Archive for March, 2010

Three Dimensional Echocardiography: Approaches and Clinical Utility

Effective performance and interpretation of two dimensional (2D) echocardiography requires one to mentally integrate the collected images into a three dimensional (3D) reconstruction of the heart. To do this accurately, one must understand the relationship of each 2D image to one another. Quantification of cardiac structure and function by 2D echocardiography typically requires assumptions about the geometry of the structure being measured so that specific formulae can be accurately used.

3D echocardiography eliminates the need for cognitive reconstruction of image planes and use of geometric assumptions about shape of structures for cardiac quantitation. This particularly applies to complex shapes such as the right ventricle, an aneurysmal left ventricle (LV), an asymmetrically stenotic or regurgitant valve orifice, eccentric regurgitant jets assessed by colour Doppler, valve annulae, and the complex structural relationships observed in congenital heart lesions. 3D echocardiography can be performed from the transthoracic or transoesophageal approach. The 3D echocardiographic technique has the potential to decrease the time required for complete image acquisition of the heart. Also, the 3D echocardiogram can be viewed from various projections by rotation of the images resulting in an improved appreciation of the relationships between various cardiac structures.

Up until recently, 3D echocardiography was primarily a research tool because off-line image reconstruction from a series of component 2D images was required (reconstruction technique) and this was very time consuming. However, advances in transducer technology now enable the acquisition of a 3D volume of ultrasound data (volumetric technique) and real-time 3D echocardiographic display. This has brought 3D cardiac ultrasound imaging into the clinical realm. This review will focus primarily on this new volumetric technique.

PMID:

Innovations in CT Dose Reduction Strategy: Application of the Adaptive Statistical Iterative Reconstruction Algorithm

OBJECTIVE: The purpose of this study was to evaluate the image noise, low-contrast resolution, image quality, and spatial resolution of adaptive statistical iterative reconstruction in low-dose body CT.

METHODS: Adaptive statistical iterative reconstruction was used to scan the American College of Radiology phantom at the American College of Radiology reference value and at one-half that value (12.5 mGy). Test objects in low- and high-contrast and uniformity modules were evaluated. Low-dose CT with adaptive statistical iterative reconstruction was then tested on 12 patients (seven men, five women; average age, 67.5 years) who had previously undergone routine-dose CT. Two radiologists blinded to scanning technique evaluated images of the same patients obtained with routine-dose CT and low-dose CT with and without adaptive statistical iterative reconstruction. Image noise, low-contrast resolution, image quality, and spatial resolution were graded on a scale of 1 (best) to 4 (worst). Quantitative noise measurements were made on clinical images.

RESULTS: In the phantom, low- and high-contrast and uniformity assessments showed no significant difference between routine-dose imaging and low-dose CT with adaptive statistical iterative reconstruction. In patients, low-dose CT with adaptive statistical iterative reconstruction was associated with CT dose index reductions of 32-65% compared with routine imaging and had the least noise both quantitatively and qualitatively (p < 0.05). Low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT had identical results for low-contrast resolution and nearly identical results for overall image quality (grade 2.1-2.2). Spatial resolution was better with routine-dose CT (p = 0.004).

CONCLUSIONS: These preliminary results support body CT dose index reductions of 32-65% when adaptive statistical iterative reconstruction is used. Studies with larger statistical samples are needed to confirm these findings.

PMID: 20028923

Multidetector Computed Tomography Coronary Angiography for the Assessment of Coronary In-Stent Restenosis

OBJECTIVES:The investigators conducted a review to evaluate the diagnostic performance of multidetector computed tomography (MDCT) for coronary stent evaluation.

METHODS: The prespecified inclusion criteria selected prospective or retrospective human studies published in English. Studies that did not report raw numbers of diagnostic accuracy for the detection of in-stent restenosis were excluded.

RESULTS: The data from 24 studies are reported, 6 performed with old-generation scanners (4-, 16-, and 40-slice MDCT) and 18 performed with 64-slice MDCT or dual-source MDCT. With old-generation MDCT, up to 18% of coronary stents were missed, the rate of nonevaluable stents ranged from 2.6% to 23.5%, and the overall feasibility and diagnostic accuracy were 90.4% and 90%, respectively. With 64-slice MDCT, no stent was missed, and the overall feasibility and diagnostic accuracy were 90.4% and 91.9%, respectively.

CONCLUSIONS: Advancements in MDCT and stent technologies may further reduce the number of nonassessable stents and improve diagnostic performance.

PMID: 20185011