Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105350
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dc.contributorResearch Institute for Smart Ageing-
dc.contributorDepartment of Biomedical Engineering-
dc.contributorDepartment of Health Technology and Informatics-
dc.creatorHo, LM-
dc.creatorLam, SK-
dc.creatorZhang, J-
dc.creatorChiang, CL-
dc.creatorChan, ACY-
dc.creatorCai, J-
dc.date.accessioned2024-04-12T06:51:52Z-
dc.date.available2024-04-12T06:51:52Z-
dc.identifier.urihttp://hdl.handle.net/10397/105350-
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Ho L-M, Lam S-K, Zhang J, Chiang C-L, Chan AC-Y, Cai J. Association of Multi-Phasic MR-Based Radiomic and Dosimetric Features with Treatment Response in Unresectable Hepatocellular Carcinoma Patients following Novel Sequential TACE-SBRT-Immunotherapy. Cancers. 2023; 15(4):1105 is available at https://doi.org/10.3390/cancers15041105.en_US
dc.subjectHepatocellular carcinomaen_US
dc.subjectImmunotherapyen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectRadiomicsen_US
dc.subjectStereotactic body radiotherapyen_US
dc.subjectTrans-arterial chemoembolizationen_US
dc.titleAssociation of multi-phasic MR-based radiomic and dosimetric features with treatment response in unresectable hepatocellular carcinoma patients following novel sequential TACE-SBRT-immunotherapyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue4-
dc.identifier.doi10.3390/cancers15041105-
dcterms.abstractThis study aims to investigate the association of pre-treatment multi-phasic MR-based radiomics and dosimetric features with treatment response to a novel sequential trans-arterial chemoembolization (TACE) plus stereotactic body radiotherapy (SBRT) plus immunotherapy regimen in unresectable Hepatocellular Carcinoma (HCC) sub-population. Twenty-six patients with unresectable HCC were retrospectively analyzed. Radiomic features were extracted from 42 lesions on arterial phase (AP) and portal-venous phase (PVP) MR images. Delta-phase (DeltaP) radiomic features were calculated as AP-to-PVP ratio. Dosimetric data of the tumor was extracted from dose-volume-histograms. A two-sided independent Mann–Whitney U test was used to assess the clinical association of each feature, and the classification performance of each significant independent feature was assessed using logistic regression. For the 3-month timepoint, four DeltaP-derived radiomics that characterize the temporal change in intratumoral randomness and uniformity were the only contributors to the treatment response association (p-value = 0.038–0.063, AUC = 0.690–0.766). For the 6-month timepoint, DeltaP-derived radiomic features (n = 4) maintained strong clinical associations with the treatment response (p-value = 0.047–0.070, AUC = 0.699–0.788), additional AP-derived radiomic features (n = 4) that reflect baseline tumoral arterial-enhanced signal pattern and tumor morphology (n = 1) that denotes initial tumor burden were shown to have strong associations with treatment response (p-value = 0.028–0.074, AUC = 0.719–0.773). This pilot study successfully demonstrated associations of pre-treatment multi-phasic MR-based radiomics with tumor response to the novel treatment regimen.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationCancers, Feb. 2023, v. 15, no. 4, 1105-
dcterms.isPartOfCancers-
dcterms.issued2023-02-
dc.identifier.scopus2-s2.0-85149025348-
dc.identifier.eissn2072-6694-
dc.identifier.artn1105-
dc.description.validate202403 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextShenzhen-Hong Kong-Macau S and T Program (Category C); Shenzhen Science and Technology Innovation Committee, Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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