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

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

doi:https://doi.org/10.1007/s12149-025-02017-8

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

Tatsumi, Mitsuaki; Morita, Naomi; Kida, Akira et al.

Annals of Nuclear Medicine, 2025

Number of Access:860（2025-08-14 18:27 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/100336

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Title	Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations
Creator	NRID 1000060397700 1000060397700 ORCID 0000-0003-1778-0421 0000-0003-1778-0421 researchmap permalink mtatsumi mtatsumi Scopus Author ID 7102266657 7102266657 CreatorName Tatsumi, Mitsuaki
	CreatorName Morita, Naomi
	CreatorName Kida, Akira
	CreatorName Momoi, Risa
	NRID 1000050598604 1000050598604 ORCID 0000-0002-2081-3020 0000-0002-2081-3020 researchmap permalink researchmap5849 researchmap5849 CreatorName Isohashi, Kayako
	CreatorName Okada, Atsuya
	NRID 1000050294070 1000050294070 researchmap permalink 3430 3430 Scopus Author ID 7006024942 7006024942 CreatorName Tomiyama, Noriyuki
Subject	PET
	Data-driven respiratory gating
	Breast
	Liver
	Pancreas
	Abdomen
Description	The version of record of this article, first published in Annals of Nuclear Medicine, is available online at Publisher’s website: https://doi.org/10.1007/s12149-025-02017-8.
Abstract	Objective: Data-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. Methods: A 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. Results: Visual 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. Conclusion: This 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.
Publisher	Springer Science and Business Media LLC
Source Title	Annals of Nuclear Medicine
Date of Issued	2025-01-23
Language	English
Handle URL	https://hdl.handle.net/11094/100336
PISSN	09147187
eISSN	18646433
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1007/s12149-025-02017-8
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCTERMS.bibliographicCitation	Annals of Nuclear Medicine. 2025
DC.title	Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations
DC.creator	Tatsumi, Mitsuaki
	Morita, Naomi
	Kida, Akira
	Momoi, Risa
	Isohashi, Kayako
	Okada, Atsuya
	Tomiyama, Noriyuki
DC.publisher	Springer Science and Business Media LLC
DC.language' scheme='DCTERMS.RFC1766	English
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2025-01-23
DC.identifier	https://doi.org/10.1007/s12149-025-02017-8
DC.subject	PET
	Data-driven respiratory gating
	Breast
	Liver
	Pancreas
	Abdomen
DC.description	The version of record of this article, first published in Annals of Nuclear Medicine, is available online at Publisher’s website: https://doi.org/10.1007/s12149-025-02017-8.
DCTERMS.abstract	Objective: Data-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. Methods: A 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. Results: Visual 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. Conclusion: This 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.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	100336
citation_title	Effects of data-driven respiratory gating on visualization and quantification of breast and upper abdominal cancers in FDG PET/CT examinations
citation_author	Tatsumi, Mitsuaki
	Morita, Naomi
	Kida, Akira
	Momoi, Risa
	Isohashi, Kayako
	Okada, Atsuya
	Tomiyama, Noriyuki
citation_publisher	Springer Science and Business Media LLC
citation_language	English
citation_date	2025-01-23
citation_journal_title	Annals of Nuclear Medicine
citation_doi	https://doi.org/10.1007/s12149-025-02017-8
citation_public_url	https://hdl.handle.net/11094/100336

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

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