Probability of positive resection margins after breast-conserving surgery
Obtaining clear resection margins (RM) is a critical determinant of local recurrence in breast conserving surgery (BCS) for breast cancer. This nomogram calculates the probability of positive RMs based on five imaging or pathologic factors.
Research authors: Shin HC, Han W, Moon HG, Cho N, Moon WK, Park IA, Park SJ, and Noh DY.
Version: 1.26
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

Probability of positive surgical margins:

{{ resultSubheader }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

How this model should be used:
This nomogram was developed to predict positive resection margins. 

Model performance:
The nomogram was validated independently using a cohort of 563 patients who underwent breast surgery in 2010. The AUC of the validation cohort was 0.846 (95 % CI, 0.800–0.892). Calibration of the nomogram was assessed using an independent validation cohort. In general, the actual proportion of patients with positive resection margins and the predictive probability of positive resection margins were similar, according to the calibration plot. 

{{ file.classification }}
PRO
Note
Notes are only visible in the result download and will not be saved by Evidencio

This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

Underlying models Part of
Comments
Comment
Please enter a comment
Comments are visible to anyone

Model feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments
On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
{{ comment.content }}
logo

Please sign in to enable Evidencio print features

In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:

https://www.evidencio.com/registration

Printed results - Examples {{ new Date().toLocaleString() }}


Evidencio Community Account Benefits


With an Evidencio Community account you can:

  • Create and publish your own prediction models.
  • Share your prediction models with your colleagues, research group, organization or the world.
  • Review and provide feedback on models that have been shared with you.
  • Validate your models and validate models from other users.
  • Find models based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction models and their data.
  • Use patient specific protocols and guidelines based on sequential models and decision trees.
  • Stay up-to-date with new models in your field as they are published.
  • Create your own lists of favorite models and topics.

A personal Evidencio account is free, with no strings attached!
Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction models.


Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
Evidencio v3.25 © 2015 - 2024 Evidencio. All Rights Reserved