Noninvasive Ventilation in Immunosuppressed Patients, a Bad Idea? Really?

Autor: Scrivener M; Both authors: Critical Care Department, Cliniques Universitaires St Luc, Brussels, Belgium., Wittebole X

Publikováno v: Critical care medicine [Crit Care Med] 2024 Nov 01; Vol. 52 (11), pp. 1806-1809. Date of Electronic Publication: 2024 Oct 15.

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Development and validation of a computed tomography-based immune ecosystem diversity index as an imaging biomarker in non-small cell lung cancer.

Autor: He L; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China., Li ZH; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.; Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China., Yan LX; Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China., Chen X; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, China., Sanduleanu S; The D-lab and the M-lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands., Zhong WZ; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China., Lambin P; The D-lab and the M-lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands., Ye ZX; Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China., Sun YS; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department Radiology, Peking University Cancer Hospital & Institute, Hai Dian District, Beijing, China., Liu YL; Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China., Qu JR; Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China., Wu L; Department of Pathology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China., Tu CL; Department of Cadres Medical Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China., Scrivener M; Department of Internal Medicine, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels, Belgium., Pieters T; Departement of Pneumology, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels, Belgium., Coche E; Department of Radiology, Cliniques Universitaires St-Luc, Université Catholique de Louvain, Brussels, Belgium., Yang Q; Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China., Yang M; Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China., Liang CH; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China., Huang YQ; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China. yikiann@126.com.; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China. yikiann@126.com., Liu ZY; Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, China. zyliu@163.com.; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China. zyliu@163.com.

Publikováno v: European radiology [Eur Radiol] 2022 Dec; Vol. 32 (12), pp. 8726-8736. Date of Electronic Publication: 2022 May 31.

Automated detection and segmentation of non-small cell lung cancer computed tomography images.

Autor: Primakov SP; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Ibrahim A; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands.; Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, Hospital Center Universitaire De Liege, Liege, Belgium.; Department of Nuclear Medicine and Comprehensive diagnostic center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany.; Department of Radiology, Columbia University Irving Medical Center, New York, USA., van Timmeren JE; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; Department of Radiation Oncology, University Hospital Zürich and University of Zürich, Zürich, Switzerland., Wu G; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China., Keek SA; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Beuque M; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Granzier RWY; Department of Surgery, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Lavrova E; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; GIGA Cyclotron Research Centre In Vivo Imaging, University of Liège, Liège, Belgium., Scrivener M; Department of Radiation Oncology, Cliniques universitaires St-Luc, Brussels, Belgium., Sanduleanu S; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Kayan E; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Halilaj I; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Lenaers A; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; Department of Surgery, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Wu J; Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China., Monshouwer R; Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands., Geets X; Department of Radiation Oncology, Cliniques universitaires St-Luc, Brussels, Belgium., Gietema HA; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Hendriks LEL; Department of Pulmonary Diseases, GROW - School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, the Netherlands., Morin O; Department of Radiation Oncology, University of California San Francisco, San Francisco, California, CA, USA., Jochems A; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands., Woodruff HC; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands., Lambin P; The D-Lab, Department of Precision Medicine, GROW- School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands. philippe.lambin@maastrichtuniversity.nl.; Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands. philippe.lambin@maastrichtuniversity.nl.

Publikováno v: Nature communications [Nat Commun] 2022 Jun 14; Vol. 13 (1), pp. 3423. Date of Electronic Publication: 2022 Jun 14.

An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning.

Autor: Bhatia, Isha¹ (AUTHOR) ishabhatia91@gmail.com, Aarti¹ (AUTHOR) aarti.1208@gmail.com, Ansarullah, Syed Immamul² (AUTHOR) syedansr@gmail.com, Amin, Farhan³ (AUTHOR) farhanamin10@hotmail.com, Alabrah, Amerah⁴ (AUTHOR) farhanamin10@hotmail.com

Publikováno v: Diagnostics (2075-4418). Jul2024, Vol. 14 Issue 13, p1378. 22p.