Improving accuracy of myasthenia gravis autoantibody testing by reflex algorithm.
Shahar ShellyPritikanta PaulHongyan BiDivyanshu DubeyMargherita MiloneEric J SorensonBrian A CrumRuple S LaughlinTeerin LiewluckJay MandrekarSean J PittockAnastasia ZekeridouAndrew McKeonMichael C HarperJohn R MillsChristopher J KleinPublished in: Neurology (2020)
Accuracy of MG serologic testing is improved by reflexing AChR-Bi-positive cases to AChR-Mo. STR and other reflexed cancer evaluation autoantibodies did not provide value beyond standard CT chest imaging at the time of MG diagnosis. Diagnostic certainty is informed by AChR-Bi and AChR-Mo with higher values increasing specificity.
Keyphrases
- myasthenia gravis
- high resolution
- papillary thyroid
- computed tomography
- machine learning
- systemic lupus erythematosus
- deep learning
- image quality
- magnetic resonance imaging
- squamous cell
- squamous cell carcinoma
- dual energy
- contrast enhanced
- young adults
- magnetic resonance
- positron emission tomography
- respiratory syndrome coronavirus
- fluorescence imaging