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Related Experiment Video

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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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Radiomics from multisite MRI and clinical data to predict clinically significant prostate cancer.

Wolfgang Krauss1, Janusz Frey2, Jakob Heydorn Lagerlöf3,4

  • 1Department of Radiology and Medical Physics, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Acta Radiologica (Stockholm, Sweden : 1987)
|December 20, 2023
PubMed
Summary

Adding radiomics to MRI models did not significantly improve the prediction of clinically significant prostate cancer (csPCa). PSA density and PI-RADS scores remain the most potent predictors for csPCa diagnosis.

Keywords:
PI-RADSmagnetic resonance imagingmultisite-multivendorprostate cancerradiomics

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Magnetic resonance imaging (MRI) is crucial for diagnosing clinically significant prostate cancer (csPCa).
  • MRI-derived radiomics show potential for enhancing csPCa diagnosis.

Purpose of the Study:

  • To evaluate if adding radiomics from biparametric MRI to existing predictive models improves csPCa prediction.
  • The study assessed this in a multisite, multivendor setting.

Main Methods:

  • Clinical data (PSA, PSA density, age, prostate volume) and PI-RADS scores were collected.
  • Radiomics features (histogram, texture) were extracted from MRI.
  • Predictive models for csPCa (Gleason score ≥7) were built with and without radiomics for peripheral (PZ) and transition zones (TZ), compared using ROC curves.

Main Results:

  • Analysis included 456 lesions in 350 patients across different sites and MRI systems.
  • PI-RADS 4-5 and PSA density were independent predictors in both zones; age was also a predictor in the PZ.
  • Models incorporating radiomics showed no significant improvement in AUC compared to models without radiomics for either PZ or TZ.

Conclusions:

  • PSA density and PI-RADS scores are strong predictors of csPCa.
  • Radiomics analysis did not provide significant additional diagnostic information in this multisite, multivendor dataset.