Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation - Summary - MDSpire

Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation

  • By

  • Denise J. van der Reijd

  • Corentin Guerendel

  • Femke C. R. Staal

  • Milou P. Busard

  • Mateus De Oliveira Taveira

  • Elisabeth G. Klompenhouwer

  • Koert F. D. Kuhlmann

  • Adriaan Moelker

  • Cornelis Verhoef

  • Martijn P. A. Starmans

  • Doenja M. J. Lambregts

  • Regina G. H. Beets-Tan

  • Sean Benson

  • Monique Maas

  • November 21, 2023

  • 0 min

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Objective:

To validate clinical-radiomics prediction models for local tumour progression (LTP) after thermal ablation of colorectal liver metastases (CRLM) using independent internal and external validation cohorts, highlighting the importance of generalizability.

Key Findings:
  • The combined clinical-radiomics model showed a concordance statistic of 0.78 (95% CI 0.65–0.87) in predicting LTP, indicating a moderate level of predictive accuracy.
  • Internal and external validation confirmed the applicability of the prediction models to different patient populations, suggesting robustness in diverse clinical settings.
Interpretation:

The study supports the use of radiomics in predicting LTP after thermal ablation of CRLM, potentially allowing for timely intervention in high-risk patients.

Limitations:
  • The internal validation cohort was limited in size due to a short inclusion period.
  • Exclusion criteria adjustments may affect the generalizability of results.
  • Potential biases in patient selection due to the retrospective nature of the study should be acknowledged.
Conclusion:

The validated clinical-radiomics models can aid in predicting LTP after thermal ablation, improving patient management strategies.

Original Source(s)

Independent validation of CT radiomics models in colorectal liver metastases: predicting local tumour progression after ablation

  • by Denise J. van der Reijd, Corentin Guerendel, Femke C. R. Staal, Milou P. Busard, Mateus De Oliveira Taveira, Elisabeth G. Klompenhouwer, Koert F. D. Kuhlmann, Adriaan Moelker, Cornelis Verhoef, Martijn P. A. Starmans, Doenja M. J. Lambregts, Regina G. H. Beets-Tan, Sean Benson, Monique Maas

  • November 21, 2023

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