Comparison of Tumor Volume Parameters on Prostate Cancer Biopsies.


Journal

Archives of pathology & laboratory medicine
ISSN: 1543-2165
Titre abrégé: Arch Pathol Lab Med
Pays: United States
ID NLM: 7607091

Informations de publication

Date de publication:
06 Jan 2020
Historique:
entrez: 7 1 2020
pubmed: 7 1 2020
medline: 7 1 2020
Statut: aheadofprint

Résumé

Prostate biopsy reports require an indication of prostate cancer volume. No consensus exists on the methodology of tumor volume reporting. To compare the prognostic value of different biopsy prostate cancer volume parameters. Prostate biopsies of the European Randomized Study of Screening for Prostate Cancer were reviewed (n = 1031). Tumor volume was quantified in 6 ways: average estimated tumor percentage, measured total tumor length, average calculated tumor percentage, greatest tumor length, greatest tumor percentage, and average tumor percentage of all biopsies. Their prognostic value was determined by using either logistic regression for extraprostatic expansion (EPE) and surgical margin status after radical prostatectomy (RP), or Cox regression for biochemical recurrence-free survival (BCRFS) and disease-specific survival (DSS) after RP (n = 406) and radiation therapy (RT) (n = 508). All tumor volume parameters were significantly mutually correlated ( All tumor volume parameters had comparable prognostic value and could be used in clinical practice. If tumor volume quantification is a threshold for treatment decision, calculated tumor length seems preferential, slightly outperforming the other parameters.

Identifiants

pubmed: 31904279
doi: 10.5858/arpa.2019-0361-OA
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Geert J L H van Leenders (GJLH)

From the Departments of Pathology (Ms Verhoef, Drs Kweldam, Kümmerlin, and van Leenders), Public Health (Mr Nieboer), Urology (Mr Nieboer, Drs Bangma and Roobol), and Radiotherapy (Dr Incrocci), Erasmus MC University Medical Center, Rotterdam, the Netherlands; and Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada (Dr van der Kwast).

Classifications MeSH