Balasubramanian SK, Sharma M, Venur VA, Schmitt P, Kotecha R, Chao ST, et al. Impact of EGFR mutation and ALK rearrangement on the outcomes of non-small cell lung cancer patients with brain metastasis. Neurooncology. 2020;22(2):267–77.

CAS  Google Scholar 

Nayak L, Lee EQ, Wen PY. Epidemiology of brain metastases. Curr Oncol Rep. 2012;14(1):48–54.

Google Scholar 

Barnholtz-Sloan JS, Sloan AE, Davis FG, Vigneau FD, Lai P, Sawaya RE. Incidence proportions of brain metastases in patients diagnosed (1973 to 2001) in the metropolitan Detroit cancer surveillance system. J Clin Oncol. 2004;22(14):2865–72.

Google Scholar 

Schouten LJ, Rutten J, Huveneers HAM, Twijnstra A. Incidence of brain metastases in a cohort of patients with carcinoma of the breast, colon, kidney, and lung and melanoma. Cancer. 2002;94(10):2698–705.

Google Scholar 

Chason JL, Walker FB, Landers JW. Metastatic carcinoma in the central nervous system and dorsal root ganglia. A prospective autopsy study. Cancer. 1963;16:781–7.

CAS  Google Scholar 

Fox BD, Cheung VJ, Patel AJ, Suki D, Rao G. Epidemiology of metastatic brain tumors. Neurosurg Clin North Am. 2011;22(1):1–.

Google Scholar 

Ulahannan D, Khalifa J, Faivre-Finn C, Lee SM. Emerging treatment paradigms for brain metastasis in non-small-cell lung cancer: an overview of the current landscape and challenges ahead. Ann Oncol. 2017;28(12):2923–31.

CAS  Google Scholar 

Sanchez de Cos J, Sojo Gonzalez MA, Victoria Montero M, Perez Calvo MC, Martin Vicente MJ, Hernandez Valle M. Non-small cell lung cancer and silent brain metastasis survival and prognostic factors. Lung Cancer. 2009;63(1):140–5.

Google Scholar 

Schuette W. Treatment of brain metastases from lung cancer: chemotherapy. Lung Cancer. 2004;45:S253–7.

Google Scholar 

Burel-Vandenbos F, Ambrosetti D, Coutts M, Pedeutour F. EGFR mutation status in brain metastases of non-small cell lung carcinoma. J Neurooncol. 2013;111(1):1–10.

CAS  Google Scholar 

Chen AM, Jahan TM, Jablons DM, Garcia J, Larson DA. Risk of cerebral metastases and neurological death after pathological complete response to neoadjuvant therapy for locally advanced nonsmall-cell lung cancer - Clinical implications for the subsequent management of the brain. Cancer. 2007;109(8):1668–75.

Google Scholar 

Gaspar L, Scott C, Rotman M, Asbell S, Phillips T, Wasserman T, et al. Recursive partitioning analysis (RPA) of prognostic factors in three radiation therapy oncology group (RTOG) brain metastases trials. Int J Radiat Oncol Biol Phys. 1997;37(4):745–51.

CAS  Google Scholar 

Sperduto PW, Kased N, Roberge D, Xu Z, Shanley R, Luo X, et al. Summary report on the graded prognostic assessment: an accurate and facile Diagnosis-Specific tool to estimate survival for patients with brain metastases. J Clin Oncol. 2012;30(4):419–25.

Google Scholar 

Brastianos HC, Cahill DP, Brastianos PK. Systemic therapy of brain metastases. Curr Neurol Neurosci Rep. 2015;15(2).

Ahluwalia MS, Chao ST, Parsons MW, Suh JH, Wang D, Mikkelsen T, et al. Phase II trial of Sunitinib as adjuvant therapy after stereotactic radiosurgery in patients with 1–3 newly diagnosed brain metastases. J Neurooncol. 2015;124(3):485–91.

CAS  Google Scholar 

Trifiletti DM, Lee C-C, Kano H, Cohen J, Janopaul-Naylor J, Alonso-Basanta M, et al. Stereotactic radiosurgery for brainstem metastases: an international cooperative study to define response and toxicity. Int J Radiat Oncol Biol Phys. 2016;96(2):280–8.

Google Scholar 

Hunter GK, Suh JH, Reuther AM, Vogelbaum MA, Barnett GH, Angelov L, et al. Treatment of five or more brain metastases with stereotactic radiosurgery. Int J Radiat Oncol Biol Phys. 2012;83(5):1394–8.

Google Scholar 

Linskey ME, Andrews DW, Asher AL, Burri SH, Kondziolka D, Robinson PD, et al. The role of stereotactic radiosurgery in the management of patients with newly diagnosed brain metastases: a systematic review and evidence-based clinical practice guideline. J Neurooncol. 2010;96(1):45–68.

Google Scholar 

Patil CG, Pricola K, Sarmiento JM, Garg SK, Bryant A, Black KL. Whole brain radiation therapy (WBRT) alone versus WBRT and radiosurgery for the treatment of brain metastases. Cochrane Database Syst Reviews. 2012(9).

Greener JG, Kandathil SM, Moffat L, Jones DT. A guide to machine learning for biologists. Nat Rev Mol Cell Biol. 2022;23(1):40–55.

CAS  Google Scholar 

Kourou K, Exarchos TP, Exarchos KP, Karamouzis MV, Fotiadis DI. Machine learning applications in cancer prognosis and prediction. Comput Struct Biotechnol J. 2015;13:8–17.

CAS  Google Scholar 

Handelman GS, Kok HK, Chandra RV, Razavi AH, Lee MJ, Asadi H. eDoctor: machine learning and the future of medicine. J Intern Med. 2018;284(6):603–19.

CAS  Google Scholar 

Churpek MM, Yuen TC, Winslow C, Meltzer DO, Kattan MW, Edelson DP. Multicenter comparison of machine learning methods and conventional regression for predicting clinical deterioration on the wards. Crit Care Med. 2016;44(2):368–74.

Google Scholar 

Tibshirani R. The Lasso method for variable selection in the Cox model. Stat Med. 1997;16(4):385–95.

CAS  Google Scholar 

Rajaratnam B, Roberts S, Sparks D, Yu H. Influence diagnostics for High-Dimensional Lasso regression. J Comput Graphical Stat. 2019;28(4):877–90.

Google Scholar 

Halabi S, Li C, Luo S. Developing and validating risk assessment models of clinical outcomes in modern oncology. JCO Precision Oncol. 2019;3.

Stoltzfus JC. Logistic regression: A brief primer. Acad Emerg Med. 2011;18(10):1099–104.

Google Scholar 

Lemon SC, Roy J, Clark MA, Friedmann PD, Rakowski W. Classification and regression tree analysis in public health: methodological review and comparison with logistic regression. Ann Behav Med. 2003;26(3):172–81.

Google Scholar 

Breiman L. Random forests. Mach Learn. 2001;45(1):5–32.

Google Scholar 

Lapin M, Hein M, Schiele B. Learning using privileged information: SVM plus and weighted SVM. Neural Netw. 2014;53:95–108.

Google Scholar 

Abu Alfeilat HA, Hassanat ABA, Lasassmeh O, Tarawneh AS, Alhasanat MB, Salman HSE, et al. Effects of distance measure choice on K-Nearest neighbor classifier performance: A review. Big Data. 2019;7(4):221–48.

Google Scholar 

Natekin A, Knoll A. Gradient boosting machines, a tutorial. Front Neurorobotics. 2013;7.

Chen T, Guestrin C, Assoc Comp M, editors. XGBoost: A Scalable Tree Boosting System. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD); 2016 2016 Aug 13–17; San Francisco, CA2016.

Amin J, Sharif M, Anjum MA, Raza M, Bukhari SAC. Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI. Cogn Syst Res. 2020;59:304–11.

Google Scholar 

Amin J, Sharif M, Haldorai A, Yasmin M, Nayak RS. Brain tumor detection and classification using machine learning: a comprehensive survey. Complex Intell Syst. 2022;8(4):3161–83.

Google Scholar 

Lundberg SM, Lee S-I, editors. A Unified Approach to Interpreting Model Predictions. 31st Annual Conference on Neural Information Processing Systems (NIPS); 2017 2017 Dec 04–09; Long Beach, CA2017.

Chen SY, Gao CX, Du Q, Tang LN, You HS, Dong YL. A prognostic model for elderly patients with squamous non-small cell lung cancer: a population-based study. J Translational Med. 2020;18(1).

Li WW, Ding C, Sheng W, Wan Q, Cui ZG, Qi GY, et al. Development and validation of a nomogram for the prediction of brain metastases in small cell lung cancer. Clin Respiratory J. 2023;17(5):456–67.

Google Scholar 

Wu Y, Zhu PZ, Chen YQ, Chen J, Xu L, Zhang HY. Relationship between marital status and survival in patients with lung adenocarcinoma A SEER-based study. Medicine. 2022;101(1).

Riihimäki M, Hemminki A, Fallah M, Thomsen H, Sundquist K, Sundquist J, et al. Metastatic sites and survival in lung cancer. Lung Cancer. 2014;86(1):78–84.

Google Scholar 

Kuchuk M, Kuchuk I, Sabri E, Hutton B, Clemons M, Wheatley-Price P. The incidence and clinical impact of bone metastases in non-small cell lung cancer. Lung Cancer. 2015;89(2):197–202.

Google Scholar 

Shan QG, Fan YL, Guo J, Han X, Wang HY, Wang ZH. Relationship between tumor size and metastatic site in patients with stage IV non-small cell lung cancer: A large SEER-based study. Peerj. 2019;7.

Kasmann L, Niyazi M, Blanck O, Baues C, Baumann R, Dobiasch S, et al. Predictive and prognostic value of tumor volume and its changes during radical radiotherapy of stage III non-small cell lung cancer A systematic review. Strahlenther Onkol. 2018;194(2):79–90.

Google Scholar 

Ascha MS, Ostrom QT, Wright J, Kumthekar P, Bordeaux JS, Sloan AE, et al. Lifetime occurrence of brain metastases arising from lung, breast, and skin cancers in the elderly: A SEER-Medicare study. Cancer Epidemiol Biomarkers Prev. 2019;28(5):917–25.

Google Scholar 

Wang M, Wu QJ, Zhang J, Qin GZ, Yang T, Liu YX, et al. Prognostic impacts of extracranial metastasis on non-small cell lung cancer with brain metastasis: A retrospective study based on surveillance, epidemiology, and end results database. Cancer Med. 2021;10(2):471–82.

CAS  Google Scholar 

Gu Y, Zhang JH, Zhou ZR, Liu D, Zhu HC, Wen JM, et al. Metastasis patterns and prognosis of octogenarians with NSCLC: A Population-based study. Aging Disease. 2020;11(1):82–92.

Google Scholar 

Yang J, Zhang Y, Sun XT, Gusdon AM, Song N, Chen LS, et al. The prognostic value of multiorgan metastases in patients with non-small cell lung cancer and its variants: a SEER-based study. J Cancer Res Clin Oncol. 2018;144(9):1835–42.

CAS  Google Scholar 

Ji Z, Bi N, Wang JB, Hui ZG, Xiao ZF, Feng QF, et al. Risk factors for brain metastases in locally advanced Non-Small cell lung cancer with definitive chest radiation. Int J Radiat Oncol Biol Phys. 2014;89(2):330–7.

Google Scholar 

Ceresoli GL, Reni M, Chiesa G, Carretta A, Schipani S, Passoni P, et al. Brain metastases in locally advanced nonsmall cell lung carcinoma after multimodality treatment -:  risk factors analysis. Cancer. 2002;95(3):605–12.

Google Scholar 

Gaspar LE, Chansky K, Albain KS, Vallieres E, Rusch V, Crowley JJ, et al. Time from treatment to subsequent diagnosis of brain, metastases in stage III non-small-cell lung cancer: A retrospective review by the Southwest oncology group. J Clin Oncol. 2005;23(13):2955–61.

Google Scholar 

Robnett TJ, Machtay M, Stevenson JP, Algazy KM, Hahn SM. Factors affecting the risk of brain metastases after definitive chemoradiation for locally advanced non-small-cell lung carcinoma. J Clin Oncol. 2001;19(5):1344–9.

CAS  Google Scholar 

Kim M, Suh CH, Lee SM, Park JE, Kim HC, Kim SO, et al. Development of brain metastases in patients with non-Small cell lung cancer and no brain metastases at initial staging evaluation: cumulative incidence and risk factor analysis. Am J Roentgenol. 2021;217(5):1184–93.

Google Scholar 

Johung KL, Yeh N, Desai NB, Williams TM, Lautenschlaeger T, Arvold ND, et al. Extended survival and prognostic factors for patients with ALK-Rearranged Non-Small-Cell lung cancer and brain metastasis. J Clin Oncol. 2016;34(2):123–.

CAS  Google Scholar 

Cetin IA, Akgun Z, Atasoy BM, Yumuk PF, Abacioglu U. Who May benefit from prophylactic cranial irradiation amongst stage III non-small cell lung cancer patients? J Buon. 2013;18(2):453–8.

Google Scholar 

Hsiao SH, Chung CL, Chou YT, Lee HL, Lin SE, Liu HE. Identification of subgroup patients with stage IIIB/IV non-small cell lung cancer at higher risk for brain metastases. Lung Cancer. 2013;82(2):319–23.

Google Scholar 

Mujoomdar A, Austin JHM, Malhotra R, Powell CA, Pearson GDN, Shiau MC, et al. Clinical predictors of metastatic disease to the brain from Non small cell lung carcinoma: primary tumor size, cell type, and lymph node metastases. Radiology. 2007;242(3):882–8.

Google Scholar 

Petrovic M, Ilic N, Loncarevic O, Cekerevac I, Lazic Z, Novkovic L, et al. Risk factors for brain metastases in surgically staged IIIA non-small cell lung cancer patients treated with surgery, radiotherapy and chemotherapy. Vojnosanit Pregl. 2011;68(8):643–9.

Google Scholar 

Hubbs JL, Boyd JA, Hollis D, Chino JP, Saynak M, Kelsey CR. Factors associated with the development of brain metastases analysis of 975 patients with early stage nonsmall cell lung cancer. Cancer. 2010;116(21):5038–46.

Google Scholar 

Arrieta O, Saavedra-Perez D, Kuri R, Aviles-Salas A, Martinez L, Mendoza-Posada D et al. Brain metastasis development and poor survival associated with carcinoembryonic antigen (CEA) level in advanced non-small cell lung cancer: a prospective analysis. BMC Cancer. 2009;9.

Zhu H, Ma XY, Yu JM. Risk factors of brain metastasis during the course of EGFR-TKIs therapy for patients with EGFR-Mutated advanced lung adenocarcinoma. J Thorac Oncol. 2017;12(1):S1484–S.

Google Scholar 

Zheng YW, Wang LL, Zhao WC, Dou Y, Lv W, Yang HY, et al. Risk factors for brain metastasis in patients with small cell lung cance