ReviewBiomedical engineering and computational biology2016
A Review of Imaging Methods for Prostate Cancer Detection.
Review in Biomedical engineering and computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
What it found
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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
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Role of Artificial Intelligence in the Characterization and Outcome Prediction of Prostate Cancer: A Systematic Review.Tomography (Ann Arbor, Mich.) · 2026Pooled it
- AI-accelerated prostate MRI: a systematic review.The British journal of radiology · 2024Pooled it
- Present status of prostate cancer diagnosis, limitations, challenges, and future endeavors.Annals of medicine · 2026Review
- Deep Learning Classification of Prostate Cancer Using MRI Histopathologic Data.Radiology. Imaging cancer · 2025Article
- An MRI Histopathology-based Deep Learning Approach for the Classification of Prostate Cancer.Radiology. Imaging cancer · 2025Article
- Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach.JMIR bioinformatics and biotechnology · 2025Article
- PSMA PET Imaging in the Management of Patients with Metastatic Castration-Resistant Prostate Cancer Treated with Radioligand Therapy.Targeted oncology · 2025Review
- Article
- Integrating artificial intelligence with smartphone-based imaging for cancer detection in vivo.Biosensors & bioelectronics · 2025Review
- The Diagnostic Value of bpMRI in Prostate Cancer: Benefits and Limitations Compared to mpMRI.Bioengineering (Basel, Switzerland) · 2024Article
- Elastography of the Male Pelvic Region-Perspectives on Malignant Lesions.Diagnostics (Basel, Switzerland) · 2024Review
- Two Novel [ACS omega · 2024Article
- Lutetium-177-Labeled Prostate-Specific Membrane Antigen-617 for Molecular Imaging and Targeted Radioligand Therapy of Prostate Cancer.Advanced pharmaceutical bulletin · 2023Review
- Review
- The utility of two-dimensional shear wave elastography for predicting prostate cancer: a preliminary study.Ultrasonography (Seoul, Korea) · 2023Article
- A scoring diagnostic system based on biparametric ultrasound features for prostate cancer risk assessment.Quantitative imaging in medicine and surgery · 2023Article
- Nanoparticle-Based Radioconjugates for Targeted Imaging and Therapy of Prostate Cancer.Molecules (Basel, Switzerland) · 2023Review
- Could Biparametric MRI Replace Multiparametric MRI in the Management of Prostate Cancer?Life (Basel, Switzerland) · 2023Review
- Kinematic and mechanical modelling of a novel 4-DOF robotic needle guide for MRI-guided prostate intervention.Biomedical engineering advances · 2022Article
- Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study.Medical image analysis · 2022Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities-multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI-US fusion imaging, and positron emission tomography (PET) imaging-used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis-a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared.
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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.