Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivo

2013 ◽  
Vol 72 (5) ◽  
pp. 1418-1426 ◽  
Author(s):  
Roger M. Bourne ◽  
Eleftheria Panagiotaki ◽  
Andre Bongers ◽  
Paul Sved ◽  
Geoffrey Watson ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Prostate Tissue ◽  
Information Theoretic

Measurements of T1-relaxation in ex vivo prostate tissue at 132 μT

2012 ◽  
Vol 67 (4) ◽  
pp. 1138-1145 ◽  
Author(s):  
Sarah Busch ◽  
Michael Hatridge ◽  
Michael Mößle ◽  
Whittier Myers ◽  
Travis Wong ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Prostate Tissue ◽  
T1 Relaxation

Material characterization of ex vivo prostate tissue via spherical indentation in the clinic

2011 ◽  
Vol 33 (3) ◽  
pp. 302-309 ◽  
Author(s):  
William C. Carson ◽  
Gregory J. Gerling ◽  
Tracey L. Krupski ◽  
Casey G. Kowalik ◽  
Jeffrey C. Harper ◽  
...  
Keyword(s):  
Material Characterization ◽  
Ex Vivo ◽  
Prostate Tissue ◽  
Spherical Indentation

scholarly journals Multispectral Photoacoustic Imaging of Prostate Cancer: Preliminary Ex-vivo Results

2013 ◽  
Vol 3 ◽  
pp. 41 ◽  
Author(s):  
Vikram S. Dogra ◽  
Bhargava K. Chinni ◽  
Keerthi S. Valluru ◽  
Jean V. Joseph ◽  
Ahmed Ghazi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Ex Vivo ◽  
Prostate Tissue ◽  
Human Prostate ◽  
Normal Prostate ◽  
Mean Intensity ◽  
Preliminary Results ◽  
Normal Prostate Tissue ◽  
Malignant Prostate

Objective: The objective of this study is to validate if ex-vivo multispectral photoacoustic (PA) imaging can differentiate between malignant prostate tissue, benign prostatic hyperplasia (BPH), and normal human prostate tissue. Materials and Methods: Institutional Review Board's approval was obtained for this study. A total of 30 patients undergoing prostatectomy for biopsy-confirmed prostate cancer were included in this study with informed consent. Multispectral PA imaging was performed on surgically excised prostate tissue and chromophore images that represent optical absorption of deoxyhemoglobin (dHb), oxyhemoglobin (HbO2), lipid, and water were reconstructed. After the imaging procedure is completed, malignant prostate, BPH and normal prostate regions were marked by the genitourinary pathologist on histopathology slides and digital images of marked histopathology slides were obtained. The histopathology images were co-registered with chromophore images. Region of interest (ROI) corresponding to malignant prostate, BPH and normal prostate were defined on the chromophore images. Pixel values within each ROI were then averaged to determine mean intensities of dHb, HbO2, lipid, and water. Results: Our preliminary results show that there is statistically significant difference in mean intensity of dHb (P < 0.0001) and lipid (P = 0.0251) between malignant prostate and normal prostate tissue. There was difference in mean intensity of dHb (P < 0.0001) between malignant prostate and BPH. Sensitivity, specificity, positive predictive value, and negative predictive value of our imaging system were found to be 81.3%, 96.2%, 92.9% and 89.3% respectively. Conclusion: Our preliminary results of ex-vivo human prostate study suggest that multispectral PA imaging can differentiate between malignant prostate, BPH and normal prostate tissue.

scholarly journals An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures

2020 ◽  
Author(s):  
Dimitris V. Manatakis ◽  
Aaron VanDevender ◽  
Elias S. Manolakos
Keyword(s):  
Ex Vivo ◽  
Practical Importance ◽  
Supplementary Information ◽  
Next Generation Sequencing Data ◽  
Theoretic Approach ◽  
Sequencing Data ◽  
Tissue Samples ◽  
Human Organ ◽  
Information Theoretic ◽  
Organ Models

AbstractMotivationRecapitulating aspects of human organ functions using in-vitro (e.g., plates, transwells, etc.), in-vivo (e.g., mouse, rat, etc.), or ex-vivo (e.g., organ chips, 3D systems, etc.) organ models are of paramount importance for precision medicine and drug discovery. It will allow us to identify potential side effects and test the effectiveness of therapeutic approaches early in their design phase and will inform the development of accurate disease models. Developing mathematical methods to reliably compare the “distance/similarity” of organ models from/to the real human organ they represent is an understudied problem with important applications in biomedicine and tissue engineering.ResultsWe introduce the Transctiptomic Signature Distance, TSD, an information-theoretic distance for assessing the transcriptomic similarity of two tissue samples, or two groups of tissue samples. In developing TSD, we are leveraging next-generation sequencing data and information retrieved from well-curated databases providing signature gene sets characteristic for human organs. We present the justification and mathematical development of the new distance and demonstrate its effectiveness in different scenarios of practical importance using several publicly available RNA-seq [email protected] informationSupplementary data are available at bioRxiv.

Tridimensional ex vivo culture of prostate tissue blocks: An ulstrastructural study

2003 ◽  
Vol 2 (6) ◽  
pp. 176
Author(s):  
M Mancini ◽  
E Caldwell ◽  
C Tagliapietra ◽  
L Ranzato ◽  
P Bernardi ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Prostate Tissue ◽  
Ex Vivo Culture

A dual stable isotope method by LC-MS/MS to define patterns of androgen metabolism in localized versus advanced prostate cancer.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 40-40
Author(s):  
Charles Dai ◽  
Yoon-Mi Chung ◽  
Eric A. Klein ◽  
Nima Sharifi
Keyword(s):  
Prostate Cancer ◽  
Stable Isotope ◽  
Cell Lines ◽  
Isotope Labeling ◽  
Ex Vivo ◽  
Prostate Tissue ◽  
Castration Resistant Prostate Cancer ◽  
Androgen Metabolism ◽  
Alternative Pathways ◽  
Liquid Chromatography Tandem Mass

40 Background: Prior work has shown that androstenedione (AD) rather than testosterone (T) is the preferred substrate of 5α-reductase for dihydrotestosterone (DHT) synthesis in castration-resistant prostate cancer. However, patterns of metabolism in hormone-naive prostate cancer are still poorly defined. Previously, we reported on the utility of dual radioisotope labeling of steroid precursors to characterize androgen metabolism in localized prostate tissue. We now describe an alternative approach via stable isotope labeling and analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS), which has unique advantages over the former method. Methods: LNCaP cell lines and prostate tissue from patients undergoing radical prostatectomy for localized cancer were incubated in serum-free media, spiked with 13C-labeled AD and 2H-labeled T. Media was collected at 7, 24, and 48 hours of incubation. Steroids were extracted, separated, and then analyzed by way of LC-MS/MS to identify labeled metabolites of AD and T. Results: Incubation of labeled AD and T resulted in conversion over time to both 13C-labeled and 2H-labeled downstream metabolites, 5α-dione and DHT. Although both precursors contributed to 5α-dione and DHT formation, the steroid of origin could be determined on the basis of differential labeling. In ex-vivo tissue incubations, unlabeled 5α-dione was also observed, which was distinguishable from its stable isotopic form and most likely represents endogenous steroid. Conclusions: Both cell lines and tissue appear to metabolize labeled AD and T, and formation of DHT occurs through both precursors. Furthermore, the presence of endogenous 5α-dione suggests that alternative pathways of DHT synthesis, which bypass T, may be naturally accessible in the hormone-naïve setting. We propose a robust ex-vivo technique to readily track simultaneous pathways of DHT synthesis in prostate cancer. Future work will focus on defining metabolic phenotypes of localized prostate cancer and specific patterns of flux under different hormonal and pharmacologic conditions.

Ex vivo culture of human prostate tissue and drug development

2013 ◽  
Vol 10 (8) ◽  
pp. 483-487 ◽  
Author(s):  
Margaret M. Centenera ◽  
Ganesh V. Raj ◽  
Karen E. Knudsen ◽  
Wayne D. Tilley ◽  
Lisa M. Butler
Keyword(s):  
Drug Development ◽  
Ex Vivo ◽  
Prostate Tissue ◽  
Human Prostate ◽  
Human Prostate Tissue ◽  
Ex Vivo Culture

scholarly journals Human ex vivo prostate tissue model system identifies ING3 as an oncoprotein

2018 ◽  
Vol 118 (5) ◽  
pp. 713-726 ◽  
Author(s):  
Urszula L McClurg ◽  
Arash Nabbi ◽  
Charles Ricordel ◽  
Svitlana Korolchuk ◽  
Stuart McCracken ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Model System ◽  
Prostate Tissue ◽  
Tissue Model
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