Volume CT: State-of-the-Art Reporting

Visualization of thrombus using iterative reconstruction and maximum intensity projection of thin-slice CT images

OBJECTIVE

Iterative reconstruction (IR) is a noise reduction method that facilitates the synthesis of maximum intensity projection (MIP) from a larger number of slices while maintaining resolution. The present study aimed to analyze whether CT evaluation using IR and MIP is ideal for thrombus evaluation of large vessel occlusions in patients with acute ischemic stroke.

METHODS

Three types of images for each patient were reconstructed and categorized into three groups: the "conventional group," evaluated using 0.5-mm slice CT, the "MIP group," evaluated using 0.5-mm slice CT processed with MIP, and the "IR + MIP group," evaluated with 0.5-mm slice CT processed with IR and MIP. Noise and image quality were evaluated with noise standard deviation (Noise SD) and contrast-to-noise ratio (CNR). Three experts evaluated the thrombus edge coordinates, made a visual assessment, and compared the data with the digital subtraction angiography (DSA) of the mechanical thrombectomy.

RESULTS

Twenty-nine patients with cerebral infarction having large vessel occlusion were included in this study. The IR + MIP group had a lower Noise SD and a statistically higher CNR, leading to more favorable image evaluations. The thrombus assessment showed no inter-rater variability in thrombus edge identification, and the visual assessment and comparison with DSA were statistically better in the IR + MIP group.

CONCLUSIONS

IR reduces noise and improves resolution. MIP in combination with IR facilitates visualization of thrombus.

Diagnostic significance of multidetector computed tomography (MDCT) in patients with small bowel obstruction: a meta-analysis

PURPOSE

To assess the diagnostic value of multidetector computed tomography (MDCT) in small bowel obstruction (SBO) patients.

METHODS

Relevant literature was searched from the Cochrane Library, Pubmed and Embase. The extracted effective data was calculated using the Meta-Disc 1.4 software; statistical heterogeneity was evaluated using Cochran's Q test and I².

RESULTS

A total of five articles were selected for the meta-analysis. In addition, the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), as well as the diagnostic odds ratio (DOR) were 0.878 (95% CI 0.822-0.921), 0.807 (95% CI 0.753-0.854), 8.137 (95% CI 2.268-29.192), 0.127 (95% CI 0.040-0.4078) and 72.384 (95% CI 10.841-483.31), respectively. Furthermore, the AUC was 0.9648 with the Q of 0.9116.

CONCLUSIONS

The data suggest that MDCT is an effective method for diagnosis of SBO.

Ovarian masses: is multi-detector computed tomography a reliable imaging modality?

BACKGROUND

Ovarian cancer continues to pose a major challenge to physicians and radiologists. It is the third most common gynecologic malignancy and estimated to be fifth leading cancer cause of death in women, constituting 23% of all gynecological malignancies. Multi-detector computed tomography (MDCT) appears to offer an excellent modality in diagnosing ovarian cancer based on combination of its availability, meticulous technique, efficacy and familiarity of radiologists and physicians. The aim of this study was to compute sensitivity, specificity, positive and negative predictive values and diagnostic accuracy of 64- slice MDCT in classifying ovarian masses; 95% confidence intervals were reported.

MATERIALS AND METHODS

We prospectively designed a cross-sectional analytical study to collect data from July 2010 to August 2011 from a tertiary care hospital in Karachi, Pakistan. A sample of 105 women aged between 15-80 years referred for 64-MDCT of abdomen and pelvis with clinical suspicion of malignant ovarian cancer, irrespective of stage of disease, were enrolled by non- probability purposive sampling. All patients who were already known cases of histologically proven ovarian carcinoma and having some contraindication to radiation or iodinated contrast media were excluded.

RESULTS

Our prospective study reports sensitivity, specificity; positive and negative predictive values with 95%CI and accuracy were computed. Kappa was calculated to report agreement among the two radiologists. For reader A, MDCT was found to have 92% (0.83, 0.97) sensitivity and 86.7% (0.68, 0.96) specificity, while PPV and NPV were 94.5% (0.86, 0.98) and 86.7% (0.63, 0.92), respectively. Accuracy reported by reader A was 90.5%. For reader B, sensitivity, specificity, PPV and NPV were 94.6% (0.86, 0.98) 90% (0.72, 0.97) 96% (0.88, 0.99) and 87.1% (0.69, 0.95) respectively. Accuracy computed by reader B was 93.3%. Excellent agreement was found between the two radiologists with a significant kappa value of 0.887.

CONCLUSION

Based on our study results, we conclude MDCT is a reliable imaging modality in diagnosis of ovarian masses accurately with insignificant interobserver variability.

Computed tomography dataset postprocessing: from data to knowledge

The introduction of spiral computed tomography from the days of single-slice spiral to today's 64-row multidetector computed tomography and beyond creates datasets with unprecedented spatial and temporal resolution. The key to computed tomography imaging in the big picture is not in the acquisition of data, but in the use of the data acquired. By supplementing traditional axial interpretation with 3-dimensional rendering of the computed tomography volume, the greatest amount of information available is extracted. The information provided by a comprehensive postprocessed study, which includes multiplanar reconstruction in the coronal, sagittal, and oblique plane, as well as 3-dimensional maps of both the arterial and venous phase datasets using volume rendering and maximum intensity projection techniques, allows for key clinical decisions to be made with a high degree of accuracy. Postprocessing of computed tomography data is thus no longer an option, but a true requirement in this era of 64-row multidetector computed tomography and beyond.

Dynamic computed tomographic evaluation of vocal cord mobility in patients with larynx cancer

OBJECTIVE

To evaluate the accuracy of dynamic laryngeal computed tomography (DLCT) for the detection of vocal cord mobility in larynx cancer.

METHODS

Vocal cord mobility of 44 patients (36 men; age range, 49-81 years) with larynx cancer was examined; 13 patients were excluded (owing to poor image quality or bilateral vocal cord involvement), and vocal cord mobility was evaluated for the remaining 31 patients qualitatively and quantitatively with dynamic laryngeal computed tomography during phonation, inspiration, and Valsalva maneuver phase.

RESULTS

The mobile cords were laterally positioned in a straight configuration on inspiration phase. Phonation phase images revealed medial displacement with protrusion of the cords (shoulder sign) and ventricular niche (31 patients/42 cords). Fixed cords (13 patients/13 cords) conserved their configuration and location during all phases. The distances of the vocal cords to the midline were measured based on the images obtained during inspiration and Valsalva maneuvers. The mean ± SD difference between the movement distances of cords measured during each phase was as follows: 6.16 ± 1.64 mm for the mobile cord (n = 42) and 3.17 ± 0.78 mm for the impaired cord (n = 7) on the midcoronal plane (P = 0.0001). A comparison between the mean distance values of the mobile, impaired and fixed cords groups revealed significant distance.

CONCLUSIONS

Dynamic laryngeal computed tomography of the larynx of patients with laryngeal cancer can be used as a supplemental tool to examine cord mobilization for accurate T-staging (particularly for patient laryngoscopy, which is difficult to perform), and can provide additional information to physicians.

[Weighted-averaging multi-planar reconstruction method for multi-detector row computed tomography]

Development of multi-detector row computed tomography (MDCT) has enabled three-dimensions (3D) scanning with minute voxels. Minute voxels improve spatial resolution of CT images. At the same time, however, they increase image noise. Multi-planar reconstruction (MPR) is one of effective 3D-image processing techniques. The conventional MPR technique can adjust slice thickness of MPR images. When a thick slice is used, the image noise is decreased. In this case, however, spatial resolution is deteriorated. In order to deal with this trade-off problem, we have developed the weighted-averaging multi-planar reconstruction (W-MPR) technique to control the balance between the spatial resolution and noise. The weighted-average is determined by the Gaussian-type weighting function. In this study, we compared the performance of W-MPR with that of conventional simple-addition-averaging MPR. As a result, we could confirm that W-MPR can decrease the image noise without significant deterioration of spatial resolution. W-MPR can adjust freely the weight for each slice by changing the shape of the weighting function. Therefore, W-MPR can allow us to select a proper balance of spatial resolution and noise and at the same time produce suitable MPR images for observation of targeted anatomical structures.

Can computer assisted diagnosis (CAD) be used as a screening tool in the detection of pulmonary nodules when using 64-slice multidetector computed tomography?

OBJECTIVES

To evaluate (1) whether or not the addition of computer-assisted diagnosis (CAD) to 64-slice multidetector computed tomography (CT) can be used as a screening tool for detection of pulmonary nodules in routine CT chest examinations and (2) whether or not to advocate the incorporation of CAD as a screening tool into our daily practice.

MATERIALS AND METHODS

A retrospective cross-sectional analysis of 109 consecutive patients who had all undergone routine contrast-enhanced CT chest examinations for indications other than lung cancer at the Radiology Department of Aga Khan University Hospital, Karachi, between November 2010 and January 2011. All examinations were evaluated in terms of the detection of pulmonary nodules by a consultant radiologist and CAD (ImageChecker CT Algorithm R2 Technology) software. The ability of CAD software to detect pulmonary nodules was evaluated against the reference standard. In addition, a chest radiologist also calculated the number of pulmonary nodules. The sensitivity and specificity of the CAD software were calculated against the reference standard by using a 2 × 2 table. The Mann-Whitney U test was applied to compare the performances of CAD and the radiologist.

RESULTS

CAD detected 610 pulmonary nodules while the radiologist detected only 113. The reference standard declared 198 pulmonary nodules to be true nodules. CAD detected 95% of all true nodules (189/198), whereas the radiologist detected only 57% (113/198). In the detection of true pulmonary nodules, CAD had 98% sensitivity compared with the radiologist who had 57% sensitivity; the statistical difference between their performances had a P value <0.001.

CONCLUSION

Considering the high sensitivity of CAD to detect nearly all true pulmonary nodules, we advocate its application as a screening tool in all CT chest examinations for the early detection of pulmonary nodules and lung carcinoma.

CT multiplanar reconstructions (MPR) for shrapnel injury trajectory

We report our experience in implementing CT multiplanar reformats (MPRs) to demonstrate the trajectory of penetrating trauma. It is an easily learned tool that can be conveniently and speedily applied in the fragments injury. We describe the detailed technique of performing MPRs, depicted by various examples. Furthermore, benefits and limitations of the technique (such as numerous fragments, change in position and respiratory phase, and embolization of fragments) are presented. We conclude that MPRs in the fragments trajectory can be helpful for accurate and fast diagnosis of injury. In addition, MPRs serve as a vivid presentation of injured and spared organs.

Adrenal gland volume measurement in septic shock and control patients: a pilot study

OBJECTIVES

To compare adrenal gland volume in septic shock patients and control patients by using semi-automated volumetry.

METHODS

Adrenal gland volume and its inter-observer variability were measured with tomodensitometry using semi-automated software in 104 septic shock patients and in 40 control patients. The volumes of control and septic shock patients were compared and the relationship between volume and outcome in intensive care was studied.

RESULTS

The mean total volume of both adrenal glands was 7.2 ± 2.0 cm(3) in control subjects and 13.3 ± 4.7 cm(3) for total adrenal gland volume in septic shock patients (p < 0.0001). Measurement reproducibility was excellent with a concordance correlation coefficient value of 0.87. The increasing adrenal gland volume was associated with a higher rate of survival in intensive care.

CONCLUSION

The present study reports that with semi-automated software, adrenal gland volume can be measured easily and reproducibly. Adrenal gland volume was found to be nearly double in sepsis compared with control patients. The absence of increased volume during sepsis would appear to be associated with a higher rate of mortality and may represent a prognosis factor which may help the clinician to guide their strategy.

Nonvascular mesenteric disease: utility of multidetector CT with 3D volume rendering

Creation of isotropic volumes with submillimeter multidetector computed tomography (CT) has expanded interpretative practice to routinely include two-dimensional (2D) and three-dimensional (3D) postprocessing techniques. Currently, 2D multiplanar reformatting, maximum intensity projection, and 3D volume rendering are available on most workstations. Only volume rendering yields a 3D display that depicts all tissue types from any orientation. Utility is not limited to vascular applications, as 3D volume rendering can be used to evaluate neoplastic, infectious, and inflammatory processes that affect the small-bowel mesentery. Specifically, interactive interpretation of multidetector CT data sets with volume rendering can help characterize nonvascular mesenteric disease, elucidate its extent through more comprehensive display, and facilitate the identification of complications.

Constrained surface controllers for three-dimensional image data reformatting

This study did not require ethical approval in the United Kingdom. The aim of this work was to create two controllers for navigating a two-dimensional image plane through a volumetric data set, providing two important features of the ultrasonographic paradigm: orientation matching of the navigation device and the desired image plane in the three-dimensional (3D) data and a constraining surface to provide a nonvisual reference for the image plane location in the 3D data. The first constrained surface controller (CSC) uses a planar constraining surface, while the second CSC uses a hemispheric constraining surface. Ten radiologists were asked to obtain specific image reformations by using both controllers and a commercially available medical imaging workstation. The time taken to perform each reformatting task was recorded. The users were also asked structured questions comparing the utility of both methods. There was a significant reduction in the time taken to perform the specified reformatting tasks by using the simpler planar controller as compared with a standard workstation, whereas there was no significant difference for the more complex hemispheric controller. The majority of users reported that both controllers allowed them to concentrate entirely on the reformatting task and the related image rather than being distracted by the need for interaction with the workstation interface. In conclusion, the CSCs provide an intuitive paradigm for interactive reformatting of volumetric data.

[Evaluation of non-linear adaptive smoothing filter by digital phantom]

As a result of the development of multi-slice CT, diagnoses based on three-dimensional reconstruction images and multi-planar reconstruction have spread. For these applications, which require high z-resolution, thin slice imaging is essential. However, because z-resolution is always based on a trade-off with image noise, thin slice imaging is necessarily accompanied by an increase in noise level. To improve the quality of thin slice images, a non-linear adaptive smoothing filter has been developed, and is being widely applied to clinical use. We developed a digital bar pattern phantom for the purpose of evaluating the effect of this filter and attempted evaluation from an addition image of the bar pattern phantom and the image of the water phantom. The effect of this filter was changed in a complex manner by the contrast and spatial frequency of the original image. We have confirmed the reduced effect of image noise in the low frequency component of the image, but decreased contrast or increased quantity of noise in the image of the high frequency component. This result represents the effect of change in the adaptation of this filter. The digital phantom was useful for this evaluation, but to understand the total effect of filtering, much improvement of the shape of the digital phantom is required.