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A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [18F]FDG-PET/CT parameters.
Rogasch, Julian M M; Michaels, Liza; Baumgärtner, Georg L; Frost, Nikolaj; Rückert, Jens-Carsten; Neudecker, Jens; Ochsenreither, Sebastian; Gerhold, Manuela; Schmidt, Bernd; Schneider, Paul; Amthauer, Holger; Furth, Christian; Penzkofer, Tobias.
Afiliación
  • Rogasch JMM; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. julian.rogasch@charite.de.
  • Michaels L; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany. julian.rogasch@charite.de.
  • Baumgärtner GL; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
  • Frost N; Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Rückert JC; Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Neudecker J; Department of Infectious Diseases and Pulmonary Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Ochsenreither S; Department of General, Visceral, Vascular and Thoracic Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Gerhold M; Department of General, Visceral, Vascular and Thoracic Surgery, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Schmidt B; Department of Hematology and Medical Oncology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Schneider P; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charité Comprehensive Cancer Center, Berlin, Germany.
  • Amthauer H; Institute of Pathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Berlin, Germany.
  • Furth C; Department of Internal Medicine - Pneumology and Sleep Medicine, DRK Kliniken Berlin Mitte, Berlin, Germany.
  • Penzkofer T; Department of Thoracic Surgery, DRK Kliniken Berlin Mitte, Berlin, Germany.
Eur J Nucl Med Mol Imaging ; 50(7): 2140-2151, 2023 06.
Article en En | MEDLINE | ID: mdl-36820890
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Pulmón de Células no Pequeñas / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Alemania