SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Sheng Ying)
 

Sökning: WFRF:(Sheng Ying) > Imaging Biomarkers ...

  • Wu, Wendy Yi-YingUmeå universitet,Onkologi (författare)

Imaging Biomarkers as Predictors for Breast Cancer Death

  • Artikel/kapitelEngelska2019

Förlag, utgivningsår, omfång ...

  • Hindawi Publishing Corporation,2019
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:umu-158976
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-158976URI
  • https://doi.org/10.1155/2019/2087983DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • 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.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Tabar, Laszlo (författare)
  • Tot, Tibor (författare)
  • Fann, Ching-Yuan (författare)
  • Yen, Amy Ming-Fang (författare)
  • Chen, Sam Li-Sheng (författare)
  • Chiu, Sherry Yueh-Hsia (författare)
  • Ku, May Mei-Sheng (författare)
  • Hsu, Chen-Yang (författare)
  • Beckmann, Kerri R. (författare)
  • Smith, Robert A. (författare)
  • Duffy, Stephen W. (författare)
  • Chen, Hsiu-Hsi (författare)
  • Umeå universitetOnkologi (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Journal of Oncology: Hindawi Publishing Corporation1687-84501687-8469

Internetlänk

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy