Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113287
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dc.contributorDepartment of Health Technology and Informaticsen_US
dc.creatorChen, Zen_US
dc.creatorLi, Zen_US
dc.creatorHuang, YHen_US
dc.creatorTeng, Xen_US
dc.creatorZhang, Jen_US
dc.creatorXiong, Ten_US
dc.creatorDong, Yen_US
dc.creatorSong, Len_US
dc.creatorRen, Gen_US
dc.creatorCai, Jen_US
dc.date.accessioned2025-06-02T06:57:27Z-
dc.date.available2025-06-02T06:57:27Z-
dc.identifier.issn0031-9155en_US
dc.identifier.urihttp://hdl.handle.net/10397/113287-
dc.language.isoenen_US
dc.publisherInstitute of Physics Publishingen_US
dc.rights© 2025 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd.en_US
dc.rightsOriginal content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.en_US
dc.rightsThe following publication Chen, Z., Li, Z., Huang, Y. H., Teng, X., Zhang, J., Xiong, T., ... & Cai, J. (2025). Anatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapy. Physics in Medicine and Biology, 70(4), 045019 is available at https://doi.org/10.1088/1361-6560/adb123.en_US
dc.subjectLung functionen_US
dc.subjectPulmonary segmenten_US
dc.subjectRecoverable lung functionen_US
dc.subjectVentilation imageen_US
dc.titleAnatomy-wise lung ventilation imaging for precise functional lung avoidance radiation therapyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume70en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1088/1361-6560/adb123en_US
dcterms.abstractObjective. This study aimed to propose a method for obtaining anatomy-wise lung ventilation image (VIaw) that enables functional assessment of lung parenchyma and tumor-blocked pulmonary segments. The VIaw was used to define multiple functional volumes of the lung and thereby support radiation treatment planning.en_US
dcterms.abstractApproach. A super-voxel-based method was employed for functional assessment of lung parenchyma to generate VIsvd. In the VIsvd of the 11 patients with tumor blockage of the airway, the functional value in tumor-blocked segments was set to 0 to generate the VIaw. The lung was divided into regions of high functional volume (HFV), unrecoverable low functional volume (LFV), and recoverable LFV (rLFV, the region in the tumor-blocked segment with a high function value based on the VIsvd) to design three intensity-modulated photon plans for five patients. These plans were an anatomical-lung-guided plan (aPlan), a functional-lung-guided plan (fPlan), and a recoverable functional-lung-guided plan (rfPlan) where the latter protected both HFV and rLFV.en_US
dcterms.abstractMain results. The LFV in the reference ventilation images and the tumor-blocked segments had a high overlap similarity coefficient value of 0.90 ± 0.07. The mean Spearman correlation between the VIaw and reference ventilation images was 0.72 ± 0.05 for the patient with tumor blockage of the airway. The V20 and mean dose of rLFV in rfPlan were lower than those in aPlan by 12.1 ± 8.4% and 13.0 ± 6.4%, respectively, and lower than those in fPlan by 14.9 ± 9.8% and 15.9 ± 6.5%, respectively.en_US
dcterms.abstractSignificance. The VIaw can reach a moderate-strong correlation with reference ventilation images and thus can identify rLFV to support treatment planning to preserve lung function.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPhysics in medicine and biology, 16 Feb. 2025, v. 70, no. 4, 45019en_US
dcterms.isPartOfPhysics in medicine and biologyen_US
dcterms.issued2025-02-16-
dc.identifier.scopus2-s2.0-85218493111-
dc.identifier.pmid39889343-
dc.identifier.artn45019en_US
dc.description.validate202505 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe University Grants Committee, Health and Medical Research Fund from The Health Bureau; The Government of the Hong Kong Special Administrative Regions, PolyU (UGC) Start-up Fund for RAPs under the Strategic Hiring Scheme; PolyU (UGC) RI-IWEAR Seed Projecten_US
dc.description.pubStatusPublisheden_US
dc.description.TAIOP (2025)en_US
dc.description.oaCategoryTAen_US
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