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Article: Association between MRI histogram features and treatment response in locally advanced cervical cancer treated by chemoradiotherapy

TitleAssociation between MRI histogram features and treatment response in locally advanced cervical cancer treated by chemoradiotherapy
Authors
KeywordsUterine cervical neoplasms
Chemoradiotherapy
Observer variation
Magnetic resonance imaging
Diffusion magnetic resonance imaging
Issue Date2021
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00330/index.htm
Citation
European Radiology, 2021, v. 31 n. 3, p. 1727-1735 How to Cite?
AbstractObjective: To examine the associations of histogram features of T2-weighted (T2W) images and apparent diffusion coefficient (ADC) with treatment response in locally advanced cervical cancer (LACC) following concurrent chemoradiotherapy (CCRT). Materials and methods: Fifty-eight patients who underwent a 4-week CCRT regimen with MRI prior to treatment (pre-CCRT) and after treatment (post-CCRT) were retrospectively analysed. Histogram features were calculated from volumes of interest (VOIs) from one radiologist on T2W images and ADC maps. VOIs from two radiologists were used to assess observer repeatability in delineation and feature values at both time-points with the Dice similarity coefficient (DSC) and intraclass correlation coefficient (ICC). Treatment response was defined as a 90% reduction in tumour volume. Paired Mann-Whitney U tests were used to determine if features changed significantly between examinations. Two-sample Mann-Whitney U tests were used to identify features that were significantly different between response groups. Receiver operating characteristic (ROC) analysis was done on significantly different MRI features between treatment response groups. Results: Pre-CCRT delineation and feature repeatability were generally good (DSC > 0.700; ICC > 0.750). Post-CCRT repeatability was low (DSC < 0.700; ICC < 0.750), but ADC mean and percentiles retained good ICC scores. All features, except for T2WKurtosis, significantly changed between examinations. Post-CCRT ADC50 was the only feature that demonstrated both good observer variability and significant differences between treatment response groups (p = 0.036) and had an AUC of 0.701 with a cut-off of 1.357 × 10−6 mm2/s. Conclusion: ADC and T2W histogram features could be used to track changes in LACC tumours undergoing CCRT. Post-CCRT ADC50 was associated with treatment response with good observer repeatability.
Persistent Identifierhttp://hdl.handle.net/10722/289259
ISSN
2023 Impact Factor: 4.7
2023 SCImago Journal Rankings: 1.656
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPerucho, JAU-
dc.contributor.authorWang, M-
dc.contributor.authorTse, KY-
dc.contributor.authorIp, PPC-
dc.contributor.authorSiu, SWK-
dc.contributor.authorNgan, HYS-
dc.contributor.authorKhong, PL-
dc.contributor.authorLee, EYP-
dc.date.accessioned2020-10-22T08:10:07Z-
dc.date.available2020-10-22T08:10:07Z-
dc.date.issued2021-
dc.identifier.citationEuropean Radiology, 2021, v. 31 n. 3, p. 1727-1735-
dc.identifier.issn0938-7994-
dc.identifier.urihttp://hdl.handle.net/10722/289259-
dc.description.abstractObjective: To examine the associations of histogram features of T2-weighted (T2W) images and apparent diffusion coefficient (ADC) with treatment response in locally advanced cervical cancer (LACC) following concurrent chemoradiotherapy (CCRT). Materials and methods: Fifty-eight patients who underwent a 4-week CCRT regimen with MRI prior to treatment (pre-CCRT) and after treatment (post-CCRT) were retrospectively analysed. Histogram features were calculated from volumes of interest (VOIs) from one radiologist on T2W images and ADC maps. VOIs from two radiologists were used to assess observer repeatability in delineation and feature values at both time-points with the Dice similarity coefficient (DSC) and intraclass correlation coefficient (ICC). Treatment response was defined as a 90% reduction in tumour volume. Paired Mann-Whitney U tests were used to determine if features changed significantly between examinations. Two-sample Mann-Whitney U tests were used to identify features that were significantly different between response groups. Receiver operating characteristic (ROC) analysis was done on significantly different MRI features between treatment response groups. Results: Pre-CCRT delineation and feature repeatability were generally good (DSC > 0.700; ICC > 0.750). Post-CCRT repeatability was low (DSC < 0.700; ICC < 0.750), but ADC mean and percentiles retained good ICC scores. All features, except for T2WKurtosis, significantly changed between examinations. Post-CCRT ADC50 was the only feature that demonstrated both good observer variability and significant differences between treatment response groups (p = 0.036) and had an AUC of 0.701 with a cut-off of 1.357 × 10−6 mm2/s. Conclusion: ADC and T2W histogram features could be used to track changes in LACC tumours undergoing CCRT. Post-CCRT ADC50 was associated with treatment response with good observer repeatability.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00330/index.htm-
dc.relation.ispartofEuropean Radiology-
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI]-
dc.subjectUterine cervical neoplasms-
dc.subjectChemoradiotherapy-
dc.subjectObserver variation-
dc.subjectMagnetic resonance imaging-
dc.subjectDiffusion magnetic resonance imaging-
dc.titleAssociation between MRI histogram features and treatment response in locally advanced cervical cancer treated by chemoradiotherapy-
dc.typeArticle-
dc.identifier.emailPerucho, JAU: peruchoj@hku.hk-
dc.identifier.emailTse, KY: tseky@hku.hk-
dc.identifier.emailIp, PPC: philipip@hku.hk-
dc.identifier.emailSiu, SWK: siuwks@hkucc.hku.hk-
dc.identifier.emailNgan, HYS: hysngan@hkucc.hku.hk-
dc.identifier.emailKhong, PL: plkhong@hku.hk-
dc.identifier.emailLee, EYP: eyplee77@hku.hk-
dc.identifier.authorityTse, KY=rp02391-
dc.identifier.authorityIp, PPC=rp01890-
dc.identifier.authorityNgan, HYS=rp00346-
dc.identifier.authorityKhong, PL=rp00467-
dc.identifier.authorityLee, EYP=rp01456-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s00330-020-07217-6-
dc.identifier.pmid32885298-
dc.identifier.scopuseid_2-s2.0-85090192803-
dc.identifier.hkuros317182-
dc.identifier.volume31-
dc.identifier.issue3-
dc.identifier.spage1727-
dc.identifier.epage1735-
dc.identifier.isiWOS:000566349400006-
dc.publisher.placeGermany-
dc.identifier.issnl0938-7994-

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