Int J Comput Assist Radiol Surg - Automated palpation for breast tissue discrimination based on viscoelastic biomechanical properties.

Tópicos

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Resumo

RPOSE: Accurate, noninvasive methods are sought for breast tumor detection and diagnosis. In particular, a need for noninvasive techniques that measure both the nonlinear elastic and viscoelastic properties of breast tissue has been identified. For diagnostic purposes, it is important to select a nonlinear viscoelastic model with a small number of parameters that highly correlate with histological structure. However, the combination of conventional viscoelastic models with nonlinear elastic models requires a large number of parameters. A nonlinear viscoelastic model of breast tissue based on a simple equation with few parameters was developed and tested.METHODS: The nonlinear viscoelastic properties of soft tissues in porcine breast were measured experimentally using fresh ex vivo samples. Robotic palpation was used for measurements employed in a finite element model. These measurements were used to calculate nonlinear viscoelastic parameters for fat, fibroglandular breast parenchyma and muscle. The ability of these parameters to distinguish the tissue types was evaluated in a two-step statistical analysis that included Holm's pairwise [Formula: see text] test. The discrimination error rate of a set of parameters was evaluated by the Mahalanobis distance.RESULTS: Ex vivo testing in porcine breast revealed significant differences in the nonlinear viscoelastic parameters among combinations of three tissue types. The discrimination error rate was low among all tested combinations of three tissue types.CONCLUSION: Although tissue discrimination was not achieved using only a single nonlinear viscoelastic parameter, a set of four nonlinear viscoelastic parameters were able to reliably and accurately discriminate fat, breast fibroglandular tissue and muscle.

Resumo Limpo

rpose accur noninvas method sought breast tumor detect diagnosi particular need noninvas techniqu measur nonlinear elast viscoelast properti breast tissu identifi diagnost purpos import select nonlinear viscoelast model small number paramet high correl histolog structur howev combin convent viscoelast model nonlinear elast model requir larg number paramet nonlinear viscoelast model breast tissu base simpl equat paramet develop testedmethod nonlinear viscoelast properti soft tissu porcin breast measur experiment use fresh ex vivo sampl robot palpat use measur employ finit element model measur use calcul nonlinear viscoelast paramet fat fibroglandular breast parenchyma muscl abil paramet distinguish tissu type evalu twostep statist analysi includ holm pairwis formula see text test discrimin error rate set paramet evalu mahalanobi distanceresult ex vivo test porcin breast reveal signific differ nonlinear viscoelast paramet among combin three tissu type discrimin error rate low among test combin three tissu typesconclus although tissu discrimin achiev use singl nonlinear viscoelast paramet set four nonlinear viscoelast paramet abl reliabl accur discrimin fat breast fibroglandular tissu muscl

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