Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer

Abstract

To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in 1591 consecutive patients. A radiomics signature was generated by using the Lasso-Cox regression model in 228 patients and validated in internal and external validation cohorts. Radiomics nomograms integrating the radiomics signature were constructed, demonstrating the incremental value of the radiomics signature to the traditional staging system for individualized survival estimation. The performance of the nomograms was assessed with respect to calibration, discrimination, and clinical usefulness. The radiomics signature consisted of 19 selected features and was significantly associated with DFS (disease-free survival) and OS (overall survival). Multivariate analysis demonstrated that the radiomics signature was an independent prognostic factor. Incorporating the radiomics signature into the radiomics-based nomograms resulted in better performance for the estimation of DFS and OS than the clinicopathological nomograms and TNM staging system, with improved accuracy of the classification of survival outcomes. Further analysis showed that stage II and III patients with higher radiomics scores exhibited a favorable response to chemotherapy. In conclusion, the newly developed radiomics signature is a powerful predictor of DFS and OS, and it may predict which patients with stage II and III GC benefit from chemotherapy.

Young age increases risk for lymph node positivity in gastric cancer: A Chinese multi-institutional database and US SEER database study

“…Clinically, accurate prediction of lymph node involvement is essential in helping doctors make decisions more reasonably [20,[25][26][27][28][29]. Treatment recommendations for a patient with GC would vary depending on lymph node status.…”

<p>The Correlation Between Computed Tomography Volumetry and Prognosis of Advanced Gastric Cancer Treated with Neoadjuvant Chemotherapy</p>

“…study will be necessary to fully evaluate these findings. Hence, CT tumor volumetry combined with some imaging biomarkers, 26,27 such as the apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging and the textural features from contrast-enhanced multidetector computed tomography, may represent a better choice for evaluating tumor response to NAC.…”

A Novel Prognostic Model to Predict Prognosis of Patients With Osteosarcoma Based on Clinical Characteristics and Blood Biomarkers

“…Although these ve predictors were easy to obtain, it was undeniable that these predictors were all non-speci c OSC predictors and may lack certain speci city. Some biomarkers may be incorporated into these prognostic models to improve speci city, such as immunohistochemical markers [41], radiomics [42,43], and recently newly applied non-coding RNAs [44,45]. 5.…”