Evidence map›Paper›PMID 40591115›Full record

ArticleEJNMMI research2025

Pulmonary uptake value (PUV): a new quantification method for lung PET/CT imaging.

Pierre-Yves Le Roux, Romain Le Pennec, Vincent Bourbonne, Frédérique Blanc-Béguin, Mathieu Pavoine, Kevin Kerleguer, Maëlle Mauguen, Olivier Pradier, Pierre-Yves Salaun, François Lucia and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in EJNMMI research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04942275 (Lung Perfusion PET / CT Using Gallium68-MMA for Preservation of Lung Function During Stereotactic Pulmonary Radiation Therapy), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04942275 phase2 / phase3unknown statusnot on this map

Lung Perfusion PET / CT Using Gallium68-MMA for Preservation of Lung Function During Stereotactic Pulmonary Radiation Therapy

TypeinterventionalSponsorUniversity Hospital, BrestRan2021 to 2023Enrolled60ConditionsSBRT, Non-small Cell Lung Cancer, Lung MetastasisArmsPre-therapeutic imaging test
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pierre-Yves Le RouxUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France. pierre-yves.leroux@chu-brest.fr.ORCID http://orcid.org/0000-0002-8534-8203
Romain Le PennecUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.
Vincent BourbonneUniv Brest, CHU Brest, Radiation Oncology Department, LaTIM, INSERM, UMR 1101, Brest, France.
Frédérique Blanc-BéguinUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.
Mathieu PavoineUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.
Kevin KerleguerUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.
Maëlle MauguenUniv Brest, CHU Brest, Radiation Oncology Department, LaTIM, INSERM, UMR 1101, Brest, France.
Olivier PradierUniv Brest, CHU Brest, Radiation Oncology Department, LaTIM, INSERM, UMR 1101, Brest, France.
Pierre-Yves SalaunUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.
François LuciaUniv Brest, CHU Brest, Radiation Oncology Department, LaTIM, INSERM, UMR 1101, Brest, France.
David BourhisUniv Brest, CHU Brest, Médecine Nucléaire, GETBO, INSERM, UMR1304, CHU Cavale Blanche, 29609, Brest Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA current limitation to the use of lung PET/CT is the absence of a tool that reliably and reproducibly quantifies the intensity of tracer uptake. We aim to develop a quantitative approach for lung perfusion PET/CT imaging. Sixty patients who underwent [68Ga]Ga-MAA PET/CT scans before (M0) and 3 months (M3) after completion of radiotherapy were analyzed. The anatomical lung volume (ALV) was delineated on the CT scan. CT and PET images were co-registered, and the ALV was transferred onto the PET images. The measured activity concentration (kBq/L) in each voxel was converted in three metrics: SUV based on normalizing the measured activity to the patient's weight (kg) and the injected dose (kBq); SUVp by normalizing to the ALV (L) and the injected dose (kBq); pulmonary uptake value (PUV) by normalizing to the ALV (L) and the total activity measured in the ALV (kBq). The mean SUV, SUVp and PUV values within the ALV were measured.

resultsThe mean (SD) SUV in the ALV was 9.90 (5.24) with an inconsistently wide range of values from 0.11 to 22.52. The correlation coefficient between the patient's weight and the ALV was 0.14. The mean (SD) SUVp in the ALV was 0.54 (0.09). The mean (SD) percentage of [68Ga]Ga-MAA lung retention was 58.2% (7.7%), with significant variability both between patients and within repeated scans of the same patient. The mean PUV in the ALV used for normalization was equal to 1. Quantitative methods were tested in challenging scenarios for quantification, including patients exhibiting decorrelation between ALV and patient's weight and patients with different percentage of [68Ga]Ga-MAA lung retention between M0 and M3. In contrast to the SUV and SUVp metrics, the PUV method showed coherent results compared to visual analysis.

conclusionThe patient's weight and the injected activity are not suitable parameters for normalization in lung perfusion quantification. We proposed a quantitative metric for lung perfusion PET/CT imaging, based on normalizing the measured activity to the ALV computed from a co-registered CT scan and to the total activity measured in the ALV.

trial registrationNCT04942275. Registered 19 June 2021.

Indexed as

Lung PET/CTLung scintigraphyPUVQuantification

Identifiers

PMID40591115
PMCPMC12214062

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Registered trials

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.