高分辨CT联合Ki-67表达预测低分化浸润性非黏液肺腺癌的临床应用

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Abstract Objective To explore the predictive value of high-resolution CT (HRCT) image features combined with Ki-67 expression level in poorly differentiated invasive non-mucinous adenocarcinoma. Methods A total of 197 patients with invasive non-mucinous lung adenocarcinoma were selected from the General Hospital of PLA Central Theater Command and the 991th Hospital of PLA Joint Logistics Support Force from July 2015 to June 2023. According to the pathological results, they were divided into two groups, with 150 cases in highly and moderately differentiated group and 47 cases in poorly differentiated group. Ki-67 expression level and HRCT characteristic indicators of cancerous nodule lesions were analyzed and compared between the two groups, such as nodule type, size, location, burr, lobed, margin, cavity, relationship with blood vessels, air bronchial sign, false cavity sign. Results There were significant differences in gender, nodule type, nodule size, pleural indentation sign positive, pseudo cavity sign, bronchial inflation sign and Ki-67 expression level between the two groups (P<0.05).Ki-67 expression level (OR=6.057, P＜0.05), nodule nature (OR=6.523, P＜0.05) and nodule size (OR=3.119, P＜0.05)were screened out as independent risk factors for poorly differentiated invasive non-mucinous lung adenocarcinoma(P<0.05). The best cut-off value of Ki-67 expression level and nodule size were 14.5% and 21.3 mm, respectively. The diagnostic efficacy, sensitivity and specificity of Ki-67 combined with Ki-67 expression level and nodule size were 0.888, 76.6% and 89.3%, which were superior to Ki-67 expression level or nodule size alone. Conclusions Ki-67 expression level, nodule nature, nodule size are independent risk factors in predicting poorly differentiated invasive non-mucinous lung adenocarcinoma, and nodule size combined with the expression level of Ki-67 can improve the diagnostic accuracy of poorly differentiated cancer cells.

Key words： invasive non-mucinous lung adenocarcinoma high-resolution CT Ki-67 tumor grading system

Received: 15 April 2024

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	ZHOU Yi
	ZHANG Bei
	HUANG KeFeng
	YANG Bo

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ZHOU Yi,ZHANG Bei,HUANG KeFeng等. Clinical application of high-resolution CT combined with Ki-67 expression in predicting poorly differentiated invasive non-mucinous lung adenocarcinoma[J]. Med. J. Chin. Peop. Armed Poli. Forc., 2024, 35(9): 777-780.

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https://journal08.magtechjournal.com/Jwk_wjyx/EN/ OR https://journal08.magtechjournal.com/Jwk_wjyx/EN/Y2024/V35/I9/777

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