Recently, we have read with great interest the article by Benson et al. “Clot permeability and histopathology: is a clot’s perviousness on CT imaging correlated with its histologic composition?” [1].
It is pleasing, that research in the field of thrombus characterization by perviousness and its association to thrombus composition is emerging. Benson et al. report a higher clot perviousness for RBC rich clots in comparison to fibrin dominant thrombi [1]. These results stand in contrast to our previously published study [2], that shows an association between perviousness and fibrin rich clots. We furthermore validated those findings in a large collective by showing a relationship between perviousness and cardioembolic origin. Further research to this special topic is scarce. However, there is another experimental and therefore well controllable study on artificial clots, that showed a strong association of fibrin content and contrast agent uptake [3], similar as it has been shown for in vivo thrombi in our study [2].
Consequently, these contradictory results demand further explanations. In our opinion, the differing results might be caused by methodological differences, which we want to discuss.
First, thrombus localizations should be taken into account. Benson et al. used a collective of 57 thrombi with different thrombus locations (38 MCA, 6 ICA, 5 ICA/MCA, 3 basilar artery, 2 posterior cerebral artery, 2 ICA/MCA/ACA, 1 ICC/MCA). It is at least questionable, if histological composition can be compared between different circulations as it is known that there are different pathophysiological mechanisms (e.g. more underlying stenosis in the posterior circulation) as well as different flow conditions that would influence thrombus evolution and consequently composition [4].
Second, and more important, using an in-homogenous collective for perviousness assessment would stringently lead to technical difficulties in data acquisition: to make measurements comparable, direct contact from fresh flooding contrast agent in CTA is required, preventing the problem of a stationary blood column, which can be observed in occlusions of the ICA, for example. From own experience, identifying exact thrombus location is challenging for cases of ICA occlusions, that complicates the perviousness assessment. To circumvent these risks for falsified measurements, we used in our study a homogenous collective of 32 MCA occlusions. It would be interesting if Benson et al. would reproduce their results in the subgroup of 38 MCA occlusions.
Third, technical issues about perviousness assessment should be discussed as they differ between the groups. We used a co-registration process for native CT and CTA images to exactly identify the thrombus, although the thrombus is not visible in the native CT scan. Benson et al. did not apply a co-registration process between native CT and CTA images, and they excluded patients, “if the inciting clot was too small to be visualized”. Especially fibrin-rich clots are not obviously visible on native CT, and they can be included in the analysis by using a co-registration process to avoid a systematical selection bias.
Fourth, we excluded patients because of non-occluding thrombi when contrast agent passed the thrombus. We think, that perviousness cannot be assessed adequately for these cases, because perviousness would be measured artificially high. Consequently, these cases also present with tendentially better clinical outcome. It would be interesting, if such cases are included in the study of Benson et al. and how they present.
From the majority of histological studies, an association between fibrin-rich clots and cardioembolic origin is known [5, 6]. This fact makes the perviousness assessment interesting as it can predict stroke cause early on (for detailed discussion see [2]). Benson et al. report a cardioembolic origin as most common (59.6% of thrombi). They also report that 66.7% appeared pervious, however with higher RBC density. It would be interesting if their data would show a possible correlation between histological thrombus composition and etiology, and, secondly, a correlation between perviousness and etiology.
Benson et al. based their hypotheses on a positive correlation between pervious clots and good clinical outcome, that seems plausible as the dependent tissue behind an occlusion is better supplied with blood and nutrients when the clot is pervious [7]. RBC-rich clots show better clinical outcome, that is, among others, based on an easier removal in mechanical thrombectomy [8]. Due to the predominant subgroup of cardioembolic, presumably fibrin-rich clots in the anterior circulation, these clots dominate the analyses. Possibly, the assumed tendency between perviousness and good clinical outcome is based on this predominant subgroup. Consequently, it would not contradict the possible association between higher perviousness and fibrin-rich clots.
In summary, association between perviousness, clot composition, etiology and clinical outcome is not conclusively clarified yet and warrants further research, especially in a larger patient group in a multi-centric setting.

Literature
1. Benson JC, Fitzgerald ST, Kadirvel R, Johnson C, Dai D, Karen D et al. Clot permeability and histopathology: is a clot's perviousness on CT imaging correlated with its histologic composition? J Neurointerv Surg. 2019. doi:10.1136/neurintsurg-2019-014979.
2. Berndt M, Friedrich B, Maegerlein C, Moench S, Hedderich D, Lehm M et al. Thrombus Permeability in Admission Computed Tomographic Imaging Indicates Stroke Pathogenesis Based on Thrombus Histology. Stroke. 2018;49(11):2674-82. doi:10.1161/STROKEAHA.118.021873.
3. Borggrefe J, Kottlors J, Mirza M, Neuhaus VF, Abdullayev N, Maus V et al. Differentiation of Clot Composition Using Conventional and Dual-Energy Computed Tomography. Clin Neuroradiol. 2017. doi:10.1007/s00062-017-0599-3.
4. Boeckh-Behrens T, Pree D, Lummel N, Friedrich B, Maegerlein C, Kreiser K et al. Vertebral Artery Patency and Thrombectomy in Basilar Artery Occlusions. Stroke. 2019;50(2):389-95. doi:10.1161/STROKEAHA.118.022466.
5. Sporns PB, Hanning U, Schwindt W, Velasco A, Minnerup J, Zoubi T et al. Ischemic Stroke: What Does the Histological Composition Tell Us About the Origin of the Thrombus? Stroke. 2017;48(8):2206-10. doi:10.1161/STROKEAHA.117.016590.
6. Boeckh-Behrens T, Kleine JF, Zimmer C, Neff F, Scheipl F, Pelisek J et al. Thrombus Histology Suggests Cardioembolic Cause in Cryptogenic Stroke. Stroke. 2016;47(7):1864-71. doi:10.1161/STROKEAHA.116.013105.
7. Santos EM, Marquering HA, den Blanken MD, Berkhemer OA, Boers AM, Yoo AJ et al. Thrombus Permeability Is Associated With Improved Functional Outcome and Recanalization in Patients With Ischemic Stroke. Stroke. 2016;47(3):732-41. doi:10.1161/STROKEAHA.115.011187.
8. Hashimoto T, Hayakawa M, Funatsu N, Yamagami H, Satow T, Takahashi JC et al. Histopathologic Analysis of Retrieved Thrombi Associated With Successful Reperfusion After Acute Stroke Thrombectomy. Stroke. 2016;47(12):3035-7. doi:10.1161/STROKEAHA.116.015228.

We read with interest the article by Soize et al. “Can early neurological improvement after mechanical thrombectomy be used as a surrogate for final stroke outcome?”[1] Based on their results, the authors concluded that early neurological improvement (ENI) 24 hours after thrombectomy is a straightforward surrogate of long-term outcome. However, all patients in this study were treated with conscious sedation (CS), and not general anesthesia (GA). The residual effects of GA may mask ENI and limit its utility as a surrogate for long-term outcome.[2]

We performed a similar analysis of patients enrolled in a prospective single-center registry. The ability of ENI to predict 3-month functional independence was assessed by the area under the receiver operating characteristic curve (AUC) and compared using the independent-samples Hanley test. Multivariable linear regression assessing the relationship between anesthetic technique and ENI was also performed. The analysis received ethics approval.

291 patients were treated with thrombectomy, with 261 (89.7%) procedures performed with GA, and 30 (10.3%) with CS. All patients were de-sedated and extubated more than 12 hours before 24-hour National Institutes of Health Stroke Scale assessment. 174 (59.8%) patients achieved 3-month functional independence. Baseline and procedural characteristics did not differ between GA and CS patients (all P>0.05). ENI demonstrated better prognostic ability in CS (AUC 0.91, 95% confidence interval [CI], 0.80-1.00) than it did with GA treated patients (AUC 0.73, 95% CI, 0.67-0.80; P=0.008). Multivariable regression showed that GA was independently associated with attenuated ENI (P=0.03).

Our findings are in agreement with Soize et al, in that ENI does seem to predict long-term outcome in thrombectomy patients treated with CS, with comparable AUCs (0.91 and 0.93 respectively).[1] However, our results also suggest that ENI is worse at predicting long-term outcome following thrombectomy performed with GA. Furthermore, GA was independently associated with attenuated ENI, suggesting that GA might mask early neurologic recovery. These trends would appear to be in agreement with the SIESTA trial, which reported a greater likelihood of achieving 3-month functional independence in GA than CS patients, in the absence of significant differences in ENI.[3] Post-hoc analysis of SIESTA showed that propofol dose during thrombectomy was independently associated with reduced ENI.[2] The possible mechanisms for GA attenuating ENI may include the residual pharmacological effects of benzodiazepines, opioids, neuromuscular blockers, and intravenous or volatile anesthetic agents, or transient complications of endotracheal intubation such as ventilator-associated complications.[4]

[1] Soize S, Fabre G, Gawlitza M, et al. Can early neurological improvement after mechanical thrombectomy be used as a surrogate for final stroke outcome? J. Neurointerv. Surg. 2019;11(5):450-454.

[2] Schönenberger S, Uhlmann L, Ungerer M, et al. Association of Blood Pressure With Short- and Long-Term Functional Outcome After Stroke Thrombectomy: Post Hoc Analysis of the SIESTA Trial. Stroke. 2018;49:1451–1456.

[3] Schönenberger S, Uhlmann L, Hacke W, et al. Effect of Conscious Sedation vs General Anesthesia on Early Neurological Improvement Among Patients With Ischemic Stroke Undergoing Endovascular Thrombectomy: A Randomized Clinical Trial. JAMA. 2016;316:1986–1996.

[4] Sinclair RCF, Faleiro RJ. Delayed recovery of consciousness after anaesthesia. Continuing Education in Anaesthesia, Critical Care & Pain. 2006;6:114–118.

Congratulations to Annika Keuler et al¹ on their experience with the wireless microcatheter technique preventing vessel perforations in endovascular thrombectomy. Based on their results, the authors conclude that in most cases of mechanical recanalization, the clot can be passed more safely with a wireless microcatheter. In our daily work, we also find the wireless microcatheter technique seems to reduce subarachnoid hyperdensity resulting from vessel perforations. However it seems difficult to confirm this correlation; the details of which will be discussed as follows. After reading and analyzing the article carefully, we have some opinions about the study which we would like to communicate with the authors because the conclusions of the paper directly relate to our clinical experience.
In the article, two radiological manifestations are defined as vessel perforations——contrast extravasation during angiography and angiographically occult ipsilateral circumscribed subarachnoid contrast extravasation which is identified by post-interventional CT scans. As confirmed by previous studies2-3, we agree with the authors on using immediate post-interventional CT examination to identify the subarachnoid hyperdensity due to intraoperative contrast extravasation. Based on their results, post-thrombectomy subarachnoid hyperdensity was observed on CT scans in 22 patients, in 18 of whom, the clot was passed using a microwire, and in the other four, using a wireless microcatheter. The authors concluded that the complication rate for post-thrombectomy hyperdensity was significantly higher when a microwire was used to pass the clot. However, Omid Nikoubashman et al² report that post-interventional subarachnoid hyperdensities are associated with a long interval between clinical onset and recanalization, a long procedure time, and a high number of recanalization attempts. Perry P Ng et al ³ also mention that an increased number of stent retriever passes, distal device positioning, and presence of severe vasospasm were associated with post-thrombectomy subarachnoid hyperdensity. Additionaly, the interventional neuroradiologists used a microwire to pass the clot when first-pass microcatheter passage was not successful. There is confounding bias in this practice itself——It could be more difficult to pass the clot and need more stent retriever attempts in the microwire use group.
To sum up, hyperdensity on immediate post-thrombectomy CT scans, a manifestation of vessel perforation, is associated with many factors. The conclusion that the wireless technique can reduce post-thrombectomy hyperdensity would be more convincing if the authors ruled out the association between subarachnoid contrast extravasation and potential risk factors.

Yuan Ma, Pei-Cheng Li, Long Chen
Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.

Correspondence to Dr. Long Chen, Department of Interventional Radiology, The First Affiliated Hospital of Soochow University, 188 Shizi Street,215006 Suzhou, China；lchen76@163.com

References:
1 Keulers A, Nikoubashman O, Mpotsaris A, et al. Preventing vessel perforations in endovascular thrombectomy: feasibility and safety of passing the clot with a microcatheter without microwire: the wireless microcatheter technique. J Neurointerv Surg 2018: 2018-14267.
2 Nikoubashman O, Reich A, Pjontek R, et al. Postinterventional subarachnoid haemorrhage after endovascular stroke treatment with stent retrievers. Neuroradiology 2014;56: 1087-1096.
3 Ng PP, Larson TC, Nichols CW, et al. Intraprocedural predictors of post-stent retriever thrombectomy subarachnoid hemorrhage in middle cerebral artery stroke. J Neurointerv Surg 2018;11: 127-132.

We had an opportunity to read the article by Lakomkin et al regarding systematic literature review of LVO prevalence. Since one of our studies is part of this review we feel compelled to comment on the paper. We do appreciate the authors’ efforts in conducting this analysis which is important in understanding the burden of disease – but, with respect offer some criticisms. The major limitation of the paper which the authors recognize is the heterogeneity of the included studies. Unfortunately, this limitation is so critical that it yields unreliable information at best and misleading at worst.

The paper intends to study the prevalence of large vessel strokes. However, apart from a couple of population based studies in their review, the rest are a heterogenous mix describing an LVO rate from very selective cohorts of patients from single centers. Several are centered around validation of clinical scales for detecting LVOs. The key features of a population based study include a defined catchment population, access to a large part of that population and a reliable marker of disease. Without these a “prevalence” constitutes a report of a center’s experience of disease rate as it pertains to their patient intake. While still valuable it is not an estimation of the disease burden in the population that the center serves unless an overwhelming majority of that population comes to that center.

The authors determine an average rate of about 30% LVO amongst acute ischemic stroke (AIS) patients based on their review. The critical factor here is the denominator, i.e. the number of AIS patients from which the LVO rate is derived. It can be misrepresentative to extrapolate disease rate to a larger denominator derived from a different methodology. For instance, the oft quoted denominator of about 700,000 ischemic strokes is based on population studies using very specific ICD discharge codes in well-defined populations. Examples include the GCNKSS and the BASIC projects. Unless a study uses the same discharge codes in its methodology for determining the AIS denominator it cannot transplant LVO percentages calculated from its selective cohort to the larger denominator and derive absolute numbers of disease. For instance, a 30% LVO rate in a cohort of patients assessed as having an ischemic stroke by the EMS is not the same as 30% LVO rate amongst all AIS based on specific ICD discharge codes. Using the percentage from one cohort and applying to a different denominator could yield inaccurate absolute numbers.

The study from our center that is included in this analysis was designed to capture the LVO incidence in a unique well defined population of which the vast majority (85%) was served by our hospital system based on each county data reported to the DHHR. Thus, similar to the studies used to derive the total AIS estimates (e.g. GCNKSS, BASIC) we had a defined population, had significant access to the population and used the same ICD discharge codes to determine the denominator as in those studies. We also used a reliable marker of LVO, i.e. CTA performed on every AIS patient as identified by these codes. In our first paper an LVO was defined as ICA-T, MCA and BA to restrict it predominantly to the occlusion sites considered as LVO in the major clinical trials. In our second paper, not included in this analysis, we separately determined an incidence of M2 occlusions and combined with ICA-T, M1, BA this yields a rate of 16% (95CI 14-17). In our population, this gives an incidence of 31 (95CI 26-35)/100,000 people/year. Our second paper also includes a chart showing the location of occluded sites for other vessels not considered as LVOs i.e. ACA, PICA, SCA, PCA etc.

The authors comment on our inclusion of TIA codes in the denominator. We did that because it had been part of previous population studies evaluating AIS incidences. TIA comprised at most 1% of our denominator and if we exclude these patients, the incidence of 16% LVO does not change by more than a percentage point. Another variable to consider in a single center report is that a tertiary level comprehensive center may get transfers of sicker stroke patients from referring hospitals which can further skew the denominator and hence the derived LVO rate.

In summary, it is important to differentiate between population studies and single center experiences – especially when compiling these in a systematic review. It is critical when extrapolating disease incidence from one center’s report to the national disease burden that the methodology of deriving the larger denominator is the same. Nonetheless we do appreciate this review and commend the authors on their efforts. This highlights the need for collaborative efforts to collect population data based on a uniform methodology. These efforts should include state and federal registers that collect health data based on specific disease codes. Such collective ventures can provide more realistic estimates of the LVO burden and help shape systems of care.