Kato H, Isaji S, Azumi Y, Kishiwada M, Hamada T, Mizuno S, et al. Development of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) after pancreaticoduodenectomy: proposal of a postoperative NAFLD scoring system. J Hepato-Bil Pancreat Sci. 2010;17:296–304. https://doi.org/10.1007/s00534-009-0187-2.
Sato R, Kishiwada M, Kuriyama N, Azumi Y, Mizuno S, Usui M, et al. Paradoxical impact of the remnant pancreatic volume and infectious complications on the development of nonalcoholic fatty liver disease after pancreaticoduodenectomy. J Hepato-Bil Pancreat Sci. 2014;21:562–72. https://doi.org/10.1002/jhbp.115.
Miura H, Ijichi M, Ando Y, Hayama K, IIhara K, Yamada H, et al. A rapidly progressive and fatal case of nonalcoholic steatohepatitis following pancreaticoduodenectomy. Clin J Gastroenterol. 2013;6:470–5. https://doi.org/10.1007/s12328-013-0421-y.
Murata Y, Mizuno S, Kato H, Kishiwada M, Ohsawa I, Hamada T, et al. Nonalcoholic steatohepatitis (NASH) after pancreaticoduodenectomy: association of pancreatic exocrine deficiency and infection. Clin J Gastroenterol. 2011;4:242–8. https://doi.org/10.1007/s12328-011-0226-9.
Nakagawa N, Murakami Y, Uemura K, Sudo T, Hashimoto Y, Kondo N, et al. Nonalcoholic fatty liver disease after pancreatoduodenectomy is closely associated with postoperative pancreatic exocrine insufficiency. J Surg Oncol. 2014;110:720–6. https://doi.org/10.1002/jso.23693.
Article CAS PubMed Google Scholar
Matsumoto J, Traverso LW. Exocrine function following the Whipple operation as assessed by stool elastase. J Gastrointest Surg. 2006;10:1225–9. https://doi.org/10.1016/j.gassur.2006.08.001.
Satoi S, Sho M, Yanagimoto H, Yamamoto T, Akahori T, Kinoshita S, et al. Do pancrelipase delayed-release capsules have a protective role against nonalcoholic fatty liver disease after pancreatoduodenectomy in patients with pancreatic cancer? A randomized controlled trial. J Hepatobiliary Pancreat Sci. 2016;23:167–73. https://doi.org/10.1002/jhbp.318.
Yasukawa K, Shimizu A, Yokoyama T, Kubota K, Notake T, Seki H, et al. Preventive effect of high-dose digestive enzyme management on development of nonalcoholic fatty liver disease after pancreaticoduodenectomy: a randomized controlled clinical trial. J Am Coll Surg. 2020;231:658–69. https://doi.org/10.1016/j.jamcollsurg.2020.08.761.
Hoshino I, Yokota H. Radiogenomics of gastroenterological cancer: the dawn of personalized medicine with artificial intelligence-based image analysis. Ann Gastroenterol Surg. 2021;5:427–35. https://doi.org/10.1002/ags3.12437.
Article PubMed PubMed Central Google Scholar
van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. Radiomics in medical imaging “how-to” guide and critical reflection. Insights Imaging. 2020;11:91. https://doi.org/10.1186/s13244-020-00887-2.
Article PubMed PubMed Central Google Scholar
Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, et al. Introduction to radiomics. J Nucl Med. 2020;61:488–95. https://doi.org/10.2967/jnumed.118.222893.
Article CAS PubMed PubMed Central Google Scholar
Wu L, Lou X, Kong N, Xu M, Gao C. Can quantitative peritumoral CT radiomics features predict the prognosis of patients with non-small cell lung cancer? Syst Rev Eur Radiol. 2023;33:2105–17. https://doi.org/10.1007/s00330-022-09174-8.
Mukherjee S, Patra A, Khasawneh H, Korfiatis P, Rajamohan N, Suman G, et al. Radiomics-based machine learning models can detect pancreatic cancer on prediagnostic CTs at a substantial lead time prior to clinical diagnosis. Gastroenterology. 2022;163:1435-1446.e3. https://doi.org/10.1053/j.gastro.2022.06.066.
van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, et al. Computational radiomics system to decode the radiographic phenotype. Cancer Res. 2017;77:e104–7. https://doi.org/10.1158/0008-5472.CAN-17-0339.
Article CAS PubMed PubMed Central Google Scholar
Pedregosa F, Varoquaux G, Gramfort A, et al. Scikit-learn: machine learning in python. J Mach Learn Res. 2011;12:2825–30.
McGhee-Jez AE, Chervoneva I, Yi M, Ahuja A, Nahar R, Shah S, et al. Nonalcoholic fatty liver disease after pancreaticoduodenectomy for a cancer diagnosis. J Pancreat Cancer. 2021;7:23–30. https://doi.org/10.1089/pancan.2020.0006.
Article PubMed PubMed Central Google Scholar
Tanaka N, Horiuchi A, Yokoyama T, Kaneko G, Horigome N, Yamaura T, et al. Clinical characteristics of de novo nonalcoholic fatty liver disease following pancreaticoduodenectomy. J Gastroenterol. 2011;46:758–68. https://doi.org/10.1007/s00535-011-0370-5.
Article CAS PubMed Google Scholar
Takemura N, Saiura A, Koga R, Yamamoto J, Yamaguchi T. Risk factors for and management of postpancreatectomy hepatic steatosis. Scand J Surg. 2017;106:224–9. https://doi.org/10.1177/1457496916669630.
Article CAS PubMed Google Scholar
Maehira H, Iida H, Maekawa T, Yasukawa D, Mori H, Takebayashi K, et al. Estimated functional remnant pancreatic volume predicts nonalcoholic fatty liver disease after pancreaticoduodenectomy: use of computed tomography attenuation value of the pancreas. HPB (Oxford). 2021;23:802–11. https://doi.org/10.1016/j.hpb.2020.09.019.
Ohgi K, Okamura Y, Yamamoto Y, Ashida R, Ito T, Sugiura T, et al. Perioperative computed tomography assessments of the pancreas predict nonalcoholic fatty liver disease after pancreaticoduodenectomy. Medicine. 2016;95: e2535. https://doi.org/10.1097/MD.0000000000002535.
Article CAS PubMed PubMed Central Google Scholar
Kato H, Kamei K, Suto H, Misawa T, Unno M, Nitta H, et al. Incidence and risk factors of nonalcoholic fatty liver disease after total pancreatectomy: a first multicenter prospective study in Japan. J Hepato-Bil Pancreat Sci. 2022;29:428–38. https://doi.org/10.1002/jhbp.1093.
Jeon D, Park BH, Lee HC, Park Y, Lee W, Lee JH, et al. The impact of pylorus preservation on the development of nonalcoholic fatty liver disease after pancreaticoduodenectomy: a historical cohort study. J Hepato-Bil Pancreat Sci. 2022;29:863–73. https://doi.org/10.1002/jhbp.1150.
Luu C, Thapa R, Rose T, Woo K, Jeong D, Thomas K, et al. Identification of nonalcoholic fatty liver disease following pancreatectomy for noninvasive intraductal papillary mucinous neoplasm. Int J Surg. 2018;58:46–9. https://doi.org/10.1016/j.ijsu.2018.09.002.
Article PubMed PubMed Central Google Scholar
Robin X, Turck N, Hainard A, et al. Proc an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics. 2011;12:1–8.
Traverso A, Wee L, Dekker A, Gillies R. Repeatability and reproducibility of radiomic features: a systematic review. Int J Radiat Oncol Biol Phys. 2018;102:1143–58. https://doi.org/10.1016/j.ijrobp.2018.05.053.
Article PubMed PubMed Central Google Scholar
Kim YJ, Lee HJ, Kim KG, Lee SH. The effect of CT scan parameters on the measurement of CT radiomic features: a lung nodule phantom study. Comput Math Methods Med. 2019;2019:8790694. https://doi.org/10.1155/2019/8790694.
Article PubMed PubMed Central Google Scholar
Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48:441–6. https://doi.org/10.1016/j.ejca.2011.11.036.
留言 (0)