ReviewProstate cancer2019
How Accurately Can Prostate Gland Imaging Measure the Prostate Gland Volume? Results of a Systematic Review.
Review in Prostate cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 50 citations in OpenAlex.
- The influence of age and the presence of prostate cancer on prostate volume, PSA and PSA density.BJU international · 2026Article
- Development and Deployment of a Machine Learning Model to Triage the Use of Prostate MRI (ProMT-ML) in Patients With Suspected Prostate Cancer.Journal of magnetic resonance imaging : JMRI · 2026Article
- Challenges in Using Deep Neural Networks Across Multiple Readers in Delineating Prostate Gland Anatomy.Journal of imaging informatics in medicine · 2026Article
- Automating prostate volume acquisition using abdominal ultrasound scans for prostate-specific antigen density calculations.Scientific reports · 2025Article
- Goldstandard TUR-P: the bigger the volume, the higher the speed, but resected volumes of more than 60g are critical.International urology and nephrology · 2025Article
- MRI-Derived Transition Zone Index Is Highly Predictive of Urodynamic Bladder Outlet Obstruction Prior to Holmium Laser Enucleation of the Prostate.Neurourology and urodynamics · 2025Article
- Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025Article
- Surface-Based Ultrasound Scans for the Screening of Prostate Cancer.IEEE open journal of engineering in medicine and biology · 2025Article
- Transrectal versus transperineal prostate biopsy for cancer detection in patients with gray-zone prostate-specific antigen: a multicenter, real-world study.Asian journal of andrology · 2024Article
- Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese.Human genomics · 2024Article
- The Role of Digital Rectal Examination Prostate Volume Category in the Early Detection of Prostate Cancer: Its Correlation with the Magnetic Resonance Imaging Prostate Volume.The world journal of men's health · 2024Article
- Can handheld ultrasound probes reliably measure transabdominal prostate and bladder volumes? A prospective randomized point-of-care ultrasound study.Frontiers in urology · 2024Article
- Exploration of the diagnostic capacity of PSAMR combined with PI-RADS scoring for clinically significant prostate cancer and establishment and validation of the Nomogram prediction model.Journal of cancer research and clinical oncology · 2023Article
- Comparison of prostate volume measured by transabdominal ultrasound and MRI with the radical prostatectomy specimen volume: a retrospective observational study.BMC urology · 2023Observational
- Article
- Prostate gland volume estimation: anteroposterior diameters measured on axial versus sagittal ultrasonography and magnetic resonance images.Ultrasonography (Seoul, Korea) · 2023Article
- Article
- Transrectal Ultrasound in Prostate Cancer: Current Utilization, Integration with mpMRI, HIFU and Other Emerging Applications.Cancer management and research · 2022Review
- Article
- Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis.Prostate cancer · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe measurement of the volume of the prostate gland can have an influence on many clinical decisions. Various imaging methods have been used to measure it. Our aim was to conduct the first systematic review of their accuracy.
methodsThe literature describing the accuracy of imaging methods for measuring the prostate gland volume was systematically reviewed. Articles were included if they compared volume measurements obtained by medical imaging with a reference volume measurement obtained after removal of the gland by radical prostatectomy. Correlation and concordance statistics were summarised.
results28 articles describing 7768 patients were identified. The imaging methods were ultrasound, computed tomography, and magnetic resonance imaging (US, CT, and MRI). Wide variations were noted but most articles about US and CT provided correlation coefficients that lay between 0.70 and 0.90, while those describing MRI seemed slightly more accurate at 0.80-0.96. When concordance was reported, it was similar; over- and underestimation of the prostate were variably reported. Most studies showed evidence of at least moderate bias and the quality of the studies was highly variable. DISCUSSION: The reported correlations were moderate to high in strength indicating that imaging is sufficiently accurate when quantitative measurements of prostate gland volume are required. MRI was slightly more accurate than the other methods.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.