ArticleJournal of magnetic resonance imaging : JMRI2019
Simplified Luminal Water Imaging for the Detection of Prostate Cancer From Multiecho T
Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Radiomic and Genomic Machine Learning Method Performance for Prostate Cancer Diagnosis: Systematic Literature Review.Journal of medical Internet research · 2021Pooled it
- Current state of the art of new prostate MRI technologies and potential future developments.BJR open · 2026Review
- Fast and High-Resolution luminal water imaging for prostate cancer diagnosis.Magnetic resonance in medicine · 2025Article
- Cross-Scanner Harmonization of AI/DL Accelerated Quantitative Bi-Parametric Prostate MRI.Sensors (Basel, Switzerland) · 2025Article
- Quantitative Prostate MRI, From theAJR. American journal of roentgenology · 2025Review
- Physics-Informed Autoencoder for Prostate Tissue Microstructure Profiling with Hybrid Multidimensional MRI.Radiology. Artificial intelligence · 2025Article
- Emerging and anticipated innovations in prostate cancer MRI and their impact on patient care.Abdominal radiology (New York) · 2024Review
- MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024Review
- Technical note: hydrogel-based mimics of prostate cancer with matched relaxation, diffusion and kurtosis for validating multi-parametric MRI.Medical physics · 2024Article
- Article
- Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI.Scientific reports · 2023Article
- Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI.Magma (New York, N.Y.) · 2022Review
- Observational
- The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.Magnetic resonance in medicine · 2022Article
- Emerging methods for prostate cancer imaging: evaluating cancer structure and metabolic alterations more clearly.Molecular oncology · 2021Review
- Article
- Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.Medical image analysis · 2021Article
- Update from the ReIMAGINE Prostate Cancer Screening Study NCT04063566: Inviting Men for Prostate Cancer Screening Using Magnetic Resonance Imaging.European urology focus · 2021Article
- New prostate MRI techniques and sequences.Abdominal radiology (New York) · 2020Review
- To see or not to see - what renders prostate cancer visible?Nature reviews. Urology · 2019Article
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8 authors.
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Abstract
backgroundLuminal water imaging (LWI) suffers less from imaging artifacts than the diffusion-weighted imaging used in multiparametric MRI of the prostate. LWI obtains multicompartment tissue information from a multiecho T PURPOSE: To compare a simplified LWI technique with apparent diffusion coefficient (ADC) in classifying lesions based on groupings of PI-RADS v2 scores. Secondary aims were to investigate whether LWI differentiates between histologically confirmed tumor and normal tissue as effectively as ADC, and whether LWI is correlated with the multicompartment parameters of the vascular, extracellular, and restricted diffusion for cytometry in tumors (VERDICT) diffusion model. STUDY TYPE: A subset of a larger prospective study. POPULATION: In all, 65 male patients aged 49-79 were scanned. FIELD STRENGTH/SEQUENCE: A 32-echo T ASSESSMENT: Regions of interest were placed by a board-certified radiologist in areas of lesion and benign tissue and given PI-RADS v2 scores. STATISTICAL TESTS: Receiver operating characteristic and logistic regression analyses were performed.
resultsLWI classifies tissue as PI-RADS 1,2 or PI-RADS 3,4,5 with an area under curve (AUC) value of 0.779, compared with 0.764 for ADC. LWI differentiated histologically confirmed malignant from nonmalignant tissue with AUC, sensitivity, and specificity values of 0.81, 75%, and 87%, compared with 0.75, 83%, and 67% for ADC. The microstructural basis of the LWI technique is further suggested by the correspondence with the VERDICT diffusion-based microstructural imaging technique, with α, A DATA
conclusionLWI alone can predict PI-RADS v2 score groupings and detect histologically confirmed tumors with an ability similar to ADC alone without the limitations of diffusion-weighted MRI. This is important, given that ADC has an advantage in these tests as it already informs PI-RADS v2 scoring. LWI also provides multicompartment information that has an explicit biophysical interpretation, unlike ADC. LEVEL OF EVIDENCE: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:910-917.
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