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Deep Learning Analysis Using 18F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma.

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Title: Deep Learning Analysis Using 18F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma.
Authors: Ouyang ML; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zheng RX; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Wang YR; Department of Medical Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zuo ZY; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Gu LD; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Tian YQ; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Wei YG; Precision Health Institution, General Electric (GE) Healthcare, Hangzhou, China., Huang XY; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Tang K; Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Wang LX; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Source: Frontiers in oncology [Front Oncol] 2022 Jul 07; Vol. 12, pp. 915871. Date of Electronic Publication: 2022 Jul 07 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
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  Data: Deep Learning Analysis Using <superscript>18</superscript>F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma.
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  Data: <searchLink fieldCode="AU" term="%22Ouyang+ML%22">Ouyang ML</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zheng+RX%22">Zheng RX</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+YR%22">Wang YR</searchLink>; Department of Medical Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zuo+ZY%22">Zuo ZY</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Gu+LD%22">Gu LD</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Tian+YQ%22">Tian YQ</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Wei+YG%22">Wei YG</searchLink>; Precision Health Institution, General Electric (GE) Healthcare, Hangzhou, China.<br /><searchLink fieldCode="AU" term="%22Huang+XY%22">Huang XY</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Tang+K%22">Tang K</searchLink>; Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Wang+LX%22">Wang LX</searchLink>; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
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  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2022 Jul 07; Vol. 12, pp. 915871. <i>Date of Electronic Publication: </i>2022 Jul 07 (<i>Print Publication: </i>2022).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fonc.2022.915871
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        Text: English
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      – TitleFull: Deep Learning Analysis Using 18F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma.
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            – D: 07
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              Text: 2022 Jul 07
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