Evidence map›Paper›PMID 39843613›Full record

ArticleAnnals of nuclear medicine2025

Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations.

Mitsuaki Tatsumi, Naomi Morita, Akira Kida, Risa Momoi, Kayako Isohashi, Atsuya Okada, Noriyuki Tomiyama

Abstract read
In one paragraph

Article in Annals of 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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0citing papers in PubMed
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1 · What the graph read from it

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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

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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

7 authors.

Mitsuaki TatsumiDepartment of Radiology, The University of Osaka Hospital, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan. m-tatsumi@radiol.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0003-1778-0421
Naomi MoritaJinsenkai MI Clinic, Toyonaka, Japan.
Akira KidaJinsenkai MI Clinic, Toyonaka, Japan.
Risa MomoiJinsenkai MI Clinic, Toyonaka, Japan.
Kayako IsohashiDepartment of Radiology, The University of Osaka Hospital, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Atsuya OkadaJinsenkai MI Clinic, Toyonaka, Japan.
Noriyuki TomiyamaDepartment of Radiology, The University of Osaka Hospital, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveData-driven respiratory gating (DDG) has recently been introduced to improve image quality in the PET portion of PET/CT examinations. The latest DDG system does not require any external equipment or extended examination time. In this study, we investigated the effects of the new DDG system on the visualization and quantification of breast and upper abdominal cancers, comparing the results with those obtained using the standard free-breathing (STD) PET protocol.

methodsA total of 223 cancer lesions (138 breast and 85 upper abdominal) evaluated with FDG PET/CT were included in this study. PET images were reconstructed using the STD and DDG algorithms. Lesion blurring and conspicuity were each visually graded on a three-point scale. The longest diameter (LD), SUVmax, and metabolic tumor volume (MTV) of the lesions were used for quantitative analysis. % change in SUVmax or MTV was calculated from the metrics in STD and DDG images. Fifty-six texture features (TFs) were also evaluated. Visual scores and quantitative metrics were compared between STD and DDG images. % change in SUVmax or MTV was compared in the lesion location groups or in the high and low groups based on LD, SUVmax, or MTV in STD images.

resultsVisual scores for lesion blurring and conspicuity were both significantly higher in DDG than in STD PET images. SUVmax and MTV were significantly higher and lower, respectively, in DDG than in STD images. An increase in SUVmax and a decrease in MTV were observed in 96% and 86% of all lesions, respectively. Group analysis revealed that % change in SUVmax was greater in the upper abdominal than the breast lesions and % change in MTV was greater in the high LD and high MTV groups than in the low LD and low MTV groups, respectively. Quantitative changes in TFs were observed between STD and DDG images for most of the features.

conclusionThis study demonstrated that DDG improved visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations. DDG PET images exhibited an increase in SUVmax, a decrease in MTV, and changes in TFs.

Indexed as

Abdominal NeoplasmsBreast NeoplasmsFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyRespiratory-Gated Imaging TechniquesAdultAgedAged, 80 and overFemaleHumansImage Processing, Computer-AssistedMiddle AgedFluorodeoxyglucose F18AbdomenBreastData-driven respiratory gatingLiverPancreasPET

Identifiers

PMID39843613
PMCPMC12014764

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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.