Robotic palpation-based mechanical property mapping for diagnosis of XXXX .

@entity5 @entity263
PURPOSE: The aim of this study was to estimate the mechanical properties (elasticity) of normal and @entity5 prostate tissues and to develop a tissue elasticity map for the diagnosis and localization of @entity263 . MATERIALS AND METHODS: A total of 735 sites from 35 radical prostatectomy specimens were used in the experiments using a robotic palpation system, and the elasticities of the specimens were estimated by a tissue characterization algorithm. The estimated elasticities from 21 regions were separated into normal and @entity5 tissues using the pathological information, and a tissue elasticity map was developed using numerical functions and a nonlinear surface-fitting method. RESULTS: The mean elastic moduli of the normal and @entity5 tissues were 15.25        5.88 and 28.80        11.20   kPa, respectively. The base region had the highest elasticity, followed by the medial and apex regions. These results demonstrated the ability to separate the @entity5 tissue from the normal tissue based on its elastic modulus. The tissue elasticity mapping was carried out using the estimated elasticity and nonlinear surface fitting. The proposed map showed the elasticity and was used to estimate the elastic modulus of the prostate at any given region. CONCLUSION: Tissue elasticity may be an important indicator of @entity263 because the pathologic changes alter the tissue properties, including cell integrity and intercellular matrix. This work provides quantitative and objective information for the diagnosis of @entity263 . In addition, these results may have implications for the localization of @entity263 .
