Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17–48.
Mizrahi JD, Surana R, Valle JW, Shroff RT. Pancreatic cancer. Lancet. 2020;395(10242):2008–20.
Article CAS PubMed Google Scholar
Park W, Chawla A, O’Reilly EM. Pancreat Cancer: Rev Jama. 2021;326(9):851–62.
Guo J, Xie K, Zheng S. Molecular biomarkers of pancreatic intraepithelial neoplasia and their implications in early diagnosis and therapeutic intervention of pancreatic Cancer. Int J Biol Sci. 2016;12(3):292–301.
Article CAS PubMed Central PubMed Google Scholar
Adamska A, Domenichini A, Falasca M. Pancreatic ductal adenocarcinoma: current and evolving therapies. Int J Mol Sci. 2017;18(7).
Wood LD, Canto MI, Jaffee EM, Simeone DM. Pancreatic Cancer: Pathogenesis, screening, diagnosis, and treatment. Gastroenterology. 2022;163(2):386–e402381.
Hayashi H, Uemura N, Matsumura K, Zhao L, Sato H, Shiraishi Y, et al. Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma. World J Gastroenterol. 2021;27(43):7480–96.
Article CAS PubMed Central PubMed Google Scholar
Rhee H, Park MS. The role of imaging in current treatment strategies for pancreatic adenocarcinoma. Korean J Radiol. 2021;22(1):23–40.
Tempero MA, Malafa MP, Al-Hawary M, Behrman SW, Benson AB, Cardin DB, et al. Pancreatic adenocarcinoma, Version 2.2021, NCCN Clinical Practice guidelines in Oncology. J Natl Compr Canc Netw. 2021;19(4):439–57.
Article CAS PubMed Google Scholar
Chun YS, Pawlik TM, Vauthey JN. 8th Edition of the AJCC Cancer staging Manual: pancreas and hepatobiliary cancers. Ann Surg Oncol. 2018;25(4):845–7.
Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, et al. Introduction to Radiomics. J Nucl Med. 2020;61(4):488–95.
Article CAS PubMed Central PubMed Google Scholar
Bezzi C, Mapelli P, Presotto L, Neri I, Scifo P, Savi A, et al. Radiomics in pancreatic neuroendocrine tumors: methodological issues and clinical significance. Eur J Nucl Med Mol Imaging. 2021;48(12):4002–15.
Article CAS PubMed Google Scholar
Cui S, Tang T, Su Q, Wang Y, Shu Z, Yang W, et al. Radiomic Nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study. Cancer Imaging. 2021;21(1):26.
Article PubMed Central PubMed Google Scholar
Parr E, Du Q, Zhang C, Lin C, Kamal A, McAlister J et al. Radiomics-based Outcome Prediction for Pancreatic Cancer following stereotactic body Radiotherapy. Cancers (Basel). 2020;12(4).
Xie N, Fan X, Xie H, Lu J, Yu L, Liu H et al. Preoperative Extrapancreatic Extension Prediction in Patients with Pancreatic Cancer Using Multiparameter MRI and Machine Learning-Based Radiomics Model. Acad Radiol. 2022.
Healy GM, Salinas-Miranda E, Jain R, Dong X, Deniffel D, Borgida A, et al. Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation. Eur Radiol. 2022;32(4):2492–505.
Nasief H, Zheng C, Schott D, Hall W, Tsai S, Erickson B, et al. A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer. NPJ Precis Oncol. 2019;3:25.
Article PubMed Central PubMed Google Scholar
Rassouli N, Etesami M, Dhanantwari A, Rajiah P. Detector-based spectral CT with a novel dual-layer technology: principles and applications. Insights Imaging. 2017;8(6):589–98.
Article PubMed Central PubMed Google Scholar
Wang D, Zhuang Z, Wu S, Chen J, Fan X, Liu M, et al. A dual-energy CT Radiomics of the Regional Largest Short-Axis Lymph Node can improve the prediction of Lymph Node Metastasis in patients with rectal Cancer. Front Oncol. 2022;12:846840.
Article PubMed Central PubMed Google Scholar
Chen Y, Yuan F, Wang L, Li E, Xu Z, Wels M, et al. Evaluation of dual-energy CT derived radiomics signatures in predicting outcomes in patients with advanced gastric cancer after neoadjuvant chemotherapy. Eur J Surg Oncol. 2022;48(2):339–47.
Li J, Dong D, Fang M, Wang R, Tian J, Li H, et al. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer. Eur Radiol. 2020;30(4):2324–33.
Han YE, Park BJ, Sung DJ, Kim MJ, Han NY, Sim KC, et al. Dual-layer spectral CT of Pancreas Ductal Adenocarcinoma: can virtual monoenergetic images of the portal venous phase be an alternative to the pancreatic-phase scan? J Belg Soc Radiol. 2022;106(1):83.
PubMed Central PubMed Google Scholar
Liang H, Zhou Y, Zheng Q, Yan G, Liao H, Du S, et al. Dual-energy CT with virtual monoenergetic images and iodine maps improves tumor conspicuity in patients with pancreatic ductal adenocarcinoma. Insights Imaging. 2022;13(1):153.
Article PubMed Central PubMed Google Scholar
Nagayama Y, Tanoue S, Inoue T, Oda S, Nakaura T, Utsunomiya D, et al. Dual-layer spectral CT improves image quality of multiphasic pancreas CT in patients with pancreatic ductal adenocarcinoma. Eur Radiol. 2020;30(1):394–403.
Wang Y, Hu X, Shi S, Song C, Wang L, Yuan J, et al. Utility of quantitative Metrics from Dual-Layer spectral-detector CT for differentiation of pancreatic neuroendocrine tumor and neuroendocrine carcinoma. AJR Am J Roentgenol. 2022;218(6):999–1009.
Dbouk M, Katona BW, Brand RE, Chak A, Syngal S, Farrell JJ, et al. The Multicenter Cancer of pancreas Screening Study: Impact on Stage and Survival. J Clin Oncol. 2022;40(28):3257–66.
Article CAS PubMed Central PubMed Google Scholar
Koo TK, Li MY. A Guideline of selecting and reporting Intraclass correlation coefficients for Reliability Research. J Chiropr Med. 2016;15(2):155–63.
Article PubMed Central PubMed Google Scholar
Jia Z, Guo L, Yuan W, Dai J, Lu J, Li Z, et al. Performance of dual-layer spectrum CT virtual monoenergetic images to assess early rectal adenocarcinoma T-stage: comparison with MR. Insights Imaging. 2024;15(1):11.
Article PubMed Central PubMed Google Scholar
Nagayama Y, Iyama A, Oda S, Taguchi N, Nakaura T, Utsunomiya D, et al. Dual-layer dual-energy computed tomography for the assessment of hypovascular hepatic metastases: impact of closing k-edge on image quality and lesion detectability. Eur Radiol. 2019;29(6):2837–47.
He M, Liu Z, Lin Y, Wan J, Li J, Xu K, et al. Differentiation of atypical non-functional pancreatic neuroendocrine tumor and pancreatic ductal adenocarcinoma using CT based radiomics. Eur J Radiol. 2019;117:102–11.
Bian Y, Guo S, Jiang H, Gao S, Shao C, Cao K, et al. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. Cancer Imaging. 2022;22(1):4.
Article PubMed Central PubMed Google Scholar
An C, Li D, Li S, Li W, Tong T, Liu L, et al. Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma. Eur J Nucl Med Mol Imaging. 2022;49(4):1187–99.
Cen C, Liu L, Li X, Wu A, Liu H, Wang X, et al. Pancreatic ductal adenocarcinoma at CT: a combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival Outcome. Front Oncol. 2021;11:594510.
Article CAS PubMed Central PubMed Google Scholar
Le O, Javadi S, Bhosale PR, Koay EJ, Katz MH, Sun J, et al. CT features predictive of nodal positivity at surgery in pancreatic cancer patients following neoadjuvant therapy in the setting of dual energy CT. Abdom Radiol (NY). 2021;46(6):2620–7.
Yin Q, Zou X, Zai X, Wu Z, Wu Q, Jiang X, et al. Pancreatic ductal adenocarcinoma and chronic mass-forming pancreatitis: differentiation with dual-energy MDCT in spectral imaging mode. Eur J Radiol. 2015;84(12):2470–6.
Noda Y, Goshima S, Miyoshi T, Kawada H, Kawai N, Tanahashi Y, et al. Assessing Chemotherapeutic Response in Pancreatic Ductal Adenocarcinoma: Histogram Analysis of Iodine Concentration and CT Number in single-source dual-energy CT. AJR Am J Roentgenol. 2018;211(6):1221–6.
Mathy RM, Fritz F, Mayer P, Klauss M, Grenacher L, Stiller W, et al. Iodine concentration and tissue attenuation in dual-energy contrast-enhanced CT as a potential quantitative parameter in early detection of local pancreatic carcinoma recurrence after surgical resection. Eur J Radiol. 2021;143:109944.
Shi HY, Lu ZP, Li MN, Ge YQ, Jiang KR, Xu Q. Dual-energy CT iodine concentration to evaluate postoperative pancreatic fistula after Pancreatoduodenectomy. Radiology. 2022;304(1):65–72.
Scapicchio C, Gabelloni M, Barucci A, Cioni D, Saba L, Neri E. A deep look into radiomics. Radiol Med. 2021;126(10):1296–311.
Article PubMed Central PubMed Google Scholar
Snell KIE, Archer L, Ensor J, Bonnett LJ, Debray TPA, Phillips B, et al. External validation of clinical prediction models: simulation-based sample size calculations were more reliable tha
留言 (0)