Emergency Brain MRI: Recognizing PRES Before Permanent Neurological Injury
Introduction
When Minutes Determine Whether Brain Injury Is Reversible
A previously healthy 36-year-old woman suddenly developed a severe
headache while at work. Within a short period, she experienced blurred vision,
generalized tonic-clonic seizures, and progressive confusion. On arrival at the
emergency department, her blood pressure exceeded 220/120 mmHg.
The emergency physician immediately considered several neurological
emergencies, including acute ischemic stroke, intracranial hemorrhage, cerebral
venous thrombosis, encephalitis, and hypertensive encephalopathy.
A non-contrast brain CT was rapidly performed. Although no intracranial
hemorrhage was identified, subtle bilateral hypodense lesions were noted within
the parieto-occipital white matter. These findings prompted immediate MRI
evaluation.
Magnetic Resonance Imaging demonstrated symmetric vasogenic edema
involving both parieto-occipital lobes. Diffusion-weighted imaging revealed no
evidence of restricted diffusion, effectively excluding acute cerebral
infarction. The imaging findings, combined with the patient's clinical
presentation, confirmed the diagnosis of Posterior Reversible Encephalopathy
Syndrome (PRES).
Following aggressive blood pressure control and supportive treatment, the
patient's neurological symptoms gradually resolved. Follow-up MRI demonstrated
near-complete resolution of the cerebral edema, highlighting the reversible
nature of this syndrome when recognized early.
This clinical scenario emphasizes one of the most important principles in
emergency neuroradiology:
PRES is potentially reversible—but only if it is diagnosed promptly.
As emergency departments become increasingly overwhelmed with neuroimaging
studies, artificial intelligence (AI), deep learning algorithms, and Clinical
Decision Support Systems (CDSS) are emerging as valuable tools that may reduce
diagnostic delays and improve patient outcomes.
Why PRES Has Become Increasingly Important
Posterior Reversible Encephalopathy Syndrome is no longer considered a
rare neurological disorder. The widespread use of MRI has significantly
increased recognition of this syndrome over the past two decades.
Modern healthcare systems now encounter PRES in numerous clinical
settings, including:
- Hypertensive emergencies
- Preeclampsia and eclampsia
- Autoimmune diseases
- Chemotherapy-associated
neurotoxicity
- Organ transplantation
- Immunosuppressive therapy
- Sepsis
- Acute kidney injury
- Systemic inflammatory
disorders
Because the neurological symptoms are often nonspecific, imaging plays a decisive
role in establishing the diagnosis.
Failure to recognize PRES may result in:
- Permanent neurological
disability
- Intracranial hemorrhage
- Cerebral infarction
- Increased intensive care
admissions
- Higher mortality
Conversely, early diagnosis combined with prompt treatment frequently
leads to complete neurological recovery.
Clinical Background
Understanding Posterior Reversible Encephalopathy
Syndrome
Posterior Reversible Encephalopathy Syndrome is a clinicoradiological
disorder characterized by acute neurological dysfunction associated with
vasogenic cerebral edema.
Unlike ischemic stroke, which results from irreversible neuronal
infarction caused by vascular occlusion, PRES primarily reflects disruption of
the blood-brain barrier secondary to endothelial dysfunction and impaired
cerebral autoregulation.
The resulting extracellular accumulation of fluid produces vasogenic edema
that predominantly affects the posterior cerebral circulation.
This predilection for posterior brain regions is believed to reflect
relatively reduced sympathetic innervation within the vertebrobasilar
circulation, rendering these territories more vulnerable to abrupt increases in
blood pressure.
Pathophysiology
Current evidence suggests that multiple mechanisms contribute to PRES
development.
Severe Hypertension
Endothelial Dysfunction
Patients receiving chemotherapy, calcineurin inhibitors, or immunotherapy
may develop endothelial injury even in the absence of severe hypertension.
Common associated conditions include:
- Tacrolimus toxicity
- Cyclosporine therapy
- Bevacizumab treatment
- Sepsis-associated
inflammation
- Systemic lupus
erythematosus
- Renal failure
These mechanisms demonstrate why PRES should be considered a systemic
vascular disorder rather than merely a hypertensive complication.
Clinical Presentation
Symptoms usually develop within hours but occasionally evolve over several
days.
Typical manifestations include:
- Severe headache
- Generalized seizures
- Visual disturbance
- Cortical blindness
- Altered mental status
- Confusion
- Reduced consciousness
- Nausea
- Vomiting
- Focal neurological
deficits
Because these symptoms overlap substantially with acute ischemic stroke,
rapid neuroimaging is indispensable.
Diagnostic Workflow
Clinical Imaging Evaluation
Accurate imaging interpretation is the cornerstone of diagnosing Posterior
Reversible Encephalopathy Syndrome (PRES). While clinical manifestations
provide valuable clues, definitive diagnosis depends on recognizing
characteristic imaging patterns and differentiating PRES from other
neurological emergencies.
Modern neuroimaging follows a stepwise approach:
Emergency CT → Brain MRI → Advanced MRI Sequences → AI-assisted Interpretation
→ Clinical Decision Support
This multimodal strategy minimizes diagnostic delay and significantly
improves patient outcomes.
Computed Tomography (CT) Findings
The First Imaging Examination in the Emergency Department
Computed tomography remains the first-line imaging modality because it is:
- Rapid
- Widely available
- Excellent for detecting
hemorrhage
- Essential for excluding
acute neurosurgical emergencies
However, CT is relatively insensitive during the early stages of PRES.
Approximately one-third of patients demonstrate subtle or even normal CT
findings despite significant neurological symptoms.
Radiologists should therefore avoid excluding PRES solely because the
initial CT appears unremarkable.
Typical CT Features
Characteristic CT abnormalities include:
- Bilateral low-attenuation
lesions
- Symmetric white matter
edema
- Parieto-occipital
predominance
- Mild cortical involvement
- Preservation of
gray-white differentiation
- Minimal mass effect
- Absence of vascular
territorial infarction
Unlike ischemic stroke, lesions do not conform to a specific arterial
distribution.
This imaging pattern reflects vasogenic edema, rather than
infarction.
Figure 1. Non-Contrast Brain CT
Radiologist Interpretation
Bilateral hypodense areas are identified within the posterior parietal and
occipital white matter. No intracranial hemorrhage, midline shift, or acute
territorial infarction is demonstrated.
The symmetric distribution strongly favors vasogenic edema consistent with
Posterior Reversible Encephalopathy Syndrome (PRES).
Magnetic Resonance Imaging (MRI)
Why MRI Is the Gold Standard
Magnetic Resonance Imaging provides substantially greater sensitivity than
CT.
MRI not only detects PRES earlier but also characterizes:
- Lesion distribution
- Severity
- Complications
- Reversibility
- Differential diagnosis
For this reason, MRI has become the imaging modality of choice for
suspected PRES.
T2-Weighted Imaging
Typical findings include:
- Hyperintense white matter
lesions
- Bilateral distribution
- Posterior cerebral
predominance
- Minimal mass effect
Although the parieto-occipital lobes are most frequently affected, lesions
may also involve:
- Frontal lobes
- Cerebellum
- Basal ganglia
- Brainstem
- Corpus callosum
FLAIR Imaging
Fluid-Attenuated Inversion Recovery (FLAIR) sequences provide the highest
sensitivity for vasogenic edema.
Typical MRI findings include:
- Symmetric
cortical-subcortical hyperintensity
- Posterior white matter
edema
- Cortical involvement
- Sulcal effacement
- Absence of significant
enhancement
Figure 2. Axial FLAIR MRI
Radiologist Interpretation
Extensive bilateral FLAIR hyperintensity is demonstrated within the
parieto-occipital white matter.
The lesions exhibit classic imaging characteristics of vasogenic edema
without evidence of space-occupying mass effect.
These findings are highly characteristic of Posterior Reversible
Encephalopathy Syndrome.
Diffusion-Weighted Imaging (DWI)
DWI represents one of the most important MRI sequences when
differentiating PRES from acute cerebral infarction.
Typical PRES
- No restricted diffusion
- Vasogenic edema
- Increased extracellular
water
Acute Ischemic Stroke
- Restricted diffusion
- Cytotoxic edema
- Irreversible neuronal
injury
Therefore, DWI frequently provides the decisive imaging evidence for
diagnosis.
Apparent Diffusion Coefficient (ADC)
ADC mapping complements DWI.
Characteristic findings include:
- Increased ADC values
- Free diffusion
- Extracellular fluid
accumulation
These findings support reversible vasogenic edema.
When ADC values become reduced, irreversible ischemic injury should be
suspected.
Figure 3. DWI and ADC Map
Radiologist Interpretation
No diffusion restriction is observed.
ADC maps demonstrate increased diffusivity corresponding to bilateral
vasogenic edema.
These findings strongly support PRES rather than acute ischemic
infarction.
Advanced MRI Techniques
Modern neuroradiology increasingly incorporates advanced MRI sequences.
These include:
Susceptibility-Weighted Imaging (SWI)
Useful for detecting:
- Microhemorrhage
- Petechial hemorrhage
- Hemosiderin deposition
Approximately 15–30% of PRES patients demonstrate hemorrhagic
complications.
MR Perfusion
May demonstrate:
- Reduced cerebral blood
flow
- Altered cerebral
autoregulation
- Regional perfusion
abnormalities
Perfusion imaging is particularly valuable in difficult diagnostic cases.
MR Angiography (MRA)
Usually demonstrates:
- Normal intracranial
arteries
Occasionally:
- Vasoconstriction
- Reversible cerebral
vasospasm
This is particularly relevant in patients with concurrent Reversible
Cerebral Vasoconstriction Syndrome (RCVS).
Differential Diagnosis
Because PRES shares imaging findings with multiple neurological
emergencies, careful differentiation is essential.
|
Disease |
MRI Appearance |
DWI |
Key Clinical Clues |
|
PRES |
Bilateral posterior
vasogenic edema |
Usually negative |
Hypertension, eclampsia,
immunosuppressants |
|
Acute Ischemic Stroke |
Arterial territory
infarction |
Restricted diffusion |
Sudden focal deficits |
|
RCVS |
May coexist with PRES |
Usually normal |
Thunderclap headache |
|
Herpes Encephalitis |
Temporal lobe involvement |
Variable |
Fever, altered consciousness |
|
Acute Disseminated
Encephalomyelitis (ADEM) |
Multifocal white matter
lesions |
Variable |
Recent infection or
vaccination |
|
Progressive Multifocal
Leukoencephalopathy (PML) |
Asymmetric white matter
lesions |
Usually negative |
Severe immunosuppression |
Recognition of these imaging distinctions prevents inappropriate
treatments such as unnecessary thrombolysis.
Artificial Intelligence in PRES Diagnosis
Artificial Intelligence is rapidly becoming an essential component of
emergency neuroimaging.
Current AI applications include:
- Automated edema detection
- MRI lesion segmentation
- Brain abnormality
classification
- Image prioritization
- Clinical triage
- Report generation
assistance
Rather than replacing radiologists, AI functions as an intelligent
decision-support system that enhances efficiency and diagnostic confidence.
Deep Learning for Brain MRI
Convolutional Neural Networks (CNNs) have demonstrated remarkable
performance in recognizing abnormal MRI patterns.
Potential applications include:
- Automatic FLAIR lesion
detection
- White matter edema
segmentation
- PRES probability scoring
- Follow-up comparison
- Disease progression
monitoring
Future systems will likely integrate multimodal imaging with clinical data
to provide more comprehensive diagnostic support.
Clinical Decision Support System (CDSS)
A future AI-assisted workflow may proceed as follows:
Such workflows have the potential to reduce interpretation delays, improve
triage in busy emergency departments, and support timely management of patients
with PRES.
Key Imaging Pearls Every Radiologist Must Know
Posterior Reversible Encephalopathy Syndrome (PRES) remains one of the
most important neurological emergencies because it is potentially reversible
when diagnosed promptly. The following imaging pearls summarize the essential
radiological features every neuroradiologist, emergency radiologist, and
physician should recognize.
1. MRI Is Significantly More Sensitive Than CT
Although non-contrast CT is the initial imaging examination in most
emergency departments, early CT findings may be subtle or completely normal.
MRI—particularly FLAIR, DWI, and ADC sequences—is
considerably more sensitive for detecting vasogenic edema.
Whenever PRES is clinically suspected despite a negative CT examination,
MRI should be performed without delay.
2. Symmetric Posterior Distribution Is the Hallmark
The classic imaging pattern consists of bilateral vasogenic edema
involving:
- Parietal lobes
- Occipital lobes
- Posterior frontal lobes
The lesions typically demonstrate a remarkably symmetric distribution.
Although "posterior" involvement is characteristic, atypical
presentations involving the cerebellum, basal ganglia, corpus callosum, or
brainstem are increasingly recognized.
3. Vasogenic Edema Is the Defining Imaging Feature
The pathological hallmark of PRES is vasogenic edema, produced by
disruption of the blood-brain barrier.
Unlike ischemic stroke:
- extracellular water
increases
- diffusion remains
relatively unrestricted
- Neuronal injury is
potentially reversible
Recognition of vasogenic edema fundamentally changes patient management.
4. DWI and ADC Prevent Misdiagnosis
Diffusion-weighted imaging should always be interpreted together with ADC
maps.
Typical PRES demonstrates:
- no diffusion restriction
- increased ADC values
Restricted diffusion suggests:
- acute cerebral infarction
- irreversible tissue
injury
- poor prognosis
This distinction is among the most important diagnostic decisions in
emergency neuroradiology.
5. PRES Does Not Respect Vascular Territories
Unlike acute ischemic stroke, PRES lesions do not correspond to a single
arterial distribution.
Instead, edema typically crosses vascular boundaries, producing bilateral
cortical-subcortical abnormalities.
Recognition of this imaging pattern immediately narrows the differential
diagnosis.
6. Hemorrhage Is More Common Than Previously Believed
Advanced susceptibility-weighted imaging (SWI) has demonstrated that
intracranial hemorrhage occurs in approximately 15–30% of patients.
Possible findings include:
- petechial hemorrhage
- focal hematoma
- subarachnoid hemorrhage
Failure to identify these complications may significantly alter treatment
decisions.
7. Imaging Must Always Be Interpreted Within Clinical
Context
Radiologists should always consider:
- severe hypertension
- preeclampsia
- eclampsia
- renal failure
- autoimmune disease
- chemotherapy
- immunosuppressive therapy
- sepsis
Combining imaging findings with clinical history substantially improves
diagnostic accuracy.
8. Follow-Up MRI Confirms Reversibility
One defining characteristic of PRES is radiological improvement following
treatment.
Serial MRI examinations frequently demonstrate:
- reduction of vasogenic
edema
- normalization of FLAIR
abnormalities
- restoration of normal
brain architecture
Follow-up imaging therefore provides valuable confirmation of the diagnosis.
9. AI Should Support—Not Replace—the Radiologist
Artificial intelligence excels at:
- lesion detection
- segmentation
- workflow prioritization
- quantitative analysis
However, the interpretation of complex neurological disorders still requires
experienced neuroradiologists.
The future of neuroimaging lies in human–AI collaboration, not
autonomous diagnosis.
10. Early Diagnosis Determines Prognosis
Delayed recognition may result in:
- cerebral infarction
- intracranial hemorrhage
- permanent neurological
disability
- death
Early diagnosis followed by aggressive treatment often leads to complete
neurological recovery.
This emphasizes the central role of imaging in modern emergency medicine.
Artificial Intelligence and the Future of PRES
Diagnosis
From Image Interpretation to Intelligent Clinical
Decision Support
Medical imaging is entering an era in which artificial intelligence
extends far beyond simple image classification.
Future AI platforms will integrate:
- CT images
- MRI examinations
- Laboratory findings
- Electronic Health Records
(EHR)
- Blood pressure trends
- Medication history
- Genomic information
to generate comprehensive diagnostic recommendations.
Rather than functioning as isolated algorithms, these systems will become
intelligent clinical assistants.
Foundation Models in Medical Imaging
Large multimodal foundation models are expected to transform radiology by
simultaneously analyzing:
- imaging data
- radiology reports
- laboratory values
- physician notes
- pathology findings
Such systems may recognize subtle imaging patterns that are difficult to
detect visually while generating structured differential diagnoses supported by
current medical evidence.
Explainable Artificial Intelligence (XAI)
One major challenge in healthcare AI is physician trust.
Explainable AI addresses this issue by displaying:
- heat maps
- lesion localization
- probability scores
- diagnostic reasoning
- confidence estimates
Instead of simply predicting "PRES detected," future
systems will explain why the diagnosis is likely.
This transparency will improve physician acceptance and facilitate
regulatory approval.
Enterprise AI Platforms
Modern hospitals increasingly require integrated AI ecosystems rather than
isolated software applications.
An enterprise medical imaging platform should seamlessly connect:
- PACS
- RIS
- Electronic Health Records
- Cloud Healthcare
Infrastructure
- Clinical Decision Support
Systems
- AI Diagnostic Software
Such integration enables continuous learning while minimizing workflow
disruption.
Digital Twin Technology
One of the most exciting future developments is the emergence of Digital
Twin Medicine.
A patient's digital twin may continuously integrate:
- blood pressure
- imaging biomarkers
- laboratory values
- medication response
- physiological monitoring
allowing clinicians to simulate disease progression and personalize
treatment strategies before irreversible brain injury occurs.
Clinical Impact
Implementation of AI-supported emergency neuroimaging may provide
measurable benefits.
Potential improvements include:
- Faster diagnosis
- Reduced reporting time
- Earlier blood pressure
control
- Lower ICU admission rates
- Improved neurological
outcomes
- Reduced healthcare costs
- Standardized imaging
interpretation
- Enhanced patient safety
These benefits are particularly valuable in hospitals experiencing
increasing imaging volumes and shortages of experienced neuroradiologists.
Conclusion
Posterior Reversible Encephalopathy Syndrome represents one of the most
important reversible neurological emergencies encountered in contemporary
clinical practice.
Its diagnosis depends primarily upon recognition of characteristic
neuroimaging findings.
Although CT remains the first imaging examination in most emergency departments,
MRI—particularly FLAIR, DWI, and ADC sequences—provides the highest diagnostic
accuracy.
The integration of artificial intelligence into emergency neuroradiology
promises to transform clinical workflow through automated lesion detection,
quantitative image analysis, intelligent triage, and real-time clinical
decision support.
However, the future of radiology will not be defined by artificial
intelligence alone.
Instead, it will be defined by collaboration between experienced
physicians and trustworthy AI systems, combining computational power
with clinical judgment to improve patient outcomes.
As healthcare enters the era of foundation models, cloud-native imaging
platforms, and precision medicine, PRES serves as an excellent example of how
advanced imaging and intelligent clinical decision support can together
transform neurological emergency care.
Clinical Take-Home Messages
✔ MRI remains the gold standard
for diagnosing PRES.
✔ FLAIR and DWI sequences are essential
for distinguishing vasogenic edema from acute infarction.
✔ AI can substantially improve
emergency imaging workflow.
✔ Explainable AI is likely to
become the future standard for clinical implementation.
✔ Human expertise remains
indispensable for final diagnosis.
✔ Early diagnosis dramatically
improves prognosis.
Frequently Asked Questions
1. What is Posterior Reversible Encephalopathy Syndrome
(PRES)?
Posterior Reversible Encephalopathy Syndrome (PRES) is a
clinicoradiological syndrome characterized by acute neurological symptoms
accompanied by reversible vasogenic cerebral edema. Patients commonly present
with seizures, headache, visual disturbances, confusion, altered mental status,
and severe hypertension. MRI is considered the gold standard for diagnosis
because it is highly sensitive for detecting vasogenic edema within the
posterior cerebral hemispheres.
2. Is PRES a Stroke?
No.
Although PRES frequently mimics acute ischemic stroke, the underlying
pathophysiology differs significantly.
Stroke results from arterial occlusion and irreversible cytotoxic edema,
whereas PRES results primarily from disruption of the blood-brain barrier
leading to reversible vasogenic edema.
Diffusion-weighted imaging (DWI) and ADC mapping are particularly useful
for distinguishing these two conditions.
3. Which Imaging Modality Is Best for Diagnosing PRES?
Magnetic Resonance Imaging (MRI) is the preferred imaging modality.
The most valuable MRI sequences include:
- FLAIR
- Diffusion-Weighted
Imaging (DWI)
- ADC Mapping
- T2-weighted Imaging
- Susceptibility-Weighted
Imaging (SWI)
Although CT is often performed initially, MRI demonstrates substantially
greater sensitivity.
4. What Causes PRES?
Several clinical conditions may trigger PRES.
The most common include:
- Severe hypertension
- Hypertensive emergency
- Preeclampsia
- Eclampsia
- Organ transplantation
- Chemotherapy
- Immunosuppressive therapy
- Autoimmune diseases
- Sepsis
- Acute kidney injury
The underlying mechanism involves endothelial dysfunction and failure of
cerebral autoregulation.
5. Is PRES Completely Reversible?
Most patients experience substantial neurological recovery when diagnosis
and treatment occur promptly.
However, delayed diagnosis may lead to:
- Cerebral infarction
- Intracranial hemorrhage
- Permanent neurological
deficits
- Death
Early recognition remains the single most important prognostic factor.
6. Can Artificial Intelligence Diagnose PRES?
Artificial Intelligence cannot independently establish a clinical
diagnosis.
However, modern AI systems can assist radiologists by:
- Detecting abnormal MRI
findings
- Segmenting vasogenic
edema
- Prioritizing emergency
cases
- Generating preliminary
reports
- Supporting Clinical
Decision Support Systems
The final diagnosis should always be confirmed by qualified physicians.
7. How Does AI Improve Emergency Neuroimaging?
AI offers several advantages:
- Faster image triage
- Automated lesion
detection
- Quantitative edema
analysis
- Workflow optimization
- Reduced reporting delays
- Improved diagnostic
consistency
These improvements may shorten the time to treatment in emergency
departments.
8. What Are the Typical MRI Findings of PRES?
Classic MRI findings include:
- Bilateral
parieto-occipital FLAIR hyperintensity
- Vasogenic edema
- No diffusion restriction
- Increased ADC values
- Symmetric
cortical-subcortical involvement
These imaging characteristics strongly support the diagnosis.
9. Can PRES Occur Without Hypertension?
Yes.
Although hypertension is the most common precipitating factor, PRES may
also occur in normotensive patients receiving:
- Tacrolimus
- Cyclosporine
- Chemotherapy
- Immunotherapy
or in patients with autoimmune diseases and sepsis.
10. Why Is PRES Important for Radiologists?
Recognition of PRES directly influences patient management.
Prompt diagnosis allows:
- Blood pressure control
- Medication adjustment
- Intensive monitoring
- Prevention of permanent
neurological injury
Radiologists, therefore, play a central role in improving patient outcomes.
Clinical Practice Guidelines
When Should PRES Be Suspected?
Radiologists should immediately consider PRES when imaging demonstrates:
✓ Bilateral posterior white matter
edema
✓ Symmetric FLAIR hyperintensity
✓ Vasogenic edema without
restricted diffusion
✓ Clinical history of
hypertension, eclampsia, transplantation, or chemotherapy
MRI Protocol Recommendation
Recommended MRI protocol:
- Axial T1
- Axial T2
- FLAIR
- DWI
- ADC
- SWI
- Post-contrast T1 (when
indicated)
- MR Angiography (selected
cases)
Future Trends in Medical Imaging AI
Medical imaging is entering an unprecedented period of innovation.
Over the next decade, radiology will likely evolve through:
Foundation AI Models
Large multimodal AI models capable of integrating:
- CT
- MRI
- PET
- Ultrasound
- Clinical notes
- Laboratory findings
into a unified diagnostic framework.
Autonomous Workflow Assistance
Future AI systems will automatically:
- Detect abnormalities
- Prioritize urgent
examinations
- Draft radiology reports
- Recommend differential
diagnoses
- Suggest follow-up imaging
while leaving the final interpretation to physicians.
Explainable AI
Regulatory agencies increasingly require AI systems to explain their
reasoning.
Future algorithms will provide:
- Heat maps
- Probability estimates
- Lesion localization
- Confidence intervals
- Diagnostic explanations
This transparency will increase physician confidence and facilitate
clinical adoption.
Precision Medicine
Medical imaging will become increasingly integrated with:
- Genomics
- Proteomics
- Biomarkers
- Wearable devices
- Electronic Health Records
Allowing individualized diagnosis and treatment planning.
Final Thoughts
Posterior Reversible Encephalopathy Syndrome is a remarkable example of
how advanced neuroimaging can transform patient care.
The combination of MRI, neuroradiology expertise, and artificial
intelligence enables earlier diagnosis, more accurate differentiation from
stroke, and more timely treatment.
As AI continues to mature, radiologists will increasingly transition from
image interpreters to information managers, integrating imaging findings with
clinical data to provide personalized, evidence-based care.
The future of emergency neuroradiology is not defined by machines
replacing physicians. Rather, it is defined by intelligent collaboration
between human expertise and trustworthy AI, delivering faster diagnoses,
safer decisions, and better outcomes for patients worldwide.
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References
- Fugate JE, Rabinstein AA.
Posterior Reversible Encephalopathy Syndrome: Clinical and Radiological
Manifestations, Pathophysiology, and Outstanding Questions. Lancet
Neurology. 2015;14(9):914–925. DOI: 10.1016/S1474-4422(15)00111-8
- Bartynski WS. Posterior
Reversible Encephalopathy Syndrome, Part 1: Fundamental Imaging and
Clinical Features. American Journal of Neuroradiology.
2008;29:1036–1042. DOI: 10.3174/ajnr.A0928
- Bartynski WS. Posterior
Reversible Encephalopathy Syndrome, Part 2: Controversies Surrounding
Pathophysiology. American Journal of Neuroradiology.
2008;29:1043–1049. DOI: 10.3174/ajnr.A0929
- Hinduja A. Posterior
Reversible Encephalopathy Syndrome: Clinical Features and Outcome. Frontiers
in Neurology. 2020. DOI: 10.3389/fneur.2020.00071
- McKinney AM, et al. Posterior
Reversible Encephalopathy Syndrome: Incidence of Atypical Regions of
Involvement and Imaging Findings. AJR American Journal of
Roentgenology.
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