0B68 Flanders, Adam E. - Thomas Jefferson University - Thomas Jefferson University

Adam Flanders, MD

Contact Dr. Flanders

132 South 10th Street
Suite 1080B, Main Building
Philadelphia, PA 19107

(215) 955-2430
(215) 955-8741 fax

Most Recent Peer-reviewed Publications

  1. Can anatomic level of injury on MRI predict neurological level in acute cervical spinal cord injury?
  2. Severe human parechovirus type 3 myocarditis and encephalitis in an adolescent with hypogammaglobulinemia
  3. Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: Imaging predictors of overall and progression-free survival
  4. Common data elements for spinal cord injury clinical research: A National Institute for Neurological Disorders and Stroke project
  5. Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
  6. Saving the ischemic penumbra: Endovascular thrombolysis versus medical treatment
  7. Black as night
  8. Imaging genomic mapping of an invasive MRI phenotype predicts patient outcome and metabolic dysfunction: A TCGA glioma phenotype research group project
  9. Streamlining image quality assurance with the technique logger in the example case of radiograph scratch artifacts
  10. Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography
  11. Informatics leaders in radiology: Who they are and why you need them
  12. Morning glory disc anomaly with Chiari type I malformation.
  13. Outcome prediction in patients with glioblastoma by using imaging, clinical, and genomic biomarkers: Focus on the nonenhancing component of the tumor
  14. Arachnoiditis ossificans: Clinical series and review of the literature
  15. CT perfusion-guided versus time-guided mechanical recanalization in acute ischemic stroke patients
  16. Meaningful use for radiology: Current status and future directions
  17. Trainee report dashboard: Tool for enhancing feedback to radiology trainees about their reports
  18. QRSE: A novel metric for the evaluation of trainee radiologist reporting skills
  19. MR imaging predictors of molecular profile and survival: Multi-institutional study of the TCGA glioblastoma data set
  20. Comparison of four prediction models to discriminate benign from malignant vertebral compression fractures according to MRI feature analysis