on biopsy, ultrasound gland volume, urinary symptoms, and number of negative biopsies. Results Four hundred sixty-five men had PCa detected, after a mean follow-up time of 2.8 years. All of the factors were independent predictors of PCa detection except for PSA slope, as a result of its correlation with time-dependent PSA level, and race. PSA (HR = 3.90 for > 10 v 2.5 to 3.9 ng/mL), high-grade prostatic intraepithelial neoplasia/atypical glands (HR = 2.97), gland volume (HR = 0.39 for > 50 v < 25 mL), and number of repeat biopsies (HR = 0.36 for two v zero repeat biopsies) were the strongest predictors. Men with high-risk versus low-risk event histories had a 20-fold difference in PCa detection over 5 years. Conclusion Piecewise exponential models provide an approach to longitudinal analysis of PCa risk that allows clinicians to see the interplay of risk factors as they unfold over time for individual patients. With these models, it is possible to identify distinct subpopulations with dramatically different needs for monitoring and repeat biopsy.


2014 ◽  
Vol 25 (4) ◽  
pp. 168-171
Author(s):  
Aletta Carbone ◽  
Joanna Skillman
Keyword(s):  

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Rout SK ◽  
Giri SK ◽  
Panda R ◽  
Bansal S ◽  
Singh N

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