Adaptive statistical iterative reconstruction improves image quality without affecting perfusion CT quantitation in primary colorectal cancer
- PMID: 28616448
- PMCID: PMC5458094
- DOI: 10.1016/j.ejro.2017.05.003
Adaptive statistical iterative reconstruction improves image quality without affecting perfusion CT quantitation in primary colorectal cancer
Abstract
Objectives: To determine the effect of Adaptive Statistical Iterative Reconstruction (ASIR) on perfusion CT (pCT) parameter quantitation and image quality in primary colorectal cancer.
Methods: Prospective observational study. Following institutional review board approval and informed consent, 32 patients with colorectal adenocarcinoma underwent pCT (100 kV, 150 mA, 120 s acquisition, axial mode). Tumour regional blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were determined using identical regions-of-interests for ASIR percentages of 0%, 20%, 40%, 60%, 80% and 100%. Image noise, contrast-to-noise ratio (CNR) and pCT parameters were assessed across ASIR percentages. Coefficients of variation (CV), repeated measures analysis of variance (rANOVA) and Spearman' rank order correlation were performed with statistical significance at 5%.
Results: With increasing ASIR percentages, image noise decreased by 33% while CNR increased by 61%; peak tumour CNR was greater than 1.5 with 60% ASIR and above. Mean BF, BV, MTT and PS differed by less than 1.8%, 2.9%, 2.5% and 2.6% across ASIR percentages. CV were 4.9%, 4.2%, 3.3% and 7.9%; rANOVA P values: 0.85, 0.62, 0.02 and 0.81 respectively.
Conclusions: ASIR improves image noise and CNR without altering pCT parameters substantially.
Keywords: Colorectal neoplasms; Computer-assisted image processing; Multidetector computed tomography; Perfusion imaging; Radiation dosage.
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References
-
- Miles K.A., Lee T.Y., Goh V. Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography. Eur. Radiol. 2012;22(7):1430–1441. - PubMed
-
- Yi C.A., Lee K.S., Kim E.A. Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. Radiology. 2004;233(1):191–199. - PubMed
-
- Li Y., Yang Z.G., Chen T.W., Chen H.J., Sun J.Y., Lu Y.R. Peripheral lung carcinoma: correlation of angiogenesis and first-pass perfusion parameters of 64-detector row CT. Lung Cancer. 2008;61(1):44–53. - PubMed
-
- Sauter A.W., Winterstein S., Spira D. Multifunctional profiling of non-small cell lung cancer using 18 F-FDG PET/CT and volume perfusion CT. J. Nucl Med. 2012;53(4):521–529. - PubMed
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