Peyman Mohammadi Torbati; Hamid Seyed Javadi
Volume 3, Issue 3 , June 2008, , Pages 113-118
Abstract
Background and Objective: Improved and modified automation will require the development of smart process control systems that provide on-line decisions to release patients’ test results based on high analytical quality assurance formula. Materials and Methods: We collected patients’ ...
Read More
Background and Objective: Improved and modified automation will require the development of smart process control systems that provide on-line decisions to release patients’ test results based on high analytical quality assurance formula. Materials and Methods: We collected patients’ test results from 10840 healthy subjects based on 1.96z as truncation limit for 29 common haematochemical analytes at a regional reference laboratory. Computer simulation studies by EZ rulesTM and EZ runsTM software were performed to generate operating specification charts (OPSpces) that consider truncation limits set at 3() and control limits set at 3and number of patient subgroups which varied from 10 to 480 depending on the ratio that varied from 1.58 to 19.75. Results: On the basis of the test parameters defined and the workload expected in our regional laboratory, average of patients (AOP) algorithms would be expected to be useful for monitoring run length on analytical systems that test for ALP, ALT, AST, total bilirubin, calcium, creatinine, glucose, hematocrit, hemoglobin, potassium, sodium, TSH and urea. These tests provide high potential capability indicating low, high and high analytical quality assurance (AQA) with low control observations for applying AOP algorithms to monitor run length. Conclusion: Our investigation revealed that approximately fifty percent of commonly requested haematochemical tests could achieve high capability in order to establish AOP method to maximize analytical run length.
Peyman Mohammadi Torbati; Pejman Fard Esfehani
Volume 1, Issue 4 , September 2006, , Pages 149-154
Abstract
Background and Objective: Since the advent of mammography screening, ductal carcinoma in situ (DCIS) of the breast has been diagnosed increasingly. In contrast to the situation in invasive breast carcinoma, there are only a few reports on androgen receptor (AR) status in DCIS and few reports on estrogen ...
Read More
Background and Objective: Since the advent of mammography screening, ductal carcinoma in situ (DCIS) of the breast has been diagnosed increasingly. In contrast to the situation in invasive breast carcinoma, there are only a few reports on androgen receptor (AR) status in DCIS and few reports on estrogen (ER) and progesterone (PR) receptors. Materials and Methods: AR expression was examined in 51 cases of DCIS of the breast and correlated to the degree of differentiation and ER/PR expression status in accordance to immunohistochemical results. Results: AR immunoreactivity was noted in 17 of the cases, whereas the other 34 cases were negative. There was also no significant association between AR expression and the degree of differentiation of DCIS; two of the 11 well-differentiated DCIS cases, nine of the 17 intermediately differentiated cases, and six of the 23 poorly differentiated cases were AR positive (p = 0.091). However, a strong association was shown between the expression of ER (p<0.001) and PR (p = 0.002) and the degree of differentiation of DCIS. In addition, no significant association was found between the expression of AR and the expression of ER (p = 0.37) or PR (p = 0.63) in DCIS of the breast. Conclusion: Clinically significant number of cases of DCIS of the breast expresses AR, which may affect accurate typing of DCIS. Moreover, the expression of AR (but not ER or PR) in DCIS does not appear to be associated with the degree of differentiation.
