Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.
Bharat NandakumarFrancis BaffourNadine H AbdallahShaji K KumarAngela DispenzieriFrancis K BuadiDavid DingliMartha Q LacySuzanne R HaymanPrashant KapoorNelson LeungAmie FonderMiriam HobbsYi Lisa HwaEli MuchtarRahma WarsameTaxiarchis V KourelisRonald S GoRobert A KyleMorie A GertzS Vincent RajkumarJason KlugPanagiotis KorfiatisWilson I GonsalvesPublished in: Cancer (2022)
Sarcopenia identified by a machine learning-based convolutional neural network algorithm significantly affects OS in patients with NDMM. Future studies using this machine learning-based methodology of assessing sarcopenia in larger prospective clinical trials are required to validate these findings.
Keyphrases
- deep learning
- convolutional neural network
- machine learning
- artificial intelligence
- newly diagnosed
- skeletal muscle
- computed tomography
- clinical trial
- multiple myeloma
- community dwelling
- big data
- magnetic resonance imaging
- positron emission tomography
- current status
- randomized controlled trial
- photodynamic therapy
- contrast enhanced
- double blind
- phase iii