Multi-Parametric Prostate MRI Underestimates Tumor Size
|
By MedImaging International staff writers Posted on 11 Feb 2021 |

Image: mpMRI imaging measures prostate tumor size as smaller than true (Photo courtesy of Alamy)
A new study suggests that multi-parametric MRI (mpMRI) routinely measures radiologic tumor size (RTS) as smaller than actual pathologic tumor size (PTS).
Researchers at the David Geffen School of Medicine (Los Angeles, CA, USA) conducted a study involving in 441 consecutive patients with 461 prostate cancer lesions who were scheduled for radical prostatectomy. The aim of the study was to evaluate agreement between RTS (defined as maximum tumor diameter on mpMRI), and whole mount histopathology PTS. The disparity in size was assessed, and clinical, pathological, and radiographic predictors of pathological tumor size were examined.
The results showed that mean RTS (1.57cm) regularly underestimated mean PTS (2.37 cm), regardless of preoperative covariates, and the degree of underestimation increased with smaller RTS and lower PI-RADSv2 scores. PTS was also significantly larger for biopsy Gleason GG5 compared to GG1; PI-RADSv2 5 lesions compared to PI-RADSv2 4 lesions; and higher prostate specific antigen (PSA) density. The study was published in the February 2021 issue of Journal of Urology.
“Our study suggests that by relying on RTS alone we can only be sure of complete ablation of the mpMRI detected lesion if a large margin is used in the largest diameter, especially for tumors less than two cm,” concluded lead author Aydin Pooli, MD, and colleagues. “Smaller margins, although acceptable, will have a lower degree of certainty for complete ablation of the prostate lesion. Incorporating tracked biopsy around the mpMRI detected prostate lesion could help overcome the tumor characterization limitations.”
Multiparametric MRI refers to the multiple sequences required to make the diagnosis, consisting of both anatomic T1-weighted and T2-weighted MRI sequences, and functional sequences, such as diffusion-weighted imaging MRI and dynamic contrast-enhanced MRI. By combining different types of scans, a clearer picture of the scanned area becomes available. Injecting a contrast agent also helps to enhance the image.
Related Links:
David Geffen School of Medicine
Researchers at the David Geffen School of Medicine (Los Angeles, CA, USA) conducted a study involving in 441 consecutive patients with 461 prostate cancer lesions who were scheduled for radical prostatectomy. The aim of the study was to evaluate agreement between RTS (defined as maximum tumor diameter on mpMRI), and whole mount histopathology PTS. The disparity in size was assessed, and clinical, pathological, and radiographic predictors of pathological tumor size were examined.
The results showed that mean RTS (1.57cm) regularly underestimated mean PTS (2.37 cm), regardless of preoperative covariates, and the degree of underestimation increased with smaller RTS and lower PI-RADSv2 scores. PTS was also significantly larger for biopsy Gleason GG5 compared to GG1; PI-RADSv2 5 lesions compared to PI-RADSv2 4 lesions; and higher prostate specific antigen (PSA) density. The study was published in the February 2021 issue of Journal of Urology.
“Our study suggests that by relying on RTS alone we can only be sure of complete ablation of the mpMRI detected lesion if a large margin is used in the largest diameter, especially for tumors less than two cm,” concluded lead author Aydin Pooli, MD, and colleagues. “Smaller margins, although acceptable, will have a lower degree of certainty for complete ablation of the prostate lesion. Incorporating tracked biopsy around the mpMRI detected prostate lesion could help overcome the tumor characterization limitations.”
Multiparametric MRI refers to the multiple sequences required to make the diagnosis, consisting of both anatomic T1-weighted and T2-weighted MRI sequences, and functional sequences, such as diffusion-weighted imaging MRI and dynamic contrast-enhanced MRI. By combining different types of scans, a clearer picture of the scanned area becomes available. Injecting a contrast agent also helps to enhance the image.
Related Links:
David Geffen School of Medicine
Latest MRI News
- MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
- Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
- AI-Assisted Model Enhances MRI Heart Scans
- AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
- New MRI Technique Reveals Hidden Heart Issues
- Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
- MRI to Replace Painful Spinal Tap for Faster MS Diagnosis
- MRI Scans Can Identify Cardiovascular Disease Ten Years in Advance
- Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read moreGeneral/Advanced Imaging
view channel
AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
Stable coronary artery disease is a common cause of chest pain, yet accurately identifying patients at the highest risk of future heart attacks or death remains difficult. Standard coronary CT scans show... Read more
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read morePatient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more







