Researchers build a precise prediction model for the efficacy of chemotherapy/targeted therapy for non-small cell lung cancer

Chemotherapy/targeted therapy is the first choice for patients with advanced non-small cell lung cancer.
However, chemotherapy/targeted therapy is not suitable for all patients
.

Some patients do not respond to chemotherapy/targeted therapy, and this situation is not beneficial to the treatment, and even causes irreversible physical damage
.

At present, there are no clinical guidelines to guide doctors to evaluate the effects of chemotherapy/targeted therapy before treatment, resulting in unsatisfactory overall treatment effects for patients with advanced non-small cell lung cancer
.

Therefore, based on the lack of pre-treatment predictive methods, predicting the efficacy of chemotherapy/targeted therapy for non-small cell lung cancer has clinical significance for personalized medicine
.

Gao Xin's team, a researcher from the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, collaborated with Shandong Cancer Hospital to explore the predictive value of pre-treatment medical imaging information on the efficacy of chemotherapy/targeted therapy for non-small cell lung cancer
.

The study enrolled 322 patients with non-small cell lung cancer who received first-line chemotherapy, targeted therapy, or a combination of the two.
Among them, 152 were in the tumor response group and 170 were in the tumor non-response group.
The lung CT image data and data were collected.
Clinical data (age, serum markers, etc.
)
.

Researchers use CT images of tumor primary tumors, and use imaging omics methods and machine learning algorithms to build predictive models
.

Studies have shown that the imaging features of non-small cell lung cancer tumor regions have the ability to independently predict the effect of chemotherapy/targeted therapy, and the prediction accuracy of the model constructed by fusing the above features reaches 0.
746 (as shown in the figure), achieving the accuracy that has been reported so far.
The highest prediction of the efficacy of chemotherapy/targeted therapy for non-small cell lung cancer
.

　　The study explored and verified the predictive ability of tumor area imaging information (CT) on the effect of chemotherapy/targeted therapy in non-small cell lung cancer, constructed a prediction model for the efficacy of chemotherapy/targeted therapy in non-small cell lung cancer, and formulated personalized treatment plans for the clinic Provides a new theoretical basis and method
.

　　Related research results were published on European Radiology
.

ROC curve of non-small cell lung cancer chemotherapy/targeted therapy curative effect prediction model Source: Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences