Evidence map›Paper›PMID 42412282›Full record

ArticleEJNMMI research2026

Development and validation of a pulmonary embolism quantification method using single photon emission computed tomography ventilation and perfusion scintigraphy.

Harini Fernando, Christopher Sibley-Allen, Charlotte Fowler, Livieratos Lefteris

Abstract read
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Article in EJNMMI research, 2026. 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

4 authors.

Harini FernandoSchool of Biomedical and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.ORCID http://orcid.org/0009-0000-3835-8700
Christopher Sibley-AllenDepartment of Nuclear Medicine, Guys and St Thomas' NHS Foundation Trust, London, UK.
Charlotte FowlerSchool of Biomedical and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Livieratos LefterisSchool of Biomedical and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK. lefteris.livieratos@kcl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary embolism (PE) remains an important cause of cardiovascular death and morbidity worldwide. Conventionally, PE imaging is reported in a binary manner, with reports stating the presence or absence of a thrombus. No generally accepted graduated quantification systems are available to guide management or predict the development of acute or long-term complications. V/Q SPECT is a well-established method for diagnosing PE in acute and chronic settings. The use of volumetric perfusion and ventilation functional images could potentially calculate the volumetric PE burden. This project aimed to develop and optimise a volumetric V/Q SPECT PE quantification technique, utilising V/Q SPECT phantoms, 100 consecutive clinical V/Q SPECT studies, and advanced V/Q SPECT image analysis with semiautomated %PE quantification methods.

resultsLung phantoms with PE defects of known volume demonstrated that the choice of acquisition, reconstruction parameters, and the volumetric cutoff threshold influences %PE results. The V/Q quotient image utilised a semiautomated technique with phantom-derived optimisation parameters, which was found to be the most accurate quantification method.

conclusionThis study, combining phantom and clinical study analysis, developed a successful method for semiautomated V/Q SPECT %PE quantification, which has the potential utility of guiding patient management and outcome prediction.

Indexed as

Pulmonary embolismQuantificationV/Q SPECT

Identifiers

PMID42412282
PMCPMC13627622

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.