Evidence map›Paper›PMID 40801000›Full record

ArticleFrontiers in nuclear medicine2025

EARL compliance on the Biograph Vision Quadra PET-CT: phantom study for static and continuous bed motion acquisitions.

Beverley F Holman, Tamar Willson, Bruno Ferreira, Neil Davis, Hemangini Natarajan, Jannat Khan, Thomas Wagner, Daniel McCool

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Article in Frontiers in nuclear medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Beverley F HolmanNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Tamar WillsonNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Bruno FerreiraNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Neil DavisNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Hemangini NatarajanNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Jannat KhanNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Thomas WagnerNuclear Medicine, Royal Free Hospital, London, United Kingdom.
Daniel McCoolNuclear Medicine, Royal Free Hospital, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Long axial field-of-view (LAFOV) PET systems like the Siemens Biograph Vision Quadra offer unprecedented sensitivity and imaging capabilities, but compliance with EARL standards across all acquisition modes remains unexplored. This study aimed to identify reconstruction parameters meeting EARL 1 and 2 compliance for static and continuous bed motion (CBM) acquisitions in High Sensitivity (HS) and Ultra-High Sensitivity (UHS) modes on the Quadra. The research focused on optimising image quality while maintaining compliance with quantitative standards. Methods: The International Electrotechnical Commission (IEC) body phantom was filled with Results: Reconstruction parameters achieving EARL compliance were identified for all acquisition modes, with no differences between static and CBM reconstructions. Achieving EARL compliance required significant image quality reductions, especially for EARL 1, with greater degradation in UHS mode. Patient images reconstructed with EARL-compliant parameters appeared smoother and had reduced contrast compared to clinical reconstructions. Conclusion: While EARL compliance ensures quantitative standardisation, it significantly reduces image quality, especially on advanced LAFOV PET systems. An updated "EARL 3" standard is needed to reflect the capabilities of modern systems.

Indexed as

EARLharmonisationimage qualityLAFOVPET-CTQuadra

Identifiers

PMID40801000
PMCPMC12339562

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