Background: Oral tumors are one of the most challenging
tumors regarding their good prognosis in early diagnosis and
very difficult control in advancing stages.
Objectives: To study the prevalence, types and clinical
presentation of oral tumors in comparison to other oral
lesions among patients attending ENT clinic.
Al-Kindy Col Med J 2008 Vol.5(1) Original Article 11
Methods: This study included 534 patients with different
oral complains attending ENT clinics in AI-Yarmouk
Teaching Hospital, and AI-Kindy Teaching Hospital -
Baghdad, in the period from 1st jan1999 till 31th des 2006 (8
years interval).
Results: The results of this study showed that the prevalence
of malignant lesions was 13.5% (72 out of 534); the males
constitute 59.7 % of them. Premalignant lesions constitute
only 3.9% (21 out of 534) of patients; the males constitute
66.7 % of them. Benign lesions in 8.6% (46 out of 534); the
males constitute 69.6 % of them. Other lesions constitute
74% (395 out of 534); the males constitute 65.8 % of them.
Squamous cell carcinoma is the most common malignant
tumor (found in 71% of malignant lesions).
Conclusions: Most patients are males and the most common
manifestation is sore throat. The most common sign of
presentation is swelling and the most common histological
type of malignant tumors is squamous cell carcinoma (71%).
These patients usually attend ENT clinic seeking for simple
therapy, we see that it’s the job of the otolaryngologist to
diagnose those patients early which has a major influence on
prognosi
The road network serves as a hub for opportunities in production and consumption, resource extraction, and social cohabitation. In turn, this promotes a higher standard of living and the expansion of cities. This research explores the road network's spatial connectedness and its effects on travel and urban form in the Al-Kadhimiya and Al-Adhamiya municipalities. Satellite images and paper maps have been employed to extract information on the existing road network, including their kinds, conditions, density, and lengths. The spatial structure of the road network was then generated using the ArcGIS software environment. The road pattern connectivity was evaluated using graph theory indices. The study demands the abstraction and examin
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