ArticleJournal of magnetic resonance imaging : JMRI2021
Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.
Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Focal radiotherapy boost to MR-visible tumor for prostate cancer: a systematic review.World journal of urology · 2024Pooled it
- Development and evaluation of a cervical cancer-specific restriction spectrum imaging (RSI) model.Magnetic resonance imaging · 2026Article
- Trial protocol: RadTARGET, a multicenter phase II randomized controlled trial evaluating focal radiotherapy boost with de-intensification of dose to non-suspicious prostate in patients with intermediate- or high-risk prostate cancer.Clinical and translational radiation oncology · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- Strong-Gradient Diffusion-Weighted Imaging of Prostate Cancer Using an Inside-Out Nonlinear Gradient Coil.Magnetic resonance in medicine · 2026Article
- Systematic effects of patient factors and scanner/protocol factors on a Restriction Spectrum Imaging (RSI) quantitative MRI biomarker for prostate cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Post hoc estimation of a quantitative restriction spectrum imaging biomarker for prostate cancer detection using conventional MRI.Journal of applied clinical medical physics · 2026Article
- Deep Learning Artificial Intelligence and Restriction Spectrum Imaging for Patient-level Detection of Clinically Significant Prostate Cancer on Biparametric Magnetic Resonance Imaging.European urology open science · 2026Article
- Current state of the art of new prostate MRI technologies and potential future developments.BJR open · 2026Review
- Improved differentiation of prostate cancer using advanced diffusion models: a comparative study of mono-exponential, fractional-order-calculus, and multi-compartment models.Abdominal radiology (New York) · 2025Article
- Restriction Spectrum Imaging as a Quantitative Biomarker for Prostate Cancer With Reliable Positive Predictive Value.The Journal of urology · 2025Article
- Advanced diffusion-weighted imaging biomarkers for non-invasive assessment of tumor microenvironment in rectal cancer: restricted spectrum imaging.Abdominal radiology (New York) · 2025Article
- MultiparametricLa Radiologia medica · 2025Article
- Prediction of non-small cell lung cancer subtypes is possible through restricted spectrum imaging.Frontiers in oncology · 2025Article
- Advanced Restriction Imaging and Reconstruction Technology for Prostate Magnetic Resonance Imaging (ART-Pro): A Study Protocol for a Multicenter, Multinational Trial Evaluating Biparametric Magnetic Resonance Imaging and Advanced, Quantitative Diffusion Magnetic Resonance Imaging for the Detection of Prostate Cancer.European urology open science · 2025Article
- Utility of quantitative measurement of TScientific reports · 2024Article
- Quantitative MRI biomarker for classification of clinically significant prostate cancer: Calibration for reproducibility across echo times.Journal of applied clinical medical physics · 2024Article
- Emerging and anticipated innovations in prostate cancer MRI and their impact on patient care.Abdominal radiology (New York) · 2024Review
- Comparison of synthesized and acquired high b-value diffusion-weighted MRI for detection of prostate cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Quantitative characterization of breast lesions and normal fibroglandular tissue using compartmentalized diffusion-weighted model: comparison of intravoxel incoherent motion and restriction spectrum imaging.Breast cancer research : BCR · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundMulticompartmental modeling outperforms conventional diffusion-weighted imaging (DWI) in the assessment of prostate cancer. Optimized multicompartmental models could further improve the detection and characterization of prostate cancer. PURPOSE: To optimize multicompartmental signal models and apply them to study diffusion in normal and cancerous prostate tissue in vivo. STUDY TYPE: Retrospective. SUBJECTS: Forty-six patients who underwent MRI examination for suspected prostate cancer; 23 had prostate cancer and 23 had no detectable cancer. FIELD STRENGTH/SEQUENCE: 3T multishell diffusion-weighted sequence. ASSESSMENT: Multicompartmental models with 2-5 tissue compartments were fit to DWI data from the prostate to determine optimal compartmental apparent diffusion coefficients (ADCs). These ADCs were used to compute signal contributions from the different compartments. The Bayesian Information Criterion (BIC) and model-fitting residuals were calculated to quantify model complexity and goodness-of-fit. Tumor contrast-to-noise ratio (CNR) and tumor-to-background signal intensity ratio (SIR) were computed for conventional DWI and multicompartmental signal-contribution maps. STATISTICAL TESTS: Analysis of variance (ANOVA) and two-sample t-tests (α = 0.05) were used to compare fitting residuals between prostate regions and between multicompartmental models. T-tests (α = 0.05) were also used to assess differences in compartmental signal-fraction between tissue types and CNR/SIR between conventional DWI and multicompartmental models.
resultsThe lowest BIC was observed from the 4-compartment model, with optimal ADCs of 5.2e-4, 1.9e-3, 3.0e-3, and >3.0e-2 mm DATA
conclusionThe 4-compartment signal model best described diffusion in the prostate. Compartmental signal contributions revealed by this model may improve assessment of prostate cancer. Level of Evidence 3 Technical Efficacy Stage 3 J. MAGN. RESON. IMAGING 2021;53:628-639.
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