Purpose |
The purpose of this proposal is to automatically detect acute infarcts on diffusion-weighted images (DWI) on brain MRI. Another goal is to simplify the language while reporting the lesions with diffusion restriction. |
Tag(s) |
|
Panel |
Neuroradiology Panel |
Define-AI ID |
19020008 |
Originator |
Achint Singh |
Lead | Achint Singh |
Panel Chair |
Alexander Norbash |
Panel Reviewers |
Neuroradiology Panel |
License |
Creative Commons 4.0 |
Status | Public Commenting |
RadElement Set | RDES97 |
Diffusion refers to the random microscopic movement of the water molecules in the tissues. DWI provides a quantitative measure of this molecular motion in three dimensional space. DWI is the most sensitive MR imaging sequence for the detection of acute infarct. Diffusion restriction is defined as increased signal on the diffusion weighted images and low signal on the ADC images. Diffusion restriction is usually seen in hyperacute infarct within the first 3 hours however, can be seen as early as 11 minutes. Low signal is usually seen on the ADC map up to 7-10 days after which the signal starts to increase, which is known as pseudonormalization.
Diffusion restriction can also be seen in other conditions such as
Abscess
CJD
Herpes or other encephalitis
Lymphoma
GBM
Epidermoid cyst
DAI
Hemorrhage
Seizures
Drug toxicity
A 30-year-old male comes with non-specific symptoms of left arm weakness, possible seizures, and altered mental state. CT head is negative for hemorrhage. CTA did not show large vessel occlusion. tPA was not given due to non-specificity of symptoms and a fast MRI was obtained which shows an acute infarct. Automatic detection of this infarct could be helpful in this patient for timely tPA administration.
The patient receives a CT scan for suspected signs of stroke. If there is no hemorrhage on the CT then the patient receives a stroke protocol MRI with DWI images along with an ADC map. The algorithm receives the MR dataset. The algorithm tries to determine if there is true diffusion restriction based on the signal on DWI and ADC images. If diffusion restriction is present, then an alert should notify the user.
The algorithm also tries to characterize the abnormality as described below in the output section. The algorithm is integrated with the dictation system to automatically populate the results. The representative image is also saved on the PACS system.
Procedures |
MR brain (axial DWI and ADC) |
Sex at Birth |
Male and Female |
Age |
All Ages |
DWI |
Hyperintense signal in comparison to the adjacent gray matter (True and False) |
ADC |
low signal in comparison to the adjacent region (True or False) |
DICOM Study
Procedure |
MR, Head |
Views |
Axial |
Data Type |
DICOM |
Modality |
MR |
Body Region |
Head |
Anatomic Focus |
Brain |
Scenario |
axial DWI and ADC |
Diffusion Restriction
RadElement ID |
RDE591 |
Definition |
Determine if high signal on DWI is true diffusion restriction or T2 shine through by analyzing ADC signal |
Data Type |
Categorical |
Value Set |
|
Units |
N/A |
Shape of Area with Diffusion Restriction
RadElement ID |
RDE592 |
Definition |
Categorize the shape of the area with diffusion restriction |
Data Type |
Categorical |
Value Set |
|
Units |
N/A |
Distribution of Diffusion Restriction
RadElement ID |
RDE593 |
Definition |
Categorize the distribution of the diffusion restriction in the lesion |
Data Type |
Categorical |
Value Set |
|
Units |
N/A |
Count of lesions with diffusion restriction
RadElement ID |
RDE589 |
Definition |
Count the number of lesion(s) with diffusion restriction |
Data Type |
Numeric |
Value Set |
N/A |
Units |
Number of lesions |
Lesion location with diffusion restriction
RadElement ID |
RDE597 |
Definition |
Location of the lesion(s) with diffusion restriction |
Data Type |
Categorical |
Value Set |
0 - Frontal 1 - Parietal 2 - Occipital 3 - Temporal 4 - Deep gray Nuclei (Basal Ganglia/Thalami) 5 - White matter 5A: Periventricular WM 5B: Deep WM 5C: Subcortical WM 5D: Corticospinal tract 5E: Cerebellar Peduncles 6 - Brainstem 6A: Midbrain 6B: Pons 6C: Medulla 7 - Cerebellum |
Units |
N/A |
Laterality of lesion
RadElement ID |
RDE598 |
Definition |
Define the side of the lesion |
Data Type |
Categorical |
Value Set |
|
Units |
N/A |
2D Lesion Size
RadElement ID |
RDE587 |
Definition |
Size of the lesion in two dimensions |
Data Type |
Numeric |
Value Set |
N/A |
Units |
mm2 |
Lesion Volume
RadElement ID |
RDE588 |
Definition |
Volume of the lesion |
Data Type |
Numeric |
Value Set |
N/A |
Units |
mm3 |
Signal Characteristics
RadElement ID |
RDE594 |
Definition |
Signal characteristics of the lesion |
Data Type |
Categorical |
Value Set |
|
Units |
N/A |