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Editorial: Role of imaging in biliary tract cancer: diagnosis, staging, response prediction and image-guided therapeutics.

作者信息

Gupta Pankaj, Kambadakone Avinash, Sirohi Bhawna

机构信息

Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

出版信息

Front Oncol. 2024 Mar 19;14:1387531. doi: 10.3389/fonc.2024.1387531. eCollection 2024.

DOI:10.3389/fonc.2024.1387531
PMID:38567157
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10985351/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f224/10985351/d916e6971818/fonc-14-1387531-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f224/10985351/d916e6971818/fonc-14-1387531-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f224/10985351/d916e6971818/fonc-14-1387531-g001.jpg

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本文引用的文献

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Lancet Reg Health Southeast Asia. 2023 Sep 11;24:100279. doi: 10.1016/j.lansea.2023.100279. eCollection 2024 May.
2
Proposal for a new morphological "combined type" of gallbladder cancer: description of radiopathological characteristics and comparison with other morphological types.一种新的胆囊癌形态“混合型”的建议：影像学-病理学特征描述及与其他形态类型的比较。
Abdom Radiol (NY). 2024 Mar;49(3):703-709. doi: 10.1007/s00261-023-04090-x. Epub 2023 Nov 16.
3
Noninvasive prediction of perineural invasion in intrahepatic cholangiocarcinoma by clinicoradiological features and computed tomography radiomics based on interpretable machine learning: a multicenter cohort study.
基于可解释机器学习的临床影像学特征和 CT 放射组学对肝内胆管癌神经周围侵犯的无创预测：一项多中心队列研究。
Int J Surg. 2024 Feb 1;110(2):1039-1051. doi: 10.1097/JS9.0000000000000881.
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Machine learning radiomics to predict the early recurrence of intrahepatic cholangiocarcinoma after curative resection: A multicentre cohort study.机器学习放射组学预测根治性切除术后肝内胆管癌的早期复发：多中心队列研究。
Eur J Nucl Med Mol Imaging. 2023 Jul;50(8):2501-2513. doi: 10.1007/s00259-023-06184-6. Epub 2023 Mar 16.
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