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Editorial
. 2022 Jun;303(3):673-674.
doi: 10.1148/radiol.213015. Epub 2022 Mar 1.

Radiomics-based Cluster Groups to Predict Clinical-Pathologic and Genomic Characteristics of Stage I Lung Adenocarcinoma

Affiliations
Editorial

Radiomics-based Cluster Groups to Predict Clinical-Pathologic and Genomic Characteristics of Stage I Lung Adenocarcinoma

Mizuki Nishino. Radiology. 2022 Jun.
No abstract available

PubMed Disclaimer

Conflict of interest statement

Disclosures of Conflicts of Interest: institutional research grants from AstraZeneca, Daiichi Sankyo, and Canon Medical Systems; consulting fee from AstraZeneca and Daiichi Sankyo; Diagnosis Please editor for the Radiology editorial board.

Figures

Mizuki Nishino, MD, MPH, is a professor of radiology at Harvard Medical
School and a thoracic radiologist at Brigham and Women’s Hospital and
Dana-Farber Cancer Institute. Her research focuses on imaging of lung cancer for
precision oncology. She is a member of the Fleischner Society, serves as a
Diagnosis Please editor for the Radiology editorial board, and is a member for
the NIH Emerging Imaging Technologies and Applications study section.
Mizuki Nishino, MD, MPH, is a professor of radiology at Harvard Medical School and a thoracic radiologist at Brigham and Women’s Hospital and Dana-Farber Cancer Institute. Her research focuses on imaging of lung cancer for precision oncology. She is a member of the Fleischner Society, serves as a Diagnosis Please editor for the Radiology editorial board, and is a member for the NIH Emerging Imaging Technologies and Applications study section.

Comment on

References

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