umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Imaging Biomarkers as Predictors for Breast Cancer Death
Umeå universitet, Medicinska fakulteten, Institutionen för strålningsvetenskaper, Onkologi.ORCID-id: 0000-0002-6169-5155
Visa övriga samt affilieringar
2019 (Engelska)Ingår i: Journal of Oncology, ISSN 1687-8450, E-ISSN 1687-8469, artikel-id 2087983Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Background. To differentiate the risk of breast cancer death in a longitudinal cohort using imaging biomarkers of tumor extent and biology, specifically, the mammographic appearance, basal phenotype, histologic tumor distribution, and conventional tumor attributes. Methods. Using a prospective cohort study design, 498 invasive breast cancer patients diagnosed between 1996 and 1998 were used as the test cohort to assess the independent effects of the imaging biomarkers and other predictors on the risk of breast cancer death. External validation was performed with a cohort of 848 patients diagnosed between 2006 and 2010. Results. Mammographic tumor appearance was an independent predictor of risk of breast cancer death (P=0.0003) when conventional tumor attributes and treatment modalities were controlled. The casting type calcifications and architectural distortion were associated with 3.13-fold and 3.19-fold risks of breast cancer death, respectively. The basal phenotype independently conferred a 2.68-fold risk compared with nonbasal phenotype. The observed deaths did not differ significantly from expected deaths in the validation cohort. The application of imaging biomarkers together with other predictors classified twelve categories of risk for breast cancer death. Conclusion. Combining imaging biomarkers such as the mammographic appearance of the tumor with the histopathologic distribution and basal phenotype, accurately predicted long-term risk of breast cancer death. The information may be relevant for determining the need for molecular testing, planning treatment, and determining the most appropriate clinical surveillance schedule for breast cancer patients.

Ort, förlag, år, upplaga, sidor
Hindawi Publishing Corporation, 2019. artikel-id 2087983
Nationell ämneskategori
Cancer och onkologi
Identifikatorer
URN: urn:nbn:se:umu:diva-158976DOI: 10.1155/2019/2087983ISI: 000465303400001PubMedID: 31093281Scopus ID: 2-s2.0-85065646420OAI: oai:DiVA.org:umu-158976DiVA, id: diva2:1318224
Tillgänglig från: 2019-05-27 Skapad: 2019-05-27 Senast uppdaterad: 2019-10-11Bibliografiskt granskad

Open Access i DiVA

fulltext(2117 kB)60 nedladdningar
Filinformation
Filnamn FULLTEXT02.pdfFilstorlek 2117 kBChecksumma SHA-512
f9733789e890ae5089f31a47ba92a11e7ee5b6f3cb355ba07b1a928ca702434ad68b6845fcee35deeeeaad6009ad2beffdb71139851f7111a4a2672413300753
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextPubMedScopus

Personposter BETA

Wu, Wendy Yi-Ying

Sök vidare i DiVA

Av författaren/redaktören
Wu, Wendy Yi-Ying
Av organisationen
Onkologi
I samma tidskrift
Journal of Oncology
Cancer och onkologi

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 104 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 132 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf