Gradient echo MRI: implementation of a training tutorial for intracranial hemorrhage diagnosis.
BACKGROUND
Recent studies have demonstrated that gradient echo (GRE) MRI sequences are as accurate as CT for the detection of intracerebral hemorrhage (ICH) in the context of acute stroke. However, many physicians who currently read acute stroke imaging studies may be unfamiliar with interpretation of GRE images.


METHODS
An NIH Web-based training program was developed including a pretest, tutorial, and posttest. Physicians involved in the care of acute stroke patients were encouraged to participate. The tutorial covered acute, chronic, and mimic hemorrhages as they appear on CT, diffusion-weighted imaging, and GRE sequences. Ability of users to identify ICH presence, type, and age on GRE was compared from the pretest to posttest timepoint.


RESULTS
A total of 104 users completed the tutorial. Specialties represented included general radiology (42%), general neurology (16%), neuroradiology (15%), stroke neurology (14%), emergency medicine (1%), and other (12%). Median overall score improved pretest to posttest from 66.7% to 83.3%, p < 0.001. Improvement by category was as follows: acute ICH, 66.7%-100%, p < 0.001; chronic ICH, 33.3%-66.7%, p < 0.001; ICH negatives/mimics, 100%-100%, p = 0.787. Sensitivity for identification of acute hemorrhage improved from 68.2% to 96.4%.


CONCLUSIONS
Physicians involved in acute stroke care achieved significant improvement in gradient echo (GRE) hemorrhage interpretation after completing the NIH GRE MRI tutorial. This indicates that a Web-based tutorial may be a viable option for the widespread education of physicians to achieve an acceptable level of diagnostic accuracy at reading GRE MRI, thus enabling confident acute stroke treatment decisions.
Department of Neurology, Georgetown University, Washington, DC, USA.
B R
BR
Copenhaver
J
J
Shin
S
S
Warach
J A
JA
Butman
J L
JL
Saver
C S
CS
Kidwell
D000328:Adult; D001921:Brain / Q000098:blood supply / Q000473:pathology / Q000503:physiopathology; D003194:Computer-Assisted Instruction / Q000379:methods*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods; D004501:Education, Medical / Q000379:methods* / Q000639:trends; D005260:Female; D006801:Humans; D020407:Internet / Q000639:trends; D007396:Internship and Residency / Q000379:methods; D020300:Intracranial Hemorrhages / Q000175:diagnosis* / Q000209:etiology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008505:Medical Staff, Hospital / Q000193:education; D008875:Middle Aged; D009316:National Institutes of Health (U.S.); D009462:Neurology / Q000193:education; D011237:Predictive Value of Tests; D011871:Radiology / Q000193:education; D020521:Stroke / Q000150:complications / Q000175:diagnosis*; D014057:Tomography, X-Ray Computed / Q000379:methods; D014481:United States