Singh D, Vignat J, Lorenzoni V et al (2023) Global estimates of incidence and mortality of cervical cancer in 2020: a baseline analysis of the WHO Global Cervical Cancer Elimination Initiative. Lancet Glob Health 11:e197–e206
Article CAS PubMed Google Scholar
Cohen PA, Jhingran A, Oaknin A, Denny L (2019) Cervical cancer. Lancet 393:169–182
Tian X, Wang X, Cui Z et al (2021) A fifteen-gene classifier to predict neoadjuvant chemotherapy responses in patients with stage IB to IIB squamous cervical cancer. Adv Sci (Weinh) 8:2001978
Article CAS PubMed PubMed Central Google Scholar
Abu-Rustum NR, Yashar CM, Bean S et al (2020) NCCN guidelines insights: cervical cancer, version 1.2020. J Natl Compr Canc Netw 18:660–666
Dyer BA, Zamarin D, Eskandar RN, Mayadev JM (2019) Role of immunotherapy in the management of locally advanced and recurrent/metastatic cervical cancer. J Natl Compr Canc Netw 17:91–97
Article CAS PubMed Google Scholar
Pötter R, Tanderup K, Schmid MP, EMBRACE Collaborative Group et al (2021) MRI-guided adaptive brachytherapy in locally advanced cervical cancer (EMBRACE-I): A multicentre prospective cohort study. Lancet Oncol 22:538–547
Morris M, Eifel PJ, Lu J et al (1999) Pelvic Radiation with Concurrent Chemotherapy Compared with Pelvic and Para-Aortic Radiation for High-Risk Cervical Cancer. N. Engl. J. Med 340:1137–1143
Article CAS PubMed Google Scholar
Vale C, Jakobsen A (2008) Reducing Uncertainties About the Effects of Chemoradiotherapy for Cervical Cancer: A Systematic Review and Meta-Analysis of Individual Patient Data From 18 Randomized Trials. J. Clin. Oncol 26:5802–5812
Huang Y, Gomaa A, Höfler D et al (2025) Principles of artificial intelligence in radiooncology. Strahlenther Onkol 201(3):210–235. https://doi.org/10.1007/s00066-024-02272-0
Luo W (2021) Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning. Front Artif Intell 4:627369. https://doi.org/10.3389/frai.2021.627369
Article PubMed PubMed Central Google Scholar
Jha AK, Mithun S, Sherkhane UB et al (2023) Systematic review and meta-analysis of prediction models used in cervical cancer. Artif Intell Med 139:102549. https://doi.org/10.1016/j.artmed.2023.102549
Winter WE, Maxwell GL, Tian C et al (2004) Association of hemoglobin level with survival in cervical carcinoma patients treated with concurrent cisplatin and radiotherapy: a Gynecologic Oncology Group Study. Gynecol Oncol 94(2):495–501. https://doi.org/10.1016/j.ygyno.2004.04.008
Article CAS PubMed Google Scholar
Grogan M, Thomas GM, Melamed I et al (1999) The importance of hemoglobin levels during radiotherapy for carcinoma of the cervix. Cancer 86(8):1528–1536
Article CAS PubMed Google Scholar
Barkati M, Fortin I, Mileshkin L et al (2013) Hemoglobin level in cervical cancer: a surrogate for an infiltrative phenotype. Int J Gynecol Cancer 23(4):724–729. https://doi.org/10.1097/IGC.0b013e31828a0623
Fyles AW, Milosevic M, Pintilie M et al (2000) Anemia, hypoxia and transfusion in patients with cervix cancer: a review. Clin Transl Radiat Oncol 57(1):13–19. https://doi.org/10.1016/s0167-8140(00)00245-0
Article CAS PubMed Google Scholar
Bishop AJ, Allen PK, Klopp AH et al (2015) Relationship between low hemoglobin levels and outcomes after treatment with radiation or chemoradiation in patients with cervical cancer: has the impact of anemia been overstated? Adv Radiat Oncol 91(1):196–205. https://doi.org/10.1016/j.ijrobp.2014.09.023
Article CAS PubMed Google Scholar
Tavares-Murta BM, Mendonca MA, Duarte NL et al (2010) Systemic leukocyte alterations are associated with invasive uterine cervical cancer. Int J Gynecol Cancer 20(7):1154–1159. https://doi.org/10.1111/igc.0b013e3181ef8deb
Garcia-Arias A, Cetina L, Candelaria M, Robles E, Duenas-Gonzalez A (2007) The prognostic significance of leukocytosis in cervical cancer. Int J Gynecol Cancer 17(2):465–470. https://doi.org/10.1111/j.1525-1438.2007.00816.x
Article CAS PubMed Google Scholar
Mabuchi S, Matsumoto Y, Isohashi F et al (2011) Pretreatment leukocytosis is an indicator of poor prognosis in patients with cervical cancer. Gynecol Oncol 122(1):25–32. https://doi.org/10.1016/j.ygyno.2011.03.037
Cho Y, Kim KH, Yoon HI, Kim GE, Kim YB (2016) Tumor-related leukocytosis is associated with poor radiation response and clinical outcome in uterine cervical cancer patients. Facts Views Vis Obgyn 27(11):2067–2074. https://doi.org/10.1093/annonc/mdw308
Article CAS PubMed Google Scholar
Koulis TA, Kornaga EN, Banerjee R et al (2017) Anemia, leukocytosis and thrombocytosis as prognostic factors in patients with cervical cancer treated with radical chemoradiotherapy: A retrospective cohort study. Clin. Transl. Radiat. Oncol 12:51–56
Holub K, Biete A (2019) Impact of systemic inflammation biomarkers on the survival outcomes of cervical cancer patients. Clin. Transl. Oncol 21:836–844
Article CAS PubMed Google Scholar
Elmali A, Guler OC, Demirhan B et al (2024) Long-term analysis of hematological parameters as predictors of recurrence patterns and treatment outcomes in cervical cancer patients undergoing definitive chemoradiotherapy. Strahlenther Onkol 200(11):949–957
Article PubMed PubMed Central Google Scholar
Mizunuma M, Yokoyama Y, Futagami M et al (2015) The pretreatment neutrophil-to-lymphocyte ratio predicts therapeutic response to radiation therapy and concurrent chemoradiation therapy in uterine cervical cancer. Int J Clin Oncol 20:989–996
Article CAS PubMed Google Scholar
Li YX, Chang JY, He MY, et al. (2021) Neutrophil-to-Lymphocyte Ratio (NLR) and Monocyte-to-Lymphocyte Ratio (MLR) Predict Clinical Outcome in Patients with Stage IIB Cervical Cancer. J. Oncol. 2939162
Ferioli M, Benini A, Malizia C et al (2023) Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor‑, Patient-, and Treatment-Related Data (ESTHER Study). J. Pers. Med 13:1229
Article PubMed PubMed Central Google Scholar
Medici F, Ferioli M, Forlani L et al (2023) Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study). Cancers 15:5056
Article CAS PubMed PubMed Central Google Scholar
Medici F, Ferioli M, Cammelli S et al (2024) Sarcopenic Obesity in Cervical Carcinoma: A Strong and Independent Prognostic Factor beyond the Conventional Predictors (ESTHER Study-AFRAID Project). Cancers 16:929
Article CAS PubMed PubMed Central Google Scholar
Mehmood M, Rizwan M, Gregus MlM, Abbas S (2021) Machine Learning Assisted Cervical Cancer Detection. Front Public Health 9:788376. https://doi.org/10.3389/fpubh.2021.788376
Article PubMed PubMed Central Google Scholar
Shakil R, Islam S, Akter B (2024) A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI. J Pathol Inform 15:100398. https://doi.org/10.1016/j.jpi.2024.100398
Article PubMed PubMed Central Google Scholar
Ding D, Lang T, Zou D et al (2021) Machine learning-based prediction of survival prognosis in cervical cancer. BMC Bioinformatics 22(1):331. https://doi.org/10.1186/s12859-021-04261-x
Comments (0)