Radiomic and dosimetric parameter-based nomogram predicts radiation esophagitis in patients with non-small cell lung cancer undergoing combined immunotherapy and radiotherapy
2024

Predicting Radiation Esophagitis in Lung Cancer Patients

Sample size: 102 publication 10 minutes Evidence: high

Author Information

Author(s): Wang Kang, Zhao Junfeng, Duan Jinghao, Feng Changxing, Li Ying, Li Li, Yuan Shuanghu

Primary Institution: Shandong Cancer Hospital and Institute

Hypothesis

Can a nomogram based on radiomic and dosimetric parameters predict radiation esophagitis in patients with non-small cell lung cancer undergoing combined immunotherapy and radiotherapy?

Conclusion

The developed nomogram effectively predicts the occurrence of radiation esophagitis in patients with non-small cell lung cancer treated with immunotherapy and radiotherapy.

Supporting Evidence

  • 38 out of 102 patients developed radiation esophagitis.
  • The nomogram showed an AUC of 0.918 in the training cohort.
  • Independent predictors included maximum dose to the esophagus >58.4 Gy and mean esophagus dose >13.3 Gy.
  • The model demonstrated good calibration and clinical effectiveness.

Takeaway

Doctors can use a special chart to help figure out which lung cancer patients might get a sore throat from radiation treatment, so they can take steps to prevent it.

Methodology

The study analyzed data from 102 patients, using logistic regression to identify predictors of radiation esophagitis and developing a nomogram based on significant factors.

Potential Biases

Selection bias may be present due to the retrospective nature of the study.

Limitations

The study is retrospective, single-center, and has a relatively small sample size.

Participant Demographics

Of the 102 patients, 86.3% were male and 42.2% were aged 60 or younger.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI: 0.824–1.000

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3389/fonc.2024.1490348

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