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深度学习在胰腺癌中的应用

Deep Learning Applications in Pancreatic Cancer.

作者信息

Patel Hardik, Zanos Theodoros, Hewitt D Brock

机构信息

Northwell Health-The Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA.

Department of Surgery, NYU Grossman School of Medicine, New York, NY 10016, USA.

出版信息

Cancers (Basel). 2024 Jan 19;16(2):436. doi: 10.3390/cancers16020436.

DOI:10.3390/cancers16020436
PMID:38275877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10814475/
Abstract

Pancreatic cancer is one of the most lethal gastrointestinal malignancies. Despite advances in cross-sectional imaging, chemotherapy, radiation therapy, and surgical techniques, the 5-year overall survival is only 12%. With the advent and rapid adoption of AI across all industries, we present a review of applications of DL in the care of patients diagnosed with PC. A review of different DL techniques with applications across diagnosis, management, and monitoring is presented across the different pathological subtypes of pancreatic cancer. This systematic review highlights AI as an emerging technology in the care of patients with pancreatic cancer.

摘要

胰腺癌是最致命的胃肠道恶性肿瘤之一。尽管在横断面成像、化疗、放射治疗和手术技术方面取得了进展，但5年总生存率仅为12%。随着人工智能在所有行业的出现和迅速应用，我们对深度学习在胰腺癌确诊患者护理中的应用进行了综述。本文针对胰腺癌不同的病理亚型，介绍了不同深度学习技术在诊断、管理和监测中的应用。这项系统综述强调了人工智能作为胰腺癌患者护理中的一项新兴技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/b56644562f71/cancers-16-00436-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/960a18899aaa/cancers-16-00436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/6ef82508a151/cancers-16-00436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/8978d44bc221/cancers-16-00436-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/b56644562f71/cancers-16-00436-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/960a18899aaa/cancers-16-00436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/6ef82508a151/cancers-16-00436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/8978d44bc221/cancers-16-00436-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d7a/10814475/b56644562f71/cancers-16-00436-g004.jpg

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本文引用的文献

1
Reliability of Medical Information Provided by ChatGPT: Assessment Against Clinical Guidelines and Patient Information Quality Instrument.ChatGPT 提供的医学信息的可靠性：与临床指南和患者信息质量工具的评估。
J Med Internet Res. 2023 Jun 30;25:e47479. doi: 10.2196/47479.
2
Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.Pacpaint：一种基于组织学的深度学习模型揭示了胰腺腺癌广泛的肿瘤内分子异质性。
Nat Commun. 2023 Jun 13;14(1):3459. doi: 10.1038/s41467-023-39026-y.
3
deepPERFECT: Novel Deep Learning CT Synthesis Method for Expeditious Pancreatic Cancer Radiotherapy.
基于腹部增强CT图像形状特征的主胰管扩张和胰腺实质萎缩的自动检测
J Med Imaging (Bellingham). 2025 Jan;12(1):014504. doi: 10.1117/1.JMI.12.1.014504. Epub 2025 Jan 31.
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Deep Multiple Instance Learning Model to Predict Outcome of Pancreatic Cancer Following Surgery.用于预测胰腺癌术后结果的深度多实例学习模型
Biomedicines. 2024 Dec 2;12(12):2754. doi: 10.3390/biomedicines12122754.
5
Automated CAD system for early detection and classification of pancreatic cancer using deep learning model.使用深度学习模型的胰腺癌早期检测与分类自动化计算机辅助诊断系统。
PLoS One. 2025 Jan 3;20(1):e0307900. doi: 10.1371/journal.pone.0307900. eCollection 2025.
6
Applications of artificial intelligence in digital pathology for gastric cancer.人工智能在胃癌数字病理学中的应用。
Front Oncol. 2024 Oct 28;14:1437252. doi: 10.3389/fonc.2024.1437252. eCollection 2024.
深度完美：用于快速胰腺癌放射治疗的新型深度学习CT合成方法。
Cancers (Basel). 2023 Jun 5;15(11):3061. doi: 10.3390/cancers15113061.
4
Pancreatic Cystic Lesions: Next Generation of Radiologic Assessment.胰腺囊性病变：影像学评估的新纪元。
Gastrointest Endosc Clin N Am. 2023 Jul;33(3):533-546. doi: 10.1016/j.giec.2023.03.004. Epub 2023 Apr 8.
5
A deep-learning radiomics-based lymph node metastasis predictive model for pancreatic cancer: a diagnostic study.深度学习影像组学预测胰腺癌淋巴结转移的模型：一项诊断研究。
Int J Surg. 2023 Aug 1;109(8):2196-2203. doi: 10.1097/JS9.0000000000000469.
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Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis.人工智能作为一种非侵入性的胰腺癌预测和诊断工具。
World J Gastroenterol. 2023 Mar 28;29(12):1811-1823. doi: 10.3748/wjg.v29.i12.1811.
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Prospective assessment of pancreatic ductal adenocarcinoma diagnosis from endoscopic ultrasonography images with the assistance of deep learning.利用深度学习技术对内镜超声图像进行前瞻性评估，以辅助诊断胰腺导管腺癌。
Cancer. 2023 Jul 15;129(14):2214-2223. doi: 10.1002/cncr.34772. Epub 2023 Mar 31.
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Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.基于人工智能的解决方案对胰腺和肝脏成像的临床影响。
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Machine-learning based investigation of prognostic indicators for oncological outcome of pancreatic ductal adenocarcinoma.基于机器学习对胰腺导管腺癌肿瘤学结局预后指标的研究。
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Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models.基于放射组学深度学习模型的胰腺囊性肿瘤分类预测。
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