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Keywords:
CNS, MR, PACS, Computer Applications-General, Acute
Authors:
H. Hattori, A. Shinpei, I. Yoshitaka, H. Toyama; Toyoake/JP
DOI:
10.1594/ecr2016/C-1280
Methods and materials
10 doctors of radiologists,
brain surgeones and the neurologists independently assessed brain MRI on a gray-scale standard display function LCD medical high-definition monitor (LCD monitor) and an iPad air in random order over 2-month intervals. LCD monitor,
and at the iPad air,
and to the interpretation the same image,
comparison.
Observation environment
- Ambient illumination was set to 80-100 lux.
Monitor and indication viewer
- We prepared medical LCD monitor and iPad air(table 1).
Case Selection
- We amassed 100 sample sets,
from 50 patients with proven acute cerebral infarction and 50 other control subjects (adopt 98 sample sets).
- Sample sets contained T2WI,
DWI and ADC image.
- Each sample was scaned at our Emergency room from 2012/3/1 to 2013/9/23.
- There patients were walk-ins.
Most cases were scaned with in 6 hours from the symptom onset to doubt acute cerebral infarction,
and other cases were the cases that onset time was unidentified.
The average waiting time for an MRI was 3 hours 32 minutes(s.d.= 1 hours 20 minutes ,
Median= 3 hours 20 minutes).
Observers
- 4 radiologists,
3 brain surgeones and 3 neurologists were join to this study.
- There experience average is 16.5 years(s.d.=7.9,
Median=14).
- They were Sketch of lesions and answerd the presence or absence of lesions in the confidence scale.
Data Analysis
- Receiver operating characteristic (ROC) analysis was performed by using the continuous scale,
and the area under the ROC curve (A(z)) was calculated for each monitor.
- McNemar's test was performed to LCD monitor vs iPad air about sensitivity and specificity.
- All statistical analyses were performed with EZR (Saitama Medical Center,
Jichi Medical University),
which is a graphical user interface for R (The R Foundation for Statistical Computing,
version 2.13.0)[11].