No abstract

Computerized image analysis (IA) system has emerged in recent years as a very powerful tool for objective and reproducible quantification of histological features. It has shown considerable potential for diagnostic application in diverse histological situations. The objectives of the present study were to evaluate the discriminatory diagnostic efficiency of computerized image analysis based quantitative subvisual nuclear parameters in papillary and follicular neoplasms of thyroid. A total of 60 cases were studied. Forty-four cases belonged to training set and 16 cases belonged to a test set. A minimum of 100 nuclei was analyzed in each case using uniform 5 m mm thick hematoxylin stained sections. The IA workstation comprised of an Olympus microscope, a 10 bit digital video camera, an image grabber card and a pentium 120 MHz computer. Optimas 5.2 software was utilized for data collection on 8 morphometric and 8 densitometric parameters. Multivariate stepwise discriminant statistical analysis of data was done with the help of BMDP statistical software release 7.0. Results from a training set revealed correct classification rates of 98.0%, 84.5% and 61.2% for the histological groups of hyperplastic papillae versus papillae of papillary carcinoma (group I), follicular variant of papillary carcinoma versus the broad category of follicular neoplasms consisting of both follicular adenoma and follicular carcinoma (group II) and follicular adenoma versus follicular carcinoma (group III), respectively. Results of test set revealed correct classification rates of 100%, 80% and 50% for groups I, II and III respectively. It was concluded that computerized nuclear IA parameters have potential usefulness for discriminating benign versus malignant papillary lesions of thyroid, follicular variant of papillary carcinoma versus follicular adenoma and/or follicular carcinoma but are of no value in discriminating between follicular adenoma and follicular carcinoma.

Unlike One-step self-etch adhesive system, saliva contamination could reduce tensile bond strength of the two-step self-etch and two-step etch-and-rinse adhesive system. Furthermore, the step of bonding procedures and the type of adhesive seems to be effective on the bond strength of adhesives contaminated with saliva.

This study describes epidemiologic findings of pediatric cancer diagnosed in the emergency department (ED) setting. Medical records are retrospectively reviewed on all patients in the hospital's cancer database between 2000 and 2004 who were diagnosed as having cancer or whose oncologic diagnosis was missed during their ED presentation. Of 427 patients identified in the cancer database, 18% (77 of 427) are analyzed. Oncologic diagnosis was missed in 5% (4 of 77) of the eligible patients initially presenting to the ED. The incidence of cancer in the ED is 22.8 cases per 100,000 ED visits. The most prevalent cancer is related to the hematologic system (37.7%), followed by the central nervous system (31.2%) and the abdomen (22.1%). Hematologic, central nervous system, and abdominal cancers constitute approximately 90% of all childhood cancers. Cancer is diagnosed frequently in our ED patient population. Based on the prevalence of certain tumors, the diagnostic approach to children with hematologic, neurologic, or abdominal complaints should include evaluation for any underlying cancer.