甲状腺乳头状癌的形态学编码分析

doi:10.3969/j.issn.1006-5253.2019.06.023

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Abstract Objective There are more variant subtypes of thyroid papillary carcinoma, which cause difficult coding of thyroid papillary carcinoma and are prone to miscoding. According to the histological classification criteria of thyroid tumors and the ICD-O-3 principle, the coding characteristics of thyroid papillary carcinoma are analyzed to improve the coding accuracy rate. Methods The hospital medical record information inquiry system was used to retrieve 417 cases of thyroid papillary cancer diagnosed from January 2016 to December 2018 in a hospital. The ICD-O-3 classification rule was used to analyze the morphological coding situation of thyroid papillary carcinoma in a hospital for nearly 3 years. The existing problems were summarized and analyzed. Results There were 159 coding errors and the error rate was 38.13%. Among them, 2 cases of NOS were misclassified in M8000/3 malignant tumor, accounting for 0.48%; 149 cases were misclassified in M8050/3 papillary carcinoma, accounting for 35.73%; the disease classifier was not familiar with the pathological variant subtype of papillary thyroid carcinoma. Pathological diagnosis had given specific subtypes, but was misclassified in M8260/3 papillary adenocarcinoma in 8 cases, accounting for 1.92%; missing morphological morphology was 1 case, accounting for 0.24%.Conclusion Disease classifiers are unfamiliar with the pathological features and variant subtypes of thyroid papillary carcinoma, lack the homepage quality control link, and the coding library is relatively lagging behind clinical development. These reasons are likely to cause coding errors, so disease classification personnel must carefully read the medical records and pathology reports, actively communicate with clinicians and patho logists, update relevant knowledge structures, and continuously improve the accuracy of thyroid papillary cancer coding.

Key words： papillary thyroid carcinoma morphological coding ICD-O-3

Received: 08 April 2019

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	Li Xinmei
	Xiao Xiaolan

Cite this article:

Li Xinmei,Xiao Xiaolan. Morphological coding analysis of papillary thyroid carcinoma[J]. journal1, 2019, 26(6): 474-476.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2019.06.023 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2019/V26/I6/474