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Bone scan index as metastatic bone disease quantifier and predictor of radium-223-dichloride biochemical response

2019-06Journal article Restricted access
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dc.contributor.authorRoque, Valentin
dc.contributor.authorJessop, Maryam
dc.contributor.authorPereira, Luisa
dc.contributor.authorGape, Paul
dc.contributor.authorDizdarevic, Sabina
dc.contributor.authorSousa, Eva
dc.contributor.authorCarolino, Elisabete
dc.date.accessioned2019-06-21T11:41:28Z
dc.date.available2019-06-21T11:41:28Z
dc.date.issued2019-06
dc.description.abstractThis work aims to assess whether the biochemical response of radium-223-dichloride treatment can be predicted based on the pretherapy bone scan, and consequently, if bone scan index (BSI) and maximum lesion intensity have a place as alternatives or as complements to extent of bone disease (EOBD) scoring in predicting biochemical response to treatment. Many cases of advanced prostate cancer have evidence of bone metastasis. Accurate EOBD quantification could help predict the response to radium-223-dichloride therapy. Current EOBD score is simple to use but does not consider size, intensity or localization of lesion BSI might be more suitable for stratification of bone metastases. Patients and methods: Bone scans (n=20) preceding radium-223-dichloride treatment for prostate cancer were assessed retrospectively using automated BSI software (EXINI) and by assessing maximum counts per lesion. Results were then compared to total alkaline phosphatase (ALP) as a measure of biochemical response to therapy using linear regressions and to their EOBD scores using box plot analysis. Results: Moderate correlation was found between ALP response and maximum lesion intensity (R2=0.41) and BSI (R2=0.46). A strong correlation (R2=0.71) was found between baseline ALP and BSI and between lesion number and BSI (R2=0.60). Visual assessment of EOBD score was found to correlate well with baseline ALP and maximum ALP response. Conclusion: BSI is a useful asset in the stratification of patients with metastatic bone disease. It may also have a place in the prediction of biochemical response.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRoque V, Jessop M, Pereira L, Gape P, Sousa E, Carolino E, et al. Bone scan index as metastatic bone disease quantifier and predictor of radium-223-dichloride biochemical response. Nucl Med Commun. 2019;40(6):588-96.pt_PT
dc.identifier.doi10.1097/MNM.0000000000001005pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/10177
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherLippincott, Williams & Wilkinspt_PT
dc.relation.publisherversionhttps://journals.lww.com/nuclearmedicinecomm/Abstract/2019/06000/Bone_scan_index_as_metastatic_bone_disease.6.aspxpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAlkaline phosphatasept_PT
dc.subjectBone neoplasmspt_PT
dc.subjectBone and bonespt_PT
dc.subjectHumanspt_PT
dc.subjectMalept_PT
dc.subjectProstatic neoplasmspt_PT
dc.subjectRadioisotopespt_PT
dc.subjectRadiumpt_PT
dc.subjectRetrospective studiespt_PT
dc.subjectTreatment outcomept_PT
dc.subjectProstate cancerpt_PT
dc.titleBone scan index as metastatic bone disease quantifier and predictor of radium-223-dichloride biochemical responsept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage596pt_PT
oaire.citation.issue6pt_PT
oaire.citation.startPage588pt_PT
oaire.citation.titleNuclear Medicine Communicationspt_PT
oaire.citation.volume40pt_PT
person.familyNameCarolino
person.givenNameElisabete
person.identifier.ciencia-id1216-EFA3-1E0F
person.identifier.orcid0000-0003-4165-7052
person.identifier.ridF-1012-2015
person.identifier.scopus-author-id25821697000
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication77930d39-ed34-44dc-a4a6-9bf833e5e688
relation.isAuthorOfPublication.latestForDiscovery77930d39-ed34-44dc-a4a6-9bf833e5e688

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