Artificial intelligence performance in detecting tumor metastasis from medical radiology imaging: A systematic review and meta-analysis

作者: Qiuhan Zheng , Le Yang , Bin Zeng , Jiahao Li , Kaixin Guo

DOI: 10.1016/J.ECLINM.2020.100669

关键词: MetastasisExternal validationMeta-analysisContingency tableArtificial intelligenceDeep learningRadiology/imagingTraining planMedicineMedical imaging

摘要: … were divided into LNM (45 studies) and DM (26 studies) (2 studies involved both LNM and DM), which included bone metastasis (13 studies), brain metastasis (3 studies), liver …

参考文章(113)
Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers, A variational framework for joint detection and segmentation of ovarian cancer metastases. medical image computing and computer-assisted intervention. ,vol. 16, pp. 83- 90 ,(2013) , 10.1007/978-3-642-40763-5_11
Mitsuru Koizumi, Noriaki Miyaji, Taisuke Murata, Kazuki Motegi, Kenta Miwa, Masamichi Koyama, Takashi Terauchi, Kei Wagatsuma, Kazunori Kawakami, Jens Richter, Evaluation of a revised version of computer-assisted diagnosis system, BONENAVI version 2.1.7, for bone scintigraphy in cancer patients Annals of Nuclear Medicine. ,vol. 29, pp. 659- 665 ,(2015) , 10.1007/S12149-015-0988-0
Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers, 2D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers. medical image computing and computer-assisted intervention. ,vol. 17, pp. 544- 552 ,(2014) , 10.1007/978-3-319-10404-1_68
Aneta Chmielewski, Paul Dufort, Anabel M. Scaranelo, A Computerized System to Assess Axillary Lymph Node Malignancy from Sonographic Images Ultrasound in Medicine & Biology. ,vol. 41, pp. 2690- 2699 ,(2015) , 10.1016/J.ULTRASMEDBIO.2015.05.022
Chao Li, Shuheng Zhang, Huan Zhang, Lifang Pang, Kinman Lam, Chun Hui, Su Zhang, None, Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer. Computational and Mathematical Methods in Medicine. ,vol. 2012, pp. 876545- 876545 ,(2012) , 10.1155/2012/876545
Hongmin Cai, Chunyan Cui, Haiying Tian, Min Zhang, Li Li, A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images Computational and Mathematical Methods in Medicine. ,vol. 2012, pp. 145926- 145926 ,(2012) , 10.1155/2012/145926
Zhi-Guo Zhou, Fang Liu, Li-Cheng Jiao, Zhi-Long Wang, Xiao-Peng Zhang, Xiao-Dong Wang, Xiao-Zhuo Luo, An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer BMC Medical Informatics and Decision Making. ,vol. 13, pp. 123- 123 ,(2013) , 10.1186/1472-6947-13-123
Junji Shiraishi, Katsutoshi Sugimoto, Fuminori Moriyasu, Naohisa Kamiyama, Kunio Doi, Computer‐aided diagnosis for the classification of focal liver lesions by use of contrast‐enhanced ultrasonography Medical Physics. ,vol. 35, pp. 1734- 1746 ,(2008) , 10.1118/1.2900109
Mitsuru Koizumi, Kei Wagatsuma, Noriaki Miyaji, Taisuke Murata, Kenta Miwa, Tomohiro Takiguchi, Tomoko Makino, Masamichi Koyama, Evaluation of a computer-assisted diagnosis system, BONENAVI version 2, for bone scintigraphy in cancer patients in a routine clinical setting. Annals of Nuclear Medicine. ,vol. 29, pp. 138- 148 ,(2015) , 10.1007/S12149-014-0921-Y
Neha Bhooshan, Maryellen L. Giger, Sanaz A. Jansen, Hui Li, Li Lan, Gillian M. Newstead, Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers Radiology. ,vol. 254, pp. 680- 690 ,(2010) , 10.1148/RADIOL.09090838