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Review
. 2024 Jan 31;16(3):615.
doi: 10.3390/cancers16030615.

Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis

Affiliations
Review

Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis

Hwa-Yen Chiu et al. Cancers (Basel). .

Abstract

Immunotherapy, particularly with checkpoint inhibitors, has revolutionized non-small cell lung cancer treatment. Enhancing the selection of potential responders is crucial, and researchers are exploring predictive biomarkers. Delta radiomics, a derivative of radiomics, holds promise in this regard. For this study, a meta-analysis was conducted that adhered to PRISMA guidelines, searching PubMed, Embase, Web of Science, and the Cochrane Library for studies on the use of delta radiomics in stratifying lung cancer patients receiving immunotherapy. Out of 223 initially collected studies, 10 were included for qualitative synthesis. Stratifying patients using radiomic models, the pooled analysis reveals a predictive power with an area under the curve of 0.81 (95% CI 0.76-0.86, p < 0.001) for 6-month response, a pooled hazard ratio of 4.77 (95% CI 2.70-8.43, p < 0.001) for progression-free survival, and 2.15 (95% CI 1.73-2.66, p < 0.001) for overall survival at 6 months. Radiomics emerges as a potential prognostic predictor for lung cancer, but further research is needed to compare traditional radiomics and deep-learning radiomics.

Keywords: computed tomography; immune checkpoint inhibitor; immunotherapy; non-small cell lung cancer; radiomics; treatment outcome.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
PRISMA flowchart of the included studies.
Figure 2
Figure 2
Quality assessment. (a) Risk of bias for individual studies. (b) Summary of risk of biases [32,33,34,35,36,37,38,39,40,41].
Figure 3
Figure 3
Forest plots of the predictive performance of radiomics models in progression-free survival and overall survival of NSCLC patients treated with immunotherapy [32,33,34,35,36,37,38,39,41]. (a) The 6-month response, (b) hazard ratio for progression-free survival, (c) hazard ratio for overall survival.
Figure 4
Figure 4
Funnel plots of the pooled predictive performance of radiomics models in progression-free survival and overall survival of NSCLC patients treated with immunotherapy. (a) The 6-month response AUC, (b) hazard ratio for progression-free survival, (c) hazard ratio for overall survival.

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References

    1. Sung H., Ferlay J., Siegel R.L., Laversanne M., Soerjomataram I., Jemal A., Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin. 2021;71:209–249. doi: 10.3322/caac.21660. - DOI - PubMed
    1. World Health Organization Cancer: Key Facts. [(accessed on 1 October 2023)]. Available online: https://www.who.int/news-room/fact-sheets/detail/cancer.
    1. Herbst R.S., Heymach J.V., Lippman S.M. Lung cancer. N. Engl. J. Med. 2008;359:1367–1380. doi: 10.1056/NEJMra0802714. - DOI - PMC - PubMed
    1. Wakelee H.A., Chang E.T., Gomez S.L., Keegan T.H., Feskanich D., Clarke C.A., Holmberg L., Yong L.C., Kolonel L.N., Gould M.K., et al. Lung cancer incidence in never smokers. J. Clin. Oncol. 2007;25:472–478. doi: 10.1200/JCO.2006.07.2983. - DOI - PMC - PubMed
    1. Alberg A.J., Samet J.M. Epidemiology of lung cancer. Chest. 2003;123:21S–49S. doi: 10.1378/chest.123.1_suppl.21S. - DOI - PubMed

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