Computed analysis of three-dimensional cone-beam computed tomography angiography for determination of tumor-feeding vessels during chemoembolization of liver tumor: a pilot study.
The purpose of this study was to evaluate computed analysis of three-dimensional (3D) cone-beam computed tomography angiography (CTA) of the liver for determination of subsegmental tumor-feeding vessels (FVs). Eighteen consecutive patients underwent transarterial chemoembolization (TACE) from January to October 2008 for 25 liver tumors (15 hepatocellular carcinomas [HCCs] and 10 neuroendocrine metastases). Anteroposterior projection angiogram (two-dimensional [2D]) and 3D cone-beam CTA images were acquired by injection of the common hepatic artery. Retrospectively, FVs were independently identified by three radiology technologists using a software package (S) that automatically determines FVs by analysis of 3D images. Subsequently, three interventional radiologists (IRs) independently identified FVs by reviewing the 2D images followed by examination of the 3D images. Finally, the "ground truth" for the number and location of FVs was obtained by consensus among the IRs, who were allowed to use any imaging-including 2D, 3D, and all oblique or selective angiograms-for such determination. Sensitivities, durations, and degrees of agreement for review of 2D, 3D, and S results were evaluated. Sensitivity of 3D (73%) was higher than 2D (64%) images for identification of FVs (P = 0.036). The sensitivity of S (93%) was higher than 2D (P = 0.02) and 3D (P = 0.005) imaging. The duration for review of 3D imaging was longer than that for 2D imaging (187 vs. 94 s, P = 0.0001) or for S (135 s, P = 0.0001). The degree of agreement between the IRs using 2D and 3D imaging were 54% and 62%, respectively, whereas it was 82% between the three radiology technologists using S. These preliminary data show that computed determination of FVs is both accurate and sensitive.
Deschamps
Frederic
F
Service de Radiologie Interventionnelle, Institut Gustave Roussy, 94805, Villejuif, France, frederic.deschamps@igr.fr
Solomon
Stephen B
SB
Thornton
Raymond H
RH
Rao
Pramod
P
Hakime
Antoine
A
Kuoch
Viseth
V
de Baere
Thierry
T
D000328:Adult; D000368:Aged; D000792:Angiography / Q000379:methods*; D006528:Carcinoma, Hepatocellular / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000628:therapy*; D016461:Chemoembolization, Therapeutic; D054893:Cone-Beam Computed Tomography / Q000379:methods*; D003287:Contrast Media; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D008113:Liver Neoplasms / Q000098:blood supply* / Q000000981:diagnostic imaging* / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D010865:Pilot Projects; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D012984:Software; D016896:Treatment Outcome; D014283:Triiodobenzoic Acids
D003287:Contrast Media; D014283:Triiodobenzoic Acids; C044834:iodixanol
Cardiovasc Intervent Radiol. 2007 Jan-Feb;30(1):6-25
17103105
AJR Am J Roentgenol. 2009 Apr;192(4):1057-63
19304714
Cardiovasc Intervent Radiol. 2009 Mar;32(2):255-64
19067043
J Vasc Interv Radiol. 2005 Sep;16(9):1241-5
16151066
J Vasc Interv Radiol. 2007 Oct;18(10):1305-9
17911523
IEEE Trans Med Imaging. 2002 Nov;21(11):1344-57
12575871
Radiographics. 2008 Jul-Aug;28(4):1131-45
18635633
J Vasc Interv Radiol. 2007 Dec;18(12):1508-16
18057285
J Vasc Interv Radiol. 2006 Feb;17(2 Pt 1):217-23
16517767