LIONS PREY: A New Logistic Scoring System for the Prediction of Malignant Pulmonary Nodules
LIONS PREY: A New Logistic Scoring System for the Prediction of Malignant Pulmonary Nodules
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Author / Creator
Doerr, Fabian , Giese, Annika , Höpker, Katja , Menghesha, Hruy , Schlachtenberger, Georg , Grapatsas, Konstantinos , Baldes, Natalie , Baldus, Christian J , Hagmeyer, Lars , Fallouh, Hazem , Pinto Dos Santos, Daniel , Bender, Edward M , Quaas, Alexander , Heldwein, Matthias , Wahlers, Thorsten , Hautzel, Hubertus , Darwiche, Kaid , Taube, Christian , Schuler, Martin , Hekmat, Khosro and Bölükbas, Servet
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Classifying radiologic pulmonary lesions as malignant is challenging. Scoring systems like the Mayo model lack precision in predicting the probability of malignancy. We developed the logistic scoring system 'LIONS PREY' (Lung lesION Score PREdicts malignancY), which is superior to existing models in its precision in determining the likelihood of ma...
Alternative Titles
Full title
LIONS PREY: A New Logistic Scoring System for the Prediction of Malignant Pulmonary Nodules
Authors, Artists and Contributors
Author / Creator
Giese, Annika
Höpker, Katja
Menghesha, Hruy
Schlachtenberger, Georg
Grapatsas, Konstantinos
Baldes, Natalie
Baldus, Christian J
Hagmeyer, Lars
Fallouh, Hazem
Pinto Dos Santos, Daniel
Bender, Edward M
Quaas, Alexander
Heldwein, Matthias
Wahlers, Thorsten
Hautzel, Hubertus
Darwiche, Kaid
Taube, Christian
Schuler, Martin
Hekmat, Khosro
Bölükbas, Servet
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Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2932434922
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2932434922
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers16040729
