The associations among quantitative spectral CT parameters, Ki-67 expression levels and EGFR mutation status in NSCLC
| Autor: | Handong Jiang, Huawei Wu, Jiejun Cheng, Ying Zhang, Feng Zhang, Liao-Yi Lin, Daoqiang Tang, Jianrong Xu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Oncology
Male medicine.medical_specialty Lung Neoplasms lcsh:Medicine Imaging data Article 030218 nuclear medicine & medical imaging Diagnosis Differential 03 medical and health sciences 0302 clinical medicine Internal medicine Carcinoma Non-Small-Cell Lung medicine Humans Lung cancer lcsh:Science Aged Multidisciplinary Receiver operating characteristic analysis biology business.industry lcsh:R Smoking Area under the curve Middle Aged medicine.disease ErbB Receptors Ki-67 Antigen Logistic Models ROC Curve Egfr mutation 030220 oncology & carcinogenesis Ki-67 Area Under Curve Mutation biology.protein Smoking status lcsh:Q Cancer imaging Female business Material decomposition Tomography X-Ray Computed X-ray tomography Iodine |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) |
| ISSN: | 2045-2322 |
| Popis: | Dual-energy spectral computed tomography (DESCT) is based on fast switching between high and low voltages from view to view to obtain dual-energy imaging data, and it can generate monochromatic image sets, iodine-based material decomposition images and spectral CT curves. Quantitative spectral CT parameters may be valuable for reflecting Ki-67 expression and EGFR mutation status in non-small-cell lung cancer (NSCLC). We investigated the associations among the quantitative parameters generated in DESCT and Ki-67 expression and EGFR mutation in NSCLC. We studied sixty-five NSCLC patients with preoperative DESCT scans, and their specimens underwent Ki-67 and EGFR evaluations. Statistical analyses were performed to identify the spectral CT parameters for the diagnosis of Ki-67 expression and EGFR mutation status. We found that tumour grade and the slope of the spectral CT curve in the venous phase were the independent factors influencing the Ki-67 expression level, and the area under the curve (AUC) of the slope of the spectral CT curve in the venous phase in the receiver operating characteristic analysis for distinguishing different Ki-67 expression levels was 0.901. Smoking status and the normalized iodine concentration in the venous phase were independent factors influencing EGFR mutation, and the AUC of the two-factor combination for predicting the presence of EGFR mutation was 0.807. These results show that spectral CT parameters may be useful for predicting Ki-67 expression and the presence of EGFR mutation in NSCLC. |
| Databáze: | OpenAIRE |
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