K A Topp1, J F Zachary, W D O'Brien. 1. Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana 61801, USA.
Abstract
OBJECTIVE: To evaluate the frequency dependence of ultrasonic backscatter for its ability to differentiate between neoplastic and healthy tissue. METHODS: Standard B-mode images were created of 5 rats with spontaneous mammary tumors, and regions of interest in the lesion and surrounding tissue were parameterized by the slope of the backscatter amplitude versus frequency. RESULTS: In 4 of the 5 rats, the averaged backscatter slope of the regions of interest in the tumor was significantly (P < .05) different from that of the surrounding tissue, and the fifth case had a moderate difference (P = .20). The consistency of the averaged slope values (1.2-1.8 dB/MHz) across all but 1 of the mammary tumors was encouraging for the prospect of identifying a tissue type by its backscatter slope. CONCLUSIONS: This work suggests that characterization and diagnosis of tissue types may be possible by using ultrasonographic images quantified by the frequency dependence of backscatter.
OBJECTIVE: To evaluate the frequency dependence of ultrasonic backscatter for its ability to differentiate between neoplastic and healthy tissue. METHODS: Standard B-mode images were created of 5 rats with spontaneous mammary tumors, and regions of interest in the lesion and surrounding tissue were parameterized by the slope of the backscatter amplitude versus frequency. RESULTS: In 4 of the 5 rats, the averaged backscatter slope of the regions of interest in the tumor was significantly (P < .05) different from that of the surrounding tissue, and the fifth case had a moderate difference (P = .20). The consistency of the averaged slope values (1.2-1.8 dB/MHz) across all but 1 of the mammary tumors was encouraging for the prospect of identifying a tissue type by its backscatter slope. CONCLUSIONS: This work suggests that characterization and diagnosis of tissue types may be possible by using ultrasonographic images quantified by the frequency dependence of backscatter.
Authors: P M Paprottka; P Zengel; M Ingrisch; C C Cyran; M Eichhorn; M F Reiser; K Nikolaou; D-A Clevert Journal: Radiologe Date: 2011-06 Impact factor: 0.635
Authors: Hadi Tadayyon; Lakshmanan Sannachi; Ali Sadeghi-Naini; Azza Al-Mahrouki; William T Tran; Michael C Kolios; Gregory J Czarnota Journal: Transl Oncol Date: 2015-12 Impact factor: 4.243
Authors: Hanna Piotrzkowska-Wróblewska; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Piotr Karwat; Katarzyna Roszkowska-Purska; Magdalena Gumowska; Jerzy Litniewski Journal: PLoS One Date: 2019-03-14 Impact factor: 3.240