Literature DB >> 29393821

Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study.

Aritrick Chatterjee1, Roger M Bourne1, Shiyang Wang1, Ajit Devaraj1, Alexander J Gallan1, Tatjana Antic1, Gregory S Karczmar1, Aytekin Oto1.   

Abstract

Purpose To evaluate whether compartmental analysis by using hybrid multidimensional magnetic resonance (MR) imaging can be used to diagnose prostate cancer and determine its aggressiveness. Materials and Methods Twenty-two patients with prostate cancer underwent preoperative 3.0-T MR imaging. Axial images were obtained with hybrid multidimensional MR imaging by using all combinations of echo times (47, 75, 100 msec) and b values of 0, 750, 1500 sec/mm2, resulting in a 3 × 3 array of data associated with each voxel. Volumes of the tissue components stroma, epithelium, and lumen were calculated by fitting the hybrid data to a three-compartment signal model, with distinct, paired apparent diffusion coefficient (ADC) and T2 values associated with each compartment. Volume fractions and conventional ADC and T2 were measured for regions of interest in sites of prostatectomy-verified malignancy (n = 28) and normal tissue (n = 71). Receiver operating characteristic (ROC) analysis was used to evaluate the performance of various parameters in differentiating prostate cancer from benign tissue. Results Compared with normal tissue, prostate cancer showed significantly increased fractional volumes of epithelium (23.2% ± 7.1 vs 48.8% ± 9.2, respectively) and reduced fractional volumes of lumen (26.4% ± 14.1 vs 14.0% ± 5.2) and stroma (50.5% ± 15.7 vs 37.2% ± 9.1) by using hybrid multidimensional MR imaging. The fractional volumes of tissue components show a significantly higher Spearman correlation coefficient with Gleason score (epithelium: ρ = 0.652, P = .0001; stroma: ρ = -0.439, P = .020; lumen: ρ = -0.390, P = .040) compared with traditional T2 values (ρ = -0.292, P = .132) and ADCs (ρ = -0.315, P = .102). The area under the ROC curve for differentiation of cancer from normal prostate was highest for fractional volume of epithelium (0.991), followed by fractional volumes of lumen (0.800) and stroma (0.789). Conclusion Fractional volumes of prostatic lumen, stroma, and epithelium change significantly when cancer is present. These parameters can be measured noninvasively by using hybrid multidimensional MR imaging and have the potential to improve the diagnosis of prostate cancer and determine its aggressiveness. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29393821      PMCID: PMC5978456          DOI: 10.1148/radiol.2018171130

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  27 in total

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2.  Pilot Study of the Use of Hybrid Multidimensional T2-Weighted Imaging-DWI for the Diagnosis of Prostate Cancer and Evaluation of Gleason Score.

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6.  Multi-parametric MR imaging of the anterior fibromuscular stroma and its differentiation from prostate cancer.

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8.  Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2--sparse versus dense cancers.

Authors:  Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; Laibao Sun; Martin J Yaffe; John Trachtenberg; Masoom A Haider
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

Review 9.  The role of MRI in prostate cancer active surveillance.

Authors:  Linda M Johnson; Peter L Choyke; William D Figg; Baris Turkbey
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10.  Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer.

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1.  Diffusion-weighted Imaging of Prostate Cancer: Revisiting Occam's Razor.

Authors:  Eric E Sigmund; Andrew B Rosenkrantz
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Review 2.  Diffusion MRI of cancer: From low to high b-values.

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Review 3.  Artificial intelligence at the intersection of pathology and radiology in prostate cancer.

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4.  The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.

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5.  Validation of Prostate Tissue Composition by Using Hybrid Multidimensional MRI: Correlation with Histologic Findings.

Authors:  Aritrick Chatterjee; Crystal Mercado; Roger M Bourne; Ambereen Yousuf; Brittany Hess; Tatjana Antic; Scott Eggener; Aytekin Oto; Gregory S Karczmar
Journal:  Radiology       Date:  2021-11-09       Impact factor: 11.105

6.  Targeted Biopsy Validation of Peripheral Zone Prostate Cancer Characterization With Magnetic Resonance Fingerprinting and Diffusion Mapping.

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7.  Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models.

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8.  Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model.

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9.  A Pilot Study of Multidimensional Diffusion MRI for Assessment of Tissue Heterogeneity in Prostate Cancer.

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10.  T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

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