Abstract
Since the venous system is affected by gravity, upright computed tomography (CT) in addition to conventional supine CT has great potential for evaluating postural changes in the venous system. We evaluated the morphological differences in the head and neck vessels by performing a contrast CT study in both the supine and the sitting positions. In this study, the 20 included participants (10 men and 10 women) were healthy adults aged 30 to 55 years. The cross-sectional area of the cervical vessels, craniocervical junction veins, and intracranial vessels were obtained quantitatively. Venous sinuses and venous plexuses that were difficult to measure were evaluated qualitatively. The average change in areas from a supine to an upright posture was − 77.87 ± 15.99% (P < 0.0001) in the right internal jugular vein (IJV), − 69.42 ± 23.15% (P < 0.0001) in the left IJV, − 61.52 ± 12.81% (P < 0.0001) in the right external jugular vein (EJV), and − 58.91 ± 17.37% (P < 0.0001) in the left EJV. In contrast, the change in the anterior condylar vein (ACV) from a supine to an upright posture was approximately + 144% (P < 0.005) on the right side and + 110% (P < 0.05) on the left side. In addition, according to the qualitative analysis, the posterior venous structures including the anterior condylar confluence (ACC) of the craniocervical junction became more prominent in an upright posture. Despite these changes, the intracranial vessels showed almost no change between postures. From a supine to an upright position, the IJVs and EJVs above the heart collapsed, and venous channels including the ACCs and ACVs opened, switching the main cerebral venous drainage from the IJVs to the vertebral venous system. Upright head CT angiography can be useful for investigating physiological and pathophysiological hemodynamics of the venous system accompanying postural changes.
Subject terms: Physiology, Anatomy
Introduction
Humans spend a majority of the day in an upright position. However, diagnostic imaging devices, which are routinely used in clinical settings, are designed for a supine position instead. Therefore, the hemodynamic changes within the craniocervical area between a supine and an upright posture are not fully understood.
The human body consists of many organ systems. The development of computed tomography (CT) has enabled the systematic cross-sectional visualization of many organ systems, including the arterial system, respiratory system, biliary tract, alimentary tract, and urinary system1–7. However, conventional supine CT or magnetic resonance imaging (MRI) alone is inadequate for evaluating the pathophysiology of the venous system, in which the distribution of volume is affected by gravity. Therefore, in order to evaluate the effect of gravity on the venous system, it is necessary to use a diagnostic imaging technique that can image the whole body in an upright posture. Even at the time when CT was developed in 19728, there was an intention to develop this modality for use in a standing position. However, this goal was not realized due to the difficulty of keeping subjects standing for the length of time it took to image the whole body. It was even more difficult with MRI because it takes longer to perform than CT. The recent improvement in CT has resulted in shorter scanning times, and the latest 320-row detector CT scanner can image the whole head within 5 s using helical mode and obtain 3-dimensional images of the whole head over time (4-dimensional imaging) using a 16-cm coverage axial scan. Recently, in collaboration with Toshiba Medical Systems (currently Canon Medical Systems), we proposed and developed an upright 320-detector row CT scanner; this scanner can obtain images of subjects in a standing or sitting position9,10. Using this system, we found that gravity differentially affected the volume and shape of the vena cava within the torso depending on body position10. However, the effect of gravity on the venous system in the head and neck is still not fully understood.
In a supine position, the internal jugular veins (IJVs) are the primary venous drain for the brain11–13. Several studies have recently reported that the jugular veins are collapsed and the main venous outflow from the brain occurs via the vertebral venous systems (VVS) in an upright position13–15. The VVS contains veins, venous plexuses, and venous sinuses that course along the entire length of the spine13, it is regarded as a unique, large-capacity, valveless plexiform venous network in which the flow is bidirectional16. The condylar veins (anterior, lateral, and posterior) and the anterior condylar confluence (ACC), which is located extracranially in front of the aperture of hypoglossal canal, represent the most important connections between the intracranial cerebral venous circulation and the VVS17, and have been suggested to contribute to the main outflow tract for encephalic drainage in the upright position. However, such positional changes have not been actually illustrated in the past in humans. In addition, no previous reports have revealed morphological changes in intracranial vessels including venous structures, in different postures.
The purpose of the study was to elucidate the posture-related changes in craniocervical junction venous structures, intracranial vessels and cervical vessels by obtaining contrast-enhanced CT images of healthy volunteers in both supine and sitting positions. The positional changes in vessels within the head and neck are clinically important not only for physiological cerebral venous drainage but also in pathological conditions such as ICP abnormalities, cerebrovascular disease, and tumors.
Results
Study population
The study participants were 10 male and 10 female volunteers. The mean (± standard deviation) age and body mass of the male volunteers were 43.6 ± 7.8 years (range, 30 to 54 years) and 62.3 ± 5.7 kg, respectively, whereas those of the females were 45.5 ± 7.2 years (range, 34 to 55 years) and 58.8 ± 11.4 kg, respectively. We confirmed that no abnormalities were noted at their most recent medical checkup, and they were not taking any oral medications.
Cervical vessels
First, the postural changes in the cross-sectional area of the cervical vessels were evaluated. The internal carotid artery underwent no significant postural changes (Table S1). The IJVs and the external jugular veins (EJVs) were significantly collapsed in an upright posture (right IJVs: n = 20, average change ratio (Δ%) = − 77.87 ± 15.99%, P < 0.0001; left IJVs: n = 20, Δ% = − 69.42 ± 23.15%, P < 0.0001; right EJVs: n = 19, Δ% = − 61.52 ± 12.81%, P < 0.0001; left EJVs: n = 19, Δ% = − 58.91 ± 17.37%, P < 0.0001) (Fig. 1, Table S1). Laterality was evaluated and the cross-sectional area of the IJVs was clearly superior on the right side (n = 20, P < 0.05) (Figure S1). The intra- and interrater reliability were substantial in all measurements (0.764–0.993) (Table S1).
Craniocervical junction and intracranial vessels
Next, the condylar veins located at the craniocervical junction and intracranial vessels were evaluated. The condylar veins are venous connections between the dural sinuses of the posterior fossa and the VVS and consists of three veins: the anterior, lateral, and posterior condylar veins. The anterior condylar vein (ACV) could be measured in 13/40 sides (33% of the sides) in the supine position and in 36/40 sides (90% of the sides) in the upright position. The lateral condylar vein (LCV) was present in 24/40 (60% of the sides) in the supine position and in 35/40 sides (88% of the sides) in the upright position. The posterior condylar vein (PCV) was present in 16/40 (40% of the sides) in the supine position and in 21/40 (53% of the sides) in the upright position. Only data in which the cross-sectional area of the target vessel could be measured in at least one supine and upright position were analyzed. Thus, 19 ACVs were analyzed on the both sides, 19 LCVs were analyzed on the right side and 16 on the left side, and 12 PCVs were analyzed on the right side and 9 on the left side. The ACVs were significantly dilated in an upright posture (right ACVs: n = 19, Δ% = + 144.86%, P < 0.005; left ACVs: n = 19, Δ% = + 110.69%, P < 0.05) (Figs. 2A,B, 3A). The LCVs and PCVs became more prominent in an upright posture, but the difference was not significant (right LCVs: n = 19, Δ% = + 42.06%, P = 0.882; left LCVs: n = 16, Δ% = + 68.57%, P = 0.084; right PCVs: n = 12, Δ% = + 17.39%, P = 0.426; left PCVs: n = 9, Δ% = + 30.56%, P = 0.546) (Fig. 3B,C). Regarding the intracranial vessels, no significant changes were found in the size of the intracranial arteries, veins, or venous sinuses (Tables 1, 2, 3). Laterality was found in several vessels; the sigmoid sinus (SS) and inferior petrosal sinus (IPS) were right-side dominant both in the supine and upright positions (SS; n = 18, P < 0.05, IPS; n = 14, P < 0.05), and the ACVs were right-side dominant only in the upright position (n = 11, P < 0.001) (Figure S1). The intra-observer and inter-observer reliability were substantial in all measurements (0.715–0.994) (Tables 1, 2, 3).
Table 1.
Vessels | Side | Posture | N | Area (mm2)a | Change ratio (%) | 95% CI of difference (mm2)b | AdjustedP valuec | Intrarater reliability/interrater reliability |
---|---|---|---|---|---|---|---|---|
Internal carotid artery | Right | Supine | 20 | 8.00 ± 1.88 | + 4.41 | − 0.66 to 0.18 | 1.0 | 0.880/0.851 |
Upright | 20 | 8.25 ± 1.73 | 0.741/0.715 | |||||
Left | Supine | 20 | 8.10 ± 1.85 | + 2.79 | − 0.76 to 0.18 | 1.0 | 0.772/0.787 | |
Upright | 20 | 8.39 ± 2.40 | 0.943/0.921 | |||||
Middle cerebral artery | Right | Supine | 20 | 5.00 ± 1.09 | + 5.47 | − 0.51 to 0.12 | 1.0 | 0.934/0.928 |
Upright | 20 | 5.20 ± 1.02 | 0.848/0.818 | |||||
left | Supine | 20 | 5.03 ± 1.20 | + 5.88 | − 0.61 to 0.11 | 1.0 | 0.871/0.918 | |
upright | 20 | 5.28 ± 1.34 | 0.722/0.739 | |||||
Vertebral artery | Right | Supine | 19 | 6.21 ± 2.49 | + 1.8 | − 0.41 to 0.64 | 1.0 | 0.896/0.860 |
Upright | 19 | 6.10 ± 2.15 | 0.935/0.900 | |||||
Left | Supine | 20 | 7.35 ± 2.86 | − 0.53 | − 0.52 to 0.65 | 1.0 | 0.980/0.978 | |
Upright | 20 | 7.28 ± 2.98 | 0.954/0.956 | |||||
Basilar artery | Supine | 20 | 5.97 ± 1.92 | + 0.52 | − 0.27 to 0.31 | 1.0 | 0.816/0.764 | |
Upright | 20 | 5.95 ± 1.92 | 0.921/0.883 |
aThe area is presented as the mean ± standard deviation.
bCI: confidence interval.
cAll P values are adjusted for multiple comparisons.
Table 2.
Vessels | Side | Posture | N | Area (mm2) | Change ratio (%) | 95% CI of difference (mm2) | Adjusted P valuec | Intrarater reliability/interrater reliability |
---|---|---|---|---|---|---|---|---|
Cortical vein | Right | Supine | 20 | 9.16 ± 2.67 | − 4.99 | 0.08 to 0.80 | 0.133 | 0.876/0.825 |
Upright | 20 | 8.72 ± 2.76 | 0.887/0.853 | |||||
Left | Supine | 20 | 9.27 ± 3.14 | − 3.12 | − 0.23 to 0.82 | 1.0 | 0.932/0.953 | |
Upright | 20 | 8.97 ± 3.45 | 0.980/0.976 | |||||
Precentral cerebellar vein | Supine | 20 | 3.63 ± 1.05 | + 7.18 | − 0.47 to 0.03 | 0.567 | 0.863/0.862 | |
Upright | 20 | 3.84 ± 1.09 | 0.853/0.843 | |||||
Superficial middle cerebral vein | Right | Supine | 20 | 6.16 ± 1.78 | + 3.43 | − 0.47 to 0.33 | 1.0 | 0.817/0.806 |
Upright | 20 | 6.22 ± 1.59 | 0.885/0.903 | |||||
Left | Supine | 20 | 6.71 ± 1.98 | + 4.69 | − 0.65 to 0.16 | 1.0 | 0.888/0.896 | |
Upright | 20 | 6.95 ± 2.22 | 0.878/0.841 | |||||
Internal cerebral vein | Right | Supine | 20 | 4.64 ± 1.13 | + 6.33 | − 0.45 to 0.01 | 0.441 | 0.900/0.882 |
Upright | 20 | 4.86 ± 1.01 | 0.874/0.882 | |||||
Left | Supine | 20 | 4.47 ± 1.23 | + 3.91 | − 0.42 to 0.27 | 1.0 | 0.902/0.948 | |
Upright | 20 | 4.54 ± 1.14 | 0.893/0.909 |
aThe area is presented as the mean ± standard deviation.
bCI: confidence interval.
cAll P values are adjusted for multiple comparisons.
Table 3.
Vessels | Side | Posture | N | Area (mm2) | Change ratio (%) | 95% CI of difference (mm2) | Adjusted P valuec | Intrarater reliability/interrater reliability |
---|---|---|---|---|---|---|---|---|
Superior sagittal sinus | Supine | 20 | 16.35 ± 5.11 | + 0.27 | − 1.18 to 1.07 | 1.0 | 0.946/0.971 | |
Upright | 20 | 16.41 ± 5.49 | 0.937/0.959 | |||||
Straight sinus | Supine | 20 | 10.74 ± 3.10 | + 3.82 | − 0.85 to 0.26 | 1.0 | 0.944/0.94 | |
Upright | 20 | 11.04 ± 2.93 | 0.957/0.986 | |||||
Transverse sinus | Right | Supine | 19 | 36.85 ± 17.45 | + 2.45 | − 2.07 to 1.88 | 1.0 | 0.979/0.984 |
Upright | 19 | 36.95 ± 16.02 | 0.956/0.949 | |||||
Left | Supine | 18 | 26.22 ± 10.04 | + 2.22 | − 1.23 to 0.0013 | 0.50 | 0.941/0.94 | |
Upright | 18 | 26.84 ± 10.31 | 0.979/0.962 | |||||
Sigmoid sinus | Right | Supine | 20 | 49.69 ± 16.04 | + 1.01 | − 1.75 to 0.55 | 1.0 | 0.984/0.988 |
Upright | 20 | 50.29 ± 16.75 | 0.987/0.987 | |||||
Left | Supine | 18 | 34.50 ± 12.88 | + 1.72 | − 1.62 to 0.89 | 1.0 | 0.981/0.979 | |
Upright | 18 | 34.86 ± 12.52 | 0.990/0.994 | |||||
Superior petrosal sinus | Right | Supine | 17 | 6.25 ± 3.21 | + 9.55 | − 0.85 to 0.05 | 0.78 | 0.956/0.874 |
Upright | 17 | 6.65 ± 3.15 | 0.796/0.844 | |||||
Left | Supine | 17 | 5.23 ± 1.91 | + 4.6 | − 0.91 to 0.34 | 1.0 | 0.844/0.875 | |
Upright | 17 | 5.51 ± 2.27 | 0.805/0.821 | |||||
Inferior petrosal sinus | Right | Supine | 15 | 14.08 ± 6.89 | + 3.13 | − 1.19 to 0.73 | 1.0 | 0.950/0.973 |
Upright | 15 | 14.31 ± 6.93 | 0.922/0.982 | |||||
Left | Supine | 13 | 11.07 ± 3.85 | + 2.7 | − 1.03 to 0.52 | 1.0 | 0.896/0.904 | |
Upright | 13 | 11.32 ± 4.13 | 0.966/0.941 |
aThe area is presented as the mean ± standard deviation.
bCI: confidence interval.
cAll P values are adjusted for multiple comparisons.
Venous plexuses and sinuses
Finally, venous plexuses and sinuses that were difficult to measure quantitatively, were evaluated qualitatively. They were analyzed by visual reference and were classified as having poor (−), intermediate (+), or abundant (++) venous blood flow. The intracranial venous sinuses, i.e., the cavernous sinus and basilar plexus, had no apparent postural change in any of the volunteers. The pterygoid plexus located in the infratemporal fossa showed the following variety of patterns in the supine and upright posture, with no significant postural change in the proportional size by the McNemar–Bowker test (n = 19, P = 0.607): 10/19 (53%) had no change, 5/19 (26%) became more prominent from a supine posture to an upright posture, and 4/19 (21%) became less noticeable (Fig. 3D). The craniocervical junction venous plexuses and sinuses, including the ACCs, vertebral artery venous plexuses (VAVPs), suboccipital cavernous sinuses (SOCSs)18, marginal sinuses (MSs), and anterior internal vertebral venous plexuses (AIVVPs) became more prominent in an upright posture and had significant postural changes in proportional size (right ACCs: n = 20, P < 0.05; left ACCs: n = 19, P < 0.05; right VAVP: n = 17, P < 0.01; left VAVP: n = 16, P < 0.005; right SOCS: n = 18, P < 0.05; left SOCS: n = 17, P < 0.005; MS: n = 19, P < 0.05; AIVVP: n = 19, P < 0.01) (Figs. 2C–L, 3, Table S2). Bonferroni-corrected post-hoc McNemar tests were applied to three comparisons (−/+, −/++, and +/++), and all venous structures except the left ACC and MS showed significant changes in the direction of distension (the direction from + to ++) from a supine posture to an upright posture. The left ACC showed a significant change from − to +. The intra- and interrater reliability were substantial in all measurements (0.60–1.00) (Table S2).
Discussion
In this study, we demonstrated the following three results. First, cervical veins (IJVs and EJVs) collapsed in an upright posture. Second, craniocervical junction venous structures, which flow just downstream of the outlet of the intracranial space and connect to the VVS, became more prominent in the upright position, in contrast to the more anteriorly located jugular system. Third, intracranial vessels, including arteries, veins, and venous sinuses, did not show major postural changes in contrast to venous structures in the neck and craniocervical junction.
Previous reports using devices such as echography, upright MRI, and angiography have also shown that the cervical IJVs and EJVs are collapsed in an upright posture14,19–24. The pressure in the IJVs is negative in this posture because they are positioned above the heart, which causes these thin-walled vessels to collapse13. Similar postural changes are also observed in the superior vena cava, which is also located above the heart10. From the perspective of cerebral venous drainage, the IJVs are the main outflow route for the cerebral blood in a supine posture. In contrast, the IJVs collapse in an upright posture and the VVS becomes the main cerebral blood outflow route in this position13,24,25. Although the vertebral venous plexus in the cervical portion was not investigated in this study, an upright MRI study showed that the vertebral venous plexus at the cervical level was prominent in an erect posture23. Therefore, the vertebral venous plexus, which courses along the entire length of the spine, plays a role in the main venous outflow or large-capacity venous reservoir in an upright posture.
The present study showed that the downstream ACCs, including ACVs, VAVP, SOCS, MS, and AIVVP, became more prominent in an upright posture. Although several authors have already reported that the VVS is a major venous outflow tract in an upright posture, all of these studies have been conducted in the cervical portion13,14,17,22,23. Therefore, this is the first study to show that the posterior venous system of the craniocervical junction was dilated in an upright position, whereas the LCVs and PCVs did not show a statistically significant change with posture. However, both upstream and downstream of the LCVs and PCVs were revealed to be more prominent in an upright posture than in a supine posture. Moreover, despite not reaching significance, their average cross-sectional areas were greater in an upright position. Accordingly, it is conceivable that the draining pathway through from the ACCs to the VVS became more enhanced in an upright posture, and the following three venous routes were considered to be more prominent in the upright position: (1) the ACVs, which originate from the ACCs, pass through the hypoglossal canal and drains into the MS, SOCS, VAVP, and AIVVP; (2) the LCVs, which originate from the ACCs and run posterolaterally to join the SOCS, VAVP, and AIVVP; and (3) the PCVs, which originate from the ACC or jugular bulb, pass through the posterior condylar canal and drain into the SOCS (Fig. 4). The ACC is located extracranially in front of the aperture of the hypoglossal canal, and its major tributaries are the condylar veins, IPS, and IJV17. By anastomosis with many surrounding venous structures, the ACC plays an important role as a crossroads for switching venous outflow routes between a supine position and an upright position. On the other hand, positional changes were not observed in the pterygoid plexus, which communicates from the facial vein, cavernous sinus, and inferior ophthalmic vein and drains into the EJVs in the supine position26. Venous blood in the pterygoid plexus perfuses primarily to the EJV in a supine position, but it may perfuse to an alternative site in an upright position because the EJV is collapsed.
Conventional MRI has a high spatial resolution, and has been reported in the past to detect differences in the cross-sectional area of intracranial vessels of approximately 1 mm227–29. The voxel size of the 3 T MRI used in the report is 0.4 × 0.4 × 2 mm3 (0.32 mm3), and that of the CT used in this study is 0.46 × 0.46 × 0.5 mm3 (0.11 mm3); therefore, the upright CT has a higher spatial resolution than MRI. In the past, a few studies have been reported on the morphological investigation of intracranial vessels in an upright posture by using upright MRI. All of the upright MRI studies reported to date have used 0.5 or 0.6 T MRI22–24,30, and the spatial resolution is inadequate to measure the thin intracranial vessels. Even if CT and MRI could yield images with the same spatial resolution in the upright position, CT still has an advantage, namely that it takes less time to scan than MRI. It is more difficult to keep the body still during scanning in the upright position than in the supine position. Therefore, CT may be more suitable than MRI as shorter imaging times are better for reducing motion artifact in the upright position. On the other hand, MRI has a higher contrast resolution than CT; thus, it can generally reveal intracranial anatomy in greater detail than CT. For example, MRI would be by far the best way to observe spinal fluid dynamics31,32. If the body can be immobilized over a long imaging period, the development of high-resolution upright MRI will provide many new insights.
To the best of our knowledge, this is the first study to examine postural changes in intracranial vessels in humans by using upright contrast-enhanced CT. Our findings suggest that the intracranial vessels maintain homeostasis, at least morphologically, between different postures in healthy humans. In terms of homeostasis, ICP and the intracranial venous system are closely related. Postural effects on the cervical IJV are thought to be involved in controlling the postural changes in ICP33–35. Hydrostatic gradients in the venous system are the key factor for the postural ICP changes, and the collapsing of the IJVs in an upright posture hydrostatically isolates the dural sinus pressure from the central venous pressure, preventing ICP from falling far below zero in an upright posture19,36,37. In normal ICP patients and healthy volunteers, ICP was reportedly higher in a supine posture than in a sitting posture (an average difference in ICP was reportedly approximately 10 mmHg)19,38. The subjects in the present study were healthy volunteers and were assumed to have normal ICPs; therefore, our results suggest that intracranial venous structures remain constant in individuals with a normal ICP. On the other hand, positional changes in the intracranial venous system may be observed if ICP is abnormally altered in a positional manner. Intracranial hypertension and hypotension reportedly relate to stenosis and distension of cerebral venous sinuses, respectively. Cerebral venous stenosis has been proposed to be one of the causes of intracranial hypertension39. Venous hypertension in venous sinus stenosis occurs because of the resistance of venous outflow at the stenotic segment, which leads to an increase in ICP causing further venous sinus stenosis from external compression39,40. In contrast, in patients with intracranial hypotension, the venous sinuses are enlarged to compensate for the loss of intracranial cerebrospinal fluid volume41. In patients complaining of orthostatic headache and suspected cerebrospinal fluid hypovolemia, upright CT may reveal dilated intracranial venous structures compared with the supine position. Therefore, upright CT has the potential to increase the detection sensitivity for intracranial hypotension. Further study of upright CT for patients with such diseases is needed.
Asymmetrical venous drainage from the brain has been reported previously. The transverse sinus and IJV are often right-side dominant42–45, consistent with the results of the present study. However, there have been no reports of the ACV that show a clear laterality46. In the present study, no laterality was found in the ACV in the supine position, but the laterality became apparent in the upright position. This is because the venous channel was opened in the upright position; therefore, the ACV could be identified more clearly than in the supine position. It is not clear why these venous structures were often right-side dominant. The cause of IJV asymmetry has been proposed as a relationship between IJV laterality and handedness47, and the reason for transverse sinus asymmetry has been thought to be because the right transverse sinus originates from a prolonged superior sagittal sinus42. From these reports, it is easy to accept that the IPS and ACV were right-side dominant in line with these trends in other larger venous structures.
We acknowledge that there are several limitations to this study. First, the power of the present study to detect a significant postural difference in the PCVs is relatively small due to its small analyzable sample size. Second, cervical vessels, especially the vertebral venous plexus, need to be studied further in an upright position. In the present study, it was difficult to identify the internal and external vertebral venous plexus adjacent to the vertebral bones because we performed a helical single-shot scan in the recirculation phase. Third, blood velocity or blood flow in an upright position, which is essential for understanding cerebral hemodynamics, could not be evaluated in this study. Although we could not translate our results of morphological changes directly into blood flow or blood volume, these results are assumed to largely reflect hemodynamics in the head and neck.
Venous structure in the head and neck showed different postural changes: cervical veins collapsed, craniocervical junction venous structures connecting with the VVS became more prominent, and intracranial vessels hardly changed in an upright posture compared with a supine posture. From a supine to an upright position, the IJVs and EJVs above the heart collapsed, and venous channels including the ACCs and ACVs opened, switching the main cerebral venous drainage from the IJVs to the VVS. Upright head CT angiography can be useful to investigate hemodynamic changes of the venous system accompanying postural change to understand not only normal physiology but also pathophysiology.
Materials and methods
Statement
The present study was approved by the Keio University School of Medicine Ethics Committee, and written informed consent was obtained from the participants [UMIN Clinical Trials Registry (UMIN-CTR): UMIN000032999] (date of registration 14/06/2018). All methods were carried out in accordance with relevant guidelines and regulations.
Study population
Three men and 3 women in the fourth decade, the same numbers in the fifth decade, and 4 men and 4 women in the sixth decade of life were enrolled in the present study. All participants understood the purpose of the study and cleared the following exclusion criteria: (1) confirmed or suspected pregnancy at the time of the study; (2) asthma or a history of asthma, (3) previous allergic reaction to the contrast materials, (4) abnormal renal function (estimated glomerular filtration rate < 60 ml/min 1.73 m2), (5) history of any clinical disorder, and (6) inability to maintain a stable sitting position. CT scans were performed from August 25, 2018, to February 15, 2019.
Protocol for CT scans
All participants underwent both supine and sitting CT on the same day with an interval of one hour between scans. The orders of scans, i.e., beginning with supine CT or sitting CT, was prospectively randomized in a 1:1 ratio. Upright CT (prototype TSX-401R, Canon Medical Systems, Japan) was developed based on 320-detector row CT (Aquilion ONE, Canon Medical Systems, Japan). Upright CT also has 320-detector rows, and its performance is comparable to that of conventional supine CT as described previously9,10. Thus, both conventional CT and upright CT machines enable continuous or intermittent (repeated) axial scans covering 16 cm per rotation at the same position using 320 detector rows (4D-scan) and helical scans using 80 detector rows.
First, an intravenous line was inserted in the right median cubital vein. Next, a test bolus scan was performed at the level of the carotid bulb to determine the optimal timing of dynamic scans using a 10-ml intravenous injection of nonionic contrast material (OYPALOMIN, iopamidol, Fuji Pharma Co., Ltd., Tokyo, Japan) at a rate of 5 ml/s, followed by a 20-ml injection of saline. Four-dimensional CT angiography (4D-CTA) of the whole head covering a 16-cm length using 320-detector row mode was obtained after a 50-ml bolus injection of contrast material at a rate of 5 ml/sec, followed by a 20-ml injection of saline. 4D-CTA scans consisted of an unenhanced volume scan (scan time: 1 s) 4 s prior to the arrival of contrast material to generate a mask data set for subsequent bone subtraction, followed by intermittent volume scans timed at 0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 23, 26, 29, 32, and 60 s from the arrival of the contrast material, as determined from the test bolus scan. Finally, helical scanning from head to neck in 80-detector mode was performed at a 90-s delay (delayed helical scan). All scans were obtained with a slice thickness of 0.5 mm and a field of view of 24 cm. The voxel size was 0.46 × 0.46 × 0.5 mm3 (0.11 mm3). The other scan parameters were as follows: tube voltage of 80 kV, tube current of 350 mA for mask scans, 150 mA for intermittent scans, and rotation speed of 1.0 s for 4D-CTA scans; tube voltage of 100 kV, image SD 12 for a 5-mm slice thickness (maximum 300 mA, minimum 50 mA), and rotation speed of 0.5 s for delayed helical scans. All participants were instructed to breathe naturally, avoid holding their breath, and close their eyes during each scan.
Data analysis
All CT images were analyzed using the 3-dimensional image analysis system volume analyzer SYNAPSE VINCENT (Fujifilm Medical Co., Ltd., Tokyo, Japan). All measurements were performed in a blinded and randomized manner.
On measurements of cervical vessels, the cross-section of the target vessel was obtained and the area was measured by tracing the edges of the vessels freehand. The cross-sectional areas of the internal carotid artery, IJV, and EJV were measured. The area of the internal carotid artery was measured at the point above the bifurcation of the common carotid artery, and those of the IJV and EJV were obtained at the level of the midcervical portion (Figure S2).
When measuring the intracranial and craniocervical junction vessels, we began by reviewing all multiphase contrast-enhanced images and selecting the appropriate images from each posture in which the CT value in the target vessel was highest. To ensure that exactly the same point of the same vessel was measured in different positions, selected CT images in each posture were almost entirely merged by using the similarity measures for image registration48, and a cross-section of the target vessel was obtained. The maximum CT values in the target vessels were significantly different between the supine and upright postures; therefore, we adopted the following semiautomatic measurement methods instead of the freehand measurement. The surrounding tissue/lumen border and the lumen/cranial bone border were defined as described previously49,50. The area was measured by using the acquired boundary CT values (Figure S3). Cross-sectional areas were measured in the following vessels: intracranial arteries, including the internal carotid artery, middle cerebral artery, vertebral artery, and basilar artery; veins, including cortical vein, precentral cerebellar vein, superficial middle cerebral vein, and internal cerebral vein; venous sinuses, including the superior sagittal sinus, straight sinus, transverse sinus, sigmoid sinus, superior petrosal sinus, and IPS; and craniocervical junction veins, including the ACV, LCV, and PCV (Figure S2). When a target vessel was delineated in either a supine or upright position only, the vessel was considered to be anatomically present; therefore, the measurement when it was not delineated was set to zero. On the other hand, if the target vessel was not delineated in either posture, such cases were not included in the results because it was unclear whether the target vessel was actually present. Venous structures located near the cranial base were not always anatomically present and were often not actually delineated by contrast-enhanced CT, resulting in a smaller sample size, especially for the PCV. The cross-sectional areas of vessels for which quantitative analysis was available were compared between the right and left sides both in the supine and upright positions, and the presence of laterality was analyzed.
Venous plexuses and sinuses, which were difficult to evaluate quantitatively, were analyzed by visual reference and were classified as having poor (−), intermediate (+), or abundant (++) venous blood flow. The cavernous sinus, basilar plexus, pterygoid plexus, ACC, MS, SOCS18, VAVP, and AIVVP were evaluated in this manner (Figure S4).
Except for condylar veins, the cross-sectional area in both the supine and upright positions could be measured, and the average change ratio was calculated according to the following formula:
On the other hand, in many subjects, the condylar veins were poorly detected and could not be measured in the supine position in any phases; therefore, the measurements were set to zero. In those cases, the average change ratio could not be calculated according to the above formula. Thus, the average change ratio of areas of the condylar veins were calculated instead according to the following formula:
Statistics
For all 20 participants, the first analysis was performed by a general neurosurgeon with 6 years of experience. The same reader conducted a second analysis of 10 participants one month after the initial analysis to assess intrarater reliability, and vessel analysis of 10 volunteers was performed by a different general neurosurgeon with 5 years of experience to assess interrater reliability. The intra- and interrater reliability for categorical data were determined using Cohen’s κ. For continuous data, the intraclass correlation coefficient was calculated with the 2-way mixed-effects model estimating absolute agreement.
Statistical analyses were all conducted with SPSS version 25 (IBM Corp., Armonk, NY, USA). A two-sample comparison was performed using a paired t-test, and if the data were not normally distributed, a Wilcoxon signed-rank test was performed. Comparisons of paired categorical data, which were obtained from qualitative analyses of intracranial and craniocervical venous plexuses and sinuses, were performed by McNemar–Bowker tests followed by post hoc McNemar tests. A two-tailed P value of < 0.05 was considered significant. Bonferroni corrections were applied for multiple comparisons in each category of vessels.
Supplementary information
Acknowledgements
This study was partially supported by Japan Society for the Promotion of Science (JSPS) KAKENHI (Grant Numbers 17H04266 and 20K08056). The authors thank the radiological technologist Akihisa Yamazaki and the staff of Canon Medical Systems for technical assistance with the contrast-enhanced CT scans. We are grateful to Kyoko Suzuki for assistance with the SYNAPSE VINCENT analysis, and we also wish to thank Ryo Takemura, a specially appointed assistant professor at Keio University Hospital Clinical and Translational Research Center, for assistance with the statistical analysis.
Abbreviations
- ACC
Anterior condylar confluence
- ACV
Anterior condylar vein
- AIVVP
Anterior internal vertebral venous plexus
- CT
Computed tomography
- EJV
External jugular vein
- ICP
Intracranial pressure
- IPS
Inferior petrosal sinus
- IJV
Internal jugular vein
- LCV
Lateral condylar vein
- MRI
Magnetic resonance imaging
- MS
Marginal sinus
- PCV
Posterior condylar vein
- SOCS
Suboccipital cavernous sinus
- SS
Sigmoid sinus
- VAVP
Vertebral artery venous plexus
- VVS
Vertebral venous system
Author contributions
K.K., Y.Y., M.Y., and Y.Y. conducted all CT scans. K.K., K.Y., and H.F conducted data analyses. K.K., H.F., K.Y., M.T., and M.J designed the clinical study. K.K., M.T., and M.J. wrote the paper. All authors reviewed the manuscript.
Data availability
The datasets generated during and/or analyzed during the current study are not publicly available due to the limitation that the data can be viewed only in the laboratory in our institution but are available from the corresponding author on reasonable request with the limitation of browsing in our facility.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Masahiro Toda, Email: todam@keio.jp.
Masahiro Jinzaki, Email: jinzaki@rad.med.keio.ac.jp.
Supplementary information
is available for this paper at 10.1038/s41598-020-73658-0.
References
- 1.Jinzaki M, et al. Comparison of CT urography and excretory urography in the detection and localization of urothelial carcinoma of the upper urinary tract. AJR. 2011;196:1102–1109. doi: 10.2214/ajr.10.5249. [DOI] [PubMed] [Google Scholar]
- 2.Schroeder T, et al. Evaluation of living liver donors with an all-inclusive 3D multi-detector row CT protocol. Radiology. 2006;238:900–910. doi: 10.1148/radiol.2382050133. [DOI] [PubMed] [Google Scholar]
- 3.Pickhardt PJ, et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N. Engl. J. Med. 2003;349:2191–2200. doi: 10.1056/NEJMoa031618. [DOI] [PubMed] [Google Scholar]
- 4.McTavish JD, Jinzaki M, Zou KH, Nawfel RD, Silverman SG. Multi-detector row CT urography: comparison of strategies for depicting the normal urinary collecting system. Radiology. 2002;225:783–790. doi: 10.1148/radiol.2253011515. [DOI] [PubMed] [Google Scholar]
- 5.Chow LC, Rubin GD. CT angiography of the arterial system. Radiol. Clin. North Am. 2002;40:729–749. doi: 10.1016/S0033-8389(02)00020-9. [DOI] [PubMed] [Google Scholar]
- 6.Caoili EM, et al. Helical CT cholangiography with three-dimensional volume rendering using an oral biliary contrast agent: feasibility of a novel technique. AJR. 2000;174:487–492. doi: 10.2214/ajr.174.2.1740487. [DOI] [PubMed] [Google Scholar]
- 7.Naidich DP, Harkin TJ. Airways and lung: correlation of CT with fiberoptic bronchoscopy. Radiology. 1995;197:1–12. doi: 10.1148/radiology.197.1.7568805. [DOI] [PubMed] [Google Scholar]
- 8.Hounsfield GN. Computerized transverse axial scanning (tomography). 1. Description of system. Br. J. Radiol. 1973;46:1016–1022. doi: 10.1259/0007-1285-46-552-1016. [DOI] [PubMed] [Google Scholar]
- 9.Yamada Y, et al. Differences in lung and lobe volumes between supine and standing positions scanned with conventional and newly developed 320-detector-row upright CT: intra-individual comparison. Respiration. 2020 doi: 10.1159/000507265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jinzaki MYY, Nagura T, Nakahara T, Yokoyama Y, Narita K, Ogihara N, Yamada M. Development of Upright CT with area detector for whole body scans: phantom study, efficacy on workflow, effect of gravity on human body, and potential clinical impact. Invest. Radiol. 2019;14:355. doi: 10.1097/RLI.0000000000000603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Tobinick E, Vega CP. The cerebrospinal venous system: anatomy, physiology, and clinical implications. MedGenMed. 2006;8:53. [PubMed] [Google Scholar]
- 12.Muller HR, Hinn G, Buser MW. Internal jugular venous flow measurement by means of a duplex scanner. J. Ultrasound Med. 1990;9:261–265. doi: 10.7863/jum.1990.9.5.261. [DOI] [PubMed] [Google Scholar]
- 13.Epstein HM, Linde HW, Crampton AR, Ciric IS, Eckenhoff JE. The vertebral venous plexus as a major cerebral venous outflow tract. Anesthesiology. 1970;32:332–337. doi: 10.1097/00000542-197004000-00007. [DOI] [PubMed] [Google Scholar]
- 14.Manuel Valdueza J, von Münster T, Hoffman O, Schreiber S, Max Einhäupl K. Postural dependency of the cerebral venous outflow. The Lancet. 2000;355:200–201. doi: 10.1016/s0140-6736(99)04804-7. [DOI] [PubMed] [Google Scholar]
- 15.Eckenhoff JE. The physiologic significance of the vertebral venous plexus. Surg. Gynecol. Obstet. 1970;131:72–78. [PubMed] [Google Scholar]
- 16.Nathoo N, Caris EC, Wiener JA, Mendel E. History of the vertebral venous plexus and the significant contributions of Breschet and Batson. Neurosurgery. 2011;69:1007–1014. doi: 10.1227/NEU.0b013e3182274865. [DOI] [PubMed] [Google Scholar]
- 17.San Millan Ruiz D, et al. The craniocervical venous system in relation to cerebral venous drainage. AJNR. 2002;23:1500–1508. [PMC free article] [PubMed] [Google Scholar]
- 18.Arnautovic KI, Al-Mefty O, Pait TG, Krisht AF, Husain MM. The suboccipital cavernous sinus. J. Neurosurg. 1997;86:252–262. doi: 10.3171/jns.1997.86.2.0252. [DOI] [PubMed] [Google Scholar]
- 19.Holmlund P, et al. Venous collapse regulates intracranial pressure in upright body positions. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2018;314:R377–r385. doi: 10.1152/ajpregu.00291.2017. [DOI] [PubMed] [Google Scholar]
- 20.Qureshi AI, Saleem MA, Naveed O, Qureshi MA, Wallery SS. Upright catheter-based cerebral angiography. J. Vasc. Interv. Neurol. 2017;9:14–19. [PMC free article] [PubMed] [Google Scholar]
- 21.Ciuti G, Righi D, Forzoni L, Fabbri A, Pignone AM. Differences between internal jugular vein and vertebral vein flow examined in real time with the use of multigate ultrasound color Doppler. AJNR. 2013;34:2000–2004. doi: 10.3174/ajnr.A3557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Niggemann P, et al. Positional venous MR angiography: an operator-independent tool to evaluate cerebral venous outflow hemodynamics. AJNR. 2012;33:246–251. doi: 10.3174/ajnr.A2774. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Niggemann P, et al. Position dependent changes of the cerebral venous drainage–implications for the imaging of the cervical spine. Cent. Eur. Neurosurg. 2011;72:32–37. doi: 10.1055/s-0030-1253348. [DOI] [PubMed] [Google Scholar]
- 24.Alperin N, Lee SH, Sivaramakrishnan A, Hushek SG. Quantifying the effect of posture on intracranial physiology in humans by MRI flow studies. J. Magn. Reson. Imaging. 2005;22:591–596. doi: 10.1002/jmri.20427. [DOI] [PubMed] [Google Scholar]
- 25.Dilenge D, Perey B. An angiographic study of the meningorachidian venous system. Radiology. 1973;108:333–337. doi: 10.1148/108.2.333. [DOI] [PubMed] [Google Scholar]
- 26.Zamboni P, et al. Venous collateral circulation of the extracranial cerebrospinal outflow routes. Curr. Neurovasc. Res. 2009;6:204–212. doi: 10.2174/156720209788970054. [DOI] [PubMed] [Google Scholar]
- 27.Verbree J, et al. Middle cerebral artery diameter changes during rhythmic handgrip exercise in humans. J. Cereb. Blood Flow Metab. 2017;37:2921–2927. doi: 10.1177/0271678X16679419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Verbree J, et al. Assessment of middle cerebral artery diameter during hypocapnia and hypercapnia in humans using ultra-high-field MRI. J. Appl. Physiol. 2014;117:1084–1089. doi: 10.1152/japplphysiol.00651.2014. [DOI] [PubMed] [Google Scholar]
- 29.Coverdale NS, Gati JS, Opalevych O, Perrotta A, Shoemaker JK. Cerebral blood flow velocity underestimates cerebral blood flow during modest hypercapnia and hypocapnia. J. Appl. Physiol. 2014;117:1090–1096. doi: 10.1152/japplphysiol.00285.2014. [DOI] [PubMed] [Google Scholar]
- 30.Alperin N, Hushek SG, Lee SH, Sivaramakrishnan A, Lichtor T. MRI study of cerebral blood flow and CSF flow dynamics in an upright posture: the effect of posture on the intracranial compliance and pressure. Acta Neurochir. Suppl. 2005;95:177–181. doi: 10.1007/3-211-32318-X_38. [DOI] [PubMed] [Google Scholar]
- 31.Fultz NE, et al. Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep. Science. 2019;366:628–631. doi: 10.1126/science.aax5440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Haughton V, Mardal KA. Spinal fluid biomechanics and imaging: an update for neuroradiologists. AJNR. 2014;35:1864–1869. doi: 10.3174/ajnr.A4023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Barami K, Sood S. The cerebral venous system and the postural regulation of intracranial pressure: implications in the management of patients with cerebrospinal fluid diversion. Childs Nerv. Syst. 2016;32:599–607. doi: 10.1007/s00381-015-3010-1. [DOI] [PubMed] [Google Scholar]
- 34.Barami K. Cerebral venous overdrainage: an under-recognized complication of cerebrospinal fluid diversion. Neurosurg. Focus. 2016;41:E9. doi: 10.3171/2016.6.Focus16172. [DOI] [PubMed] [Google Scholar]
- 35.Chapman PH, Cosman ER, Arnold MA. The relationship between ventricular fluid pressure and body position in normal subjects and subjects with shunts: a telemetric study. Neurosurgery. 1990;26:181–189. doi: 10.1097/00006123-199002000-00001. [DOI] [PubMed] [Google Scholar]
- 36.Holmlund P, et al. Human jugular vein collapse in the upright posture: implications for postural intracranial pressure regulation. Fluids Barriers CNS. 2017;14:17. doi: 10.1186/s12987-017-0065-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Qvarlander S, Sundstrom N, Malm J, Eklund A. Postural effects on intracranial pressure: modeling and clinical evaluation. J. Appl. Physiol. 2013;1985(115):1474–1480. doi: 10.1152/japplphysiol.00711.2013. [DOI] [PubMed] [Google Scholar]
- 38.Lawley JS, et al. Effect of gravity and microgravity on intracranial pressure. J. Physiol. 2017;595:2115–2127. doi: 10.1113/jp273557. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Biousse V, Bruce BB, Newman NJ. Update on the pathophysiology and management of idiopathic intracranial hypertension. J. Neurol. Neurosurg. Psychiatry. 2012;83:488–494. doi: 10.1136/jnnp-2011-302029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.De Simone R, Ranieri A, Montella S, Bilo L, Cautiero F. The role of dural sinus stenosis in idiopathic intracranial hypertension pathogenesis: the self-limiting venous collapse feedback-loop model. Panminerva Med. 2014;56:201–209. [PubMed] [Google Scholar]
- 41.Farb RI, Forghani R, Lee SK, Mikulis DJ, Agid R. The venous distension sign: a diagnostic sign of intracranial hypotension at MR imaging of the brain. AJNR. 2007;28:1489–1493. doi: 10.3174/ajnr.A0621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Fofi L, et al. Cerebral transverse sinus morphology as detected by MR venography in patients with chronic migraine. Headache J. Head Face Pain. 2012;52:1254–1261. doi: 10.1111/j.1526-4610.2012.02154.x. [DOI] [PubMed] [Google Scholar]
- 43.Tartière D, Seguin P, Juhel C, Laviolle B, Mallédant Y. Estimation of the diameter and cross-sectional area of the internal jugular veins in adult patients. Crit. Care. 2009;13:R197. doi: 10.1186/cc8200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Alper F, et al. Importance of anatomical asymmetries of transverse sinuses: an MR venographic study. Cerebrovas. Dis. 2004;18:236–239. doi: 10.1159/000079960. [DOI] [PubMed] [Google Scholar]
- 45.Lichtenstein D, et al. The Internal jugular veins are asymmetric. Usefulness of ultrasound before catheterization. Intensive Care Med. 2001;27:301–305. doi: 10.1007/s001340000792. [DOI] [PubMed] [Google Scholar]
- 46.Tanoue S, et al. Venous structures at the craniocervical junction: anatomical variations evaluated by multidetector row CT. Br. J. Radiol. 2010;83:831–840. doi: 10.1259/bjr/85248833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Adams WM, Jones RL, Chavda SV, Pahor AL. CT assessment of jugular foramen dominance and its association with hand preference. J. Laryngol. Otol. 1997;111:290–292. doi: 10.1017/s0022215100137120. [DOI] [PubMed] [Google Scholar]
- 48.Holden M, et al. Voxel similarity measures for 3-D serial MR brain image registration. IEEE Trans. Med. Imaging. 2000;19:94–102. doi: 10.1109/42.836369. [DOI] [PubMed] [Google Scholar]
- 49.Yamada M, et al. Detection of a coronary artery vessel wall: performance of 0.3 mm fine-cell detector computed tomography—a phantom study. Phys. Med. Biol. 2011;56:5235–5247. doi: 10.1088/0031-9155/56/16/010. [DOI] [PubMed] [Google Scholar]
- 50.Hermiller JB, et al. Quantitative and qualitative coronary angiographic analysis: review of methods, utility, and limitations. Cathet. Cardiovasc. Diagn. 1992;25:110–131. doi: 10.1002/ccd.1810250207. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated during and/or analyzed during the current study are not publicly available due to the limitation that the data can be viewed only in the laboratory in our institution but are available from the corresponding author on reasonable request with the limitation of browsing in our facility.