Validation and Clinical Utility of a Prediction Model for the Risk of Upstaging to Invasive Breast Cancer After a Biopsy Diagnosis Ductal Carcinoma In Situ

  • Claudia J.C. Meurs*
  • , Sara van Bekkum
  • , Joost van Rosmalen
  • , Marian B.E. Menke-Pluijmers
  • , Sabine Siesling
  • , Pieter J. Westenend
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
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Abstract

Background:

This study aimed to validate the DCIS-upstage model, a previously developed model to predict the risk of upstaging to invasive breast cancer in patients with biopsy-proven ductal carcinoma in situ (DCIS) in a more recent cohort and to assess the model’s clinical utility.

Methods: 

The model was validated in a registry cohort (n = 2269) and in an institution cohort (n = 302). A calibration plot was made, followed by a decision curve analysis (DCA). The model’s area under the curve (AUC) was compared with the AUC of another published model and with the AUCs of new models using the risk factors of the DCIS-upstage model and additional risk factors. 

Results: 

The DCIS-upstage model had an AUC of 0.67 at development; in the validation, the AUC was 0.65 in the registry cohort and 0.73 in the institution cohort. The DCA showed that the model has clinical utility. The other published model had an AUC of 0.66 in the institution cohort. Adding risk factors to the DCIS-upstage model slightly increased the AUC. 

Conclusions: 

The DCIS-upstage prediction model is valid in other cohorts. The model has clinical utility and may be used to select patients with biopsy-proven DCIS for sentinel lymph node biopsy.

Original languageEnglish
Pages (from-to)7069-7080
Number of pages12
JournalAnnals of Surgical Oncology
Volume30
Issue number12
DOIs
Publication statusPublished - Nov 2023

Bibliographical note

Funding Information:
This work was supported by a grant from the Stichting Vriendenfonds Albert Schweitzer ziekenhuis and by a grant from Pink Ribbon, the Netherlands.

Funding Information:
The authors thank the Dutch Pathology Databank in the Netherlands and the Netherlands Comprehensive Cancer Organization for providing data that were used to build the registry cohort.

Publisher Copyright:
© 2023, The Author(s).

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