The impact of different reconstruction parameters on quantitative

99mTc-DPD SPECT/CT ATTR cardiac amyloidosis Quantification Quantitative SPECT/CT Reconstruction parameter SUV

Journal

The international journal of cardiovascular imaging
ISSN: 1875-8312
Titre abrégé: Int J Cardiovasc Imaging
Pays: United States
ID NLM: 100969716

Informations de publication

Date de publication:
18 Sep 2024
Historique:
received: 23 01 2024
accepted: 21 08 2024
medline: 18 9 2024
pubmed: 18 9 2024
entrez: 18 9 2024
Statut: aheadofprint

Résumé

To assess in a phantom and in a clinical study the influence of different reconstruction parameters on quantitative SPECT/CT values in the assessment of cardiac transthyretin amyloidosis (ATTR-CA). A hybrid SPECT/CT camera with a proprietary software for SPECT/CT-based quantification of myocardial uptake of The standard parameters provided by the manufacturer (reconstruction 1) yielded higher accuracy in quantifying, with measuring 97.1% of the expected activity in the phantom. Reconstructions with higher Gaussian filter caused a systematic underestimation of quantified values of 27.2% (p < 0.01). Results were replicated in the clinical study consisting of 155 patients with suspected ATTR-CA, wherein changing the number of iterations and subsets was not associated with a statistically significant difference in quantitative values compared to reconstruction 1, while a higher Gaussian filter caused inaccurate quantification with up to 24% of difference measured. Different reconstruction parameters can impact quantitative values on

Identifiants

pubmed: 39292397
doi: 10.1007/s10554-024-03231-7
pii: 10.1007/s10554-024-03231-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature B.V.

Références

Hutt DF et al (2017) Dec., ‘Prognostic utility of the Perugini grading of 99mTc-DPD scintigraphy in transthyretin (ATTR) amyloidosis and its relationship with skeletal muscle and soft tissue amyloid’, European Heart Journal - Cardiovascular Imaging, vol. 18, no. 12, pp. 1344–1350, https://doi.org/10.1093/ehjci/jew325
Caobelli F, Braun M, Haaf P, Wild D, Zellweger MJ (2020) ‘Quantitative 99mTc-DPD SPECT/CT in patients with suspected ATTR cardiac amyloidosis: Feasibility and correlation with visual scores’, J. Nucl. Cardiol., vol. 27, no. 5, pp. 1456–1463, Oct. https://doi.org/10.1007/s12350-019-01893-8
Scully PR et al (2020) Jun., ‘DPD Quantification in Cardiac Amyloidosis: A Novel Imaging Biomarker’, Jacc. Cardiovascular Imaging, vol. 13, no. 6, p. 1353, https://doi.org/10.1016/j.jcmg.2020.03.020
Papathanasiou M et al (2023) Jul., ‘Regression of Myocardial
Caobelli F, Rischpler C (Jul. 2024) Collection on molecular imaging in cardiac amyloidosis. Eur J Nucl Med Mol Imaging 51(8):2163–2164. https://doi.org/10.1007/s00259-024-06739-1
Caobelli F et al (2024) Jun., ‘Prognostic Value of [99mTc]Tc-DPD Quantitative SPECT/CT in Patients with Suspected and Confirmed Amyloid Transthyretin–Related Cardiomyopathy and Preserved Left Ventricular Function’, Journal of Nuclear Medicine, vol. 65, no. 6, pp. 944–951, https://doi.org/10.2967/jnumed.123.266926
Vija A, Hans (2013) ‘Introduction to xSPECT*Technology: Evolving Multi-modal SPECT to Become Context-based and Quantitative’, Siemens Medical Solutions USA, Inc., Molecular Imaging, White Paper, Accessed: Sep. 09, 2023. [Online]. Available: https://cdn0.scrvt.com/39b415fb07de4d9656c7b516d8e2d907/1800000003359764/038bd47eb17 e/MI-2706_xSPECT_TECHNICAL_White-paper_final_1800000003359764.pdf
Adams MC, Turkington TG, Wilson JM, Wong TZ (2010) ‘A Systematic Review of the Factors Affecting Accuracy of SUV Measurements’, American Journal of Roentgenology, vol. 195, no. 2, pp. 310–320, Aug. https://doi.org/10.2214/AJR.10.4923
Halim F, Yahya H, Jaafar KN, Mansor S (2021) ‘Accuracy Assessment of SUV Measurements in SPECT/CT: A Phantom Study’, J. Nucl. Med. Technol., vol. 49, no. 3, pp. 250–255, Sep. https://doi.org/10.2967/jnmt.120.259168
Tsutsui Y, Awamoto S, Himuro K, Umezu Y, Baba S, Sasaki M (2018) Characteristics of smoothing filters to achieve the Guideline recommended Positron Emission Tomography Image without Harmonization. Asia Ocean J Nucl Med Biol 6(1):15–23. https://doi.org/10.22038/aojnmb.2017.26684.1186
doi: 10.22038/aojnmb.2017.26684.1186 pubmed: 29333463 pmcid: 5765329
Vija AH, von Gall C, Ghosh P (2018) ‘Accurate, reproducible, and standardized quantification’, Siemens Medical Solutions USA, Inc., Molecular Imaging, White Paper, Accessed: Jul. 15, 2024. [Online]. Available: https://marketing.webassets.siemens-healthineers.com/1800000004691530/f7401b228654/MI-3610_xSPECT_QUANT_WP.FINAL_1800000004691530.pdf
Chen E-J, Safwan Selvam HS, Tan TH, Chew MT (Nov. 2021) Quantitative analysis of xQuant reconstruction algorithm in SPECT/CT. Radiat Phys Chem 188:109683. https://doi.org/10.1016/j.radphyschem.2021.109683
Tomita Y, Ichikawa Y, Hashizume K, Sakuma H (2023) ‘Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study’, J Digit Imaging, vol. 36, no. 5, pp. 2313–2321, Jun. https://doi.org/10.1007/s10278-023-00864-3
Kupitz D et al (Dec. 2021) Optimization of SPECT/CT imaging protocols for quantitative and qualitative 99mTc SPECT. EJNMMI Phys 8(1). https://doi.org/10.1186/s40658-021-00405-3
Okuda K et al (2021) Jun., ‘Multicenter Study of Quantitative SPECT: Reproducibility of

Auteurs

Robin Schepers (R)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland. Robin.schepers@extern.insel.ch.

Nasir Gözlügöl (N)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Kostantinos Zeimpekis (K)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Carola Maria Bregenzer (CM)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Christoph Gräni (C)

Department of Cardiology, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland.

Ali Afshar-Oromieh (A)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Axel Rominger (A)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Federico Caobelli (F)

Department of Nuclear Medicine, Bern University Hospital, Inselspital, University of Bern, Freiburgstrasse 18, Bern, 3011, Switzerland.

Classifications MeSH