Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
Lost J, Verma T, Jekel L, von Reppert M, Tillmanns N, Merkaj S, Petersen G, Bahar R, Gordem A, Haider M, Subramanian H, Brim W, Ikuta I, Omuro A, Conte G, Marquez-Nostra B, Avesta A, Bousabarah K, Nabavizadeh A, Kazerooni A, Aneja S, Bakas S, Lin M, Sabel M, Aboian M. Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction. American Journal Of Neuroradiology 2023, 44: 1126-1134. PMID: 37770204, PMCID: PMC10549943, DOI: 10.3174/ajnr.a8000.Peer-Reviewed Original ResearchAAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*
Supanich M, Siewerdsen J, Fahrig R, Farahani K, Gang G, Helm P, Jans J, Jones K, Koenig T, Kuhls-Gilcrist A, Lin M, Riddell C, Ritschl L, Schafer S, Schueler B, Silver M, Timmer J, Trousset Y, Zhang J. AAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*. Medical Physics 2023, 50: e904-e945. PMID: 36710257, DOI: 10.1002/mp.16245.Peer-Reviewed Original ResearchConceptsImage qualityGeometric calibrationSystem calibrationPhantom imagesService callsC-arm systemImage reconstructionVolumetric imaging capabilityImage acquisitionGeometric alignmentImage-guided radiation therapyData setsTesting approachCBCT systemC-arm cone beamC-armReconstruction characteristicsImage artifactsValuable dataC-arm CBCT systemImagesIGRT systemTask groupDifferent systemsCT image quality