Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status.

Korfiatis, Panagiotis; Kline, Timothy L; Lachance, Daniel H; Parney, Ian F; Buckner, Jan C; Erickson, Bradley J

Korfiatis, Panagiotis; Kline, Timothy L; Lachance, Daniel H; Parney, Ian F; Buckner, Jan C; Erickson, Bradley J.

Affiliation

Korfiatis P; Department of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA.
Kline TL; Department of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA.
Lachance DH; Department of Neurology, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA.
Parney IF; Department of Neurologic Surgery, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA.
Buckner JC; Department of Medical Oncology, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA.
Erickson BJ; Department of Radiology, Mayo Clinic, 200 1st Street SW, Rochester, MN, 55905, USA. bje@mayo.edu.

J Digit Imaging ; 30(5): 622-628, 2017 Oct.

Article in En | MEDLINE | ID: mdl-28785873

Subject(s)

DNA Modification Methylases/genetics; DNA Modification Methylases/metabolism; DNA Repair Enzymes/genetics; DNA Repair Enzymes/metabolism; Magnetic Resonance Imaging/methods; Nerve Net/diagnostic imaging; Tumor Suppressor Proteins/genetics; Tumor Suppressor Proteins/metabolism; Humans; Methylation

Key words

Deep learning; MGMT methylation; MRI

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / DNA Modification Methylases / Tumor Suppressor Proteins / DNA Repair Enzymes / Nerve Net Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Digit Imaging Journal subject: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Year: 2017 Type: Article Affiliation country: United States

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