英文誌(2004-)
Rapid Communication(速報)
(0053 - 0058)
簡便な探触子圧迫法によるカラードプラ腫瘍弾性イメージ
Sonoelasticity imaging of Tumors Using a Conventional Color Doppler Instrument: A Preliminary Report
北村 宏, 中山 中, 川手 裕義, 久保田 充, 小林 聡, 今村 宏, 島田 良, 宮川 眞一, 川崎 誠治
Hiroshi KITAMURA, Ataru NAKAYAMA, Yoshihiro KAWATE, Mitsuru KUBOTA, Akira KOBAYASHI, Hiroshi IMAMURA, Ryo SHIMADA, Shinichi MIYAGAWA, Seiji KAWASAKI
信州大学第一外科
First Department of Surgery Shinshu University School of Medicine
キーワード : Color Doppler, Sonoelasticity, Tissue stiffness
Objective. To evaluate the stiffness of tumors with respect to the stiffness of the surrounding tissue, shear velocity generated
by external compression was visualized using a conventional color Doppler ultrasonograph.
Materials and Methods. Patients with breast carcinoma (n=2), hepatocellular carcinoma (n=6), metastatic liver tumor (n=3), leiomyosarcoma of the small intestine (n=1), and carcinoma of the small intestine (n=1) were subjected to ultrasound
examination. The hepatocellular carcinomas were treated by transarterial chemoembolization. Manual compression with the
transducer was applied through the body surface, and sonoelasticity images were captured when the strain on the tissue was
released by a quick backward movement of the transducer. Velocity range was varied in each examination to obtain the best
discrimination between the targets and the adjacent tissue based on their shear speeds. The ultrasound data were confirmed by
comparison with CT findings from hepatocellular carcinomas and by histological examination (surgical removal) of the other
tumors.
Results. Stiffness of pretreated hepatocellular carcinomas did not differ from that of the surrounding parenchyma. Effectively
treated tumors or the necrotic portions of the tumors exhibited less Doppler signal than the surrounding parenchyma or residual
viable tumor component. Although two of the metastatic liver tumors presented color-coded images indicating hardness, the
others did not. The breast tumor and the intestinal tumors presented significant color-coded images, indicating that the tumors
were much harder than the surrounding tissue.
Conclusions. Our technique for visualizing tumor characteristics in terms of stiffness seems to be simpler and practical than
methods requiring a vibration apparatus, analog-digital converter for radio frequency signal analysis, or other special
equipment.