Researchers determine whether artificial intelligence-based MRI data could predict prostate cancer patient outcomes.
By Dr. Chinta SidharthanReviewed by Benedette Cuffari, M.Sc.Nov 6 2024 AI-driven MRI analysis offers new insights into prostate cancer prognosis, accurately predicting metastasis risk and treatment outcomes for improved patient care.
Advances in MRI transform prostate cancer detection and diagnosis Multiparametric MRI combines multiple MRI techniques to create detailed images of internal anatomy. This imaging technology has transformed the management of prostate cancer by improving the detection of serious cases while minimizing the detection rate of insignificant diseases. MRI-guided biopsies also significantly improve the accuracy of cancer diagnoses.
About the study The current study aimed to determine whether calculations of tumor volumes using AI-based approaches can provide independent prognostic insights for prostate cancer patients who have previously undergone surgery or radiation therapy. These results were then compared to those obtained from standard MRI evaluations.
Reference segmentations were manually created by a genitourinary radiation oncologist, who delineated prostate regions such as translational and peripheral zones and lesions with PI-RADS scores of three to five. Study findings The total volume of intraprostatic tumor calculated from segments generated by the AI model nnU-Net was an independent and strong predictor of outcomes for patients with localized prostate cancer who underwent either radiation therapy or radical prostatectomy. In fact, the volumes predicted by AI were significantly associated with metastasis and biochemical failure.
Prostate Prostate Cancer Anatomy Artificial Intelligence Deep Learning Imaging Magnetic Resonance Imaging Metastasis Prostatectomy Radiation Therapy Radical Prostatectomy Radiology Surgery Technology Tumor
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