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J NeuroIntervent Surg 5:69-72 doi:10.1136/neurintsurg-2011-010170
  • Neuroimaging

Frameless multimodal image guidance of localized convection-enhanced delivery of therapeutics in the brain

Open Access
  1. Matthew J Gounis1
  1. 1Department of Radiology, University of Massachusetts, Worcester, Massachusetts, USA
  2. 2Department of Neurosurgery, University of Massachusetts, Worcester, Massachusetts, USA
  3. 3Department of Microbiology and Physiological Systems, Gene Therapy Center, University of Massachusetts, Worcester, Massachusetts, USA
  4. 4Department of Medicine, Cell Biology, University of Massachusetts, Worcester, Massachusetts, USA
  1. Correspondence to Dr Matthew Gounis, Department of Radiology, University of Massachusetts, 55 Lake Ave N, SA-107R, Worcester, MA 01655, USA; matthew.gounis{at}umassmed.edu
  1. Contributors IMJvdB: study design, data collection, data analysis, manuscript preparation. RPM: study design, operating neurosurgeon, manuscript editing. GG: study design, material production, manuscript editing. MS-E: study design, manuscript editing. NA: PI. MG: study design, data analysis, manuscript preparation.

  • Received 21 October 2011
  • Accepted 22 November 2011
  • Published Online First 22 December 2011

Abstract

Introduction Convection-enhanced delivery (CED) has been shown to be an effective method of administering macromolecular compounds into the brain that are unable to cross the blood-brain barrier. Because the administration is highly localized, accurate cannula placement by minimally invasive surgery is an important requisite. This paper reports on the use of an angiographic c-arm system which enables truly frameless multimodal image guidance during CED surgery.

Methods A microcannula was placed into the striatum of five sheep under real-time fluoroscopic guidance using imaging data previously acquired by cone beam computed tomography (CBCT) and MRI, enabling three-dimensional navigation. After introduction of the cannula, high resolution CBCT was performed and registered with MRI to confirm the position of the cannula tip and to make adjustments as necessary. Adeno-associated viral vector-10, designed to deliver small-hairpin micro RNA (shRNAmir), was mixed with 2.0 mM gadolinium (Gd) and infused at a rate of 3 μl/min for a total of 100 μl. Upon completion, the animals were transferred to an MR scanner to assess the approximate distribution by measuring the volume of spread of Gd.

Results The cannula was successfully introduced under multimodal image guidance. High resolution CBCT enabled validation of the cannula position and Gd-enhanced MRI after CED confirmed localized administration of the therapy.

Conclusion A microcannula for CED was introduced into the striatum of five sheep under multimodal image guidance. The non-alloy 300 μm diameter cannula tip was well visualized using CBCT, enabling confirmation of the position of the end of the tip in the area of interest.

Keywords:

Introduction

Recent developments in genetics and virology have resulted in viral vectors, antibodies and immunotoxins showing promise as therapeutic agents for neurodegenerative disorders such as Huntington's or Parkinson's disease. Although studies have shown their efficacy in preclinical trials, the administration of these new therapeutic agents remains a challenge because their macromolecular size prevents them from crossing the blood-brain barrier, ruling out systemic administration.1 ,2 Intrathecal administration, which is completely driven by free diffusion, leads to non-localized delivery.

In convention-enhanced delivery (CED), therapeutic compounds are forced directly into the region of interest through a needle or cannula by applying a low pressure gradient.3–11 A great advantage of CED-based therapy is that it is not limited by the molecular size of the compound, and localized delivery lowers the required volume compared with systemic administration, thus limiting toxicity. Since CED is a localized technique, it is an important requirement that the cannula tip is placed in the target area with a high level of accuracy.

The placement of cannulas, probes and needles is commonly performed by minimally invasive/stereotactic surgery. These procedures are usually planned using preoperative three-dimensional (3D) patient image data. During the procedure a relationship is established between the image and the patient by a surgical navigation system which enables tracking of surgical tools relative to a fixed reference frame usually attached to the patient. This approach provides high accuracy when a robust relationship between the image and the patient has been established.12 ,13 Although non-invasive methods to obtain this relationship are available, the most reliable methods include fiducial markers or reference frames that are fixed to the skull with surgical screws, which is itself an invasive procedure.

Modern angiography suites are equipped with flat panel c-arm systems that provide two-dimensional (2D) x-ray imaging and also serve as an in situ 3D cone beam CT (CBCT) system. CBCT data are generated by a rotational sweep of the c-arm around the subject, producing a large number of x-ray images. Due to the advancements in flat panel technology and reconstruction software, the image quality is comparable to that of multidetector CT which has enabled the use of numerous applications.14–23 Owing to the geometric calibration of the c-arm system, fluoroscopic and in situ acquired CBCT data are coupled, enabling truly frameless navigation. As a result, CBCT data can be used for preoperative planning and for 3D navigation of the procedure by registration with real-time fluoroscopy. Frameless CBCT guidance with real-time fluoroscopy overlay has been shown to be feasible, safe and reliable for various biopsy and puncture procedures.24–28 Although CBCT provides excellent 3D spatial information, it does not provide sufficient soft tissue contrast to enable accurate placement of CED devices into a specific region of the brain. MRI accommodates such contrast, and MRI guidance during CED-based surgery would therefore be desirable.

A study was undertaken to establish the feasibility of adeno-associated viral vector (AAV) delivery of small-hairpin micro RNA (shRNAmir) for selective knockdown of mutant huntingtin to slow or block the pathogenesis of Huntington's disease.29 To evaluate the safety of the approach and the distribution of AAV-shRNAmir, CED infusions into sheep striatum were performed. In this paper we report on the use of a commercially available truly frameless navigation module (XperGuide, Philips Healthcare, Best, The Netherlands) that enables multimodal image guidance during a CED procedure in a non-invasive manner. Preoperative MRI and CBCT data were registered with real-time fluoroscopy during minimally invasive surgery for CED of this novel therapeutic compound into the striatum of sheep.

Materials and methods

The experiments were approved by our Institutional Animal Care and Use Committee. As a preclinical trial, surgery was performed in order to perform CED into the striatum of five purposely bred sheep (mean weight 26.5 kg). The animals were anesthetized by intramuscular injection of acepromazine (0.05 mg/kg), buprenorphine (0.01 mg/kg), glycopyrrolate (0.01 mg/kg) and thiopental (15.0 mg/kg) and intravenous injection of ketamine (3–6 mg/kg) and diazepam (0.1–0.3 mg/kg). Anesthesia was maintained during the entire procedure. Ventilation was performed mechanically with 2% isoflurane in oxygen. Physiological monitoring including heart rate, blood pressure, arterial oxygen saturation, temperature, end tidal CO2 and blood gases was performed and recorded every 15 min during the procedure.

Prior to surgery, MRI was performed on a 3 Tesla whole body MRI scanner (Achieva, Philips Healthcare) using an eight-channel knee coil to obtain subject-specific data. Multislice T1- and T2-weighted turbo spin echo (TSE) and 3D magnetization prepared rapid gradient echo (MPRAGE) images were acquired with a field of view of 128×128×80 mm3, an in-plane resolution of 1×1 mm and slice thickness of 2 mm. The total imaging time was approximately 25 min. Upon completion, the animals were transferred to the adjacent angiography suite and prepared for sterile surgery. They were secured on the non-radio-opaque table with a surgical beanbag. A non-invasive frame designed to hold and manipulate the access sheath was mounted onto the animal's skull. A single incision and burr hole (0.5 cm diameter) were created approximately 1 cm anterior of the coronal suture and 1 cm mediolateral to the sagittal suture. A metal sheath was inserted into the manipulator with the distal end touching the dura mater. CBCT data were acquired for surgery planning and navigation using an angiographic c-arm system (Allura FD20, Philips Healthcare). Preoperative MRI data were imported into the corresponding work station and registered with CBCT data. The path of the CED microcannula was planned on merged datasets using XperGuide. This dedicated navigation software provides real-time guidance of radio-dense medical devices by fluoroscopic imaging shown relative to 3D multimodal image data and the planned path in a single view. Fluoroscopic data were updated in conjunction with every adjustment of the manipulator in order to see the effects in relation to 3D image data and the planned path. By alternating between the entry view (ie, parallel to the planned path) and progression view (ie, perpendicular to the planned path), both automatically calculated and provided by navigation software, the sheaths were readily aligned with the planned paths. The cannula with a distal tip length of 3.0 mm and outer diameter of 300 μm was introduced and progressed towards the end position without fluoroscopic guidance because the cannula tip was not visible with x-ray imaging. Instead, progression depth measured from the dura mater during the planning phase was applied. The end position of the cannula tip was validated by acquisition of high resolution CBCT data (XperCT) using a 22 cm detector size and an unbinned reconstruction algorithm.19 High resolution CBCT was registered to T2w-TSE data to confirm the position of the cannula tip and, if necessary, the cannula was progressed by distance to the target measured on the fused image data.

Figure 1

Examples of corresponding coronal slices of (A) T2-weighted turbo spin echo (T2w-TSE), (B) T1-weighted turbo spin echo (T1w-TSE), (C) magnetization prepared rapid gradient echo (MPRAGE) and (D) cone beam CT (CBCT) image data of sheep brain prior to convection-enhanced delivery of therapeutic compound. The burr hole and distal end of the sheath in CBCT data are indicated by the arrow.

In order to visualize the approximate spread of the injected substance with MRI, the therapeutic compound was mixed with 2.0 mmol/l gadolinium (Gd). The mixture was infused at a rate of 0.3 μl/min for a total of 100 μl using a syringe pump (PHD 2000 Infusion, Harvard Apparatus, Holliston, Massachusetts, USA). After infusion, the skull and wound were closed and the animal was transferred to the MRI system where the same image data were acquired as before surgery. Upon completion, the animals were recovered.

Results

CED surgery was planned on preoperatively acquired MRI (figure 1A–C) and CBCT data obtained after creation of the burr hole (figure 1D). Cannulae were successfully introduced under multimodal image guidance. Figure 2 shows snapshots of fluoroscopic data (gray scale) overlaid with CBCT data (red scale) and MRI data (blue scale). The cannula tip, of outer diameter 300 μm (figure 3A), was visualized in vivo using high resolution CBCT (figure 3B), and registration with MRI enabled validation of the position relative to the striatum (figure 3C). Gd-enhanced MRI after CED confirmed the localized administration of the compound and was used to measure the approximate distribution volume (figure 4).

Figure 2

Snapshots of navigation module used for surgical navigation during convection-enhanced delivery. Real-time x-ray images (gray scale) are superimposed onto cone beam CT (CBCT) (red scale) and MRI (blue scale) data. (A) The entry point, target point and planned path are indicated by the pink and green circles and green dots, respectively. After each alteration of the position and orientation of the sheath the x-ray image was updated. Optimal alignment was achieved by alternating the orientation between the entry view (B, C) and progression view (D, E).

Figure 3

(A) Scale image of the distal end of the microcannula. The cannula tip (arrows) has a length of 3 mm and a diameter of 300 μm. (B) Maximum intensity projection of a 0.2 mm slab of a high resolution cone beam CT (CBCT) (red scale) acquired after introduction of the convection-enhanced delivery cannula. The small detector size and unbinned reconstruction algorithm enables in vivo visualization of the complete cannula. (C) CBCT was registered with preoperative T2-weighted turbo spin echo (gray scale) to confirm the end position and make adjustments in the direction of progression if necessary.

Figure 4

Examples of corresponding coronal slices of (A) T2-weighted turbo spin echo (T2w-TSE), (B) T1-weighted turbo spin echo (T1w-TSE) and (C) magnetization prepared rapid gradient echo (MPRAGE) image data of sheep brain after convection-enhanced delivery of therapeutic compound mixed with gadolinium. The spread of the therapeutic compound is assumed to be similar to that of gadolinium, which is clearly visible on both T1-weighted sequences (arrows).

Discussion

CED has been shown to be an effective method of administering macromolecular drugs into the brain. However, accurate placement of a delivery device remains a challenge that requires excellent surgical skills. Advancements in imaging and navigation technology may be of great value in assisting the surgeon during this procedure. In this short report, we demonstrate the use of a commercially available truly frameless navigation module that provides multimodal image guidance during surgery for CED. Although neither a quantitative analysis nor a comparison with other navigation techniques was performed, we have shown that the XperGuide module can be of value for CED and other procedures that may require accurate positioning such as biopsy, ablation and stimulation.

A great advantage of frameless navigation is that it does not require the use of invasive fiducials or additional navigation machinery. Due to calibration of the c-arm system, the relationship between the image and the patient is simply established by in situ acquisition of 3D image data which can subsequently be used for navigation or merged with other patient data.

With high resolution CBCT we were able to image the small distal end of the microcannula in vivo. Using MRI data, this enabled us to visualize the exact end position of the cannula tip and to make adjustments to the depth as necessary. This represents a significant advantage over other surgical navigation systems in that direct rather than inferred confirmation of the cannula position can be obtained.

A limitation of using truly frameless navigation is that it requires the acquisition of CBCT data and real-time fluoroscopy, which exposes the patient to additional ionizing radiation. The acquisition of a single CBCT dataset produces a radiation dose of approximately 50 mGy, which can be lowered by using a low-dose CBCT protocol, although at the cost of signal-to-noise. Another limitation of the navigation method used is that a relationship between the patient and the image will only be maintained provided the patient does not move during the procedure. Although extensive research has been performed to realign patient and volumetric data using fluoroscopic images when the patient has moved,30 currently a relationship can only be re-established by acquiring new CBCT data.

Conclusions

State-of-the-art angiographic c-arm systems contain hardware and software technology that enable truly frameless multimodal image guidance which may be of great value during minimally invasive procedures.

Acknowledgments

The authors acknowledge Philips Healthcare and Lundbeck Inc.

Footnotes

  • Funding This research was funded by a grant from Lundbeck Inc.

  • Competing interests NA is a member of the NIH sponsored DERC (DK 032520).

  • Provenance and peer review Not commissioned; externally peer reviewed.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/3.0/ and http://creativecommons.org/licenses/by-nc/3.0/legalcode

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