J Neurol Surg A Cent Eur Neurosurg 2021; 82(05): 424-429
DOI: 10.1055/s-0040-1721006
Original Article

A Supplemental Technique for Preoperative Evaluation of Giant Intracranial Aneurysm

Hua-wei Wang*
1   Chinese PLA General Hospital, Neurosurgery, Beijing, China
,
Chen Wu*
1   Chinese PLA General Hospital, Neurosurgery, Beijing, China
,
Zhe Xue*
1   Chinese PLA General Hospital, Neurosurgery, Beijing, China
,
Xu-jun Shu
1   Chinese PLA General Hospital, Neurosurgery, Beijing, China
,
Zheng-hui Sun
1   Chinese PLA General Hospital, Neurosurgery, Beijing, China
› Author Affiliations
 

Abstract

Background Preoperative planning mainly relies on digital subtraction angiography (DSA) and computed tomography angiography. However, neither technique can reveal thrombi in giant intracranial aneurysms (GIAs). In this study, we aimed to reconstruct the circulating and noncirculating parts of GIAs with the time-of-flight (TOF) and motion-sensitized driven-equilibrium (MSDE) sequences with 3D Slicer to reveal an integrated presentation of GIAs, compare its accuracy, and validate the usefulness for preoperative planning.

Material and Methods Patients with GIAs who were treated with microsurgery in our department were included in this study. Both the TOF and MSDE sequence data for each patient were loaded into 3D Slicer for reconstruction and segmentation. The parameters measured by 3D Slicer were compared with those measured by DSA.

Results The mean diameter for all GIAs was 28.7 ± 1.5 mm (range, 25.9–31.9 mm). The mean diameter for all GIAs measured by DSA and 3D Slicer was 24.46 ± 5.25 and 28.66 ± 1.48 mm, respectively (t = 4.948, p < 0.01). When only the nonthrombotic GIAs were included, the mean diameter measured by DSA and 3D Slicer was 28.69 ± 2.03 and 28.97 ± 1.79 mm, respectively (t = 1.023, p = 0.323). The mean aneurysmal volume was 8,292.6 ± 1,175.1 mm3 and the mean thrombotic volume was 3,590.0 ± 1,003.7 mm3.

Conclusion The MSDE sequence brings diagnostic benefits as a comparison to other MRI sequences. Reconstruction of GIAs with 3D Slicer is a low-cost, dependable, and useful supplemental technique for surgical planning.


#

Introduction

Giant intracranial aneurysms (GIAs) are defined as aneurysms of >25 mm in diameter and constitute 2.5 to 5.0% of all intracranial aneurysms.[1] [2] [3] GIAs are more tumorlike than small aneurysms. The most common clinical presentation of a GIA is a local mass effect resulting in cranial nerve palsy, visual field defects, or limb weakness.[2] [4] Endovascular treatment for GIAs is limited due to its failure to relieve such mass effects, high cost for more coils, and high complication rate.[5] Thus, in certain cases, open surgery may be the best choice. However, GIAs have always been one of the most difficult cerebrovascular lesions to surgically manage. Despite the advances in microsurgical techniques, the corresponding surgical morbidity and mortality rates have remained as high as 20%.[5] [6] Therefore, meticulous imaging studies and individualized planning are required before surgery.

In the clinical setting, preoperative planning mainly involves digital subtraction angiography (DSA) and computed tomography angiography (CTA), which can always provide precise information about the circulating parts of GIAs and their patent arteries. However, neither examination technique can reveal the noncirculating parts of GIAs, such as thrombi. Spontaneous thrombotic aneurysms can constitute up to 60% of all GIAs[3] [7]; thus, the diameters and real morphology of GIAs are often likely to be underestimated by DSA or CTA.[8] Additionally, because they behave like tumors, GIAs can compress the surrounding parenchyma and shift the brain structures from their normal locations. These changes also cannot be recognized only by DSA or CTA; therefore, other techniques are required to provide more information about GIAs for preoperative planning.

The utility of magnetic resonance imaging (MRI), a useful noninvasive examination technique, has been increasing in the evaluation of GIAs.[8] The time-of-flight (TOF) sequence, mainly referred to as magnetic resonance angiography (MRA), has an ability to visualize circulating parts of aneurysms similar to the abilities of DSA and CTA.[9] [10] Motion-sensitized driven equilibrium (MSDE) is another established sequence that can distinguish GIA thrombi from artifacts,[11] [12] many of which are caused by turbulent blood flow.[8] [13] 3D Slicer (http://www.slicer.org; [Fig. 1]) is a free software for medical image visualization and analysis. This software supports image segmentation, registration, and multimodal visualization. In the present study, we reconstructed the circulating and noncirculating parts of GIAs with TOF and MSDE sequences by 3D Slicer (Version 4.6.2 for Mac OS X) to reveal an integrated presentation of GIAs and validate its usefulness for preoperative planning.

Zoom Image
Fig. 1 The (a) time of flight (TOF) and (b) motion-sensitized driven-equilibrium (MSDE) sequence data were imported into 3D Slicer in Digital Imaging and Communications in Medicine (DICOM) format. Three compositions were identified after comparison at the same anatomical slides between the two sequences: blood flow, thrombi (purple arrows), and artifacts (black arrow). (c) The giant intracranial aneurysm (GIA) was first automatically marked with the Threshold Effect tool. (d) Next, the Paint Effect tool was used to manually prune and modify the structures. Finally, (e) the segmentation was converted to a 3D model and (f) this was similar to digital subtraction angiography (DSA) at the same angle. Integration of the thrombotic and circulatory parts together produced a whole model of the GIA and allowed for extraction of its (g) diameter and (h) volume. The reconstructed GIA was integrated (i) with slide images and (j) into a head model to obtain more information. (k) The GIA model could be rotated at any angle, and two arteries (black and white arrows) could be verified in the surgical view angle. (l) The arteries (black and white arrows) could be confirmed during surgery in the same view.

#

Material and Methods

Patients

After being approved by the institutional ethics committee of Chinese PLA general hospital, we retrospectively reviewed patients with GIAs who were treated surgically in our department between July 2015 and July 2018. Only the patients with preoperative TOF and MSDE MRI sequence and DSA imaging were included. Thrombi were also counted as parts of GIAs when measuring diameters. The maximum diameters were determined by both DSA and MRI. The exclusion criteria were (1) ruptured aneurysms, regardless of whether the GIAs were responsible for the hemorrhage and (2) previous treatment of the GIAs by microsurgery or endovascular intervention. At last, 31 consecutive patients with 31 GIAs were included in the study.


#

Segmentation and Measurement

Both the TOF and MSDE sequence data for every case were loaded into 3D Slicer, which was installed in a personal computer (MacBook Pro, 2.6 GHz Intel Core i5; Apple Inc., Cupertino, California, United States). GIA reconstructions were independently performed by two neurosurgeons who received the same guided training on the reconstruction procedure until they attained adequate proficiency. The reconstructions were mainly based on TOF sequences. Three compositions were identified in the TOF sequences: blood flow, thrombi, and artifacts. The MSDE sequences were used as a reference for distinguishing thrombi from artifacts in the TOF sequences.

The Threshold Effect tool was applied to automatically mark the circulatory parts of the GIAs and the cerebrovascular circulation ([Figs. 1] and [2]). Manual drawing was then performed with the Paint Effect tool to prune or modify the colored structures slice by slice. All of the manual procedures covered ∼25 to 50 slices according to the range of thrombi or artifacts in the GIAs. Finally, the resulting segmentation was converted to a 3D model and rendered with a smooth contour by the Merge and Build tool. Information on the volume of the thrombi and aneurysms could be instantly obtained from the model. The maximum diameters were measured by the two points that were farthest apart from each other within the reconstructed GIAs. Both values measured by the two independent neurosurgeons were recorded, and the average was calculated as the final result. The time required for every reconstruction was recorded.

Zoom Image
Fig. 2 Magnetic resonance imaging (MRI) examination of (a) time of flight (TOF) and (b) motion-sensitized driven-equilibrium (MSDE) sequences confirmed a nonthrombotic giant intracranial aneurysm (GIA) affected by artifacts (arrows). (c) First, the GIA was automatically marked with the Threshold Effect tool. (d) We then manually pruned and painted the whole aneurysm with Structure 17 using the Paint Effect tool. (e) Finally, the segmentation was converted to a 3D model with a smooth contour. (f) The morphology on 2D digital subtraction angiography (DSA) also confirmed the nonthrombotic GIA. (g) We then integrated the model into the reconstructed skull with semitransparency and rotated it to the neurosurgeon's view. The view could be adjusted to any angle with the computer mouse. Both the (g) reconstructed model and (h) intraoperative fluorescence contrast image confirmed a surrounding perforator artery (arrows), proving the accuracy and usefulness of the reconstruction by 3D Slicer for preoperative planning.

For the 3D DSA, images were reconstructed by virtual reality on an Advantage Workstation (GE Healthcare). DSA data were stored in the workstation, and the GIA parameters were measured by a neuroradiologist who did not participate in the parameter measurement by 3D Slicer.


#

Statistical Analysis

After confirmation of the data distribution, the diameters of the GIAs were determined (median or mean ± standard deviation), and a paired t-test was used for comparison between DSA and 3D reconstruction. To test for interobserver agreement, the intraclass correlation coefficient (ICC) for DSA and 3D reconstruction was calculated using a one- and two-way random-effects model, respectively, and was used as evidence of reconstructive stability. The coincidence rate for a thrombus verified between the preoperative and postoperative periods was expressed as a percentage. All statistical analyses were performed with SPSS Statistics 22 (IBM Corp., Armonk, New York, United States). A value of p < 0.05 was considered statistically significant.


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#

Results

The patients comprised 17 women (55%) and 14 men (45%), with a mean age of 46.7 years (range, 23–67 years). Among all GIAs, 15 (48.4%) were identified as thrombotic aneurysms. The mean diameter of all GIAs was 28.7 ± 1.5 mm (range, 25.9–31.9 mm). Most GIAs (93.5%) were located in the anterior circulation; only two were located in the posterior circulation. In general, most clinical presentations of GIAs were attributed to a mass effect. Among all patients, 12 presented with a vision defect, 8 with headache, 2 with ptosis, 2 with limb weakness, 2 with epilepsy, and 1 with hypomnesia. The remaining four patients had no obvious symptoms, and their GIAs were incidentally found. The patient and aneurysm characteristics are summarized in [Table 1].

Table 1

Patient and aneurysm characteristics

Characteristics

Number of GIAs

31

Patient sex, F/M

17/14

Patient age (y), mean (min, max)

46.7 (23, 67)

GIA location, number (%)

 Anterior circulation

29 (93.5%)

 Posterior circulation

2 (6.5%)

Aneurysmal character, number (%)

 Thrombotic

15 (48.4%)

 Nonthrombotic

16 (51.6%)

GIA diameter, mean ± SD (mm)

 DSA

24.46 ± 5.25

 3D Slicer reconstruction

28.67 ± 1.48

Volume, mean ± SD (mm3)

 Thrombus

3,590 ± 1,003.7

 GIAs

8292.6 ± 1,175.1

Clinical presentation, number (%)

 Vision defect

12 (38.7%)

 Headache

8 (25.8%)

 Ptosis

2 (6.5%)

 Limb weakness

2 (6.5%)

 Epilepsy

2 (6.5%)

 Hypomnesia

1 (3.2%)

 Negative

4 (12.9%)

Abbreviations: GIA, giant intracranial aneurysm; F, female; M, male; DSA, digital subtraction angiography.


The interobserver agreement was excellent for aneurysmal diameter and volume measurement by DSA or 3D Slicer reconstruction. The ICC for diameter by DSA, diameter by 3D Slicer, and volume by 3D Slicer was 0.98, 0.87, and 0.98, respectively, and all corresponding p values were <0.001 ([Table 2]). The mean diameter for all GIAs measured by DSA and 3D Slicer was 24.46 ± 5.25 and 28.66 ± 1.48 mm, respectively (t = 4.948, p < 0.001). When only nonthrombotic GIAs were included, the mean diameter measured by DSA and 3D Slicer was 28.69 ± 2.03 and 28.97 ± 1.79 mm, respectively (t = 1.023, p = 0.323; [Table 3]). The mean aneurysmal volume was 8,292.6 ± 1,175.1 mm3 and the mean thrombotic volume was 3,590.0 ± 1,003.7 mm3. For thrombotic GIAs, the thrombus volume constituted 46.89 ± 14.58% of the total aneurysm volume. The average time for all reconstruction procedures was ∼30 minutes.

Table 2

The estimation of ICC between measurer

Type

ICC

p

Diameter

DSA

One-way random

0.98

< 0.001

3D Slicer reconstruction

Two-way random

0.87

< 0.001

Aneurysmal volume

Two-way random

0.98

< 0.001

Abbreviations: ICC, intraclass correlation coefficient; DSA, digital subtraction angiography


Table 3

Paired t-test between two methods for diameter measurement

DSA (mm)

3D Slicer (mm)

t

p

All GIAs

24.46 ± 5.25

28.66 ± 1.48

4.948

< 0.001

GIAs without thrombus

28.69 ± 2.03

28.97 ± 1.79

1.023

0.323

Abbreviations: DSA, digital subtraction angiography; GIAs, giant intracranial aneurysms.



#

Discussion

Because they are tumorlike, GIAs often present with paroxysmal neurologic symptoms that are associated with a mass effect,[2] [4] [14] and this may limit the ability to treat GIAs with endovascular intervention. In certain cases, open surgery may be the best choice. However, GIAs are always challenging to manage microsurgically. Therefore, meticulous imaging studies and individualized planning are required before surgery. Therapeutic planning for GIAs requires comprehensive images. DSA and CTA, both standard techniques, cannot reveal a thrombus in a GIA,[8] [13] which influences the accuracy of preoperative planning. The aneurysmal reconstruction with TOF and MSDE sequences by 3D Slicer in our series is a supplemental technique for surgical planning.

3D Slicer is a free open-source, extensible software application for medical image computing and segmentation.[15] It can be used for quantitative assessment of the aneurysmal and thrombotic volume, which may be an independent risk factor for a poor outcome.[16] [17] The software allows us to not only measure the whole volume of the GIA but also split the volume into thrombotic and nonthrombotic portions ([Table 1]; [Fig. 1], [2]). Because they are compressed by peripheral brain tissue, progressive GIAs do not always present as an increase in size but instead by a change in volume.[18] [19] In such cases, the change in aneurysmal volume over time as measured by 3D Slicer can provide evidence for a high rupture risk, which is especially important for conservatively managed GIAs. In our series, all volumes were measured with the TOF sequence.

The TOF MRA imaging is often affected by artifacts resulting from slow and swirling blood flow in GIAs[8] [13] [20] ([Fig. 2]). MSDE was recently proposed for fast vessel wall imaging with accurate blood signal suppression and is mostly used for vessel wall imaging at the carotid bifurcation,[12] [21] where swirling flow is also present. Several reports have demonstrated the ability to use MSDE techniques for imaging of vessels in the intracranial region.[22] In the present study, we could have reconstructed the thrombus with the MSDE sequence and integrated the data together with the circulatory portion reconstruction using the TOF sequence. However, the different parameters for the layer thickness between the two sequences could result in an inconsistent volume measurement; therefore, we only used the MSDE sequence as a reference for identification during the reconstructions in this series.

As a free open-source software accessible from the internet, 3D Slicer can run on a personal computer and does not require specialized equipment. Thus, it is easy to access at home or in the operating room. This feature is very important for neurosurgeons. Medical imaging, especially the MRI, is performed by radiologists. Although radiologists can offer neurosurgeons the best images with which to diagnose GIAs, they cannot consider the imaging findings from the neurosurgeon's intraoperative viewpoint. Additionally, traditional 2D images may be adequate for very experienced neurosurgeons, but a less experienced neurosurgeon may have difficulty extracting useful information. Therefore, 3D Slicer helps us to seize the initiative of processing image data to some extent.

The process of reconstruction is also a method with which to learn the anatomical relationship between GIAs and peripheral tissue before surgery, and the reconstructed model can be infused into a brain model and rotated at any angle ([Figs. 1], [2]). From this aspect, 3D Slicer reconstruction can serve as a teaching tool for less experienced neurosurgeons. On the other hand, combined with the popular augmented reality (AR) technology,[23] the reconstructed 3D images may optimize the workflow for surgical procedures by providing essential anatomical information that is entirely integrated into the surgical field. This is really worthy of a further exploration.

This study has some limitations. First, it may have been relatively time-consuming; the average time required for all reconstruction procedures was ∼30 minutes. However, this time decreased as the learning curve progressed. Moreover, the time was dependent on the desired quality of the model. A coarser but adequately usable model for preoperative evaluation could be reconstructed even more rapidly. Second, the 3D Slicer is not approved by the Food and Drug Administration for certain clinical tasks and could only be used as a reference. However, this limitation is double-sided; the packages provide users with plenty of useful tools without any restrictions, as in commercial software. Third, no aneurysms of <25 mm in diameter were included in our series, and the sample size (31 GIAs) was small.


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Conclusion

In conclusion, GIAs are challenging to manage microsurgically, and meticulous imaging studies and individualized surgical planning are required before surgery. The MSDE sequence brings diagnostic benefit as comparison to other MRI sequences. GIA reconstruction with 3D Slicer is a low-cost, dependable, and useful supplemental technique for surgical planning.


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#

Conflict of Interest

None declared.

* These authors contributed equally to this manuscript and should be considered as the co-first authors.


  • References

  • 1 Wiebers DO, Whisnant JP, Huston III J. International Study of Unruptured Intracranial Aneurysms Investigators. et al; Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 2003; 362 (9378): 103-110
  • 2 Choi IS, David C. Giant intracranial aneurysms: development, clinical presentation and treatment. Eur J Radiol 2003; 46 (03) 178-194
  • 3 Vorkapic P, Czech T, Pendl G, Oztürk E, Horaczek A. Clinico-radiological spectrum of giant intracranial aneurysms. Neurosurg Rev 1991; 14 (04) 271-274
  • 4 Hosobuchi Y. Direct surgical treatment of giant intracranial aneurysms. J Neurosurg 1979; 51 (06) 743-756
  • 5 Sharma BS, Gupta A, Ahmad FU, Suri A, Mehta VS. Surgical management of giant intracranial aneurysms. Clin Neurol Neurosurg 2008; 110 (07) 674-681
  • 6 Sughrue ME, Saloner D, Rayz VL, Lawton MT. Giant intracranial aneurysms: evolution of management in a contemporary surgical series. Neurosurgery 2011; 69 (06) 1261-1270 , discussion 1270–1271
  • 7 Teng MM, Nasir Qadri SM, Luo CB, Lirng JF, Chen SS, Chang CY. MR imaging of giant intracranial aneurysm. J Clin Neurosci 2003; 10 (04) 460-464
  • 8 Tollard E, Perot G, Clavier E, Gerardin E. Imaging of giant cerebral aneurysms. Neurochirurgie 2015; 61 (06) 378-384
  • 9 Li MH, Li YD, Tan HQ. et al. Contrast-free MRA at 3.0 T for the detection of intracranial aneurysms. Neurology 2011; 77 (07) 667-676
  • 10 Li MH, Cheng YS, Li YD. et al. Large-cohort comparison between three-dimensional time-of-flight magnetic resonance and rotational digital subtraction angiographies in intracranial aneurysm detection. Stroke 2009; 40 (09) 3127-3129
  • 11 Zhu C, Graves MJ, Yuan J, Sadat U, Gillard JH, Patterson AJ. Optimization of improved motion-sensitized driven-equilibrium (iMSDE) blood suppression for carotid artery wall imaging. J Cardiovasc Magn Reson 2014; 16: 61
  • 12 Wang J, Yarnykh VL, Yuan C. Enhanced image quality in black-blood MRI using the improved motion-sensitized driven-equilibrium (iMSDE) sequence. J Magn Reson Imaging 2010; 31 (05) 1256-1263
  • 13 Schaller B, Lyrer P. Focal neurological deficits following spontaneous thrombosis of unruptured giant aneurysms. Eur Neurol 2002; 47 (03) 175-182
  • 14 Park W, Chung J, Ahn JS, Park JC, Kwun BD. Treatment of large and giant middle cerebral artery aneurysms: risk factors for unfavorable outcomes. World Neurosurg 2017; 102: 301-312
  • 15 Fedorov A, Beichel R, Kalpathy-Cramer J. et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 2012; 30 (09) 1323-1341
  • 16 Sadato A, Hayakawa M, Tanaka T, Hirose Y. Comparison of cerebral aneurysm volumes as determined by digitally measured 3D rotational angiography and approximation from three diameters. Interv Neuroradiol 2011; 17 (02) 154-158
  • 17 Dengler J, Maldaner N, Bijlenga P. Giant Intracranial Aneurysm Study Group. et al; Quantifying unruptured giant intracranial aneurysms by measuring diameter and volume: a comparative analysis of 69 cases. Acta Neurochir (Wien) 2015; 157 (03) 361-368 , discussion 368
  • 18 van Keulen JW, van Prehn J, Prokop M, Moll FL, van Herwaarden JA. Potential value of aneurysm sac volume measurements in addition to diameter measurements after endovascular aneurysm repair. J Endovasc Ther 2009; 16 (04) 506-513
  • 19 Wever JJ, Blankensteijn JD, Mali WP Th M, Eikelboom BC. Maximal aneurysm diameter follow-up is inadequate after endovascular abdominal aortic aneurysm repair. Eur J Vasc Endovasc Surg 2000; 20 (02) 177-182
  • 20 Takhtani D, Dundamadappa S, Puri AS, Wakhloo A. Flow artifact in the anterior communicating artery resembling aneurysm on the time of flight MR angiogram. Acta Radiol 2014; 55 (10) 1253-1257
  • 21 Obara M, Van Cauteren M, Honda M, Imai Y, Kuroda K. Assessment of improved motion-sensitized driven equilibrium (iMSDE) for multi-contrast vessel wall screening. Magn Reson Med Sci 2014; 13 (02) 139-144
  • 22 Obara M, Kuroda K, Wang J. et al. Comparison between two types of improved motion-sensitized driven-equilibrium (iMSDE) for intracranial black-blood imaging at 3.0 tesla. J Magn Reson Imaging 2014; 40 (04) 824-831
  • 23 Karmonik C, Elias SN, Zhang JY. et al. augmented reality with virtual cerebral aneurysms: a feasibility study. World Neurosurg 2018; 119: e617-e622

Address for correspondence

Zhenghui Sun, MD
Chinese PLA General Hospital
Neurosurgery, Beijing
China   

Publication History

Received: 21 June 2019

Accepted: 12 May 2020

Article published online:
14 February 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

  • References

  • 1 Wiebers DO, Whisnant JP, Huston III J. International Study of Unruptured Intracranial Aneurysms Investigators. et al; Unruptured intracranial aneurysms: natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 2003; 362 (9378): 103-110
  • 2 Choi IS, David C. Giant intracranial aneurysms: development, clinical presentation and treatment. Eur J Radiol 2003; 46 (03) 178-194
  • 3 Vorkapic P, Czech T, Pendl G, Oztürk E, Horaczek A. Clinico-radiological spectrum of giant intracranial aneurysms. Neurosurg Rev 1991; 14 (04) 271-274
  • 4 Hosobuchi Y. Direct surgical treatment of giant intracranial aneurysms. J Neurosurg 1979; 51 (06) 743-756
  • 5 Sharma BS, Gupta A, Ahmad FU, Suri A, Mehta VS. Surgical management of giant intracranial aneurysms. Clin Neurol Neurosurg 2008; 110 (07) 674-681
  • 6 Sughrue ME, Saloner D, Rayz VL, Lawton MT. Giant intracranial aneurysms: evolution of management in a contemporary surgical series. Neurosurgery 2011; 69 (06) 1261-1270 , discussion 1270–1271
  • 7 Teng MM, Nasir Qadri SM, Luo CB, Lirng JF, Chen SS, Chang CY. MR imaging of giant intracranial aneurysm. J Clin Neurosci 2003; 10 (04) 460-464
  • 8 Tollard E, Perot G, Clavier E, Gerardin E. Imaging of giant cerebral aneurysms. Neurochirurgie 2015; 61 (06) 378-384
  • 9 Li MH, Li YD, Tan HQ. et al. Contrast-free MRA at 3.0 T for the detection of intracranial aneurysms. Neurology 2011; 77 (07) 667-676
  • 10 Li MH, Cheng YS, Li YD. et al. Large-cohort comparison between three-dimensional time-of-flight magnetic resonance and rotational digital subtraction angiographies in intracranial aneurysm detection. Stroke 2009; 40 (09) 3127-3129
  • 11 Zhu C, Graves MJ, Yuan J, Sadat U, Gillard JH, Patterson AJ. Optimization of improved motion-sensitized driven-equilibrium (iMSDE) blood suppression for carotid artery wall imaging. J Cardiovasc Magn Reson 2014; 16: 61
  • 12 Wang J, Yarnykh VL, Yuan C. Enhanced image quality in black-blood MRI using the improved motion-sensitized driven-equilibrium (iMSDE) sequence. J Magn Reson Imaging 2010; 31 (05) 1256-1263
  • 13 Schaller B, Lyrer P. Focal neurological deficits following spontaneous thrombosis of unruptured giant aneurysms. Eur Neurol 2002; 47 (03) 175-182
  • 14 Park W, Chung J, Ahn JS, Park JC, Kwun BD. Treatment of large and giant middle cerebral artery aneurysms: risk factors for unfavorable outcomes. World Neurosurg 2017; 102: 301-312
  • 15 Fedorov A, Beichel R, Kalpathy-Cramer J. et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging 2012; 30 (09) 1323-1341
  • 16 Sadato A, Hayakawa M, Tanaka T, Hirose Y. Comparison of cerebral aneurysm volumes as determined by digitally measured 3D rotational angiography and approximation from three diameters. Interv Neuroradiol 2011; 17 (02) 154-158
  • 17 Dengler J, Maldaner N, Bijlenga P. Giant Intracranial Aneurysm Study Group. et al; Quantifying unruptured giant intracranial aneurysms by measuring diameter and volume: a comparative analysis of 69 cases. Acta Neurochir (Wien) 2015; 157 (03) 361-368 , discussion 368
  • 18 van Keulen JW, van Prehn J, Prokop M, Moll FL, van Herwaarden JA. Potential value of aneurysm sac volume measurements in addition to diameter measurements after endovascular aneurysm repair. J Endovasc Ther 2009; 16 (04) 506-513
  • 19 Wever JJ, Blankensteijn JD, Mali WP Th M, Eikelboom BC. Maximal aneurysm diameter follow-up is inadequate after endovascular abdominal aortic aneurysm repair. Eur J Vasc Endovasc Surg 2000; 20 (02) 177-182
  • 20 Takhtani D, Dundamadappa S, Puri AS, Wakhloo A. Flow artifact in the anterior communicating artery resembling aneurysm on the time of flight MR angiogram. Acta Radiol 2014; 55 (10) 1253-1257
  • 21 Obara M, Van Cauteren M, Honda M, Imai Y, Kuroda K. Assessment of improved motion-sensitized driven equilibrium (iMSDE) for multi-contrast vessel wall screening. Magn Reson Med Sci 2014; 13 (02) 139-144
  • 22 Obara M, Kuroda K, Wang J. et al. Comparison between two types of improved motion-sensitized driven-equilibrium (iMSDE) for intracranial black-blood imaging at 3.0 tesla. J Magn Reson Imaging 2014; 40 (04) 824-831
  • 23 Karmonik C, Elias SN, Zhang JY. et al. augmented reality with virtual cerebral aneurysms: a feasibility study. World Neurosurg 2018; 119: e617-e622

Zoom Image
Fig. 1 The (a) time of flight (TOF) and (b) motion-sensitized driven-equilibrium (MSDE) sequence data were imported into 3D Slicer in Digital Imaging and Communications in Medicine (DICOM) format. Three compositions were identified after comparison at the same anatomical slides between the two sequences: blood flow, thrombi (purple arrows), and artifacts (black arrow). (c) The giant intracranial aneurysm (GIA) was first automatically marked with the Threshold Effect tool. (d) Next, the Paint Effect tool was used to manually prune and modify the structures. Finally, (e) the segmentation was converted to a 3D model and (f) this was similar to digital subtraction angiography (DSA) at the same angle. Integration of the thrombotic and circulatory parts together produced a whole model of the GIA and allowed for extraction of its (g) diameter and (h) volume. The reconstructed GIA was integrated (i) with slide images and (j) into a head model to obtain more information. (k) The GIA model could be rotated at any angle, and two arteries (black and white arrows) could be verified in the surgical view angle. (l) The arteries (black and white arrows) could be confirmed during surgery in the same view.
Zoom Image
Fig. 2 Magnetic resonance imaging (MRI) examination of (a) time of flight (TOF) and (b) motion-sensitized driven-equilibrium (MSDE) sequences confirmed a nonthrombotic giant intracranial aneurysm (GIA) affected by artifacts (arrows). (c) First, the GIA was automatically marked with the Threshold Effect tool. (d) We then manually pruned and painted the whole aneurysm with Structure 17 using the Paint Effect tool. (e) Finally, the segmentation was converted to a 3D model with a smooth contour. (f) The morphology on 2D digital subtraction angiography (DSA) also confirmed the nonthrombotic GIA. (g) We then integrated the model into the reconstructed skull with semitransparency and rotated it to the neurosurgeon's view. The view could be adjusted to any angle with the computer mouse. Both the (g) reconstructed model and (h) intraoperative fluorescence contrast image confirmed a surrounding perforator artery (arrows), proving the accuracy and usefulness of the reconstruction by 3D Slicer for preoperative planning.