Diabetes or calcium channel blocker contribute to cerebral hemodynamics after bypass surgery in adult patients with moyamoya disease
Original Article

Diabetes or calcium channel blocker contribute to cerebral hemodynamics after bypass surgery in adult patients with moyamoya disease

Shoumeng Han#^, Linzhi Cai#, Qi Tian, Heng Wei, Guijun Wang, Jianfeng Wang, Peibang He, Jianming Liao, Shenqi Zhang, Qianxue Chen, Mingchang Li^

Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China

Contributions: (I) Conception and design: S Han, L Cai; (II) Administrative support: Q Chen, M Li; (III) Provision of study materials or patients: S Zhang, Q Chen, M Li; (IV) Collection and assembly of data: S Han, Q Tian, H Wei, G Wang, J Wang, P He, J Liao; (V) Data analysis and interpretation: S Han, L Cai; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

^ORCID: Shoumeng Han, 0000-0001-6713-9187; Mingchang Li, 0000-0003-4019-8886.

Correspondence to: Mingchang Li. Department of Neurosurgery, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuchang District, Wuhan 430060, China. Email: mingcli@whu.edu.cn.

Background: Moyamoya disease (MMD) is a teratogenic and lethal disease. However, existing studies do not sufficiently indicate the impact factors. Therefore, we investigated the different impact factors on cerebral hemodynamics after revascularization in patients with MMD.

Methods: We retrospectively collected the clinical data of 233 adult patients with MMD who underwent revascularization surgery in the Department of Neurosurgery, Renmin Hospital of Wuhan University, from January 2015 to June 2021 for this retrospective cohort study. We analyzed the effects on hemodynamic improvement of age, sex, stroke type, early symptoms, Suzuki stage, history of hypertension, history of diabetes, and history of hyperlipidemia in patients with MMD. We also evaluated the efficacy of different revascularization strategies and we verified the effect of computed tomography perfusion (CTP) in evaluating cerebral hemodynamics.

Results: The CTP values demonstrated that δ cerebral blood volume (CBV) values were significantly higher in the combined group [1.01 (0.87–1.75)] relative to those in the indirect group [1.34 (1.01–1.63); P=0.027]. There was no statistical significance in the improvement of clinical symptoms and clinical prognosis between the indirect and combined groups. Patients with MMD with diabetes [δ mean transit time (MTT), 0.49 (0.35–0.70) vs. 0.72 (0.52–0.87); P<0.001] or calcium channel blocker (CCB) [δCBV, 1.46 (1.10–1.83) vs. 1.12 (0.93–1.54); P=0.001] had better cerebral hemodynamics than patients in non-diabetic group or non-CCB group after revascularization.

Conclusions: We didn't find differences in clinical outcome between indirect and combined revascularization in patients with MMD. we demonstrated that CTP values can be used as a way to detect postoperative cerebral hemodynamic changes in MMD patients. Interestingly, we found that MMD patients with diabetes or CCB showed better cerebral perfusion after revascularization.

Keywords: Calcium channel blocker (CCB); computed tomography perfusion (CTP); diabetes; cerebral hemodynamics; moyamoya disease (MMD); revascularization


Submitted Apr 23, 2022. Accepted for publication Oct 19, 2022. Published online Nov 16 2022.

doi: 10.21037/qims-22-407


Introduction

Moyamoya disease (MMD) is a chronic cerebrovascular disease characterized by terminal stenosis or occlusion of the bilateral internal carotid artery and the formation of an abnormal vascular network at the base of the brain (1). Japan, Korea, and China have had the highest prevalence and incidence of MMD in recent years (2,3). Notably, disease progression is associated with the development of ischemic or hemorrhagic stroke, which are leading causes of death and severe disability (2). Ischemic MMD occurs mostly in children, while hemorrhagic MMD occurs more often in adults, which affected approximately 20% of adult MMD patients (3,4). Thus far, no specific treatment therapy for the prevention or reversal of MMD has been developed, although surgery is widely used to primarily improve cerebral blood flow with hypoperfusion (5). Despite the availability of several surgical methods, the most frequently used methods are inseparable from intracranial and extracranial vessel bypass, such as superficial temporal artery to middle cerebral artery (STA-MCA) bypass, encephalo-duro-myo-arterio-pericranial-synangiosis, encephalo-duro-myo-arterio-synangiosis, encephalo-duro-arterio-synangiosis (EDAS), encephalo-arterio-synangiosis, and encephalo-myo- synangiosis, among others (3,6).

Various types of perfusion imaging have become critical for evaluating cerebral hemodynamic changes and the reserve of the cerebrovascular system prior to and following revascularization. Particularly, perfusion imaging can be used to evaluate the therapeutic effect of revascularization based on quantitative indexes of cerebral hemodynamics (4). Computed tomography perfusion (CTP) is a rapid and noninvasive imaging technique that enables the quantification of perfusion parameters (4). However, to date, only a handful of studies have described the risk factors of hemodynamics (7,8). Therefore, the present study aimed to investigate the effect of different factors on cerebral hemodynamics after bypass surgery in patients with MMD. We present the following article in accordance with the STROBE reporting checklist (available at https://qims.amegroups.com/article/view/10.21037/qims-22-407/rc).


Methods

Patient recruitment

This study protocol was reviewed and approved by the Clinical Research Ethics Committee of Renmin Hospital of Wuhan University (No. WDRY2021-K070). An informed consent exemption was obtained for this study by the Clinical Research Ethics Committee of our hospital. And the study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This is a retrospective cohort study. We retrieved information for 365 patients who were diagnosed with MMD via computed tomography angiography (CTA) or digital subtraction angiography (DSA) in the Department of Neurosurgery, Renmin Hospital of Wuhan University between January 2015 and June 2021 (Figure 1). We followed up with all enrolled patients by phone in January 2022. Patients were included if they (I) were diagnosed with MMD by CTA/DSA, (II) were aged ≥18 years, and (III) received treatment and follow-up at Renmin Hospital of Wuhan University. Patients were excluded if (I) they had other serious cardiovascular and cerebrovascular diseases and/or (II) if key clinical data were missing. The cohort’s ages ranged from 19 to 68 years. After excluding patients who underwent conservative or nonrevascularization treatment, we collected relevant clinical data for 233 cases of MMD who accepted cerebral revascularization. Both clinical and perfusion imaging data for these patients were retrospectively analyzed, and the outcomes of 217 patients were followed up via phone or at the clinic. The remaining 16 patients were lost to follow-up, which meant that these patients were excluded in the analysis of follow-up data. Diagnostic criteria were developed based on the Japanese Research Committee’s 2012 Pathology and Treatment of Spontaneous Occlusion of the Circle of Willis guidelines for the diagnosis and treatment of MMD (9). For the same patient, the ratio of cerebral perfusion on the operative side to the contralateral side can accurately reflect changes in cerebral hemodynamics after surgery. Therefore, we did not individually analyze the hemispheres but rather compared the CTP values between the hemispheres of the same person. However, the limitation of this analytical method is that the cerebral hemodynamics of the nonsurgical side may also change after revascularization, but the amount of change should be small. In all 217 patients, CTP was reviewed within 1 year following the bypass.

Figure 1 Flowchart of patient enrollment and grouping. MMD, moyamoya disease; CTP, computed tomography perfusion.

Revascularization modalities

Each patient only received 1 bypass operation. Revascularization procedures included indirect bypass or indirect combined with direct bypass. There were several criteria for surgery, such as transient ischemic attacks and infarcts, severe stenosis of the internal carotid artery or its branches, and an impaired cerebrovascular reserve or cerebral hemorrhage. Neurosurgeons make personalized treatment plans according to the patient’s condition. We evaluated the condition of patients before and during the surgery. Combined revascularization was the first choice when patients had suitable donor or recipient arteries. We confirmed the patency of anastomosed arteries 1–3 days after revascularization by CTA.

Patient groups

Patients with MMD who underwent both STA-MCA and indirect bypass were included in the combined group. And patients who received only indirect bypass were included in the indirect group. A separate method of grouping was adopted to include all patients with MMD and diabetes who had undergone arbitrary bypass surgery in the diabetic group. These were also stratified into either hypertensive or nonhypertensive groups depending on whether or not they had hypertension.

Outcome measures

The examined outcome measures included postoperative complications and neurological status at discharge and at the latest follow-up. All patients who showed neurological changes underwent additional radiographic appraisal by means of computed tomography (CT) or magnetic resonance imaging (MRI) to preclude postoperative ischemic or hemorrhagic complications. Patients’ data, including their gender, age, and risk factors, among others, were retrospectively collected from the medical records and neurosurgical database. Cerebral hyperperfusion syndrome (CHS) was characterized by extreme migraines, seizures, and new neurological deficiencies after the operation. CHS was also characterized by the absence of clear hematomas and the absence of distinct, intense areas of dead tissue on the cerebral MRI or/and CT images (10). We identified diabetes mellitus based on the demonstrative models from the Chinese Rules for the Counteraction and Treatment of Type 2 Diabetes Mellitus (11). A patient was considered to have diabetes mellitus if they had a period discovery of plasma glucose level ≥11.1 mmol·L−1, fasting blood glucose (FBG) ≥7.0 mmol·L−1, or oral glucose resistance test (OGTT) 2 h glucose ≥11.1 mmol·L−1. Hemoglobin A1c (HbA1c) was used to stage diabetes (12). For stage 1, HbA1c was 5.7–6.5%. For stage 2, HbA1c was 6.5–9.0%. For stage 3, HbA1c was above 9.0%. For stage 4, HbA1c was 12% and/or the patient had a diabetic emergency. In our study, we grouped stages 1 and 2 into a new category called Stage I, while we groups stages 3 and 4 into a new category called State II. Good glucose control during the perioperative period meant a fasting plasma glucose level of less than 140 mg/dL (7.8 mmol/L) (13). We diagnosed hypertension using the diagnostic criteria from the 2020 International Society of Hypertension (ISH) Global Hypertension Practice Guidelines (14). The ISH designated an office blood pressure reading of more than 140/90 mmHg as hypertensive. All patients were followed up at the clinic for a modified Rankin Scale (mRS) score, with a mean follow-up time of 48.3±12.5 months. In our study, we grouped mRS 0, 1 and 2 into a new category called mRS I, while we groups mRS 3, 4 and 5 into a new category called mRS II.

Imaging protocols and CTP values

Patients underwent CTP 1 month prior to surgery and were reviewed within 1 year after surgery. Assessment of cerebral perfusion was performed by 2 investigators. CTP values were investigated independently at a workstation using a CT program (GE CT perfusion V. 4.4.2; program: AW Volume Offer 2); following this, the blood volume (CBV), cerebral blood stream (CBF), time to peak (TTP), and mean travel time (MTT) were determined. Two experienced investigators manually delineated regions of interest (ROIs). ROIs were defined in the brain tissue adjacent to the hemorrhagic foci for patients who exhibited simple intraventricular hemorrhage. We set the same pre- and postoperative ROIs by controlling the length and width of the ROIs, the distance from the midline to the ROIs, and the distance from the front of the frontal lobe to the ROIs. Notably, bleeding, calcification, and large vessel passages were not involved in the ROIs. Contralateral mirror ROIs were obtained using a mirror surface. Representative imaging data from 2 typical patients are shown in Figures 2,3. CTP values included CBF, CBV, MTT, and TTP. Moreover, we also measured differences in brain perfusion values before and after surgery. We defined the relative CTP values (rCTP) as the ratio of CTP values on the surgical side to those on the other side, while δCTP values were defined as the ratio of postoperative rCTP values to preoperative rCTP values. The respective formulae were as follows: rCTP=surgical side CTP value/contralateral mirroring areas CTP value, δCTP=post-rCTP/pre-rCTP.

Figure 2 Typical surgical case of MMD. (A,B) The preoperative positive image and lateral image of DSA. The left internal carotid artery is occluded and has a terminal smoky vessel. Spontaneous anastomotic angiogenesis can be observed in the intracranial and extracranial vessels. (C,D) Postoperative CTA showing good anastomosis of the left middle cerebral artery with intracranial vessels. (E and H) Preoperative CTP indicating poorer cerebral perfusion in the left hemisphere than in the right. (E) Preoperative CBF. (F) Preoperative CBV. (G) Preoperative MTT. (H) Preoperative TTP. (I-L) Postoperative CTP showing cerebral blood perfusion improved significantly, especially on the left side. (I) Postoperative CBF. (J) Postoperative CBV. (K) Postoperative MTT. (L) Postoperative TTP. δCTP = post-rCTP/pre-rCTP. MMD, moyamoya disease; DSA, digital subtraction angiography; CTA, computed tomography angiography; CTP, computed tomography perfusion; CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak.
Figure 3 Typical surgical case of moyamoya syndrome. (A,B) The preoperative positive image and lateral image of DSA. The right internal carotid artery is occluded and has a terminal smoky vessel. Spontaneous anastomotic angiogenesis can be observed in the intracranial and extracranial vessels. (C,D) Postoperative CTA showing good anastomosis of the right middle cerebral artery with intracranial vessels. (E-H) Preoperative CTP indicating poorer cerebral perfusion in the right hemisphere than in the left. (E) Preoperative CBF. (F) Preoperative CBV. (G) Preoperative MTT. (H) Preoperative TTP. (I-L) Postoperative CTP showing that cerebral blood perfusion improved significantly, especially on the right side. (I) Postoperative CBF. (J) Postoperative CBV. (K) Postoperative MTT. (L) Postoperative TTP. δCTP=post-rCTP/pre-rCTP. DSA, digital subtraction angiography; CTA, computed tomography angiography; CTP, computed tomography perfusion; CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak.

Statistical analysis

All statistical analyses were performed using SPSS for Windows, version 23.0 (IBM Corp.). According to the results of the previous research group pretest, we assumed respectively that the average δMTT detected by the joint group and the indirect group could reach 0.6 and 0.7. The standard deviation was set to 0.2, the β equaled 0.2, the grasp (power = 1−β) equaled 80%, and the bilateral α of the significance level was 0.05. These values were calculated according to the shedding rate of 20%, using PASS 11.0 software (NCSS LLC). Finally, 78 cases were included in each group, with a total of 156 cases in the combined and indirect groups. Data were first tested for normality using the 1-sample Kolmogorov-Smirnov test, and those conforming to a normal distribution are expressed as the mean ± standard deviation. On the other hand, data that were not normally distributed are expressed as median (interquartile range). Differences between 2 groups were analyzed using the chi-square test or the continuity correction of Pearson chi-square tests for categorical data. Otherwise, the Fisher exact test was applied. Continuous variables were analyzed via a t test. Differences in pre- and postoperative CTP values between 2 groups were assessed using a paired t test (normal distribution) or a nonparametric t test (skewed distribution). Data with P values less than 0.05 were considered statistically significant.


Results

Baseline characteristics

We found no statistically significant differences in the baseline characteristics of age, gender, types of stroke, early symptoms, Suzuki stage, history of hypertension, history of diabetes mellitus, history of hyperlipidemia, or hospitalization times between patients in the indirect and combined groups (Table 1). Notably, 64 out of the 233 patients (27.5%) received indirect revascularization. The mean ages of patients in the indirect and combined groups were 46.06±10.19 and 47.23±11.08 years, respectively, and these were not significantly different (P=0.464).

Table 1

Demographic and baseline characteristics of the study population in the indirect group and the combined group

Characteristics Indirect group, n=64 Combined group, n=169 P value
Age (years) 46.06±10.19 47.23±11.08 0.464
Gender (female) 36 (56.3%) 97 (57.4%) 0.875
Type of stroke 0.907
   Ischemic 48 (75%) 128 (75.7%)
   Hemorrhagic 16 (25%) 41 (24.3%)
Early symptoms 0.850
   Giddiness/headache/numbness of limb 36 (56.3%) 90 (53.3%)
   Focal neurological deficits* 24 (37.5%) 70 (41.4%)
   Decreased level of consciousness 4 (6.2%) 9 (5.3%)
Suzuki stage 0.479
   Suzuki 1 2 (3.1%) 5 (2.9%)
   Suzuki 2 4 (6.3%) 9 (5.3%)
   Suzuki 3 21 (32.8%) 66 (39.1%)
   Suzuki 4 21 (32.8%) 63 (37.3%)
   Suzuki 5 11 (17.2%) 13 (7.7%)
   Suzuki 6 5 (7.8%) 13 (7.7%)
History of hypertension 33 (51.6%) 83 (49.1%) 0.738
History of diabetes mellitus 12 (18.8%) 35 (20.7%) 0.739
History of hyperlipidemia 8 (12.5%) 27 (16.0%) 0.507
Hospitalization time (days) 28.63±8.30 28.98±9.28 0.787

Data are presented as mean ± standard deviation or n (%). *, focal neurological deficits, including muscle weakness, aphasia, blurred vision, and memory loss.

Clinical outcomes

Similarly, no statistically significant differences were observed in the clinical outcomes between patients in the indirect and combined groups (Table 2). Notably, none of the 233 patients included in this study had serious postoperative complications. Although some complications resulted from transient hemodynamic changes after revascularization, none of the complications affected long-term cerebral hemodynamics. Moreover, there were no statistically significant differences in the mRS at discharge (P=0.142) or mRS at follow-up (P=0.066) between patients in the indirect and combined groups. Even though there was no statistical significance, we found a higher rate of patients with mRS 3–5 in the indirect group than in the combined group.

Table 2

Clinical outcomes in the indirect group vs. the combined group

Clinical outcomes Indirect group, n=64 Combined group, n=169 Statistical data
χ2 P value
Improvement of symptoms 52 (81.3%) 130 (76.9%) 0.508 0.476
mRS at discharge II (n=233) 16 (25%) 28 (16.6%) 2.155 0.142
mRS at follow-up II (n=217) 12 (21.4%) 18 (10.7%) 3.390 0.066
Postoperative cerebral infarction 8 (12.5%) 15 (8.9%) 0.685 0.408
Postoperative epilepsy 8 (12.5%) 13 (7.7%) 1.308 0.253
Postoperative hyperperfusion syndrome 4 (6.3%) 7 (4.1%) 0.110 0.498

The mRS II represents scores of 3, 4, and 5. Data are presented as numbers. mRS, modified Rankin Scale.

Comparison in CTP values between the indirect vs. combined groups

Different surgical methods had a similar effect on the improvement of postoperative cerebral hemodynamics in patients with MMD (Table 3). δCBV values were significantly higher in the combined group [1.01 (0.87–1.75)] relative to those in the indirect group [1.34 (1.01–1.63); P=0.027]. Particularly, we found no significant differences in the δCBF (1.67±0.40 vs. 1.91±2.74; P=0.514), δMTT [0.58 (0.43–0.82) vs. 0.68 (0.49–0.84); P=0.291], or δTTP [0.84 (0.78–0.88) vs. 0.79 (0.71–0.99); P=0.538] between the indirect and combined groups.

Table 3

δCTP values in the indirect group vs. the combined group

CTP values Indirect group, n=56 Combined group, n=161 P value
δCBF 1.67±0.40 1.91±2.74 0.514
δCBV 1.01 (0.87–1.75) 1.34 (1.01–1.63) 0.027
δMTT 0.58 (0.43–0.82) 0.68 (0.49–0.84) 0.291
δTTP 0.84 (0.78–0.88) 0.79 (0.71–0.99) 0.538

Data are presented as mean ± standard deviation or median (interquartile range). δCTP = post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak.

Comparison between pre-CTP values and post-CTP values in the combined group

We verified that the CTP value could be used as an index to evaluate cerebral hemodynamics after revascularization in patients with MMD in the combined group (Table 4). Results revealed significantly lower rCBF at preoperation [0.57 (0.48–0.70)] relative to postoperation [0.83 (0.71–0.99); P<0.001]. We also found statistically significant differences in preoperative δCBV [0.90 (0.76–1.07) vs. 1.10 (0.96–1.21); P<0.001], δMTT [1.50 (1.31–2.02) vs. 1.03 (0.86–1.22); P<0.001], and rTTP [1.60 (1.38–2.05) vs. 1.32 (1.17–1.48); P<0.001] compared to postoperative CTP values.

Table 4

Preoperative vs. postoperative comparison of CTP values of the combined group

CTP values Preoperative CTP values Postoperative CTP values P value
rCBF 0.57 (0.48–0.70) 0.83 (0.71–0.99) <0.001
rCBV 0.90 (0.76–1.07) 1.10 (0.96–1.21) <0.001
rMTT 1.50 (1.31–2.02) 1.03 (0.86–1.22) <0.001
rTTP 1.60 (1.38–2.05) 1.32 (1.17–1.48) <0.001

Data are presented as median (interquartile range). CTP, computed tomography perfusion; CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak.

Comparison between pre-CTP values and post-CTP values in the indirect group

We verified that the CTP values could be used as an indicator to evaluate cerebral hemodynamics after revascularization in patients with MMD in the indirect group (Table 5). Results revealed significantly lower rCBF preoperation [0.55 (0.45–0.69)] relative to postoperation [0.91 (0.71–1.18); P<0.001]. We also found statistically significant differences in preoperative δCBV [0.92 (0.79–1.26) vs. 1.14 (0.89–1.38); P=0.001], δMTT [1.64 (1.37–2.13) vs. 1.01 (0.77–1.27); P<0.001], and rTTP [1.31 (1.21–1.35) vs. 1.06 (1.01–1.12); P<0.001] compared to postoperative CTP values.

Table 5

Preoperative vs. postoperative comparison of CTP values of the indirect group

CTP values Preoperative CTP values Postoperative CTP values P value
rCBF 0.55 (0.45–0.69) 0.91 (0.71–1.18) <0.001
rCBV 0.92 (0.79–1.26) 1.14 (0.89–1.38) 0.001
rMTT 1.64 (1.37–2.13) 1.01 (0.77–1.27) <0.001
rTTP 1.31 (1.21–1.35) 1.06 (1.01–1.12) <0.001

Data are presented as median (interquartile range). CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Comparison in δCTP values between the diabetic and nondiabetic groups

To avoid bias caused by the surgical approach, we first analyzed CTP values in the combined group. Cerebral hemodynamics were significantly improved in patients with MMD and diabetes after revascularization relative to those without diabetes (Table 6; Figure 4). Notably, δMTT values were significantly lower in the diabetic group (0.49 (0.35–0.70)) relative to those in the nondiabetic group [0.72 (0.52–0.87); P<0.001]. On the other hand, we found no statistically significant differences in δCBF [1.52 (1.13–2.00) vs. 1.41 (1.17–1.67); P=0.644], δCBV (1.21±0.45 vs. 1.36±0.48; P=0.112), or δTTP [0.77 (0.71–1.01) vs. 0.79 (0.70–0.98); P=0.948] between patients in the diabetic and nondiabetic groups. We also analyzed CTP values from the indirect group and found consistent results (Table 7; Figure 5). We found statistically significant differences in δMTT [0.41 (0.31–0.45) vs. 0.58 (0.48–0.81); P<0.001] between patients in the stage I and stage II groups (Table 8). We also found statistically significant differences in δMTT [0.36 (0.25–0.43) vs. 0.54 (0.47–0.79); P<0.001] between patients in the good glucose control and bad glucose control groups (Table 9).

Table 6

δCTP values in the diabetic group vs. the nondiabetic group of the combined group

CTP values Diabetic group, n=36 Nondiabetic group, n=125 Statistical data
t P value
δCBF 1.52 (1.13–2.00) 1.41 (1.17–1.67) 0.644
δCBV 1.21±0.45 1.36±0.48 1.596 0.112
δMTT 0.49 (0.35–0.70) 0.72 (0.52–0.87) <0.001
δTTP 0.77 (0.71–1.01) 0.79 (0.70–0.98) 0.948

Data are presented as mean ± standard deviation or median (interquartile range). δCTP = post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Figure 4 δCTP values in the diabetic group vs. the nondiabetic group of the combined group. δCTP=post-rCTP/pre-rCTP. ***P<0.001. CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak; CTP, computed tomography perfusion.

Table 7

δCTP values in the diabetic group vs. the nondiabetic group of the indirect group

CTP values Diabetic group, n=9 Nondiabetic group, n=47 Statistical data
t P value
δCBF 1.90±0.37 1.62±0.40 1.895 0.064
δCBV 1.13 (1.09–1.21) 0.93 (0.84–1.93) 0.304
δMTT 0.49 (0.35–0.46) 0.76 (0.44–0.84) 0.007
δTTP 0.84±0.03 0.82±0.07 1.254 0.221

Data are presented as mean ± standard deviation or median (interquartile range). δCTP=post-rCTP/pre- rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Figure 5 δCTP values in the diabetic group vs. the nondiabetic group of the indirect group. δCTP = post-rCTP/pre-rCTP. **P<0.01. CBF, cerebral blood stream; CBV, cerebral blood volume; MTT, mean travel time; TTP, time to peak; CTP, computed tomography perfusion.

Table 8

δCTP values in the stage I group vs. the stage II group of the diabetic group

CTP values Stage I group, n=26 Stage II group, n=19 Statistical data
t P value
δCBF 1.52 (1.08–2.06) 1.69 (1.33–2.00) 0.476
δCBV 1.12±0.29 1.31±0.51 1.583 0.121
δMTT 0.41 (0.31–0.45) 0.58 (0.48–0.81) <0.001
δTTP 0.79 (0.73–0.89) 0.88 (0.72–1.01) 0.161

Data are presented as mean ± standard deviation or median (interquartile range). δCTP=post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Table 9

δCTP values in the good glucose control group vs. the bad glucose control group of the diabetic group

CTP values Good glucose control group, n=17 Bad glucose control group, n=28 Statistical data
t P value
δCBF 1.55 (1.17–2.30) 1.65 (1.24–1.87) 0.640
δCBV 1.17±0.25 1.21±0.48 0.368 0.714
δMTT 0.36 (0.25–0.43) 0.54 (0.47–0.79) <0.001
δTTP 0.76 (0.72–0.85) 0.88 (0.73–1.00) 0.087

Data are presented as mean ± standard deviation or median (interquartile range). δCTP=post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Comparison in δCTP values between the hypertensive and nonhypertensive groups

To avoid bias caused by the surgical approach, we first analyzed CTP values in the combined group. Revascularization improved the cerebral hemodynamics of hypertensive MMD patients to a greater degree than it did in those without hypertension (Table 10; Figure 6). Particularly, δCBV values of patients in the hypertensive group (1.41±0.47) were significantly lower than those in the non-hypertensive group (1.25±0.47; P=0.027). However, we found no statistically significant differences in δCBF [1.49 (1.25–1.83) vs. 1.38 (1.12–1.72); P=0.097], δMTT [0.68 (0.44–0.85) vs. 0.69 (0.51–0.83); P=0.555], or δTTP [0.78 (0.69–0.98) vs. 0.80 (0.71–0.99); P=0.374] between patients in the hypertensive and nonhypertensive groups. We also analyzed CTP values from the indirect group and found consistent results (Table 11; Figure 7). We divided patients into 2 groups based on whether they were taking CCB or not. We found statistically significant differences in δCBV [1.46 (1.10–1.83) vs. 1.12 (0.93–1.54); P=0.011] between patients in the calcium channel antagonist and the other groups (Table 12).

Table 10

δCTP values in the hypertensive group vs. the nonhypertensive group of the combined group

CTP values Hypertensive group, n=79 Nonhypertensive group, n=82 Statistical data
t P value
δCBF 1.49 (1.25–1.83) 1.38 (1.12–1.72) 0.097
δCBV 1.41±0.47 1.25±0.47 2.225 0.027
δMTT 0.68 (0.44–0.85) 0.69 (0.51–0.83) 0.555
δTTP 0.78 (0.69–0.98) 0.80 (0.71–0.99) 0.374

Data are presented as mean ± standard deviation or median (interquartile range). δCTP=post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Figure 6 δCTP values in the hypertensive group vs. the nonhypertensive group of the combined group. δCTP = post-rCTP/pre-rCTP. *P<0.05. CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time; CTP, computed tomography perfusion.

Table 11

δCTP values in the hypertensive group vs. the nonhypertensive group of the indirect group

CTP values Hypertensive group, n=31 Nonhypertensive group, n=25 Statistical data
t P value
δCBF 1.74±0.33 1.58±0.47 1.485 0.145
δCBV 1.18 (0.93–2.06) 0.90 (0.84–1.01) 0.002
δMTT 0.48 (0.43–0.82) 0.76 (0.42–0.81) 0.692
δTTP 0.82±0.07 0.84±0.06 1.148 0.256

Data are presented as mean ± standard deviation or median (interquartile range). δCTP=post-rCTP/pre-rCTP. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Figure 7 δCTP values in the hypertensive group vs. the nonhypertensive group of the indirect group. δCTP=post-rCTP/pre-rCTP. **P<0.01. CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.

Table 12

δCTP values in the CCB group vs. non-CCB group of the hypertensive group

CTP values CCB group, n=74 Non-CCB group, n=36 P value
δCBF 1.60 (1.35–1.96) 1.62 (1.21–1.88) 0.716
δCBV 1.46 (1.10–1.83) 1.12 (0.93–1.54) 0.011
δMTT 0.69 (0.44–0.86) 0.65 (0.43–0.83) 0.669
δTTP 0.80 (0.71–0.94) 0.81 (0.71–0.90) 0.738

Data are presented as median (interquartile range). δCTP=post-rCTP/pre-rCTP. CCB, calcium channel blocker; CTP, computed tomography perfusion; CBV, cerebral blood volume; CBF, cerebral blood stream; TTP, time to peak; MTT, mean travel time.


Discussion

Results of the present study revealed that an indirect bypass has similar effects to a combined bypass regarding the postoperative clinical prognosis of patients with MMD. In addition, our findings confirmed that CTP values could be used to evaluate cerebral hemodynamic improvement after revascularization. Interestingly, we found that patients with MMD who underwent revascularization had significantly improved cerebral hemodynamics in the presence of both diabetes and hypertension. These results may be attributed to the patients’ past hyperglycemic status, perioperative hyperglycemic level, or history of hypoglycemic drug use, as well as their prior hypertension, perioperative hypertension level, or history of use of antihypertensive medication. We hypothesized that CCB might promote the improvement of postoperative cerebral hemodynamics in patients with MMD. However, this requires further validation using multicenter cohort studies or randomized controlled clinical trials with larger sample sizes.

It has been established that CHS occurs only after direct revascularization or combined revascularization. However, this study also found 4 cases of CHS after indirect revascularization, which is in line with a few other studies (15,16). Some possible theories for explaining this are as follows. The focal vasodilating effect can be caused by vascular endothelial growth factor and platelet-derived growth factor or neuropeptides (17,18). The subsequent increase in CBF can be a result of focal neuronal excitability, such as insulinlike growth factor 1 and fibroblast growth factor (19,20). However, further research is needed to verify these hypotheses and explore the specific causes.

Revascularization is the most effective treatment therapy for MMD (3). Gradual hemodynamic changes can be observed after indirect revascularization, while spontaneous hemodynamic changes can be obtained after direct bypass surgery. Through a combination of indirect revascularization with direct bypass surgery, vascularization can change either immediately or gradually. When comparing the effect of combined bypass surgery with indirect revascularization, we wanted to evaluate the effect of direct bypass in revascularization. Several studies have suggested that factors such as the patients’ general situation, clinical and imaging characteristics, hemodynamics, metabolic assessment results, and surgical methods that their surgeon is proficient in should be taken into account during surgery (3). Patients with MMD may have a better prognosis after combined bypass surgery (3). Additional evidence suggests that surgeons should protect the spontaneous growth of intracranial and extracranial anastomotic vessels as much as possible because different procedures are equally safe and effective (5). Further, neurosurgeons should use their own experience and strengths to select the most appropriate surgical method for individual treatment. More importantly, they should not only focus on perioperative management but also on the prevention of postoperative complications, which can improve the long-term neurological function of patients (21,22). Further multicenter large-scale prospective randomized controlled clinical trials are needed to verify whether there is a safer and more effective surgical combination or a more updated surgical method for patients with MMD.

The main imaging techniques used to evaluate cerebral hemodynamics include polyethylene terephthalate (PET), single-photon emission computed tomography (SPECT), xenon-enhanced CT, dynamic perfusion CT, magnetic resonance imaging (MRI) with dynamic susceptibility contrast and with arterial spin labeling (ASL), and Doppler ultrasonography (23). SPECT studies have poor spatial resolution, and rCBF values are generated through statistical comparisons from normal controls to represent areas of abnormal perfusion (24). Studies show that PET can be used to assess cerebral oxygen metabolism, rOEF (which represents the fraction of O2 consumed by the brain), and regional CBV (25,26). The main disadvantage of PET imaging is that it is much less available and relatively more costly than other methods (23). Xenon-enhanced CT has been widely used to study MMD for over 30 years (27). The main disadvantages are that it has a high cost, has a relatively long acquisition time, is prone to motion artifacts, and cannot be tolerated by certain patients who cannot endure inhaling xenon during the procedure (23). The ASL MRI modality uses endogenous water as a tracer, so it requires no contrast media (28). Advantages include the ability to repeat the study, the lack of intravenous contrast, the lack of radiation, and the ability to compare CBF values within and between patient examinations. The main disadvantage of using this technique in studying MMD is that the delayed arterial time through the collateral pathway may lead to significant underestimation of CBF and errors due to labeling agent that remains in feeding vessels rather than being extracted into the brain parenchyma (23). Doppler ultrasonography is a noninvasive technique that is very useful and can be performed at the bedside. However, it is very dependent on operators and is prone to inaccurate results (29). The advantages of CTP include the large number of CT scanners installed around the world, the high speed of examination, and the lack of obvious contraindications. Its disadvantages include the fact that radiation doses and iodized contrast agents may not be suitable for some patients. You can easily generate CBF, CBV, and MTT mappings through AW Volume.

CTP, a noninvasive method for examining cerebral blood perfusion, has been shown to effectively evaluate cerebral hemodynamics in patients with cerebrovascular diseases (4,30,31). Notably, age, sex, and clinical types were found to be potential risk factors for cerebral perfusion changes in adult patients with MMD. A previous study demonstrated that chronic CBV of patients with hemorrhagic MMD after revascularization significantly reduced and was relatively stable, while both MTT and TTP were shortened to varying degrees, although there was no significant change in CBF (32). The location and extent of cerebral ischemia can also be determined using CTP, and CTP can better ascertain whether cerebral perfusion is improved after vascular remodeling than other methods (4).

Bower (33) found that diagnosis of the MMD syndrome was markedly delayed because clinicians believed the patients’ symptoms were caused by low blood sugar. For example, in some patients with nonfocal neurological symptoms, MMD syndrome is not diagnosed until the patient develops focal neurological symptoms. Some studies demonstrated that patients with MMD complicated with type 2 diabetes mellitus (T2DM) had a better prognosis and more collateral circulation after EDAS (34). However, the factors influencing collateral vasculogenesis in patients with T2DM complicated with MMD remain unclear, necessitating further research exploration. Results in one study further revealed more frequent collateral formation in the diabetic group, while a wider range of collateral (more than one-third of the middle cerebral artery distribution) was also detected in patients with T2DM. Therefore, the authors speculated that T2DM could promote the formation of lateral branches of pia meningeal vessels in patients with chronic cerebral ischemia, such as MMD (34). This was consistent with the results of our present study. Previous studies also indicate that diabetes-induced neovascularization can generate varying effects in different organ systems. Diabetic retinopathy is characterized by excessive angiogenesis and impaired coronary and peripheral circulation angiogenesis (35-38). These studies suggest that patients with MMD and diabetes have more developed collateral circulation, which may explain the observed reduction in MTT. In the present study, we hypothesized that high perioperative blood glucose levels observed in patients with MMD could improve their hemodynamics by promoting neovascularization.

Although numerous studies have shown that hypertension is a risk factor for both MMD bleeding and postoperative rebleeding, none have examined whether hypertension can improve patient prognosis. To this end, we hypothesized that antihypertensive drugs may play a key role in the influence of postoperative hemodynamic improvement (22). For example, nicardipine was found to have beneficial effects on cerebral hemodynamics, where it could prevent ischemic sequelae by optimizing existing collateral circulation (39). Moreover, the use of verapamil, a calcium channel antagonist, reportedly improved acute neurological dysfunction in patients with MMD (40), while flunarizine was found to improve cerebral perfusion after unilateral MMD (41,42). Taken together, the findings from these studies demonstrate that CCB can improve the prognosis of patients with MDD, which was consistent with our results.

The limitations of this study were that the patient source was a single center, and this study only examined adult patients with MMD. Therefore, prospective clinical studies of large multicenter samples and related studies of childhood MMD are needed in the future. Nonetheless, this single-center study used personalized treatment for patients according to the latest guidelines. Therefore, these results may be used as a reference for other medical centers.


Conclusions

The results of the present study demonstrated that diabetes and CCB effectively improve hemodynamics in patients with MMD after bypass as evidenced by the CTP values. Notably, δMTT values revealed downward trends when patients had diabetes mellitus and δCBV values revealed rising trends when patients have had hypertension while CTP values could be used as a prognostic indicator. Furthermore, it is clear that bypass improved cerebral hemodynamics in patients with MMD, although the effect of different surgical types on prognosis was the same.


Acknowledgments

Funding: This research was funded by the National Natural Science Foundation of China (Nos. 81971870 and 82172173).


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://qims.amegroups.com/article/view/10.21037/qims-22-407/rc

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-407/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This study protocol was reviewed and approved by the Clinical Research Ethics Committee of Renmin Hospital of Wuhan University (No. WDRY2021-K070). An informed consent exemption was obtained for this study by the Clinical Research Ethics Committee of Renmin Hospital of Wuhan University.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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Cite this article as: Han S, Cai L, Tian Q, Wei H, Wang G, Wang J, He P, Liao J, Zhang S, Chen Q, Li M. Diabetes or calcium channel blocker contribute to cerebral hemodynamics after bypass surgery in adult patients with moyamoya disease. Quant Imaging Med Surg 2023;13(1):293-308. doi: 10.21037/qims-22-407

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