Cone beam computed tomography (or CBCT, also referred to as C-arm CT, cone beam volume CT, or flat panel CT) is a medical imaging technique consisting of X-ray computed tomography where the X-rays are divergent, forming a cone.
CBCT has become increasingly important in treatment planning and diagnosis in implant dentistry, interventional radiology (IR), among other things. Perhaps because of the increased access to such technology, CBCT scanners are now finding many uses in dentistry, such as in the fields of endodontics and orthodontics, as well. Integrated CBCT is also an important tool for patient positioning and verification in image-guided radiation therapy (IGRT).
During dental imaging, the CBCT scanner rotates around the patient's head, obtaining up to nearly 600 distinct images. For Interventional Radiology, the patient is positioned offset to the table so that the region of interest is centered in the field of view for the cone beam. A single 200 degree rotation over the region of interest acquires a volumetric data set. The scanning software collects the data and reconstructs it, producing what is termed a digital volume composed of three-dimensional voxels of anatomical data that can then be manipulated and visualized with specialized software.
There are three commercially available systems of C-arm CBCT in the US: DynaCT (Siemens Medical Solutions, Forchheim, Germany), XperCT (Philips Medical Systems, Eindhoven, the Netherlands), and Innova CT (GE Healthcare, Waukesha, Wisconsin). The systems differ with regard to their rotation time, number of projections acquired, image quality, and time required for reconstruction.
History
Cone beam technology was first introduced in the European market in 1996 by QR s.r.l. (NewTom 9000) and into the US market in 2001.
October 25, 2013, during the "Festival della Scienza" in Genova, Italy, the original members of the research group: Attilio Tacconi, Piero Mozzo, Daniele Godi and Giordano Ronca received an award for the cone-beam CT invention, a revolutionary invention that changed world's dental radiology panorama.
CBCT use in implantology
A dental cone beam scan offers invaluable information when it comes to the assessment and planning of surgical implants. The AAOMR also suggestes cone-beam CT as the preferred method for presurgical assessment of dental implant sites.
CBCT use in orthodontics
As a 3D rendition, CBCT offers an undistorted view of the dentition that can be used to accurately visualize both erupted and non-erupted teeth, tooth root orientation and anomalous structures that conventional 2D radiography cannot.
Processing example using x-ray data from a tooth model:
CBCT use in Interventional Radiology
The CBCT scanner is mounted on a C-arm in the IR suite, which offers real time imaging with a stationary patient. This eliminates the time needed to transfer a patient from the angiography suite to a conventional computed tomography scanner and facilitates a broad spectrum of applications of CBCT during IR procedures. The clinical applications of CBCT in IR include treatment planning, device or implant positioning and assessment, intra-procedural localization, and assessment of procedure endpoints. CBCT is useful as a primary and supplemental form of imaging. It is an excellent adjunct to DSA and fluoroscopy for soft tissue and vascular visibility during complex procedures. The use of CBCT before fluoroscopy potentially reduces patient radiation exposure.
Clinical Applications
- Chemoembolization for Hepatocellular Carcinoma: CBCT with contrast confirms that the proper artery is selected to deliver the therapy. The contrast enhances the parenchyma supplied by the selected artery and therefore reveals if the vasculature also supplies the tumor. Post treatment noncontrast CBCT confirms lipiodol staining of the tumor, which improves operator confidence of complete tumor coverage or further treatment.
- Prostate artery embolization for benign prostatic hypertrophy: CBCT provides the soft tissue detail needed to visualize prostatic enhancement, identify duplicated prostatic arteries, and avoid nontarget embolization. CBCT is superior to DSA for this therapy since the enhancement patterns on DSA can be difficult to discern due to the overlapping pelvic structures and variable arterial anatomy.
- Abscess drainage: CBCT confirms needle tip location after placement under ultrasound and confirms drain placement by revealing contrast injection into the desired location.
- Adrenal Vein sampling for an adenoma: contrast enhanced CBCT shows perfusion of the adrenal gland to confirm catheter placement for obtaining a satisfactory sample.
- Stent placement: CBCT improves the visualization of intracranial and extracranial stents compared to conventional DSA and digital radiography by providing a better depiction of the relationship of the stents to nearby structures (i.e. vascular walls and aneurysm lumen).
- Lung nodule percutaneous transthoracic needle biopsy: CBCT guides needle placement and demonstrated a diagnostic accuracy, sensitivity, and specificity of 98.2%, 96.8%, and 100%, respectively. Diagnostic accuracy was unaffected by technically challenging conditions.
- Vascular Anomalies: After correction of arterio-venous malformations with coiling, CBCT sensitively detects small infarcts in tissue that has been "sacrificed" during the procedure to prevent further shunting. The infarcted tissue appears as a small area of contrast retention.
- Peripheral Vascular Interventions
- Biliary Interventions
- Spine Interventions
- Enterostomy Interventions
Technical Limitations
While the practicality of CBCT fosters its increasing application in IR, technical limitations hinder its integration into the field. The two most significant factors that affect successful integration are image quality and time (for set up, image acquisition, and image reconstruction). Compared to MDCT, the wider collimation in CBCT leads to increased scatter radiation and degradation of image quality as demonstrated by artifacts and decreased contrast-to-noise ratio. The temporal resolution of cesium iodide detectors in CBCT slows data acquisition time to approximately 5 to 20 seconds, which increases motion artifact. The time required for image reconstruction takes longer for CBCT (1 minute) compared to MDCT (real time) due to the computationally demanding cone beam reconstruction algorithms.
Risks of CBCT technology
Total radiation doses from dental CBCT exams are generally lower than other CT exams (which cover a wider area), but dental CBCT exams typically deliver more radiation than conventional dental X-ray exams. Properly shielded CBCT scans expose patients to many times the radiation of 2d digital dental x-rays. Doses are sometimes inaccurately compared to what you would receive in on a very long airplane flight. One of many problems with this comparison is that in the CBCT the dose is being applied to a very narrow section of the body.
CBCT use is only lightly regulated in the U.S. The recommended standard of care is to use the smallest possible FOV, the smallest voxel size, the lowest mA setting and the shortest exposure time in conjunction with a pulsed exposure mode of acquisition. It is up to the patient to keep a record of their lifetime radiation exposure and weigh the risks versus benefits.
The risks are highest for children and teens, who have a longer lifetime for cells to develop cancers or errors due to exposure. Children have higher estimates of the lifetime risk for cancer incidence and mortality per unit dose of ionizing radiation. It is recommended that children or adolescents have no more exposure than medically necessary.
Disadvantages of CBCT technology
There are a number of drawbacks of CBCT technology over that of medical-grade CT scans, such as increased susceptibility to movement artifacts (in first generation machines) and to the lack of appropriate bone density determination.
Bone density and the Hounsfield scale
The Hounsfield scale is used to measure radiodensity and, in reference to medical-grade CT scans, can provide an accurate absolute density for the type of tissue depicted. The radiodensity, measured in Hounsfield Units (HU, also known as CT number) is inaccurate in CBCT scans because different areas in the scan appear with different greyscale values depending on their relative positions in the organ being scanned, despite possessing identical densities, because the image value of a voxel of an organ depends on the position in the image volume. HU measured from the same anatomical area with both CBCT and medical-grade CT scanners are not identical and are thus unreliable for determination of site-specific, radiographically-identified bone density for purposes such as the placement of dental implants, as there is "no good data to relate the CBCT HU values to bone quality."
Although some authors have supported the use of CBCT technology to evaluate bone density by measuring HU, such support is provided erroneously because scanned regions of the same density in the skull can have a different grayscale value in the reconstructed CBCT dataset.
X-ray attenuation of CBCT acquisition systems currently produces different HU values for similar bony and soft tissue structures in different areas of the scanned volume (e.g. dense bone has a specific image value at the level of the menton, but the same bone has a significantly different image value at the level of the cranial base).
Dental CBCT systems do not employ a standardized system for scaling the grey levels that represent the reconstructed density values and, as such, they are arbitrary and do not allow for assessment of bone quality. In the absence of such a standardization, it is difficult to interpret the grey levels or impossible to compare the values resulting from different machines. While there is a general acknowledgment that this deficiency exists with CBCT systems (in that they do not correctly display HU), there has been little research conducted to attempt to correct this deficiency.
With time, further advancements in CBCT reconstruction algorithms will allow for improved area detectors, and this, together with enhanced postprocessing, will likely solve or reduce this problem. A method for establishing attenuation coefficients with which actual HU values can be derived from CBCT HU values was published in 2010 and further research is currently underway to perfect this method in vivo.
Literature
- Jonathan Fleiner, Nils Weyer, Andres Stricker: CBCT-Diagnostics, Cone Beam Computed Tomography, The most important cases in clinical daily routine, Systematic Radiographic Investigation, Diagnostics, Treatment Approach Verlag 2einhalb, ISBN 978-3-9815787-0-6. www.cbct-3d.com.
References
http://centroradiologicodental.es/