Development of a dual-energy spectral CT based nomogram for the preoperative discrimination of mutated and wild-type KRAS in patients with colorectal cancer
| Autor: | Weixia Li, Zhiyong Zhao, Xiaohong Yan, Yuntai Cao, Junlin Zhou, Wenjuan Zhang, Shenghui Zhang, Haihua Bao, Guojin Zhang, Jing Zhang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Dual energy
Receiver operating characteristic business.industry Colorectal cancer Nomogram medicine.disease_cause medicine.disease Logistic regression Proto-Oncogene Proteins p21(ras) Nomograms ROC Curve medicine Humans Radiology Nuclear Medicine and imaging In patient KRAS Colorectal Neoplasms Tomography X-Ray Computed Nuclear medicine business Kras mutation |
| Zdroj: | Clinical Imaging. 69:205-212 |
| ISSN: | 0899-7071 |
| Popis: | Purpose To develop a dual-energy spectral CT (DESCT) nomogram for the preoperative identification of KRAS mutation in patients with colorectal cancer (CRC). Method One hundred and twenty-four patients who underwent energy spectrum CT pre-operatively were recruited and split into mutated KRAS group (n = 50) and wild-type KRAS group (n = 74). DESCT parameters, including monochromatic CT value, iodine concentration, water concentration, and effective atomic number were measured independently by two reviewers in the arterial, venous, and delayed phases. Normalized iodine concentration (NIC) and slope k of the spectral HU curve were calculated. Evaluate other imaging features such as ATL/LTL ratio, tumor gross pattern, pericolorectal fat invasion (PFI) was also performed by these reviewers. Independent predictors for KRAS mutation were screened out using logistic regression, and these predictors were presented as a nomogram. The receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) were used to evaluate the clinical usefulness of the nomogram. Results The slope k in the arterial phase, effective atomic number in the arterial phase, NIC in the venous phase, ATL/LTL ratio and PFI were significant independent predictors for KRAS mutation. Based on these independent predictors, a quantitative nomogram was developed to predict individual KRAS mutation probability. The nomogram had excellent performance with an AUC of 0.848 and excellent calibration. DCA showed that our nomogram has outstanding clinical utility. Conclusions This study demonstrates that a DESCT based nomogram has potential value for individual preoperative identification of KRAS mutation in CRC patients. |
| Databáze: | OpenAIRE |
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