Prediction model for patient prognosis in idiopathic pulmonary fibrosis using hybrid radiomics analysis

Prediction model for patient prognosis in idiopathic pulmonary fibrosis using hybrid radiomics analysis

Objectives: To develop an imaging prognostic model for idiopathic pulmonary fibrosis (IPF) patients using hybrid auto-segmentation radiomics analysis, and compare the predictive ability between the radiomics analysis and conventional visual score methods. Methods: Data from 72 IPF patients who had u...

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Bibliographic Details
Main Authors: Daisuke Kawahara, Takeshi Masuda, Riku Nishioka, Masashi Namba, Nobuki Imano, Kakuhiro Yamaguchi, Shinjiro Sakamoto, Yasushi Horimasu, Shintaro Miyamoto, Taku Nakashima, Hiroshi Iwamoto, Shinichiro Ohshimo, Kazunori Fujitaka, Hironobu Hamada, Noboru Hattori, Yasushi Nagata
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
IPF
Radiomics
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652522000175

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http://www.sciencedirect.com/science/article/pii/S2772652522000175

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