Artificial intelligence measuring the aortic diameter assist in identifying adverse blood pressure status including masked hypertension

Yaoling Wanga Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Lijuan Baia Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Jinrong Yangb Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Yichen Luc Digital Health, Siemens Healthineers Digital Technology(Shanghai)Co., Ltd, Shanghai, ChinaView further author information

Wenliang Fand Department of Software Engineering and Data Technology, School of Software & Microelectronics, Peking University, Beijing, China

https://orcid.org/0000-0001-8949-6775 View further author information

Zhuang Nieb Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Jie Yub Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Kai Wend Department of Software Engineering and Data Technology, School of Software & Microelectronics, Peking University, Beijing, ChinaView further author information

Ruiyun Wanga Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Linfeng Hea Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaView further author information

Fan Yangb Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaCorrespondence[email protected]
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Benling Qia Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaCorrespondence[email protected]

https://orcid.org/0000-0003-3149-5707 View further author information

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Jinrong Yang, Jie Yu, Yaoling Wang, Man Liao, Yingying Ji, Xiang Li, Xuechun Wang, Jun Chen, Benling Qi & Fan Yang. (2024) Development of hypertension models for lung cancer screening cohorts using clinical and thoracic aorta imaging factors. Scientific Reports 14:1.
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Norbert J Guettler. (2023) Why should ascending aorta dimension be measured and how should it be normalized in hypertensive patients?. European Journal of Preventive Cardiology 30:16, pages 1772-1773.
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Moira Hurstel, Laure Joly, Laetitia Imbert, Gaetan Zimmermann, Véronique Roch, Pauline Schoepfer, Zohra Lamiral, Paolo Salvi, Athanase Benetos, Antoine Verger & Pierre-Yves Marie. (2023) Volume of the proximal half of the thoracic aorta is the most comprehensive FDG-PET/CT indicator of arterial aging throughout adulthood. European Journal of Hybrid Imaging 7:1.
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Jinrong Yang, Xiang Li, Jie-Zhi Cheng, Zhong Xue, Feng Shi, Yuqing Ji, Xuechun Wang & Fan Yang. (2023) Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease. Computers in Biology and Medicine 160, pages 107002.
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J.H. Chamberlin, C. Smith, U.J. Schoepf, S. Nance, S. Elojeimy, J. O'Doherty, D. Baruah, J.R. Burt, A. Varga-Szemes & I.M. Kabakus. (2023) A deep convolutional neural network ensemble for composite identification of pulmonary nodules and incidental findings on routine PET/CT. Clinical Radiology 78:5, pages e368-e376.
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Hong MengLiang GuoBin KongWei ShuaiHe Huang. (2022) Nomogram based on clinical features at a single outpatient visit to predict masked hypertension and masked uncontrolled hypertension: A study of diagnostic accuracy. Medicine 101:49, pages e32144.
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Allison L. Kuipers, J. Jeffrey Carr, James G. Terry, Sangeeta Nair, Emma Barinas-Mitchell, Victor Wheeler, Joseph M. Zmuda & Iva Miljkovic. (2022) Aortic Area as an Indicator of Subclinical Cardiovascular Disease. The Open Cardiovascular Medicine Journal 16:1.
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Artificial intelligence measuring the aortic diameter assist in identifying adverse blood pressure status including masked hypertension

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Artificial intelligence measuring the aortic diameter assist in identifying adverse blood pressure status including masked hypertension

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