Literature DB >> 26418614

Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate.

Thiele Kobus1, Jeroen A W M van der Laak1, Marnix C Maas1, Thomas Hambrock1, Caroline C Bruggink1, Christina A Hulsbergen-van de Kaa1, Tom W J Scheenen1, Arend Heerschap1.   

Abstract

PURPOSE: To determine associations of metabolite levels derived from magnetic resonance (MR) spectroscopic imaging (ie, hydrogen 1 [(1)H] MR spectroscopic imaging) and apparent diffusion coefficients (ADCs) from diffusion-weighted imaging with prostate tissue composition assessed by digital image analysis of histologic sections.
MATERIALS AND METHODS: Institutional ethical review board approved this retrospective study and waived informed consent. Fifty-seven prostate cancer patients underwent an MR examination followed by prostatectomy. One hematoxylin and eosin-stained section of the resected prostate per patient was digitized and computationally segmented into nuclei, lumen, and combination of epithelial cytoplasm and stroma. On each stained section, regions of interest (ROIs) were chosen and matched to the corresponding ADC map and (1)H MR spectroscopic imaging voxels. ADC and two metabolite ratios (citrate [Cit], spermine [Spm], and creatine [Cr] to choline [Cho] and Cho to Cr plus Spm) were correlated with percentage areas of nuclei, lumen, and cytoplasm and stroma for peripheral zone (PZ), transition zone (TZ), and tumor tissue in both zones of the prostate by using a linear mixed-effect model and Spearman correlation coefficient (ρ).
RESULTS: ADC and (Cit + Spm + Cr)/Cho ratio showed positive correlation with percentage area of lumen (ρ = 0.43 and 0.50, respectively) and negative correlation with percentage area of nuclei (ρ = -0.29 and -0.26, respectively). The Cho/(Cr + Spm) ratio showed negative association with percentage area of lumen (ρ = -0.40) and positive association with area of nuclei (ρ = 0.26). Percentage areas of lumen and nuclei, (Cit + Spm + Cr)/Cho ratio, and ADC were significantly different (P < .001) between benign PZ (23.7 and 7.7, 8.83, and 1.58 × 10(-3) mm(2)/sec, respectively) and tumor PZ tissue (11.4 and 12.5, 5.13, and 1.20 × 10(-3) mm(2)/sec, respectively). These parameters were also significantly different between benign TZ (20.0 and 8.2, 6.50, and 1.26 × 10(-3) mm(2)/sec, respectively) and tumor TZ tissue (9.8 and 11.2, 4.36, and 1.03 × 10(-3) mm(2)/sec, respectively).
CONCLUSION: The observed correlation of (Cit + Spm + Cr)/Cho ratio and ADC of the prostate with its tissue composition indicates that components of this composition, such as percentage luminal area, contribute to the value of these MR parameters.

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Year:  2015        PMID: 26418614     DOI: 10.1148/radiol.2015142889

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


  11 in total

1.  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

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

Authors:  Aritrick Chatterjee; Roger M Bourne; Shiyang Wang; Ajit Devaraj; Alexander J Gallan; Tatjana Antic; Gregory S Karczmar; Aytekin Oto
Journal:  Radiology       Date:  2018-02-02       Impact factor: 11.105

Review 3.  Functional and Targeted Lymph Node Imaging in Prostate Cancer: Current Status and Future Challenges.

Authors:  Harriet C Thoeny; Sebastiano Barbieri; Johannes M Froehlich; Baris Turkbey; Peter L Choyke
Journal:  Radiology       Date:  2017-12       Impact factor: 11.105

4.  Simultaneous 18F-fluciclovine Positron Emission Tomography and Magnetic Resonance Spectroscopic Imaging of Prostate Cancer.

Authors:  Morteza Esmaeili; Nassim Tayari; Tom Scheenen; Mattijs Elschot; Elise Sandsmark; Helena Bertilsson; Arend Heerschap; Kirsten M Selnæs; Tone F Bathen
Journal:  Front Oncol       Date:  2018-11-15       Impact factor: 6.244

5.  Assessment of the inter-platform reproducibility of ultrasound attenuation examination in nonalcoholic fatty liver disease.

Authors:  Sun Kyung Jeon; Jeong Min Lee; Ijin Joo; Jeong Hee Yoon
Journal:  Ultrasonography       Date:  2021-10-31

6.  Carbon sources and pathways for citrate secreted by human prostate cancer cells determined by NMR tracing and metabolic modeling.

Authors:  Frits H A van Heijster; Vincent Breukels; Kees C F J Jansen; Jack A Schalken; Arend Heerschap
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-30       Impact factor: 12.779

7.  Evaluating Prostate Cancer Using Fractional Tissue Composition of Radical Prostatectomy Specimens and Pre-Operative Diffusional Kurtosis Magnetic Resonance Imaging.

Authors:  Edward M Lawrence; Anne Y Warren; Andrew N Priest; Tristan Barrett; Debra A Goldman; Andrew B Gill; Vincent J Gnanapragasam; Evis Sala; Ferdia A Gallagher
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

8.  Tissue Microstructure Is Linked to MRI Parameters and Metabolite Levels in Prostate Cancer.

Authors:  Kirsten Margrete Selnæs; Riyas Vettukattil; Helena Bertilsson; Alan J Wright; Arend Heerschap; Anders Angelsen; May-Britt Tessem; Tone Frost Bathen
Journal:  Front Oncol       Date:  2016-06-14       Impact factor: 6.244

9.  Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings.

Authors:  Gregory Penzias; Asha Singanamalli; Robin Elliott; Jay Gollamudi; Natalie Shih; Michael Feldman; Phillip D Stricker; Warick Delprado; Sarita Tiwari; Maret Böhm; Anne-Maree Haynes; Lee Ponsky; Pingfu Fu; Pallavi Tiwari; Satish Viswanath; Anant Madabhushi
Journal:  PLoS One       Date:  2018-08-31       Impact factor: 3.240

10.  Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard.

Authors:  Sun Kyung Jeon; Ijin Joo; So Yeon Kim; Jong Keon Jang; Juil Park; Hee Sun Park; Eun Sun Lee; Jeong Min Lee
Journal:  Ultrasonography       Date:  2020-05-09
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