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, David Bourhis
{"title":"肺摄取值（PUV）：一种新的肺PET/CT成像量化方法。","authors":"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, David Bourhis","doi":"10.1186/s13550-025-01274-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A 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.</p><p><strong>Results: </strong>The 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.</p><p><strong>Conclusion: </strong>The 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.</p><p><strong>Trial registration: </strong>NCT04942275. Registered 19 June 2021.</p>","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"15 1","pages":"79"},"PeriodicalIF":3.1000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12214062/pdf/","citationCount":"0","resultStr":"{\"title\":\"Pulmonary uptake value (PUV): a new quantification method for lung PET/CT imaging.\",\"authors\":\"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, David Bourhis\",\"doi\":\"10.1186/s13550-025-01274-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>A 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.</p><p><strong>Results: </strong>The 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.</p><p><strong>Conclusion: </strong>The 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.</p><p><strong>Trial registration: </strong>NCT04942275. 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Pulmonary uptake value (PUV): a new quantification method for lung PET/CT imaging.
Background: A 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.
Results: The 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.
Conclusion: The 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 registration: NCT04942275. Registered 19 June 2021.
EJNMMI ResearchRADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING&nb-
CiteScore
5.90
自引率
3.10%
发文量
72
审稿时长
13 weeks
期刊介绍：
EJNMMI Research publishes new basic, translational and clinical research in the field of nuclear medicine and molecular imaging. Regular features include original research articles, rapid communication of preliminary data on innovative research, interesting case reports, editorials, and letters to the editor. Educational articles on basic sciences, fundamental aspects and controversy related to pre-clinical and clinical research or ethical aspects of research are also welcome. Timely reviews provide updates on current applications, issues in imaging research and translational aspects of nuclear medicine and molecular imaging technologies.
The main emphasis is placed on the development of targeted imaging with radiopharmaceuticals within the broader context of molecular probes to enhance understanding and characterisation of the complex biological processes underlying disease and to develop, test and guide new treatment modalities, including radionuclide therapy.
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