Abstract
Objectives
To determine whether image reconstruction with a higher matrix size improves image quality for lower extremity CTA studies.
Methods
Raw data from 50 consecutive lower extremity CTA studies acquired on two MDCT scanners (SOMATOM Flash, Force) in patients evaluated for peripheral arterial disease (PAD) were retrospectively collected and reconstructed with standard (512 × 512) and higher resolution (768 × 768, 1024 × 1024) matrix sizes. Five blinded readers reviewed representative transverse images in randomized order (150 total). Readers graded image quality (0 (worst)–100 (best)) for vascular wall definition, image noise, and confidence in stenosis grading. Ten patients’ stenosis scores on CTA images were compared to invasive angiography. Scores were compared using mixed effects linear regression.
Results
Reconstructions with 1024 × 1024 matrix were ranked significantly better for wall definition (mean score 72, 95% CI = 61–84), noise (74, CI = 59–88), and confidence (70, CI = 59–80) compared to 512 × 512 (wall = 65, CI = 53 × 77; noise = 67, CI = 52 × 81; confidence = 62, CI = 52 × 73; p = 0.003, p = 0.01, and p = 0.004, respectively).
Compared to 512 × 512, the 768 × 768 and 1024 × 1024 matrix improved image quality in the tibial arteries (wall = 51 vs 57 and 59, p < 0.05; noise = 65 vs 69 and 68, p = 0.06; confidence = 48 vs 57 and 55, p < 0.05) to a greater degree than the femoral-popliteal arteries (wall = 78 vs 78 and 85; noise = 81 vs 81 and 84; confidence = 76 vs 77 and 81, all p > 0.05), though for the 10 patients with angiography accuracy of stenosis grading was not significantly different. Inter-reader agreement was moderate (rho = 0.5).
Conclusion
Higher matrix reconstructions of 768 × 768 and 1024 × 1024 improved image quality and may enable more confident assessment of PAD.
Clinical relevance statement
Higher matrix reconstructions of the vessels in the lower extremities can improve perceived image quality and reader confidence in making diagnostic decisions based on CTA imaging.
Key Points
• Higher than standard matrix sizes improve perceived image quality of the arteries in the lower extremities.
• Image noise is not perceived as increased even at a matrix size of 1024 × 1024 pixels.
• Gains from higher matrix reconstructions are higher in smaller, more distal tibial and peroneal vessels than in femoropopliteal vessels.
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Abbreviations
- AIC:
-
Akaike’s Information Criteria
- BIC:
-
Bayesian Information Criteria
- CI:
-
Confidence interval
- CTA:
-
Computed tomographic angiography
- HU:
-
Houndsfield unit
- ICC:
-
Intraclass correlation
- MDCT:
-
Multi-detector CT
- PACS:
-
Picture Archiving and Communication System
- PAD:
-
Peripheral arterial disease
References
Fowkes FGR, Rudan D, Rudan I et al (2013) Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet 382:1329–1340
Conte MS, Bradbury AW, Kolh P et al (2019) Global vascular guidelines on the management of chronic limb-threatening ischemia. J Vasc Surg 69:3S-125S.e140
Wang J, Fleischmann D (2018) Improving spatial resolution at CT: development, benefits, and pitfalls. Radiology 289:261–262
Tanaka R, Yoshioka K, Takagi H, Schuijf JD, Arakita K (2019) Novel developments in non-invasive imaging of peripheral arterial disease with CT: experience with state-of-the-art, ultra-high-resolution CT and subtraction imaging. Clin Radiol 74:51–58
Tsubamoto M, Hata A, Yanagawa M et al (2020) Ultra high-resolution computed tomography with 1024-matrix: comparison with 512-matrix for the evaluation of pulmonary nodules. Eur J Radiol 128:109033
Hata A, Yanagawa M, Honda O et al (2018) Effect of matrix size on the image quality of ultra-high-resolution CT of the lung: comparison of 512 × 512, 1024 × 1024, and 2048 × 2048. Acad Radiol 25:869–876
Euler A, Martini K, Baessler B et al (2020) 1024-pixel image matrix for chest CT - Impact on image quality of bronchial structures in phantoms and patients. PLoS One 15:e0234644
Buckley BW, MacMahon PJ (2021) Radiology and the climate crisis: opportunities and challenges—radiology in training. Radiology 300:E339–E341
Geyer LL, Schoepf UJ, Meinel FG et al (2015) State of the art: iterative CT reconstruction techniques. Radiology 276:339–357
Flohr TG, Bruder H, Stierstorfer K, Petersilka M, Schmidt B, McCollough CH (2008) Image reconstruction and image quality evaluation for a dual source CT scanner. Med Phys 35:5882–5897
Flohr TG, Schaller S, Stierstorfer K, Bruder H, Ohnesorge BM, Schoepf UJ (2005) Multi-detector row CT systems and image-reconstruction techniques. Radiology 235:756–773
Kolossváry M, Szilveszter B, Merkely B, Maurovich-Horvat P (2017) Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment. Cardiovasc Diagn Ther 7:489–506
Maurovich-Horvat P, Ferencik M, Voros S, Merkely B, Hoffmann U (2014) Comprehensive plaque assessment by coronary CT angiography. Nat Rev Cardiol 11:390–402
Maurovich-Horvat P, Schlett CL, Alkadhi H (2012) Differentiation of early from advanced coronary atherosclerotic lesions: systematic comparison of CT, intravascular US, and optical frequency domain imaging with histopathologic examination in ex vivo human hearts. Radiology 265:393
Latina J, Shabani M, Kapoor K et al (2021) Ultra-high-resolution coronary CT angiography for assessment of patients with severe coronary artery calcification: initial experience. Radiol Cardiothoracic Imaging 3:e210053
Poschenrieder F, Hamer OW, Herold T et al (2009) Diagnostic accuracy of intraarterial and IV MR angiography for the detection of stenoses of the infrainguinal arteries. AJR Am J Roentgenol 192:117–121
Acknowledgements
We would like to acknowledge the work of Brittney Stone, BSRT in collecting the raw data from the scanners during the complicated period of COVID restrictions in 2020. In addition, we would like to acknowledge the support of Dr. Olanrewaju Akande, who validated the statistical methods chosen for exploratory data analysis and for statistical model selection and evaluation of results. This project was made possible by a collaborative research agreement with Siemens Healthineers (Erlangen, Germany).
Funding
This study has received funding from the Duke Radiology Department.
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The scientific guarantor of this publication is Daniele Marin.
Conflict of interest
Fides R. Schwartz — is a member of European Radiology Scientific Editorial Board and has therefore not taken any part in review or selection of this article.
James S. Ronald — nothing to disclose
Francesca Rigiroli — nothing to disclose
Kevin R. Kalisz — nothing to disclose
Wanyi Fu — nothing to disclose
Juan Carlos Ramirez-Giraldo — employee Siemens Healthineers
Lynne M. Hurwitz Koweek — nothing to disclose
Susan Churchill — nothing to disclose
Kevin W. Southerland — nothing to disclose
Daniele Marin — nothing to disclose
Statistics and biometry
A statistician (Dr. Olanrewaju Akande) was consulted for the generation of the statistical models and their output.
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This was a retrospective study and the IRB waived the need for informed consent from individual patients. No animal subjects were studied.
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Institutional Review Board approval was obtained prior to the start of the study.
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• retrospective
• observational
• performed at one institution
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Schwartz, F.R., Ronald, J.S., Kalisz, K.R. et al. First experience of evaluation of the impact of high-matrix size reconstruction in image quality in arterial CT runoff studies of the lower extremities. Eur Radiol 33, 8745–8753 (2023). https://doi.org/10.1007/s00330-023-09841-4
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DOI: https://doi.org/10.1007/s00330-023-09841-4