Objective: To review and see the pattern of histopathological diagnoses of one year appendectomy specimens.
Methodology: This retrospective study was carried in Sulaimani Teaching Hospital over the period of one year (from 1st
of January to 31st of December 2009). All pathological reports were reviewed retrospectively for patient’s age, sex,
histopathological diagnosis and operative findings (if present). Histopathological diagnoses then were classified into
either positive or negative for acute inflammation. Any associated findings or any surgical specimen removed with the
appendix was recorded. The obtained data were analyzed by using the statistical package social sciences (SPSS) version
19; with Chi square to test for significance between data.
Results: Hospital pathological reports of 2052 appendectomy cases were reviewed, (47.12%) were males and (52.88%)
were females. 61.9% of all appendectomy cases were positive for acute inflammation (32.9% had acute appendicitis;
26.1 % had acute suppurative appendicitis , and 4.5% had gangrenous appendicitis), while 38.1% were negative (28.5 %
had reactive follicular hyperplasia, 6.2% were normal, and 0.2% had carcinoid tumors). Negative for acute
inflammation cases were generally significantly more common in females e.g. periappendicitis, Reactive Follicular
Hyperplesia and carcinoid tumor but eosinophilic appendicitis cases like acute appendicitis were more common in
males. Normal appendixes versus Reactive Follicular Hyperplesia (without associated appendicitis) are two entities that
intermingle. Chronic appendicitis is controversial entity. Out of 20 cases with Entrobius vermicularis (95%) cases were
associated with reactive follicular hyperplasia and it shows non significant association with acute appendicitis.
Recommendation: We recommend that the pathologists must be strict to histological criteria for each pathological
entity before the diagnosis.
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The Braille Recognition System is the process of capturing a Braille document image and turning its content into its equivalent natural language characters. The Braille Recognition System's cell transcription and Braille cell recognition are the two basic phases that follow one another. The Braille Recognition System is a technique for locating and recognizing a Braille document stored as an image, such as a jpeg, jpg, tiff, or gif image, and converting the text into a machine-readable format, such as a text file. BCR translates an image's pixel representation into its character representation. As workers at visually impaired schools and institutes, we profit from Braille recognition in a variety of ways. The Braille Recognition S
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