Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis

Background Methods to improve stratification of small (≤15 mm) lung nodules are needed. We aimed to develop a radiomics model to assist lung cancer diagnosis. Methods Patients were retrospectively identified using health records from January 2007 to December 2018. The external test set was obtained...

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Veröffentlicht in:	British journal of cancer 2023-12, Vol.129 (12), p.1949-1955
Hauptverfasser:	Hunter, Benjamin, Argyros, Christos, Inglese, Marianna, Linton-Reid, Kristofer, Pulzato, Ilaria, Nicholson, Andrew G., Kemp, Samuel V., L. Shah, Pallav, Molyneaux, Philip L., McNamara, Cillian, Burn, Toby, Guilhem, Emily, Mestas Nuñez, Marcos, Hine, Julia, Choraria, Anika, Ratnakumar, Prashanthi, Bloch, Susannah, Jordan, Simon, Padley, Simon, Ridge, Carole A., Robinson, Graham, Robbie, Hasti, Barnett, Joseph, Silva, Mario, Desai, Sujal, Lee, Richard W., Aboagye, Eric O., Devaraj, Anand
Format:	Artikel
Sprache:	eng
Schlagworte:	692/308/575 692/4028/67/1612/1350 Biomedical and Life Sciences Biomedicine Cancer Research Cancer screening Diagnosis Drug Resistance Early Detection of Cancer Epidemiology Humans Lung Lung cancer Lung Neoplasms - diagnostic imaging Lung nodules Malignancy Medical diagnosis Medical screening Molecular Medicine Oncology Prospective Studies Radiologists Radiomics Retrospective Studies Risk groups Thorax
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