Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma
Abstract. The purpose of the study is to investigate the correlation of computed tomography (CT) quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma. The study involved 141 lesions in 141 patients with early lung adenocarcinoma. According to the degree of tu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer
2022-06-01
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| Series: | Medicine |
| Online Access: | http://journals.lww.com/10.1097/MD.0000000000029373 |
| _version_ | 1828204110501904384 |
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| author | Hao Dong, MD Lekang Yin, PhD Cuncheng Lou, MD Junjie Yang, MD Xinbin Wang, MD Yonggang Qiu, MD |
| author_facet | Hao Dong, MD Lekang Yin, PhD Cuncheng Lou, MD Junjie Yang, MD Xinbin Wang, MD Yonggang Qiu, MD |
| author_sort | Hao Dong, MD |
| collection | DOAJ |
| description | Abstract. The purpose of the study is to investigate the correlation of computed tomography (CT) quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma.
The study involved 141 lesions in 141 patients with early lung adenocarcinoma. According to the degree of tumor invasion, the lesions were assigned into (adenocarcinoma in situ + minimally invasive adenocarcinoma) group and invasive adenocarcinoma (IAC) group. Artificial intelligence-assisted diagnostic software was used to automatically outline the lesions and extract corresponding quantitative parameters on CT images. Statistical analysis was performed to explore the correlation of these parameters with tumor invasion and Ki-67 expression.
The results of logistic regression analysis showed that the short diameter of the lesion and the average CT value were independent predictors of IAC. Receiver operating characteristic curve analysis identified the average CT value as an independent predictor of IAC with the best performance, with the area under the receiver operating characteristic curve of 0.893 (P < .001), and the threshold of –450 HU. Besides, the predicted probability of logistic regression analysis model was detected to have the area under the curve of 0.931 (P < .001). The results of Spearman correlation analysis showed that the expression level of Ki-67 had the highest correlation with the average CT value of the lesion (r = 0.403, P < .001).
The short diameter of the lesion and the average CT value are independent predictors of IAC, and the average CT value is significantly positively correlated with the expression of tumor Ki-67. |
| first_indexed | 2024-04-12T12:17:06Z |
| format | Article |
| id | doaj.art-b39fc5b7f9bb4b77a22baaecadda2c07 |
| institution | Directory Open Access Journal |
| issn | 0025-7974 1536-5964 |
| language | English |
| last_indexed | 2024-04-12T12:17:06Z |
| publishDate | 2022-06-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Medicine |
| spelling | doaj.art-b39fc5b7f9bb4b77a22baaecadda2c072022-12-22T03:33:24ZengWolters KluwerMedicine0025-79741536-59642022-06-0110125e2937310.1097/MD.0000000000029373202206240-00029Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinomaHao Dong, MDLekang Yin, PhDCuncheng Lou, MDJunjie Yang, MDXinbin Wang, MDYonggang Qiu, MDAbstract. The purpose of the study is to investigate the correlation of computed tomography (CT) quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma. The study involved 141 lesions in 141 patients with early lung adenocarcinoma. According to the degree of tumor invasion, the lesions were assigned into (adenocarcinoma in situ + minimally invasive adenocarcinoma) group and invasive adenocarcinoma (IAC) group. Artificial intelligence-assisted diagnostic software was used to automatically outline the lesions and extract corresponding quantitative parameters on CT images. Statistical analysis was performed to explore the correlation of these parameters with tumor invasion and Ki-67 expression. The results of logistic regression analysis showed that the short diameter of the lesion and the average CT value were independent predictors of IAC. Receiver operating characteristic curve analysis identified the average CT value as an independent predictor of IAC with the best performance, with the area under the receiver operating characteristic curve of 0.893 (P < .001), and the threshold of –450 HU. Besides, the predicted probability of logistic regression analysis model was detected to have the area under the curve of 0.931 (P < .001). The results of Spearman correlation analysis showed that the expression level of Ki-67 had the highest correlation with the average CT value of the lesion (r = 0.403, P < .001). The short diameter of the lesion and the average CT value are independent predictors of IAC, and the average CT value is significantly positively correlated with the expression of tumor Ki-67.http://journals.lww.com/10.1097/MD.0000000000029373 |
| spellingShingle | Hao Dong, MD Lekang Yin, PhD Cuncheng Lou, MD Junjie Yang, MD Xinbin Wang, MD Yonggang Qiu, MD Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma Medicine |
| title | Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma |
| title_full | Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma |
| title_fullStr | Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma |
| title_full_unstemmed | Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma |
| title_short | Correlation of computed tomography quantitative parameters with tumor invasion and Ki-67 expression in early lung adenocarcinoma |
| title_sort | correlation of computed tomography quantitative parameters with tumor invasion and ki 67 expression in early lung adenocarcinoma |
| url | http://journals.lww.com/10.1097/MD.0000000000029373 |
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