We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Preoperative Prostate MRI Findings Predict Prostate Cancer Recurrence at Rates Similar to Pathology

By MedImaging International staff writers
Posted on 19 Jul 2023
Print article
Image: MRI could have a greater role in risk assessments of prostate cancer in the future (Photo courtesy of Freepik)
Image: MRI could have a greater role in risk assessments of prostate cancer in the future (Photo courtesy of Freepik)

Most clinical models currently used to predict biochemical recurrence (BCR) after radical prostatectomy (RP) rely on staging information from RP specimens, leaving a gap in pre-operative risk evaluation. Now, a new study has found that preoperative prostate MRI exams could offer additional value in predicting BCR of prostate cancer, often showing similar performance to post-surgical pathologic staging.

In the study, researchers at the National Cancer Institute (NCI, Bethesda, MD, USA) investigated the comparative utility of pre-surgical MRI staging information and post-surgical RP pathology staging information in predicting cancer recurrence. The study encompassed 604 prostate cancer patients who underwent both preoperative MRI and postoperative pathology. A genitourinary radiologist retrospectively analyzed the cases of patients who had undergone prostate MRI prior to RP between June 2007 and December 2018. The analysis specifically focused on extraprostatic extension (EPE) and seminal vesicle invasion (SVI) findings from the exams, which were then compared with outcomes to comprehend their potential relation to BCR.

The study found that BCR-free survival rates were similar using each staging method, suggesting a potential improvement in preoperative assessments for prostate cancer patients. When compared with the patients' postoperative pathology results, the detection and/or lack of both EPE and SVI on imaging offered comparable value in predicting cancer recurrence, with just a few percentage points difference in multiple metrics. Currently, BCR prediction predominantly depends on postoperative RP specimen results. However, given the similar accuracy between pathology results and preoperative imaging, MRI could play a more significant role in future risk assessments, according to the researchers.

“MRI staging can preoperatively identify patients at high BCR risk, helping to inform early clinical decision making,” said corresponding author Baris Turkbey, MD, with the Molecular Imaging Branch of the National Cancer Institute.

Related Links:

Gold Supplier
Conductive Gel
Gold Supplier
IMRT Thorax Phantom
CIRS Model 002LFC
Liquid Marker for Preoperative Breast Localization
X-Ray Generator
RF Series

Print article
Sun Nuclear -    Mirion



view channel
Image: The AI model improves tumor removal accuracy during breast cancer surgery (Photo courtesy of UNC School of Medicine)

AI Model Analyzes Tumors Removed Surgically in Real-Time

During breast cancer surgery, the surgeon removes the tumor, also known as a specimen, along with a bit of the adjacent healthy tissue to ensure all cancerous cells are excised. This specimen is then X-rayed... Read more


view channel
Image: FloPatch is a revolutionary tool that facilitates real-time precision in IV fluid management in sepsis (Photo courtesy of Flosonics)

Wireless, Wearable Doppler Ultrasound Revolutionizes Precision Fluid Management in Sepsis Care

When a patient comes to the hospital with sepsis, administering intravenous (IV) fluids is usually the first course of action. However, too much IV fluid can do more harm than good, causing additional... Read more

Nuclear Medicine

view channel
Image: An AI model can evaluate brain tumors on PET (Photo courtesy of Freepik)

AI Model for PET Imaging Determines Patient Response to Brain Tumor Treatments

The assessment of changes in metabolic tumor volume (MTV) through PET scans using specific radiotracers like F-18 fluoroethyl tyrosine (FET) plays a vital role in evaluating the treatment response in patients... Read more

General/Advanced Imaging

view channel
Image: Annalise Enterprise CTB acts like a ‘second pair of eyes’ for radiologists (Photo courtesy of Annalise.ai)

Deep Learning System Boosts Radiologist Accuracy and Speed for Head CTs

Non-contrast computed tomography of the brain (NCCTB) is a commonly employed method for identifying intracranial pathology. Despite its frequent use, the complex scan outcomes are prone to being misunderstood.... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.