A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer
| Autor: | Xiangchun Liu, Yan Guo, Yunming Xie, Huimao Zhang, Xiaochen Huai, Yiying Zhang, Fanyang Meng, Hongguang Zhao, Qianting Wong, Yu Fu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Lung Neoplasms PET-CT Lymphatic metastasis 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Non-small cell lung cancer Carcinoma Non-Small-Cell Lung Positron Emission Tomography Computed Tomography medicine Humans Radiology Nuclear Medicine and imaging Lung cancer Lymph node Neuroradiology Retrospective Studies business.industry General Medicine Nomogram medicine.disease Confidence interval Nomograms medicine.anatomical_structure Imaging Informatics and Artificial Intelligence 030220 oncology & carcinogenesis Cohort Radiology Tomography business Tomography X-Ray Computed |
| Zdroj: | European Radiology |
| ISSN: | 1432-1084 |
| Popis: | Objectives To develop and validate a PET/CT nomogram for preoperative estimation of lymph node (LN) staging in patients with non-small cell lung cancer (NSCLC). Methods A total of 263 pathologically confirmed LNs from 124 patients with NCSLC were retrospectively analyzed. Positron-emission tomography/computed tomography (PET/CT) examination was performed before treatment according to the clinical schedule. In the training cohort (N = 185), malignancy-related features, such as SUVmax, short-axis diameter (SAD), and CT radiomics features, were extracted from the regions of LN based on the PET/CT scan. The Minimum-Redundancy Maximum-Relevance (mRMR) algorithm and the Least Absolute Shrinkage and Selection Operator (LASSO) regression model were used for feature selection and radiomics score building. The radiomics score (Rad-Score) and SUVmax were incorporated in a PET/CT nomogram using the multivariable logistic regression analysis. The performance of the proposed model was evaluated with discrimination, calibration, and clinical application in an independent testing cohort (N = 78). Results The radiomics scores consisting of 14 selected features were significantly associated with LN status for both training cohort with AUC of 0.849 (95% confidence interval (CI), 0.796–0.903) and testing cohort with AUC of 0.828 (95% CI, 0.782–0.919). The PET/CT nomogram incorporating radiomics score and SUVmax showed moderate improvement of the efficiency with AUC of 0.881 (95% CI, 0.834–0.928) in the training cohort and AUC of 0.872 (95% CI, 0.797–0.946) in the testing cohort. The decision curve analysis indicated that the PET/CT nomogram was clinically useful. Conclusion The PET/CT nomogram, which incorporates Rad-Score and SUVmax, can improve the diagnostic performance of LN metastasis. Key Points • The PET/CT nomogram (Int-Score) based on lymph node (LN) PET/CT images can reliably predict LN status in NSCLC. • Int-Score is a relatively objective diagnostic method, which can play an auxiliary role in the process of clinicians making treatment decisions. |
| Databáze: | OpenAIRE |
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