SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:lup.lub.lu.se:eb22a876-e023-4f47-86bc-7c7621c920bc"
 

Search: onr:"swepub:oai:lup.lub.lu.se:eb22a876-e023-4f47-86bc-7c7621c920bc" > External Validation...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Van Holsbeke, Caroline (author)

External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses

  • Article/chapterEnglish2012

Publisher, publication year, extent ...

  • 2012

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:eb22a876-e023-4f47-86bc-7c7621c920bc
  • https://lup.lub.lu.se/record/2409575URI
  • https://doi.org/10.1158/1078-0432.CCR-11-0879DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Purpose: To externally validate and compare the performance of previously published diagnostic models developed to predict malignancy in adnexal masses. Experimental Design: We externally validated the diagnostic performance of 11 models developed by the International Ovarian Tumor Analysis (IOTA) group and 12 other (non-IOTA) models on 997 prospectively collected patients. The non-IOTA models included the original risk of malignancy index (RMI), three modified versions of the RMI, six logistic regression models, and two artificial neural networks. The ability of the models to discriminate between benign and malignant adnexal masses was expressed as the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and likelihood ratios (LR+, LR-). Results: Seven hundred and forty-two (74%) benign and 255 (26%) malignant masses were included. The IOTA models did better than the non-IOTA models (AUCs between 0.941 and 0.956 vs. 0.839 and 0.928). The difference in AUC between the best IOTA and the best non-IOTA model was 0.028 [95% confidence interval (CI), 0.011-0.044]. The AUC of the RMI was 0.911 (difference with the best IOTA model, 0.044; 95% CI, 0.024-0.064). The superior performance of the IOTA models was most pronounced in premenopausal patients but was also observed in postmenopausal patients. IOTA models were better able to detect stage I ovarian cancer. Conclusion: External validation shows that the IOTA models outperform other models, including the current reference test RMI, for discriminating between benign and malignant adnexal masses. Clin Cancer Res; 18(3); 815-25. (C)2011 AACR.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Van Calster, Ben (author)
  • Bourne, Tom (author)
  • Ajossa, Silvia (author)
  • Testa, Antonia C. (author)
  • Guerriero, Stefano (author)
  • Fruscio, Robert (author)
  • Lissoni, Andrea Alberto (author)
  • Czekierdowski, Artur (author)
  • Savelli, Luca (author)
  • Van Huffel, Sabine (author)
  • Valentin, LilLund University,Lunds universitet,Obstetrisk, gynekologisk och prenatal ultraljudsdiagnostik,Forskargrupper vid Lunds universitet,Obstetric, Gynaecological and Prenatal Ultrasound Research,Lund University Research Groups(Swepub:lu)obst-lva (author)
  • Timmerman, Dirk (author)
  • Obstetrisk, gynekologisk och prenatal ultraljudsdiagnostikForskargrupper vid Lunds universitet (creator_code:org_t)

Related titles

  • In:Clinical Cancer Research18:3, s. 815-8251078-0432

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

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 Close

Copy and save the link in order to return to this view