ArticlePloS one2016
Evaluating Prostate Cancer Using Fractional Tissue Composition of Radical Prostatectomy Specimens and Pre-Operative Diffusional Kurtosis Magnetic Resonance Imaging.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- RNAlater-compatible protocol for nuclei isolation from radical prostatectomy prostate cancer resections, enabling single-nucleus resolution RNA-seq.Scientific reports · 2026Article
- Possible Role of Diffusion-Weighted Imaging in Prediction of Prostate Cancer Grade Group Upgrading: Insights from Biopsy to Radical Prostatectomy.Medicina (Kaunas, Lithuania) · 2026Article
- MRI-based Habitat Imaging for Noninvasive Prediction of High-Grade Prostate Cancer.Radiology. Imaging cancer · 2025Article
- Metabolic imaging across scales reveals distinct prostate cancer phenotypes.Nature communications · 2024Article
- Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer.Gland surgery · 2023Review
- MRI techniques for immunotherapy monitoring.Journal for immunotherapy of cancer · 2022Review
- Correlation between diffusion kurtosis and intravoxel incoherent motion derived (IVIM) parameters and tumor tissue composition in rectal cancer: a pilot study.Abdominal radiology (New York) · 2022Article
- MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance.Scientific reports · 2021Article
- Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain.Scientific reports · 2021Article
- Comparison of Diffusion Kurtosis Imaging and Amide Proton Transfer Imaging in the Diagnosis and Risk Assessment of Prostate Cancer.Frontiers in oncology · 2021Article
- Diffusion kurtosis MRI as a predictive biomarker of response to neoadjuvant chemotherapy in high grade serous ovarian cancer.Scientific reports · 2019Article
- Diagnostic evaluation of magnetization transfer and diffusion kurtosis imaging for prostate cancer detection in a re-biopsy population.European radiology · 2018Article
- Feature-Based Representation Improves Color Decomposition and Nuclear Detection Using a Convolutional Neural Network.IEEE transactions on bio-medical engineering · 2018Article
- The longitudinal effect of ejaculation on seminal vesicle fluid volume and whole-prostate ADC as measured on prostate MRI.European radiology · 2017Article
- Detection of Nuclei in H&E Stained Sections Using Convolutional Neural Networks.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2017Article
- Application of non-Gaussian water diffusional kurtosis imaging in the assessment of uterine tumors: A preliminary study.PloS one · 2017Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundEvaluating tissue heterogeneity using non-invasive imaging could potentially improve prostate cancer assessment and treatment.
methods20 patients with intermediate/high-risk prostate cancer underwent diffusion kurtosis imaging, including calculation of apparent diffusion (Dapp) and kurtosis (Kapp), prior to radical prostatectomy. Whole-mount tissue composition was quantified into: cellularity, luminal space, and fibromuscular stroma. Peripheral zone tumors were subdivided according to Gleason score.
resultsPeripheral zone tumors had increased cellularity (p<0.0001), decreased fibromuscular stroma (p<0.05) and decreased luminal space (p<0.0001). Gleason score ≥4+3 tumors had significantly increased cellularity and decreased fibromuscular stroma compared to Gleason score ≤3+4 (p<0.05). In tumors, there was a significant positive correlation between median Kapp and cellularity (ρ = 0.50; p<0.05), and a negative correlation with fibromuscular stroma (ρ = -0.45; p<0.05). In normal tissue, median Dapp had a significant positive correlation with luminal space (ρ = 0.65; p<0.05) and a negative correlation with cellularity (ρ = -0.49; p<0.05). Median Kapp and Dapp varied significantly between tumor and normal tissue (p<0.0001), but only median Kapp was significantly different between Gleason score ≥4+3 and ≤3+4 (p<0.05).
conclusionsPeripheral zone tumors have increased cellular heterogeneity which is reflected in mean Kapp, while normal prostate has a more homogeneous luminal space and cellularity better represented by Dapp.
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