A Radiomics Approach on Chest CT Distinguishes Primary Lung Cancer from Solitary Lung Metastasis in Colorectal Cancer Patients.
Jong Eun LeeLuu Ngoc DoWon Gi JeongHyo Jae LeeKum Ju ChaeYun Hyeon KimIlwoo ParkPublished in: Journal of personalized medicine (2022)
Our results suggested that the machine learning classifiers trained using radiomics features of SPN in CRC patients can be used to distinguish the primary LC and the solitary LM with a similar level of performance to radiologists.
Keyphrases
- machine learning
- end stage renal disease
- contrast enhanced
- chronic kidney disease
- artificial intelligence
- ejection fraction
- lymph node metastasis
- computed tomography
- peritoneal dialysis
- prognostic factors
- magnetic resonance imaging
- mass spectrometry
- magnetic resonance
- big data
- patient reported outcomes
- deep learning
- simultaneous determination
- image quality
- body composition
- liquid chromatography
- tandem mass spectrometry