Employing a Backpropagation Neural Network for Predicting Fear of Cancer Recurrence among Non-Small Cell Lung Cancer Patients
Article ID:
3845
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Abstract
Objective: Non-small cell lung cancer (NSCLC) patients often experience significant fear of recurrence. To facilitate precise identification and appropriate management of this fear, this study aimed to compare the efficacy and accuracy of a Backpropagation Neural Network (BPNN) against logistic regression in modeling fear of cancer recurrence prediction. Methods: Data from 596 NSCLC patients, collected between September 2023 and December 2023 at the Cancer Hospital of the Chinese Academy of Medical Sciences, were analyzed. Nine clinically and statistically significant variables, identified via univariate logistic regression, were inputted into both BPNN and logistic regression models developed on a training set (N = 427) and validated on an independent set (N = 169). Model performances were assessed using Area Under the Receiver Operating Characteristic (ROC) Curve and Decision Curve Analysis (DCA) in both sets. Results: The BPNN model, incorporating nine selected variables, demonstrated superior performance over logistic regression in the training set (AUC = 0.842 vs. 0.711, p < 0.001) and validation set (0.7 vs. 0.675, p < 0.001). Conclusion: The BPNN model outperforms logistic regression in accurately predicting fear of cancer recurrence in NSCLC patients, offering an advanced approach for fear assessment.
References
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2.Polanski J, Jankowska-Polanska B, Rosinczuk J, Chabowski M, Szymanska-Chabowska A. Quality of life of patients with lung cancer. Onco Targets Ther. 2016;9:1023–8. [Google Scholar] [PubMed]
3.Yoo JE, Han K, Shin DW, Park SH, Cho IY, Yoon DW, et al. Conditional relative survival and competing mortality in patients who underwent surgery for lung cancer: a nationwide cohort study. Int J Cancer. 2021;148(3):626–36. doi:10.1002/ijc.v148.3. [Google Scholar] [CrossRef]
4.Jones SM, Ziebell R, Walker R, Nekhlyudov L, Rabin BA, Nutt S, et al. Association of worry about cancer to benefit finding and functioning in long-term cancer survivors. Support Care Cancer. 2017;25:1417–22. doi:10.1007/s00520-016-3537-z. [Google Scholar] [PubMed] [CrossRef]
5.Gowing S, Baker L, Tran A, Zhang Z, Ahn H, Ivanovic J, et al. Correction to: postoperative adverse events are associated with oncologic recurrence following curative‐intent resection for lung cancer. Lung. 2020;198(6):983. doi:10.1007/s00408-020-00409-3. [Google Scholar] [PubMed] [CrossRef]
6.Mutsaers B, Jones G, Rutkowski N, Tomei C, Leclair CS, Petricone-Westwood D, et al. When fear of cancer recurrence becomes a clinical issue: a qualitative analysis of features associated with clinical fear of cancer recurrence. Support Care Cancer. 2016;24(10):4207–18. doi:10.1007/s00520-016-3248-5. [Google Scholar] [PubMed] [CrossRef]
7.Kim SJ, Kang D, Kim IR, Yoon SE, Kim WS, Butow PN, et al. Impact of fear of cancer recurrence on survival among lymphoma patients. Psycho-Oncology. 2020;29(2):364–72. doi:10.1002/pon.5265. [Google Scholar] [PubMed] [CrossRef]
8.Wang Q, Wei Q, Zhong Q, Ying X, Li D, Lin X, et al. Research on the current situation and influencing factors of fear of cancer recurrence in lung cancer patients. Nurs Manag China. 2020;20(10):1595–600 (In Chinese). [Google Scholar]
9.Du J, Lin L. Application of snyder’s hope theory combined with the satir model in the rehabilitation treatment of middle-aged and young stroke patients. West China Med J. 2021;36(12):1692–9 (In Chinese). doi:10.7507/1002-0179.202106074. [Google Scholar] [CrossRef]
10.Yang L, Li Y, Wang X, Xia C, Yang L, Li X, et al. Examining the role of resilience in the relationship between social support and fear of recurrence among patients with gastric cancer on chemotherapy: a cross-sectional study in Jiangsu, China. BMJ Open. 2024;16:4(6):e078679. doi:10.1136/bmjopen-2023-078679. [Google Scholar] [PubMed] [CrossRef]
11.Zeilani RS, Younis WY, Albusoul R, Hasanien A, Hamdan-Mansour A. The buffering role of social support on the severity of physical symptoms among patients living with cancer. Int J Palliat Nurs. 2023;29(5):204–15. doi:10.12968/ijpn.2023.29.5.204. [Google Scholar] [PubMed] [CrossRef]
12.Zhong M, She F, Wang W, Ding L, Wang A. The mediating effects of resilience on perceived social support and fear of cancer recurrence in glioma patients. Psychol Res Behav Manag. 2022;15:2027–33. doi:10.2147/PRBM.S374408. [Google Scholar] [PubMed] [CrossRef]
13.Zheng W, Hu M, Liu Y. Social support can alleviate the fear of cancer recurrence in postoperative patients with lung carcinoma. Am J Trans Res. 2022;14(7):4804–11. [Google Scholar] [PubMed]
14.Liu M, Liu L, Lv Z, Mao Y, Liu Y. Investigating the determinants of fear of cancer recurrence in patients with early-stage non-small cell lung cancer: insights from a restricted cubic spline model. Cancer Med. 2024;13:e7406. doi:10.1002/cam4.v13.12. [Google Scholar] [CrossRef]
15.Ben SJ, Dörner M, Günther MP, von Känel R, Euler S. Proof of concept: predicting distress in cancer patients using back propagation neural network (BPNN). Heliyon. 2023;9(8):e18328. doi:10.1016/j.heliyon.2023.e18328. [Google Scholar] [PubMed] [CrossRef]
16.Guo Z, Dong J, Yao F, Wang Y, Wang H, Wang C, et al. Application of BP neural network in the study of hospitalization costs in patients with schizophrenia. Henan J Prev Med. 2022;33(11):820–5. doi:10.13515/j.cnki.hnjpm.1006-8414.2022.11.005. [Google Scholar] [CrossRef]
17.Dwivedi C, Rao J. Multilingual sentiment analysis for detecting mental health problems using a hybrid algorithm combining RNN and Bi-LSTM. In: Proceedings of the 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), 2023 October 12–13; New York, NY, USA. [Google Scholar]
18.Mehnert A, Herschbach P, Berg P, Henrich G, Koch U. Fear of progression in breast cancer patients--validation of the short form of the Fear of Progression Questionnaire (FoP-Q-SF). Z Fur Psychosom Medi Psychoth. 2006;52(3):274–88. [Google Scholar]
19.Wu Q, Ye Z, Li L, Liu P. Sinicization and reliability and validity analysis of simplified scale of fear of disease progression in cancer patients. Chin J Nurs. 2015;50(12):1515–9 (In Chinese). [Google Scholar]
20.Herth K. Enhancing hope in people with a first recurrence of cancer. J Adv Nurs. 2000;32(6):1431–41. doi:10.1046/j.1365-2648.2000.01619.x. [Google Scholar] [PubMed] [CrossRef]
21.Zhang Y. A study on the relationship between hope levels and anxiety and depressive mood in maintenance hemodialysis patients. Soochow University: Suzhou, China; 2011. [Google Scholar]
22.Xiao S. The theoretical basis and research application of the Social Support Rating Scale. J Clin Psychiatr. 1994;4(2):98–100. [Google Scholar]
23.Liu M, Liu L, Zhang S, Li T, Ma F, Liu Y. Fear of cancer recurrence and hope level in patients receiving surgery for non-small cell lung cancer: a study on the mediating role of social support. Support Care Cancer. 2022;30(11):9453–60. doi:10.1007/s00520-022-07318-6. [Google Scholar] [PubMed] [CrossRef]
24.Bedaso A, Adams J, Peng W, Sibbritt D. The mediational role of social support in the relationship between stress and antenatal anxiety and depressive symptoms among Australian women: a mediational analysis. Reprod Health. 2021;18:1–10. [Google Scholar]
25.Wang D, Zheng W, Yan T, Duan H, Hou S. Fear of recurrence in gastric cancer patients and its association with depression. Modern Prev Med. 2018;45(20):3824–7. [Google Scholar]
26.Calderon C, Gustems M, Galán-Moral R, Muñoz-Sánchez MM, Ostios-García L, Jiménez-Fonseca P. Fear of recurrence in advanced cancer patients: sociodemographic, clinical, and psychological correlates. Cancers. 2024;23:16(5):909. doi:10.3390/cancers16050909. [Google Scholar] [PubMed] [CrossRef]
27.Sun H, Yang Y, Zhang J, Li T, Wang H, Garg S, et al. Fear of cancer recurrence, anxiety and depressive symptoms in adolescent and young adult cancer patients. Neuropsychiatr Dis Treat. 2019;15:857–65. doi:10.2147/NDT. [Google Scholar] [CrossRef]
Published
2024-12-04
How to Cite
Liu, M., Lv, Z., Wang, H., & Liu, L. (2024). Employing a Backpropagation Neural Network for Predicting Fear of Cancer Recurrence among Non-Small Cell Lung Cancer Patients. Psycho-Oncologie, 18(4). Retrieved from https://ojs.piscomed.com/index.php/PO/article/view/3845
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