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Magnetic Resonance Imaging-based Radiomics Nomogram For The Evaluation Of Therapeutic Responses To Neoadjuvant Chemohormonal Therapy In High-risk Non-metastatic Prostate Cancer.

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Magnetic Resonance Imaging-based Radiomics Nomogram For The Evaluation Of Therapeutic Responses To Neoadjuvant Chemohormonal Therapy In High-risk Non-metastatic Prostate Cancer.

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Magnetic resonance imaging-based radiomics nomogram for the evaluation of therapeutic responses to neoadjuvant

Xiao-Hui Wu^1,2, Zhong-Tian Ruan^1,2, Zhi-Bin Ke^1,2

¹Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

Cancer Medicine

|July 20, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Keywords:

neoadjuvant chemohormonal therapy nomogram pathological responses prostate cancer radiomics

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A new radiomics-clinical nomogram accurately predicts treatment response in high-risk prostate cancer patients receiving neoadjuvant chemohormonal therapy (NCHT). This tool aids in assessing therapeutic efficacy for better patient outcomes.

Area of Science:

Radiology
Oncology
Medical Imaging

Background:

High-risk non-metastatic prostate cancer (PCa) requires effective neoadjuvant chemohormonal therapy (NCHT).
Predicting pathological response to NCHT is crucial for tailoring treatment strategies.

Purpose of the Study:

To develop and validate a radiomics-clinical nomogram for predicting pathological response to NCHT in high-risk PCa.
To assess the nomogram's predictive performance and clinical utility.

Main Methods:

Retrospective analysis of 162 high-risk non-metastatic PCa patients treated with NCHT and radical prostatectomy.
Development of radiomics signatures using the least absolute shrinkage and selection operator (LASSO) method.
Construction of a nomogram based on independent predictors including PSA level and radiomics signatures.

Main Results:

The nomogram achieved an AUC of 0.908, demonstrating high predictive accuracy.
Periprostatic fat (PPF) and intratumoral radiomics signatures showed significant predictive value (AUCs 0.835 and 0.822, respectively).
The nomogram was well-calibrated and demonstrated favorable clinical practicability upon validation.

Conclusions:

A radiomics-clinical nomogram integrating mpMRI radiomics features offers superior prediction of pathological response to NCHT in high-risk PCa.
This predictive tool can aid clinicians in managing patients with high-risk non-metastatic prostate cancer.