Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.

Article  PubMed  Google Scholar 

Koh W-J, Abu-Rustum NR, Bean S, Bradley K, Campos SM, Cho KR, et al. Cervical Cancer, Version 3.2019, NCCN Clinical Practice guidelines in Oncology. J Natl Compr Canc Netw. 2019;17:64–84.

Article  CAS  PubMed  Google Scholar 

Serkies K, Jassem J. Systemic therapy for cervical carcinoma - current status. Chin J Cancer Res. 2018;30:209–21.

Article  PubMed  PubMed Central  Google Scholar 

Kalaghchi B, Abdi R, Amouzegar-Hashemi F, Esmati E, Alikhasi A. Concurrent chemoradiation with Weekly Paclitaxel and Cisplatin for locally Advanced Cervical Cancer. Asian Pac J Cancer Prev. 2016;17:287–91.

Article  PubMed  Google Scholar 

Hirakawa M, Nagai Y, Inamine M, Kamiyama K, Ogawa K, Toita T, et al. Predictive factor of distant recurrence in locally advanced squamous cell carcinoma of the cervix treated with concurrent chemoradiotherapy. Gynecol Oncol. 2008;108:126–9.

Article  PubMed  Google Scholar 

Zhao B, Cao K, Li X-T, Zhu H-T, Sun Y-S. Whole lesion histogram analysis of apparent diffusion coefficients on MRI predicts disease-free survival in locally advanced squamous cell cervical cancer after radical chemo-radiotherapy. BMC Cancer. 2019;19:1115.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zheng X, Guo W, Dong J, Qian L. Prediction of early response to concurrent chemoradiotherapy in cervical cancer: value of multi-parameter MRI combined with clinical prognostic factors. Magn Reson Imaging. 2020;72:159–66.

Article  PubMed  Google Scholar 

Perucho JAU, Wang M, Vardhanabhuti V, Tse KY, Chan KKL, Lee EYP. Association between IVIM parameters and treatment response in locally advanced squamous cell cervical cancer treated by chemoradiotherapy. Eur Radiol. 2021;31:7845–54.

Article  CAS  PubMed  Google Scholar 

Liu Y, Wu L, Tong R, Yang F, Yin L, Li M et al. PD-1/PD-L1 inhibitors in Cervical Cancer. Front Pharmacol. 2019;10.

Ma J-H, Huang Y, Liu L-Y, Feng Z. An 8-gene DNA methylation signature predicts the recurrence risk of cervical cancer. J Int Med Res. 2021;49:030006052110184.

Article  Google Scholar 

Seber T, Caglar E, Uylar T, Karaman N, Aktas E, Aribas BK. Diagnostic value of diffusion-weighted magnetic resonance imaging: differentiation of benign and malignant lymph nodes in different regions of the body. Clin Imaging. 2015;39:856–62.

Article  PubMed  Google Scholar 

Vallini V, Ortori S, Boraschi P, Manassero F, Gabelloni M, Faggioni L, et al. Staging of pelvic lymph nodes in patients with prostate cancer: usefulness of multiple b value SE-EPI diffusion-weighted imaging on a 3.0 T MR system. Eur J Radiol Open. 2016;3:16–21.

Article  PubMed  Google Scholar 

Zhang Y, Zhang K, Jia H, Xia B, Zang C, Liu Y, et al. IVIM-DWI and MRI-based radiomics in cervical cancer: prediction of concurrent chemoradiotherapy sensitivity in combination with clinical prognostic factors. Magn Reson Imaging. 2022;91:37–44.

Article  CAS  PubMed  Google Scholar 

Aerts HJWL. The potential of Radiomic-based phenotyping in Precision Medicine: a review. JAMA Oncol. 2016;2:1636–42.

Article  PubMed  Google Scholar 

Liu Z, Wang S, Dong D, Wei J, Fang C, Zhou X, et al. The applications of Radiomics in Precision diagnosis and treatment of Oncology: opportunities and challenges. Theranostics. 2019;9:1303–22.

Article  PubMed  PubMed Central  Google Scholar 

Cai M, Yao F, Ding J, Zheng R, Huang X, Yang Y, et al. MRI Radiomic features: a potential biomarker for progression-free survival prediction of patients with locally Advanced Cervical Cancer undergoing surgery. Front Oncol. 2021;11:749114.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cui Y, Wang G, Ren J, Hou L, Li D, Wen Q, et al. Radiomics Features at Multiparametric MRI Predict Disease-Free Survival in patients with locally advanced rectal Cancer. Acad Radiol. 2022;29:e128–38.

Article  PubMed  Google Scholar 

Chu F, Liu Y, Liu Q, Li W, Jia Z, Wang C, et al. Development and validation of MRI-based radiomics signatures models for prediction of disease-free survival and overall survival in patients with esophageal squamous cell carcinoma. Eur Radiol. 2022;32:5930–42.

Article  CAS  PubMed  Google Scholar 

Liu L, Pei W, Liao H, Wang Q, Gu D, Liu L, et al. A clinical-Radiomics Nomogram based on magnetic resonance imaging for Predicting Progression-Free Survival after induction chemotherapy in nasopharyngeal carcinoma. Front Oncol. 2022;12:792535.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Balkwill F, Mantovani A. Inflammation and cancer: back to Virchow? Lancet. 2001;357:539–45.

Article  CAS  PubMed  Google Scholar 

Mayne ST, Playdon MC, Rock CL. Diet, nutrition, and cancer: past, present and future. Nat Rev Clin Oncol. 2016;13:504–15.

Article  PubMed  Google Scholar 

Walsh SR, Cook EJ, Goulder F, Justin TA, Keeling NJ. Neutrophil-lymphocyte ratio as a prognostic factor in colorectal cancer. J Surg Oncol. 2005;91:181–4.

Article  CAS  PubMed  Google Scholar 

Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and Cancer. Cell. 2010;140:883–99.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Chen Y, Jin M, Shao Y, Xu G. Prognostic value of the systemic inflammation response index in patients with Adenocarcinoma of the Oesophagogastric Junction: a propensity score-matched analysis. Dis Markers. 2019;2019:4659048.

Article  PubMed  PubMed Central  Google Scholar 

Smith RA, Bosonnet L, Raraty M, Sutton R, Neoptolemos JP, Campbell F, et al. Preoperative platelet-lymphocyte ratio is an independent significant prognostic marker in resected pancreatic ductal adenocarcinoma. Am J Surg. 2009;197:466–72.

Article  PubMed  Google Scholar 

Zhu J, Wang D, Liu C, Huang R, Gao F, Feng X, et al. Development and validation of a new prognostic immune-inflammatory-nutritional score for predicting outcomes after curative resection for intrahepatic cholangiocarcinoma: a multicenter study. Front Immunol. 2023;14:1165510.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Tao C, Hong W, Yin P, Wu S, Fan L, Lei Z, et al. Nomogram based on body composition and Prognostic Nutritional Index predicts Survival after curative resection of gastric Cancer. Acad Radiol. 2024;31:1940–9.

Article  PubMed  Google Scholar 

Zhang Y, Liu L, Zhang K, Su R, Jia H, Qian L, et al. Nomograms Combining Clinical and Imaging parameters to predict recurrence and disease-free Survival after Concurrent Chemoradiotherapy in patients with locally Advanced Cervical Cancer. Acad Radiol. 2023;30:499–508.

Article  CAS  PubMed  Google Scholar 

Jiang X, Song J, Duan S, Cheng W, Chen T, Liu X. MRI radiomics combined with clinicopathologic features to predict disease-free survival in patients with early-stage cervical cancer. Br J Radiol. 2022;95:20211229.

Article  PubMed  PubMed Central  Google Scholar 

Zhang X, Zhao J, Zhang Q, Wang S, Zhang J, An J, et al. MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy. Cancer Imaging. 2022;22:35.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Holub K, Biete A. Impact of systemic inflammation biomarkers on the survival outcomes of cervical cancer patients. Clin Transl Oncol. 2019;21:836–44.

Article  CAS  PubMed  Google Scholar 

Chao B, Ju X, Zhang L, Xu X, Zhao Y. A novel prognostic marker systemic inflammation response index (SIRI) for operable cervical Cancer patients. Front Oncol. 2020;10.

Qu Z, Lu Y-J, Feng J-W, Chen Y-X, Shi L-Q, Chen J, et al. Preoperative Prognostic Nutritional Index and Neutrophil-to-lymphocyte ratio Predict Survival outcomes of patients with Hepatocellular Carcinoma after curative resection. Front Oncol. 2021;11:823054.