In vitro chronic hepatic disease characterization with a multiparametric ultrasonic approach.
Although, high resolution, real-time ultrasonic (US) imaging is routinely available, image interpretation is based on grey-level and texture and quantitative evaluation is limited. Other potentially useful diagnostic information from US echoes may include modifications in tissue acoustic parameters (speed, attenuation and backscattering) resulting from disease development. Changes in acoustical parameters can be detected using time-of-flight and spectral analysis techniques. The objective of this study is to explore the potential of three parameters together (attenuation coefficient, US speed and integrated backscatter coefficient-IBC) to discriminate healthy and fibrosis subgroups in liver tissue. Echoes from 21 fresh in vitro samples of human liver and from a plane reflector were obtained using a 20-MHz central frequency transducer (6-30 MHz bandpass). The scan plane was parallel to the reflector placed beneath the liver. A 30 x 20 matrix of A-scans was obtained, with a 200-microm step. The samples were classified according to the Metavir scale in five different degrees of fibrosis. US speed, attenuation and IBC were estimated from standard methods described in the literature. Statistical tests were applied to the results of each parameter individually and indicated that it was not possible to identify all the fibrosis groups. Then a discriminant analysis was performed for the three parameters together resulting in a reasonable separation of fibrotic groups. Although the number of tissue samples is limited, this study opens the possibility of enhancing the discriminant capability of ultrasonic parameters of liver tissue disease when they are combined together.
Meziri
M
M
Département de Physique, LCS, Université Badji Mokhtar, BP 12, Annaba, Algérie.
Pereira
W C A
WC
Abdelwahab
A
A
Degott
C
C
Laugier
P
P
D000162:Acoustics; D002908:Chronic Disease; D016002:Discriminant Analysis; D006498:Hepatectomy; D006801:Humans; D066298:In Vitro Techniques; D008103:Liver Cirrhosis / Q000000981:diagnostic imaging*; D018709:Statistics, Nonparametric; D014159:Transducers; D014463:Ultrasonography / Q000379:methods*