June Issue

June Issue

Our June issue is now online



CSI-AFRICA is a not-for-profit organisation that prepares and presents highly talented and intelligent underprivileged university students for opportunities that otherwise would have eluded them, through educational support, career guidance and mentoring thereby helping them secure a better future.

CSI-Africa believes we all need to help talented and intelligent youths from underprivileged backgrounds move up the socio-economic ladder and out of the circumstances in which they were born.


We identify students with potential for leadership early and mentor them through their years of study. We coach them on career selection, and further assist them in getting insights or short work opportunities in best of its class organizations.


By harnessing our resources and the support of our partners, corporate and individuals worldwide, we are adding great value to human capital development in Africa.


We pride ourselves as being openly fair, ethical and just. We adopt best practices, and are comparable to the best among organizations of our type in any part of the world!


To learn more about how we support eligible university students or recent graduates, please see CSI-Africa programmes.

Chinese Clinical Trial Register

Chinese Clinical Trial Register

Chinese Clinical Trial Register (ChiCTR) is hosted on Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University.

The Chinese Clinical Trial Register is a non-profit organisation, is established according to both the WHO International Clinical Trials Register Platform Standard and Ottawa Group Standard.

Chinese Clinical Trial Register provides the services include register for trials, consultation for trial design, central randomization for an allocation sequence, peer review for draft articles and training for peer reviewers.


Address: No. 37, Guo Xue Xiang, Chengdu, Sichuan, China 610041

Email:chictr@hotmail.com or txwutx@hotmail.com

TEL: +86 18980604562

FAX: +86 28 85422253

Multimodality Imaging of Aortitis.

Multimodality Imaging of Aortitis.

Multimodality imaging of aortitis is useful for identification of acute and chronic mural changes due to inflammation, edema, and fibrosis, as well as characterization of structural luminal changes including aneurysm and stenosis or occlusion. Identification of related complications such as dissection, hematoma, ulceration, rupture, and thrombosis is also important. Imaging is often vital for obtaining specific diagnoses (i.e., Takayasu arteritis) or is used adjunctively in atypical cases (i.e., giant cell arteritis). The extent of disease is established at baseline, with associated therapeutic and prognostic implications. Imaging of aortitis may be useful for screening, routine follow up, and evaluation of treatment response in certain clinical settings. Localization of disease activity and structural abnormality is useful for guiding biopsy or surgical revascularization or repair. In this review, we discuss the available imaging modalities for diagnosis and management of the spectrum of aortitis disorders that cardiovascular physicians should be familiar with for facilitating optimal patient care.

Iterative Model Reconstruction: Improved Image Quality of Low-Tube-Voltage Prospective ECG-Gated Coronary CT Angiography Images at 256-Slice CT

Iterative Model Reconstruction: Improved Image Quality of Low-Tube-Voltage Prospective ECG-Gated Coronary CT Angiography Images at 256-Slice CT

OBJECTIVES: To investigate the effects of a new model-based type of iterative reconstruction (M-IR) technique, the iterative model reconstruction, on image quality of prospectively gated coronary CT angiography (CTA) acquired at low-tube-voltage.

METHODS: Thirty patients (16 men, 14 women; mean age 52.2±13.2 years) underwent coronary CTA at 100-kVp on a 256-slice CT. Paired image sets were created using 3 types of reconstruction, i.e. filtered back projection (FBP), a hybrid type of iterative reconstruction (H-IR), and M-IR. Quantitative parameters including CT-attenuation, image noise, and contrast-to-noise ratio (CNR) were measured. The visual image quality, i.e. graininess, beam-hardening, vessel sharpness, and overall image quality, was scored on a 5-point scale. Lastly, coronary artery segments were evaluated using a 4-point scale to investigate the assessability of each segment.

RESULTS: There was no significant difference in coronary arterial CT attenuation among the 3 reconstruction methods. The mean image noise of FBP, H-IR, and M-IR images was 29.3±9.6, 19.3±6.9, and 12.9±3.3HU, respectively, there were significant differences for all comparison combinations among the 3 methods (p<0.01). The CNR of M-IR was significantly better than of FBP and H-IR images (13.5±5.0 [FBP], 20.9±8.9 [H-IR] and 39.3±13.9 [M-IR]; p<0.01). The visual scores were significantly higher for M-IR than the other images (p<0.01), and 95.3% of the coronary segments imaged with M-IR were of assessable quality compared with 76.7% of FBP- and 86.9% of H-IR images.

CONCLUSIONS: M-IR can provide significantly improved qualitative and quantitative image quality in prospectively gated coronary CTA using a low-tube-voltage.

PMID: 24873832