Neuro · Vol. 4, No. 1 · 2017 · pp. 1–10 · e-ISSN 2377-1607

New Criteria Reduce Inter-Observer Variability in Chronic Cerebrospinal Venous Insufficiency: A Case Control Study

Massimiliano Farina, Eugenio Novelli, Raffaello Pagani

Director of Phlebolymphologic Diseases Centre, Monza Polyclinic, Via Amati 111, Monza 20900, ItalyItaly
Biostatistics Unit, San Gaudenzio Clinic (Monza Polyclinic Group), Novara 28100, ItalyItaly
Angiology Unit, Villa Cimarosa Medical Centre, Milan 20144, ItalyItaly

DOI: https://doi.org/10.17140/noj-4-123 · Published 2017-03-03 · Licence: https://creativecommons.org/licenses/by/4.0 · © 2017 The Author(s)

Abstract

Background : The pathophysiological mechanism defined “chronic cerebrospinal venous insufficiency” (CCSVI) diagnosed using Zamboni criteria has raised a heated debate about possible correlations with several neurological disorders, but also on subjectivity of these ultrasonographic criteria used for its diagnosis. Although in 2011 new criteria have been introduced to reduce the high inter-observer variability only two studies were conducted according to the new investigation protocol. Therefore, we wanted to verify the impact of the revised protocol and its ability to meet the demand for reduction of the high heterogeneity in inter-observer agreement. Patients and Methods: Between June 2010 and June 2014, 1020 subjects (693 MS patients and 327 HCs) were prospectively screened for CCSVI by two investigators, blinded regarding the observed subject. After exclusion of discordant cases between the two examiners, 630 patients with clinically defined MS and 10 patients with CIS (clinically isolated syndrome) were matched by gender (male 38.7%, male/female 248/392) and age (mean age 44.0 years, range 18.5-77.0 years) with 315 HCs (male 43.2%, male/female 136/179-mean age 46.5 years, range 19.8-79.9 years). Results : The prevalence of CCSVI in MS subjects before the introduction of the new ECD criteria (94.3%) was observed to be significantly reduced (83.4%) after their introduction (p<0.001). In MS patients, the strength of inter-observer agreement changed from moderate (k=0.532) to good (k=0.761) before/after the revision. B-mode analysis detected only 65.7% of valvular defects. Its diagnostic accuracy was 88.6% (95% CI: 84.0%-93.2%), with a sensitivity of 83.5% (95% CI: 75.2%-89.9%), a specificity of 96.0% (95% CI: 88.8%-99.2%), a positive predictive value of 96.8% (95% CI: 91.0%-99.3%) and a negative predictive value of 80.0% (95% CI: 70.3%-87.7%). Conclusions : The new ECD criteria introduced by the revised protocol ensure, at this time, a substantial reduction of the inter-observer variability. Under this perspective, M-mode analysis is essential for its ability to identify the valvular abnormalities frequently not detectable by Bmode analysis.

Keywords: CCSVI; Doppler ultrasound; Multiple sclerosis; Venous malformation; Venous reflux; Venous syndromes

Introduction

colleagues as a component of the pathophysiology of multiple sclerosis (MS), immediately raising many questions about the cause of MS, and how it may be treated based on the theory of CCSVI, especially not to compromise patient safety during the verification of a research hypothesis.1,2 Some authors have suggested that impaired extracranial venous drainage secondary to valvular defects and/or wall miopragia or extrinsic muscular compression, particularly in the internal jugular veins (IJVs), azygos and vertebral veins (VVs), would cause endothelial inflammation, suggesting a role for perivenous iron deposition in the autoimmune mechanisms responsible for this demyelinating 1,3,4 disorder. Likewise, dysfunctions of autonomic nervous system could also be involved by altering postural control of arterial inflow and venous outflow.5 On the other side, some reports of scientific societies claim that literature data are insufficient to establish the importance of CCSVI as a major factor in MS pathogenesis. In the same way as a result of limited research would be questioned the effectiveness of the angioplasty procedure.6 In this state of uncertainty, not comforted by conflicting MRI studies, was emphasized the need to establish the indication for surgery according to individual indications, after a detailed discussion between physician and patient.

So far, the diagnosis of CCSVI has been obtained with echo-colour Doppler (ECD) by means of detecting at least two of the Zamboni criteria according to the revised protocol of the International Society for Neurovascular Disease (ISNVD) of 2011 (Table 1).10 As recently reported in a meta-analysis by Zwischenberger, from 2005 through 2013, 13 studies evaluated the prevalence of CCSVI in 1141 patients with MS and 738 matched healthy controls (HCs).11 After removing four outlying studies to improve homogeneity, the analysis of the remaining studies showed a significant correlation between CCSVI and MS (OR 1.885, p<0.0001). In another meta-analysis, Tsivgoulis identified 19 eligible studies involving 1250 MS patients and

Table 1. Five Zamboni Criteria According to the Revised Protocol of the International Society for Neurovascular Disease.

Criteria Old

Reflux constantly present in IJVs and/or VVs with the head at 0° and 1. +90° (flow reversal from its physiological direction for a duration of >0.88 s)

2.

Reflux in the DCVs (>0.5 s)

3. High resolution B-mode evidence of proximal IJV stenoses (CSA of IJV in the supine position ≤0.3 cm )

4. Flow not Doppler detectable in the IJVs and/or VVs despite numerous deep inspirations, with the head positioned at 0° and +90°

Reverted postural control of the main cerebral venous outflow path-

5.

ways (negative ∆CSA value) CSA=cross sectional area; DCVs=deep cerebral veins; ∆CSA=obtained by subtracting the CSA measured in the supine from that in the sitting position; IJV=internal jugular vein; IJVs=internal jugular veins; VV=vertebral vein; VVs=vertebral veins.

899 HCs, showing a significant association (OR 8.35, p<0.001) between CCSVI and MS but considerable heterogeneity across 2 12 the studies (I2=80.1%).12 This fact has been mainly ascribed to the involvement of the authors in the new endovascular treat- 1,2 ment of CCSVI. Indeed, a most conservative sensitivity analysis combining different exclusion criteria showed no association of CCSVI with MS (OR 1.35; 95% CI 0.62-2.93; p=0.453) without any heterogeneity (I2=0%). Based on these findings, some authors have claimed the suspension of angioplasty procedures 13,14 of the extracranial veins. Although, ECD studies are greatly influenced depending on the individual patients (different ages, differences in clinical forms and disability, physiological factors such as head position, hydration status and different degrees of cervical muscle relaxation and breathing) and operators, showing high inter-observer variability for untrained examiners,15 only two studies have been conducted with the new ISNVD 16,17 criteria. In fact, apart from these only exceptions, all studies regarding CCSVI published after the revised protocol in 2011 continued to adopt the old criteria, affecting the results of the meta-analysis, because of the low agreement of the former 18-34 criteria. Also the two studies concerning the inter-observer 7-9 35-36 variability have referred to the old protocol. The aims of this study were to assess the overall prevalence of CCSVI in MS patients and in matched voluntary HCs observed between 2010 and 2014, to compare this prevalence, diagnosed by the old and new ECD criteria, in MS patients before and after the November 2011 criteria revision, and to evaluate if the new ECD criteria could reduce inter-observer variability.

Material And Methods

Patients and Controls

Between June 2010 and June 2014, 1020 subjects (693 MS patients and 327 HCs) were prospectively screened for CCSVI by

New

a. Bidirectional flow in one or both of the IJVs in both postures or bidirectional flow in one position with absence of flow in the other position

b. Reversal or bidirectional flow in one or both of VVs in both positions Bidirectional flow (or reflux) in the intracranial veins and sinuses (additional criterion) a. Severe reduction of the CSA of IJV in the supine position <0.3 cm which does not increase with Valsalva manoeuvre

2 b. Intraluminal defects (webs, septa or malformed valves) combined with hemodynamic changes (increased velocity, absence of flow, reflux/bidirectional flow, etc.). M-Mode analysis may clarify the presence of defective valves (mobile or not, slightly mobile).

Absence of Doppler signal in the IJV and/or the VV, even after deep inspiration, in both sitting and supine positions or in one posture but with bidirectional flow detected in the other position A CSA of the IJV which is greater in the sitting position than in the lying position or appears almost unchanged despite change in posture

Table 2. Demographic and Clinical Characteristics of MS Patients.

Variable Female gender Age (years) Disease duration (years) Clinical subtypes

- CIS - RRMS - SPMS - PPMS

EDSS score VHISS score CCSVI score Number of positive criteria

- 0 - 1 - 2 - 3 - 4 - 5

Year of examination

- 2010 - 2011 - 2012 - 2013 - 2014

Examination according to November 2011 ECD criteria revision

- old ECD criteria - new ECD criteria CCSVI=chronic cerebrospinal venous insufficiency; EDSS=Expanded Disability Status Scale; MS=multiple sclerosis; PPMS=primary progressive multiple sclerosis; RRMS=relapsing remitting multiple sclerosis; SPMS=secondary progressive multiple sclerosis; VHISS=venous hemodynamic insufficiency severity

two experienced vascular sonographers by evaluating the presence of at least two of the Zamboni criteria. After exclusion of discordant cases between the two examiners, 630 patients with clinically defined MS (according to the 2010 revised McDonald diagnostic criteria)37 and 10 patients with CIS (clinically isolated syndrome) were matched by gender (male 38.7%, male/female 248/392) and age (mean age 44.0 years, range 18.5-77.0 years) with 315 HCs (male 43.2%, male/female 136/179-mean age 46.5 years, range 19.8-79.9 years) who were students and technical and administrative staff from our hospital. An MS specialist evaluated all the subjects by means of physical and neurological examinations, assigning disability scores according to the Kurtzke scale expanded disability status scale (EDSS). Table 2 shows the MS patients’ demographic and clinical characteristics. The investigations were performed using the standard ECD criteria for subjects examined before November 2011,whereas the new ultrasonographic criteria were used for subjects examined 1,10 there after (Table 1).1,10 The exclusion criteria from the study were previous head or neck surgery, neck swelling, severe heart disease, serious kidney and liver diseases, thrombosis of the jugular vein(s), jugular vein catheterisation, vasculitis, Behçet’s syndrome, collagen diseases, congenital cerebral malformations and congenital vascular malformations. Our Ethical Committee (Local Health Authority, Monza Brianza, Italy) approved this case-control study, and all the participants provided written informed consent.

n=640

392 (61.3%) 44.0±11.7 (18.5-77.0) 10.0±7.5 (0-40)

10 (1.6%) 416 (65.0%) 155 (24.2%) 59 (9.2%) 3.41±1.91 (0-9) 5.27±2.02 (0-12) 2.73±0.94 (0-5)

14 (2.2%) 40 (6.3%) 171 (26.7%) 304 (47.5%) 99 (15.5%) 12 (1.9%)

70 (10.9%) 419 (65.5%) 73 (11.4%) 62 (9.7%) 16 (2.5%)

477 (74.5%) 163 (25.5%)

Duplex Ultrasound Investigation

Two vascular sonographers who had undergone the same special training performed all the investigations. They were particularly experienced with venous diseases, and each one had performed approximately 10,000 ultrasound investigations per year over the past few years. Each operator recorded all the scans for subsequent reconstruction and morphological analysis. Thus, each of the two investigators, in a blind fashion regarding the observed subject, also assessed all the exams performed by the other operator. All discordant cases that emerged from this comparison were also excluded from the study. All evaluations were performed in the morning after adequate fluid intake during the 24 hours preceding the examination (500 ml upon waking before the exam) to avoid dehydration, as reported in many studies.38 The subjects were first evaluated in the supine position (0°) and then in the upright sitting (90°) position, with head in a neutral position (0° midline) placed upon a small pillow (8 cm height) to reduce in supine positionthe tone of the neck musculature.39 During the position changes, a resting condition (no voluntary muscle movements or contractions) was obtained with a proper electromechanical tiltable chair. All veins [both IJVs and VVs, deep cerebral veins (DCVs)] were evaluated in the laterocervical area of the neck and through the transtemporal and transoccipital windows, using a large amount of gel to assure perfect coupling of the transducer, according to the screen-

ing protocols for CCSVI with ultrasound and other studies. In the evaluation of DCVs (vein of Rosenthal, vein of Galen, transverse sinus, straight sinus and internal cerebral vein) the problems related to a Doppler angle of insonation close to 90° were solved by using a multi-angle Doppler system such as the Quality Doppler Processing technology (QDP). QDP helps in detecting the blood flow direction within the cerebral veins. Tocompute the cross-sectional area (CSA-mm2) of IJVs, we used an ellipsoid or continuous trace method, referring to the greatest ellipse at the end-expiratory phase. All measurements obtained were repeated 3 times, and the average of the three measurements was used for comparison. After the revised protocol, all the subjects were submitted to M-mode analysis of the IJVs to better clarify the presence of valvular defects frequently not easily identifiable with B-mode analysis (Table 1).16 B-Mode is a two-dimensional ultrasound image display composed of bright dots representing the ultrasound echoes. The brightness of each dot is determined by the amplitude of the returned echo signal. This allows for visualization and quantification of anatomical structures. The M-mode represents movement of structures over time having a good temporal resolution, so it is useful to study the movement of vessel walls and valves by detecting valve incompetence and abnormal structures. Initially a 2-D image is acquired and a single scan line is placed along the area of interest. The M-mode will then show how the structures intersected by that line move toward or away from the probe over time.Valve defects related to leaflets movement were classified as mobile, slightly mobile and not-mobile. For transcranial and extracranial scans, we used the same ECD unit (MyLabVinco, Esaote SpA, Florence, Italy) equipped with a linear and a phased array transducer probe, operating bandwidth 1-4 MHz (B-modes Frequencies, 2.0-2.5-3.3 MHz; Doppler Frequencies, 1.6-2.0-2.5 MHz) and 3-11 MHz (B-modes Frequencies, 3.5-5.0-6.6-10.0 MHz; Doppler Frequencies, 3.3-5.0 MHz). The device, supplied with software for automatic calculation of the CCSVI score and venous hemodynamic insufficiency severity score (VHISS), was upgraded in November 2011 according to the new revision of the ECD criteria.10

Statistical Analysis

Continuous variables are described as the means and standard deviations, whereas counts and percentages are used to describe qualitative variables. Inter-observer agreement between the two

Table 3. Prevalence of Zamboni Criteria and CCSVI by Disease Group (MS, HCs). CCSVI presence 586 (91.6%) 17 (5.4%) 190.23 (108.37-333.90) <0.0001 Criterion 1 289 (45.2%) 25 (7.9%) 9.55 (6.17-14.79) <0.0001 Criterion 2 585 (91.4%) 78 (24.8%) 32.32 (22.18-47.10) <0.0001 Criterion 3 573 (89.5%) 52 (16.5%) 43.26 (29.27-63.92) <0.0001 Criterion 4 221 (34.5%)

Criterion 5 82 (12.8%) CCSVI=chronic cerebrospinal venous insufficiency; HCs=healthy controls; MS=multiple sclerosis; OR=odds ratio.

10,40 sonographers was calculated with Cohen’s k statistics. The degree of concordance was considered as follows: low (0≤k≤0.4), moderate (0.4<k≤0.6), good (0.6<k≤0.8), excellent (0.8<k≤1). A frequency matching approach for gender and age was applied in this study. Correlations of CCSVI with clinical subtype, gender, age and disease duration were tested using X2 statistics. The CC- SVI exposure of cases and controls were compared to give estimates of the association between CCSVI and MS. Odds ratios (ORs) were calculated using direct computation from 2×2 tables to quantify how strongly the presence or absence of CCSVI is associated with the presence or absence of the neurological disease. Prevalence rates for each of the five Zamboni criteria were calculated. In detecting valvular defects, B-mode analysis was compared to M-Mode by the measures of diagnostic accuracy, sensitivity, specificity, positive predictive value and negative predictive value. In this comparison, the M-Mode analysis was considered as a gold standard for its capability to better clarify the presence of defective valves.

The statistical analyses were performed using SPSS software (version 14.0, SPSS Inc., Chicago, IL, USA). All 2-tailed p-values below 0.05 were considered statistically significant.

Results

The demographic and clinical characteristics of the MS patients are shown in Table 2 along with the year of the ECD examination. The patients belonged to four clinical subtypes: 416 (65.0%) were suffering from a relapsing-remitting (RR) clinical form, 155 (24.2%) from a secondary progressive (SP) form, and 59 (9.2%) from a primary progressive (PP) form and 10 (1.6%) from clinically isolated syndrome (CIS). Female gender was prevalent (61.3%), with a mean age of 44 years and a mean disease duration of 10 years. Due to the November 2011 ECD criteria revision, 74.5% of the patients were examined with the old ECD criteria and the remaining 25.5% were examined with the new criteria. After the blinded comparison of two sonographers 640/693 (92.4%) MS patients and 315/327 (96.3%) HCs were considered suitable for the study. Among these subjects, 586 MS patients (91.6%) and 17 HCs (5.4%) resulted CCSVI-positive (p<0.0001), with an OR of 190.23 (95% CI 108.37-333.90) for patients with MS compared to HCs. The prevalence of five Zamboni criteria was higher in the MS group than in the HC group

MS patients (n=640) HCs (n=315) OR (95% CI) p

0 333.17 (20.69-5364.14) <0.0001 0 93.21 (5.76-1507.97) 0.0014

Table 5. Impact of the New echo-colour Doppler Criteria.

CCSVI presence 450 CCSVI presence (without criterion 2) 334 CCSVI by clinical subtype

- CIS - RRMS 279/294 (94.9%) 98/122 (80.3%) <0.001 - SPMS 125/133 (94.0%) 19/22 (86.4%) 0.400 - PPMS 46/49 (93.9%) 10/10 (100%) 0.989

Positive by criterion

- 1 230 - 2 455 - 3 433 - 4 168 - 5 64 (13.4%) 18 (11.0%) 0.517 CCSVI=chronic cerebrospinal venous insufficiency; CIS=clinically isolated syndrome; PPMS=primary progressive multiple sclerosis; RRMS=relapsing remitting multiple sclerosis; SPMS=secondary progressive multiple sclerosis.

(p<0.001) with statistically significant ORs for each of the five criteria (Table 3).

Moreover, Table 4 shows correlations of CCSVI with clinical subtypes, gender, age and disease duration. CCSVI prevalence was equal in the different clinical subtypes (p=0.632), and no differences in CCSVI prevalence were found according to disease duration (p=0.429). By contrast, the presence of CC- SVI showed asignificant correlation with gender (p=0.002) and age group (p=0.006), with higher CCSVI prevalence observed

Table 4. Correlation of CCSVI with Clinical Subtype, Gender, Age and Disease Duration (n=640).

Variable CCSVI prevalence p Clinical subtypes

- CIS 9 (90.0%) - RRMS 377 (90.6%) 0.632 - SPMS 144 (92.7%) - PPMS 56 (94.9%)

Gender

- male 238/248 (96.0%) 0.002 - female 348/392 (88.8%)

Age

<45 years 308/345 (89.3%) 0.006 >=45 years 278/295 (94.2%)

Disease duration

<5 years 156/176 (88.6%) 5-9 years 152/164 (92.7%) 0.429 10-14 years 130/141 (92.2%) >14 years 148/159 (93.1%) CCSVI=chronic cerebrospinal venous insufficiency; CIS=clinically isolated syndrome; PPMS=primary progressive multiple sclerosis; RRMS=relapsing remitting multiple sclerosis; SPMS=secondary progressive multiple sclerosis.

Old criteria (n=477) New criteria (n=163) p

(94.3%) 136 (83.4%) <0.001 (70.0%) 96 (58.9%) 0.012

0/1 9/9 -

(48.2%) 59 (36.2%) 0.010 (95.4%) 130 (79.8%) <0.001 (90.8%) 140 (85.9%) 0.107 (35.2%) 53 (32.5%) 0.595

in males and older patients. We also found a positive correlation between the VHISS score and age (r=0.254, p<0.001), disease duration (r=0.201, p<0.001) and EDSS (r=0.287, p<0.001).

The prevalence rate of CCSVI in MS patients examined between 2010 and 2014 was compared before and after the November 2011 criteria revision, i.e., by the old and new ECD criteria (Table 5). The overall CCSVI prevalence rate changed from 94.3% with the old criteria to 83.4% with the new ones (p<0.001), and from 70% to 58.9% without considering criterion

Table 6. Distribution of Internal Jugular Vein Defective Valves (Movement Alterations) with B-Mode and M-Mode Analysis. Valve types 280 Right side Left side Total (n/%) (n/%) (n/%) - Mobile 63/22.55 27/9.6 90/32.1 - Slightly mobile 25/8.9 50/17.9 75/26.8

- Not mobile 3/1.1 16/5.7 19/6.8 - Not evaluable 49/17.5 47/16.8 96/34.3

2 (non-mandatory after ECD revision). The impact of the new ECD criteria was significant for the CCSVI diagnosis in Relapsing remitting multiple sclerosis (RRMS) patients: the prevalence rate changed from 94.9 to 80.3% (p<0.001). The prevalence of two positive criteria (criterion 1 and criterion 2) diminished significantly after the November 2011 ECD revision: criterion 1 positivity changed from 48.2% to 36.2% (p=0.010) before/after the revision, criterion 2 from 95.4% to 79.8% (p<0.001). A similar trend was observed for positivity of the third criterion (4.9% absolute reduction, p=0.107),whereas the fourth and fifth criteria did not change significantly (p=0.595; p=0.517). Table 6 shows the distribution of valvular defects (movement alterations) in subjects analyzed with the revised Protocol (B-mode vs. M-mode analysis). B-mode analysis resulted in 96 (34.3%) not evaluable valvular defects and, on the total number of evaluable valves (n=184), in 91 true positive, 72 true negative, 18 false negative and 3 false positive cases. The overall B-mode diagnostic accuracy was 88.6% (95% CI: 84.0%-93.2%), with a sensitivity of 83.5% (95% CI: 75.2%-89.9%), a specificity of 96.0% (95% CI: 88.8%-99.2%), a positive predictive value of 96.8% (95% CI: 91.0%-99.3%) and a negative predictive value of 80.0% (95% CI: 70.3%-87.7%).

In MS patients, the strength of inter-observer agreement changed from moderate (k=0.532, 95% CI 0.404-0.660) to good (k=0.761, 95%CI 0.639-0.884) before/after the revision. Finally, this agreement would have changed from good (k=0.628, 95% CI 0.536-0.720) with the intracranial criterion to excellent (k=0.830, 95% CI 0.786-0.874) without it.

Discussion

Since the first publication of Zamboni, the debate about the real meaning of the new nosological entity known as CCSVI and its relationship with MS has found researchers on diametrically opposing positions. In fact, the prevalence of CCSVI highlighted in case-control studies has ranged from 0% to 100% in MS patients and from 0% to 36% in controls. Noncontrolled studies have shown a higher prevalence. This fact sharply contrasts with the finding of significant intraluminal (septa, webs, membranes, fixed and rudimental valves, or wall stenosis) or valvular (tricuspid valves, enlarged and malposition valve leaflets, small accessory valve leaflets) abnormalities during post-mortem examinations or surgical procedures.

B-Mode M-Mode

Evaluable valves (n=184) Right side Left side Total % (n/%) (n/%) (n/%) 58/20.7 35/12.5 93/33.2 48.9 80/28.6 59/21.1 139/49.7 40.8 2/0.7 4.6/16.4 48/17.1 10.3 0/0 0/0 0/0

These defective valves reduce the normal venous outflow from the brain as proven with different methodologies for flow as- 45-47 sessment. Beyond the deeply held convictions of individual researchers, the heterogeneity of Doppler studies can be reduced to three variables: the participant observed, the measuring instrument and procedure, and the observer.36 Because this is a case-control study, we were not able to select the participants about certain variables such as age, clinical form and disability. However, we checked the possible sources of variability related to the procedure (controlled breathing, head and body position, degree of hydration, time of day of the examination, cervical muscle relaxation), adapting it to the investigative protocols 48,49 used both before and after November 2011. Moreover, we also used the same ECD unit equipped with software upgraded in November 2011. As reported in many studies, ECD is a highly 12,15,50 observer-dependent examination. Therefore, inter-operator 11,12,41 variability is a major source of heterogeneity. Because experience in venous diagnostic ultrasonography and appropriate training in Zamboni’s courses appear to reduce inter-operator variability, the present study utilised two vascular sonographers experienced with venous diseases who had undergone the same 12,15,41,50 special training. Another important aspect is that it seems to be very difficult for an observer to operate in a blind fashion due to the easy detection of subjects with a high degree of dis- 36,41 ability (severe walking disability needing evident assistance). That is why at first all the evaluations were conducted by each investigator as open trial. At a later stage of the study all exams recorded by one operator were subjected to a blind evaluation from the other researcher. After this review, we obtained 92.4% agreement for MS patients and 96.3% for HCs between the two examiners in the assessments. In our study, the overall prevalence of CCSVI in MS patients in the observation period (2010-2014) was 91.6%, a high prevalence when compared to HCs (5.4%). This result takes more importance considering that it is relative to the case-control study with the highest number of subjects compared to similar researches so far published in the literature. As reported by Lanzillo, we also found a sig- 1,3,11,12,26,29,41 nificant correlation between the prevalence of CCSVI and age (p=0.006) and no correlation with regard to MS clinical forms (p=0.632) or disease duration (p=0.429).51 In contrast, we found a positive correlation with gender (male=96.0%, female=88.8%, p=0.002). Another interesting finding of our study is related to the meaning of the VHISS score. As we know, it is an ordinal 42-44 measure of the overall extent and number of CCSVI criteria,

with higher VHISS values indicating flow pattern anomalies of greater severity.10 In our experience, we found a positive correlation between the VHISS score and age (r=0.254, p<0.001), disease duration (r=0.201, p<0.001) and EDSS (r=0.287, p<0.001). The data analysis before and after the introduction of the new ECD criteria revealed a significant reduction of the prevalence of CCSVI (from 94.3% to 83.4%, p<0.001) (Table 5). As this result is not due to a different distribution of MS clinical forms between the two evaluation periods, it can only be attributed to the revised recommendations for the investigation and screening of CCSVI.10 As shown in Table 5, positivity on the first criterion was significantly reduced due to the revision (p=0.010). We observed a similar trend, although not significant (p=0.107), for third criterion positivity (4.9% reduction); whereas the fourth and fifth criteria did not change significantly (p=0.595; p=0.517). As also reported by other authors we consider fundamental the M-mode analysis for its ability to demonstrate motility, competence or any valvular abnormalities frequently not detectable with the B-mode analysis, in fact its sensitivity respect to Mmode was 83.5% (95% CI: 75.2%-89.9%) with 18 false negative cases. The rate of non-evaluable valves with the B-mode analysis (34.3%) decreased to 0% by using the M-Mode analysis. This reduction seems mainly due to M-mode ability in detecting not mobile (17.1%) or slightly mobile (49.7%) valves compared to B-mode (respectively 10.3% and 40.8%). Similarly, our study clearly demonstrates the importance of the second criterion in estimating the CCSVI prevalence. After the revision, indeed, the prevalence with and without this criterion has changed from 83.4% to 58.9%. Also before the revision by removing this criterion, the prevalence decreases from 94.3% to 70%. The significant reduction observed after the revision in positivity on the second criterion (p<0.001), could likely be explained by the observation of less serious clinical and haemodynamic cases (RR forms [+13.2%], SP forms [-14.4%], PP forms [-4.2%]) after the review. Our data showed a higher prevalence of CCSVI in MS patients compared to HCs, increasing with age and being more frequent in males. By contrast, no correlation was found regarding MS clinical forms or disease duration. In MS patients with CCSVI we also detected a positive correlation between impaired cerebral outflow (identified by the VHISS score) and age, disease duration and EDSS.

Conclusion

Vascular survey protocols must reduce their inter-operator variability, and only specific training of vascular sonographers with high competence in venous ultrasonography can achieve this goal. Achieving reproducibility in investigations relative to patients and methods seems to be easier when applying the relevant protocols. In fact, the use in our study of the new ECD criteria introduced in 2011 made the method of investigation more stringent, reducing the prevalence of CCSVI in MS patients compared with examinations using the old criteria (83.4% vs. 94.3%). This result would seem to be due to changes introduced in the first and third criteria. Our study proves that criterion 2 is a disagreement element for its difficult reproducibility,

even between experienced and trained operators. Indeed, the inter-observer agreement has changed from good to excellent without this criterion. Nevertheless, considering this criterion important for a better assessment of cerebral hemodynamic this problem could be overcome with use of MRI-ultrasound fusion techniques53 only in selected cases (post-surgical monitoring, patients with positivity of a single criterion evaluated by the revised protocol for CCSVI screening).

Acknowledgements

Our personal gratitude for the support provided to this research goes to the Italian Rotary Club – 2040 District – Rho (MI), and particularly to a special friend Della Vedova MR, M.D., for all that she has given in these years of friendship and for her active 16,52 collaboration in data collection of this study.

“The unexamined life is not worth living for a human being”: sincere thanks to our friend Franz Schelling for his valuable suggestions in writing this work.

Author’S Contribution

MF was involved in the study concept/study design, data acquisition, data analysis/interpretation, manuscript drafting, literature research, and clinical studies. EN performed the statistical analysis and data analysis/interpretation, drafted the manuscript, and performed the literature research. RP was involved in the data acquisition and clinical studies.

Conflicts Of Interest

The authors declare that they have no competing interests.

References

  1. ZamboniPGaleottiRMelegattiE. Chronic cerebrospinal venous insufficiency in patients with multiple sclerosis. J Neurol Neurosurg Psychiatry. 2009; 80(4): 392-399. doi: 10.1136/jnnp.2008.15716410.1136/jnnp.2008.157164 https://doi.org/10.1136/jnnp.2008.157164
  2. KhanOFilippiMFreedmanMS. Chronic cerebrospinal venous insufficiency and multiple sclerosis. Annals Neur. 2010; 67(3): 286-290. doi: 10.1002/ana.2200110.1002/ana.22001 https://doi.org/10.1002/ana.22001
  3. Al-OmariMHRousanLA. Internal jugular vein morphology and hemodynamics in patients with multiple sclerosis. Int Angiol. 2010; 29(2): 115-120. Web site. http://search.proquest. com/openview/0f879454d0bc2e8bf83897fdffa952a7/1?pqorigsite=gscholar&cbl=46530. Accessed December 21, 2016
  4. FarinaMNovelliEPaganiR. Cross-sectional area variations of internal jugular veins during supine head rotation in multiple sclerosis patients with chronic cerebrospinal venous insufficiency: A prospective diagnostic controlled study with duplex ultrasound investigation. BMC Neurol. 2013; 13: 162. doi: 10.1186/1471-2377-13-16210.1186/1471-2377-13-162 https://doi.org/10.1186/1471-2377-13-162
  5. MarchionePMorrealeMGiacominiP. Ultrasonographic evaluation of cerebral arterial and venous haemodynamics in multiple sclerosis: A case-control study. PLoS One. 2014; 9(10): e111486. doi: 10.1371/journal.pone.011148610.1371/journal.pone.0111486 https://doi.org/10.1371/journal.pone.0111486
  6. ReekersJALeeMJBelliAM. Cardiovascular and interventional radiology society of Europe commentary on the treatment of chronic cerebrospinal venous insufficiency. Cardiovasc Intervent Radiol. 2011; 34(1): 1-2. doi: 10.1007/s00270- 010-0050-510.1007/s00270-010-0050-5 https://doi.org/10.1007/s00270-010-0050-5
  7. VedanthamSBenenatiJFKunduS. Interventional endovascular management of chronic cerebrospinal venous insufficiency in patients with multiple sclerosis: A position statement by the Society of Interventional Radiology, endorsed by the Canadian Interventional Radiology Association. J Vasc Interv Radiol. 2010; 21(9): 1335-1337. doi: 10.1016/j.jvir.2010.07.00410.1016/j.jvir.2010.07.004 https://doi.org/10.1016/j.jvir.2010.07.004
  8. WattjesMPvan OostenBWde GraafWL. No association of abnormal cranial venous drainage with multiple sclerosis: A magnetic resonance venography and flow-quantification study. J Neurol Neurosurg Psychiatry. 2011; 82(4): 429-435. doi: 10.1136/jnnp.2010.22347910.1136/jnnp.2010.223479 https://doi.org/10.1136/jnnp.2010.223479
  9. ZivadinovRPoloniGUMarrK. Decreased brain venous vasculature visibility on susceptibility-weighted imaging venography in patients with multiple sclerosis is related to chronic cerebrospinal venous insufficiency. BMC Neurol. 2011; 11: 128. doi: 10.1186/1471-2377-11-12810.1186/1471-2377-11-128 https://doi.org/10.1186/1471-2377-11-128
  10. NicolaidesANMorovicSMenegattiEViselnerGZamboniP. Screening for chronic cerebrospinal venous insufficiency (CCSVI) using ultrasound: Recommendations for a protocol. Func Neurol. 2011; 26(4): 229-248. Web site. http://search. proquest.com/openview/5a57f945fc9a02ae19342407758b1fe1 /1?pq-origsite=gscholar&cbl=34390. Accessed December 21, 2016
  11. ZwischenbergerABeasleyMMDavenportDLXenosES. Meta-analysis of the correlation between chronic cerebrospinal venous insufficiency and Multiple Sclerosis. Vasc Endovascul Surg. 2013; 47(8): 620-624. doi: 10.1177/153857441350356210.1177/1538574413503562 https://doi.org/10.1177/1538574413503562
  12. TsivgoulisGSergentanisTNChanA. Chronic cerebrospinal venous insufficiency and multiple sclerosis: A comprehensive meta-analysis of case-control studies. Ther Adv Neurol Disord. 2014; 7(2): 114-136. doi: 10.1177/175628561349942510.1177/1756285613499425 https://doi.org/10.1177/1756285613499425
  13. TsivgoulisGFaissnerSVoumvourakisK. “Liberation treatment” for chronic cerebrospinal venous insufficiency in multiple sclerosis: The truth will set you free. Brain Behav. 2015; 5(1): 3-12. doi: 10.1002/brb3.29710.1002/brb3.297 https://doi.org/10.1002/brb3.297
  14. JedynakWCieszanowskiA. Is there any relation between chronic cerebrospinal venous insufficiency and multiple sclerosis? - A critical review. Pol J Radiol. 2014;79: 131-136. doi: 10.12659/PJR.89037910.12659/pjr.890379 https://doi.org/10.12659/pjr.890379
  15. MenegattiEGenovaVTessariM. The reproducibility of colour Doppler in chronic cerebrospinal venous insufficiency associated with multiple sclerosis. Int Angiol. 2010; 29(2): 121-126. Web site. http://www.minervamedica.it/en/journals/ international-angiology/article.php?cod=R34Y2010N02A0121. Accessed December 21, 2016
  16. TrombaLBlasiSVestriAKiltzanidiDTartagliaFRedlerA. Prevalence of chronic cerebrospinal venous insufficiency in multiple sclerosis: A blinded sonographic evaluation. Phlebology. 2015; 30(1): 52-60. doi: 10.1177/026835551351282310.1177/0268355513512823 https://doi.org/10.1177/0268355513512823
  17. ChambersBChambersJCameronH. Chronic cerebrospinal venous insufficiency is not more prevalent in patients with mild multiple sclerosis: A sonographer-blinded, case-control ultrasound study. Mult Scler. 2013; 19(6): 749-756. Web site. http:// journals.sagepub.com/doi/abs/10.1177/1352458512459986. Accessed December 21, 201610.1177/1352458512459986.accessed https://doi.org/10.1177/1352458512459986.accessed
  18. Weinstock-GuttmanBRamanathanMMarrK. Clinical correlates of chronic cerebrospinal venous insufficiency in multiple sclerosis. BMC Neurol. 2012; 12: 26. doi: 10.1186/1471-2377-12-2610.1186/1471-2377-12-26 https://doi.org/10.1186/1471-2377-12-26
  19. CicconeMMGaleandroAIScicchitanoP. Multigate quality Doppler profiles and morphological/hemodynamic alterations in multiple sclerosis patients. Curr Neurovasc Res. 2012; 9(2): 120-127. doi: 10.2174/15672021280041084910.2174/156720212800410849 https://doi.org/10.2174/156720212800410849
  20. PattiFNicolettiALeoneC. Multiple Sclerosis and CCSVI: A population-based case control study. PLoS One. 2012; 7(8): e41227. doi: 10.1371/journal.pone.004122710.1371/journal.pone.0041227 https://doi.org/10.1371/journal.pone.0041227
  21. LanzilloRManciniMLiuzziR. Chronic cerebrospinal venous insufficiency in multiple sclerosis: A highly prevalent age-dependent phenomenon. BMC Neurol. 2013; 13(20): 20. doi: 10.1186/1471-2377-13-2010.1186/1471-2377-13-20 https://doi.org/10.1186/1471-2377-13-20
  22. ZaniewskiMKosteckiJKuczmikW. Neck duplex Doppler ultrasound evaluation for assessing chronic cerebrospinal venous insufficiency in multiple sclerosis patients. Phlebology. 2013; 28(1): 24-31. doi: 10.1258/phleb.2011.01107010.1258/phleb.2011.011070 https://doi.org/10.1258/phleb.2011.011070
  23. ImperialeDMelisFGiacconeC. Chronic cerebrospinal venous insufficiency in multiple sclerosis: A sonographer-blinded case-control study. Clin Neurol Neurosurg. 2013; 115(8): 1394-1398. doi: 10.1016/j.clineuro.2013.01.00310.1016/j.clineuro.2013.01.003 https://doi.org/10.1016/j.clineuro.2013.01.003
  24. Krsmanović Ž, Živković M, Lepić T, et al. Small internal jugular veins with restricted outflow are associated with severe multiple sclerosis: A sonographer-blinded, case-control ultrasound study. BMC Neurol. 2013; 13: 90. doi: 10.1186/1471- 2377-13-90 https://doi.org/10.1186/1471-2377-13-90
  25. KimESDiaconuCBausL. Chronic cerebrospinal venous insufficiency: Pitfalls and perils of sonographic assessment. J Ultrasound Med. 2015; 34(6): 1097-1106. doi: 10.7863/ ultra.34.6.1097
  26. BlinkenbergMAkesonPSillesenH. Chronic cerebrospinal venous insufficiency and venous stenoses in multiple sclerosis. Acta Neurol Scand. 2012; 126(6): 421-427. doi: 10.1136/jnnp.2008.15716410.1136/jnnp.2008.157164 https://doi.org/10.1136/jnnp.2008.157164
  27. LeoneMARaymkulovaONaldiP. Chronic cerebrospinal venous insufficiency is not associated with multiple sclerosis and its severity: A blind-verified study. PLoS One. 2013; 8(2): e56031. doi: 10.1371/journal.pone.005603110.1371/journal.pone.0056031 https://doi.org/10.1371/journal.pone.0056031
  28. Barreto AD, Brod SA, Bui T-T, et al. Chronic cerebrospinal venous insufficiency: Case–control neurosonography results. Ann Neurol. 2013; 73(6): 721-728. doi: 10.1002/ana.23839 https://doi.org/10.1002/ana.23839
  29. ComiGBattagliaMABertolottoA. Observational case-control study of the prevalence of chronic cerebrospinal venous insufficiency in multiple sclerosis: Results from the CoSMo study. Mult Scler. 2013; 19(11): 1508-1517. doi: 10.1177/135245851350123110.1177/1352458513501231 https://doi.org/10.1177/1352458513501231
  30. RodgerIWDilarDDwyerJ. Evidence against the involvement of chronic cerebrospinal venous abnormalities in multiple sclerosis. A case-control study. PLoS One. 2013; 8(8): e72495. doi: 10.1371/journal.pone.007249510.1371/journal.pone.0072495 https://doi.org/10.1371/journal.pone.0072495
  31. LaughlinSMacgowanCKTraubiciJ. No evidence for impairment of venous hemodynamics in children or young adults with pediatric-onset multiple sclerosis. AJNR Am J Neuroradiol. 2013; 34(12): 2366-2372. doi: 10.3174/ajnr.A366110.3174/ajnr.a3661 https://doi.org/10.3174/ajnr.a3661
  32. CostelloFModiJLautnerD. Validity of the diagnostic criteria for chronic cerebrospinal venous insufficiency and association with multiple sclerosis. CMAJ. 2014; 186(11): E418-E426. doi: 10.1503/cmaj.13143110.1503/cmaj.131431 https://doi.org/10.1503/cmaj.131431
  33. LeoneMARaymkulovaOLochnerP. Chronic cerebrospinal venous insufficiency is not associated with chronic venous disorders: A case-control study. Phlebology. 2015; 30(10): 736-738. doi: 10.1177/026835551454478210.1177/0268355514544782 https://doi.org/10.1177/0268355514544782
  34. Baracchini C, Valdueza JM, Del Sette M, et al. CCSVI and MS: A statement from the European Society of neurosonology and cerebral hemodynamics. J Neurol. 2012;259(12): 2585- 2589. doi: 10.1007/s00415-012-6541-3 https://doi.org/10.1007/s00415-012-6541-3
  35. LaukontausSJKagayamaTLepäntaloM. Doppler ultrasound examination of multiple sclerosis patients and control participants: Inter-observer agreement and association with disease. Eur J Vasc Endovasc Surg. 2013; 46(4): 466-472. doi: 10.1016/j.ejvs.2013.07.00310.1016/j.ejvs.2013.07.003 https://doi.org/10.1016/j.ejvs.2013.07.003
  36. LeoneMARaymkulovaOLucentiA. A reliability study of colour-Doppler sonography for the diagnosis of chronic cerebrospinal venous insufficiency shows low inter-rate agreement. BMJ Open. 2013; 3(11): e003508. doi: 10.1136/bmjopen–2013–00350810.1136/bmjopen–2013–003508 https://doi.org/10.1136/bmjopen–2013–003508
  37. PolmanCHReingoldSCBanwellB. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol. 2011; 69(2): 292-202. doi: 10.1002/ana.2236610.1002/ana.22366 https://doi.org/10.1002/ana.22366
  38. FeldmanLSAnidjarMMetrakosP. Optimization of cardiac preload during laparoscopic donor nephrectomy: A preliminary study of central venous pressure versus esophageal Doppler monitoring. Surg Endosc. 2004; 18(3): 412-416. doi: 10.1007/s00464-003-8907-110.1007/s00464-003-8907-1 https://doi.org/10.1007/s00464-003-8907-1
  39. MathewJPNewmanMF. Hemodynamic and Related nd Monitoring. 2nd ed. Philadelphia, USA: Lippincott William and Wilkins; 2005
  40. StolzEKapsMKernA. Transcranial color-coded duplex sonography of intracranial veins and sinuses in adults: Reference data from 130 volunteers. Stroke. 1999; 30(5): 1070- 1075. doi: 10.1161/01.STR.30.5.107010.1161/01.str.30.5.1070 https://doi.org/10.1161/01.str.30.5.1070
  41. BastianelloSRomaniAViselnerG. Chronic cerebrospinal venous insufficiency in multiple sclerosis: Clinical correlates from a multicenter study. BMC Neurol. 2011; 26(11): 132. doi: 10.1186/1471-2377-11-13210.1186/1471-2377-11-132 https://doi.org/10.1186/1471-2377-11-132
  42. DiaconuCIStaugaitisSMFoxRJRae-GrantASchwangerCMcBrideJM. A technical approach to dissecting and assessing cadaveric veins pertinent to chronic cerebrospinal venous insufficiency in multiple sclerosis. Neurol Res. 2012; 34(8): 810- 818. doi: 10.1179/1743132812Y.000000007110.1179/1743132812y.0000000071 https://doi.org/10.1179/1743132812y.0000000071
  43. DiaconuCIStaugaitisSMcBrideJ. A Pathologic evaluation of chronic cerebrospinal venous insufficiency (CC-SVI). Neurology. 2012; 78(1): 5-15. Web site. http://www.neurology.org/content/78/1_Supplement/P05.125.short. Accessed December 21, 2016
  44. PedrialiMZamboniP. The pathology of the internal jugular vein wall in multiple sclerosis. J Mult Scler. 2015; 2: 160. doi: 10.4172/2376-0389.100016010.4172/2376-0389.1000160 https://doi.org/10.4172/2376-0389.1000160
  45. ZamboniPMenegattiEConfortiPShepherdSTessariMBeggsC. Assessment of cerebral venous return by a novel plethysmography method. J Vasc Surg. 2012; 56(3): 677-685.e1. doi: 10.1016/j.jvs.2012.01.07410.1016/j.jvs.2012.01.074 https://doi.org/10.1016/j.jvs.2012.01.074
  46. BeggsCShepherdSZamboniP. Cerebral venous outflow resistance and interpretation of cervical plethysmography data with respect to the diagnosis of chronic cerebrospinal venous insufficiency. Phlebology. 2014; 29(3): 191-99. doi: 10.1258/ phleb.2012.012039
  47. ManciniMLanzilloRLiuzziR. Internal jugular vein blood flow in multiple sclerosis patients and matched controls. PLoS One. 2014; 9(3): e92730. doi: 10.1371/journal. pone.009273010.1371/journal.pone.0092730 https://doi.org/10.1371/journal.pone.0092730
  48. LobatoEBFloreteOGPaigeGBMoreyTE. Cross-sectional area and intravascular pressure of the right internal jugular vein during anesthesia: Effects of Trendelenburg position, positive intrathoracic pressure, and hepatic compression. J Clin Anesth. 1998; 10(1): 1-5. doi: 10.1016/S0952-8180(97)00189-X10.1016/s0952-8180(97)00189-x https://doi.org/10.1016/s0952-8180(97)00189-x
  49. ValduezaJMvon MunsterTHoffmanOSchreiberSEinhäuplKM. Postural dependency of the cerebral venous outflow. Lancet. 2000; 355(9199): 200-201. doi: 10.1016/S0140- 6736(99)04804-710.1016/s0140-6736(99)04804-7 https://doi.org/10.1016/s0140-6736(99)04804-7
  50. ZivadinovRMarrKCutterG. Prevalence, sensitivity, and specificity of chronic cerebrospinal venous insufficiency in MS. Neurology. 2011; 77(2): 138-144. doi: 10.1212/WNL. 0b013e318212a90110.1212/wnl.0b013e318212a901 https://doi.org/10.1212/wnl.0b013e318212a901
  51. LanzilloRManciniMLiuzziR. Chronic cerebrospinal venous insufficiency in multiple sclerosis: A highly prevalent age-dependent phenomenon. BMC Neurol. 2013; 13(20): 13-20. doi: 10.1186/1471-2377-13-2010.1186/1471-2377-13-20 https://doi.org/10.1186/1471-2377-13-20
  52. MenegattiETessariMGianesiniS. Human internal jugular valve M-mode ultrasound characterization. Curr Neurovasc Res. 2014; 11(2): 149-155. doi: 10.2174/15672026116661 4040809401410.2174/15672026116661 https://doi.org/10.2174/15672026116661
  53. SchreiberSJValduezaJMDoeppF. Transcranial color coded sonography: Advanced approach using ultrasound fusion imaging. IJCNMH. 2014; 1(Suppl 1): S16. doi: 10.21035/ ijcnmh.2014.1(Suppl.1).S16