Literature DB >> 23143477

Local property characterization of prostate glands using inhomogeneous modeling based on tumor volume and location analysis.

Yeongjin Kim1, Bummo Ahn, Jae Won Lee, Koon Ho Rha, Jung Kim.   

Abstract

Mechanical property characterization of prostate tumors can enhance the results obtained by palpation by providing quantitative and precise diagnostic information to surgeons. The multi-focal characteristics of prostate tumors cause inhomogeneity and local property variance in the prostate glands, which is one reason for inaccurate property characterizations of the tumors. Therefore, biomechanical models should include inhomogeneity and local property variance by taking into consideration the anatomical information (location and volume) of the tumors. We developed six inhomogeneous local prostate models using the finite element method, which takes into account the location and volume information of prostate tumors. The models were divided into six different sections: lateral apex, lateral mid, lateral base, medial apex, medial mid and medial base tumors. Information on the location and volume of prostate tumors was obtained using pathological analysis. The mechanical properties of prostate tumors were estimated using the developed model simulation and the ex vivo indentation experiment results from the human resected prostates. The results showed that the mean elastic moduli of the normal and tumoral regions were 14.7 and 41.6 kPa, respectively. Our models provided more reliable estimates of the elastic moduli than the conventionally used Hertz-Sneddon model, and the results from our model were more closely correlated with previous studies due to the inclusion of the anatomical information via inhomogeneous modeling. These six local models provide baseline property criteria for the diagnosis and localization of prostate tumors using the optimized elastic moduli of normal prostate tissues.

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Year:  2012        PMID: 23143477     DOI: 10.1007/s11517-012-0984-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

1.  Elastic moduli of breast and prostate tissues under compression.

Authors:  T A Krouskop; T M Wheeler; F Kallel; B S Garra; T Hall
Journal:  Ultrason Imaging       Date:  1998-10       Impact factor: 1.578

2.  Mechanical property characterization of prostate cancer using a minimally motorized indenter in an ex vivo indentation experiment.

Authors:  Bum-Mo Ahn; Jung Kim; Lorenzo Ian; Kun-Ho Rha; Hyung-Joo Kim
Journal:  Urology       Date:  2010-05-10       Impact factor: 2.649

3.  In vivo characterization of mechanical tissue properties of internal organs using endoscopic microscopy and inverse finite element analysis.

Authors:  David Schwenninger; Stefan Schumann; Josef Guttmann
Journal:  J Biomech       Date:  2011-02-03       Impact factor: 2.712

4.  Mechanical characterization of anisotropic planar biological soft tissues using finite indentation: experimental feasibility.

Authors:  Martijn A J Cox; Niels J B Driessen; Ralf A Boerboom; Carlijn V C Bouten; Frank P T Baaijens
Journal:  J Biomech       Date:  2007-09-25       Impact factor: 2.712

5.  Optimization of ultrasound array designs for high intensity focused treatment of prostate cancer and benign prostatic hyperplasia.

Authors:  Khaldon Lweesy; Luay Fraiwan; Osama Al-Bataineh; Naser Hamdi; Hartmut Dickhaus
Journal:  Med Biol Eng Comput       Date:  2009-03-27       Impact factor: 2.602

6.  Target motion tracking in MRI-guided transrectal robotic prostate biopsy.

Authors:  Hadi Tadayyon; Andras Lasso; Aradhana Kaushal; Peter Guion; Gabor Fichtinger
Journal:  IEEE Trans Biomed Eng       Date:  2011-08-04       Impact factor: 4.538

7.  Age, prostate-specific antigen, and digital rectal examination as determinants of the probability of having prostate cancer.

Authors:  S R Potter; W Horniger; M Tinzl; G Bartsch; A W Partin
Journal:  Urology       Date:  2001-06       Impact factor: 2.649

Review 8.  Tissue elasticity properties as biomarkers for prostate cancer.

Authors:  Kenneth Hoyt; Benjamin Castaneda; Man Zhang; Priya Nigwekar; P Anthony di Sant'agnese; Jean V Joseph; John Strang; Deborah J Rubens; Kevin J Parker
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

9.  Cystic lesions of the prostate gland: an ultrasound classification with pathological correlation.

Authors:  Andrea Benedetto Galosi; Rodolfo Montironi; Andrea Fabiani; Vito Lacetera; Günter Gallé; Giovanni Muzzonigro
Journal:  J Urol       Date:  2008-12-16       Impact factor: 7.450

10.  Diagnostic criteria of limited adenocarcinoma of the prostate on needle biopsy.

Authors:  J I Epstein
Journal:  Hum Pathol       Date:  1995-02       Impact factor: 3.466

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  2 in total

1.  Effect of material property heterogeneity on biomechanical modeling of prostate under deformation.

Authors:  Navid Samavati; Deirdre M McGrath; Michael A S Jewett; Theo van der Kwast; Cynthia Ménard; Kristy K Brock
Journal:  Phys Med Biol       Date:  2014-12-09       Impact factor: 3.609

2.  Inverse finite-element modeling for tissue parameter identification using a rolling indentation probe.

Authors:  Hongbin Liu; Kiattisak Sangpradit; Min Li; Prokar Dasgupta; Kaspar Althoefer; Lakmal D Seneviratne
Journal:  Med Biol Eng Comput       Date:  2013-09-15       Impact factor: 2.602

  2 in total

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