2001Di-Si Junyi Daxue xuebaoRequires access

Sterological quantitative study on morphological development of nasopharyngeal carcinoma

Xing Yang

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Abstract

AIM To study the morphological changing law of develepment of nasopharyngeal carcinoma. METHODS Quantity sterological parameters of ER Go and TMF TF of different periodical nasopharyngeal epithelia cells were measured analysed and calculated by sterological and statistical method. RESULTS Parameters were different statistically among different periodical nasopharyngeal epithelia cells. CONCLUSION During the canceyation courses of nasopharyngeal epithelia, epithelia squamous maturial tredency becomes strengther and columnar maturial tredency becomes weeker, which has pathological significance.

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AIM To study the morphological changing law of develepment of nasopharyngeal carcinoma. METHODS Quantity sterological parameters of ER Go and TMF TF of different periodical nasopharyngeal epithelia cells were measured analysed and calculated by sterological and statistical method. RESULTS Parameters were different statistically among different periodical nasopharyngeal epithelia cells. CONCLUSION During the canceyation courses of nasopharyngeal epithelia, epithelia squamous maturial tredency becomes strengther and columnar maturial tredency becomes weeker, which has pathological significance.

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Available abstract

AIM To study the morphological changing law of develepment of nasopharyngeal carcinoma. METHODS Quantity sterological parameters of ER Go and TMF TF of different periodical nasopharyngeal epithelia cells were measured analysed and calculated by sterological and statistical method. RESULTS Parameters were different statistically among different periodical nasopharyngeal epithelia cells. CONCLUSION During the canceyation courses of nasopharyngeal epithelia, epithelia squamous maturial tredency becomes strengther and columnar maturial tredency becomes weeker, which has pathological significance.

Key concepts: Nasopharyngeal carcinoma, Pathological, Pathology, Biology, Statistical analysis, Medicine, Internal medicine, Radiation therapy

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