Prediction of seminal vesicle invasion including multiparametric MRI
The current model estimates the risk of prostatic cancer involving the seminal vesicles. Next to clinical characteristics, the model also incorporates SVI presence on multiparametric magnetic resonance imaging (mp-MRI). 
Research authors: Alberto Martini, Akriti Gupta, Shivaram Cumarasamy, Sara C Lewis, Kenneth G Haines III, Alberto Briganti, Francesco Montorsi, Ashutosh K Tewari
  • Public
  • Urology
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation

The risk for seminal vesicle involvement is:

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

Conditional information

The current model showed an area under the curve of 0.85 (95% CI: 0.818 - 0.911) on internal validation. Where SVI prediction on mpMRI alone showed an AUC of 0.59 (95% CI: 0.540 - 0.643). 

Decision curve analysis showed a benefit of applying the model in clinical practice with threshold probabilities ≤25%. 

Internal validation showed a slight miscalibration of predicted SVI probabilities >40%. However, it is highly unlikely that surgeons will attempt a conservative approach to the seminal vesicles if the risk of involvement is higher than 40%. 

{{ 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:
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 v3.13 © 2015 - 2022 Evidencio. All Rights Reserved