http://journal.frontiersin.org/article/10.3389/fneur.2015.00085/full?
- 1Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- 2Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- 3Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA
- 4Clinical Neurosciences, University of Cambridge, Cambridge, UK
- 5INSERM U894, Centre de Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Sorbonne Paris Cité, Paris, France
The ischemic penumbra refers to tissue at risk of
infarction where perfusion is inadequate to support neuronal function,
but just adequate to maintain cell viability (1). This dysfunctional, but salvageable tissue has been the target of all acute stroke therapies (2), and this concept underpinned the successful trials of intravenous thrombolysis using t-PA (3).
Advanced imaging, including diffusion-weighted imaging (DWI) and
perfusion-weighted imaging (PWI) MR and CT perfusion (CTp), was
developed to rapidly identify stroke patients with still present
penumbra, who were thought to be the best candidates for reperfusion
therapies. However, early studies, using different methods for
identifying penumbra, different measures of outcome, and different
time-windows have not consistently confirmed the benefit of selecting
treatment candidates on the basis of imaged penumbra. Therefore, some
outstanding questions surround the optimal modality for imaging the
penumbra, the most reliable thresholds in each modality, how long the
penumbra can be maintained under what subject-specific circumstances,
and the functional significance of persistent penumbra. These questions
have taken on particular importance in light of the results of five
recently completed randomized clinical trials showing benefit of
endovascular treatment of stroke, when patients are carefully selected
and treated on a timely basis. These trials include MR CLEAN (4), ESCAPE (5); EXTEND-IA (6),
and two trials that have not been published, but the results of which
have been presented at the International Stroke Conference [SWIFT PRIME (7) and REVASCAT1].
These trials have used different criteria to select patients for
treatment, including different modalities of imaging (CT vs. MRI), but
those that have shown the highest odds of favorable functional outcome
have selected patients on the basis of having both a small core infarct,
and either large volume of penumbral tissue (“tissue at risk”) (6, 7) or the presence of moderate–good collateral circulation (5) that would support penumbral tissue in the face of proximal occlusion.
These recent studies, together with an earlier
successful pilot trial of another thrombolytic agent that used MR-based
selection of target penumbral patients (8)
have shown the importance of selecting patients on the basis of the
presence of penumbral tissue, but underscore the urgency of defining
appropriate thresholds with imaging that can be obtained swiftly in
order to maximize the efficiency of intervention. While the gold
standard for both irreversibly ischemic core and penumbra has been
defined by PET (2),
PET cannot be obtained rapid enough to provide a practical guide for
acute stroke treatment. Some centers are able to obtain rapid MRI, while
most will rely likely on multiphase CT angiogram and/or CTp to guide
intervention. It is critical that the stroke field adopts valid and
reliable thresholds using any of these modalities to select candidates
for intervention. Toward this goal, two MR vs. PET back-to-back studies
have proposed validated MR-perfusion thresholds, based on small samples (9, 10).
This Research Topic consists of a set of papers that addresses some of
the controversies and intriguing questions that remain.
Kaesemann and colleagues (11)
evaluated the impact of severe extracranial ICA stenosis on MRI
measures of penumbra in patients with middle cerebral artery occlusion
who were imaged within 4.5 h of onset. They evaluated core infarct
volumes, mean transit time (MTT), Tmax, cerebral blood volume (CBV), and cerebral blood flow (CBF) maps, as well as tissue at risk (Tmax >6 – infarct volume). The presence of the additional extracranial stenosis did not affect measured infarct volume, MTT, Tmax,
or tissue at risk, but had a small influence on CBV. They hypothesized
that extracranial stenosis may lead to ischemic preconditioning that
results in improved collateral circulation and a consequent increase in
CBV in the presence of acute stroke.
Wouters and co-workers (12)
discuss proposed imaging criteria, including diffusion-FLAIR mismatch,
for selecting patients who wake up with stroke and or have unknown
onset. They point out that there are currently no data for selecting one
set of criteria over another, but argue that identifying patients who
have penumbral tissue with imaging should allow intravenous and/or
endovascular treatment of many of these patients.
Leigh and colleagues (13)
hypothesized that the conflicting conclusions from two large
endovascular trials, MR RESCUE and DEFUSE 2, regarding the usefulness of
MRI diffusion and perfusion imaging for selecting candidates for
treatment were due to differences in definitions of core infarct and
“tissue at risk.” MRI scans from patients evaluated for endovascular
therapy were processed using the methods published in the two trials.
The volume of core infarct was consistently smaller when defined by MR
RESCUE criteria than DEFUSE 2 criteria. The volume of tissue at risk was
consistently larger when defined by the MR RESCUE criteria than DEFUSE 2
criteria. When these volumes were used to classify MRI scans, 9 out of
12 patients (75%) were classified as having salvageable tissue by MR
RESCUE, while only 4 out of 12 patients (33%) were classified as having
salvageable tissue by DEFUSE 2 criteria.
Marsh and co-workers (14)
present two patients who underwent endovascular treatment with very
different outcomes. They argue that robust collateral circulation
supported a prolonged penumbra in the patient who showed minimal
progression to infarct and outstanding functional outcome despite a
delay in treatment.
Agarwal and colleagues (15)
compared quantitative hemodynamic measures of CTp (volumes of penumbra
defined by CBF, or PenCBF, and penumbra defined by MTT, or PenMTT), a
visually defined CBF/CBV ASPECTS ratio, and a visually rated collateral
circulation on CTA. They found that both PenCBF and PenMTT showed trends
to decrease with increased time since onset. The CBF/CBV ASPECTS ratio,
which was related to the PenCBF, significantly decreased with increased
time since onset. In contrast, the rating of collateral response was
not related to time since onset. These results raise some questions as
to whether the presence of collaterals can be used as a surrogate for
the presence of penumbral tissue in selecting candidates for
intervention.
Campbell and colleagues (16)
discuss challenges of imaging the penumbra and provide useful
guidelines. They also discuss scenarios in which recanalization and
reperfusion are discordant: both cases in which there is recanalization
without reperfusion and reperfusion without recanalization (via enhanced
retrograde collateral flow). Finally, they discuss infarct growth and
the fact that there is sometimes persistent hypoperfusion that accounts
for clinical deficits.
Motta et al. (17)
investigated the clinical consequences of persistent hypoperfusion.
They found that uninfarcted but hypoperfused tissue, with a threshold of
4–5.9 s delay on time-to-peak (TTP) maps on PWI occasionally persists
for days and is associated with cognitive deficits such as aphasia or
neglect. Furthermore, change in volume of hypoperfused tissue of 4–5.9 s
delay and change in volume of ischemic tissue on DWI over the first few
days were independently associated with change in cognitive function.
Sebastian et al. (18)
also show that persistent cortical hypoperfusion caused by arterial
stenosis can cause aphasia or neglect (in cases of purely thalamic
infarct), although some cases of aphasia after thalamic stroke are
likely due to cortical dysfunction (diaschisis) in the absence of
hypoperfusion caused by arterial stenosis.
Finally, Scalzo and colleagues (19)
argue that there are likely to be detailed features of CT and MRI that
are not currently tapped, which may provide useful information for
guiding stroke intervention. Use of computer vision and machine learning
to incorporate aspects of imaging data that we may not realize are
relevant may yield data-driven approaches to clinical decision-support.
This Research Topic thus addresses important and
timely concerns surrounding the issue of how the ischemic penumbra can
best be rapidly identified on imaging in order to contribute to
management of acute stroke.
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