Literature DB >> 15972428

Quantitative assessment of colorectal cancer perfusion using MDCT: inter- and intraobserver agreement.

Vicky Goh1, Steve Halligan, Jo-Ann Hugill, Paul Bassett, Clive I Bartram.   

Abstract

OBJECTIVE: The objective of our study was to determine inter- and intraobserver agreement of MDCT colorectal cancer perfusion measurements. SUBJECTS AND METHODS: Thirty-one patients (17 men, 14 women; median age, 69 years) with proven colorectal cancer were examined prospectively using MDCT. A 65-sec dynamic study (cine mode, 4 x 5 mm collimation) was acquired through the tumor after i.v. contrast administration (100 mL of iopamidol 350, 5 mL/sec). Tumor blood volume, blood flow, mean transit time, and permeability measurements were determined by two independent observers using commercial software. Inter- and intraobserver agreement was assessed using the Bland-Altman test.
RESULTS: The mean difference for interobserver agreement (95% limits of agreement) was -0.81 mL/100 g tissue (-3.14 to 1.52); -9.94 mL/100 g tissue/min (-51.43 to 32.65); -1.09 sec (-7.05 to 4.86); and -2.90 mL/100 g tissue/min (-11.48 to 5.68) for blood volume, blood flow, mean transit time, and permeability, respectively. The intraclass correlation coefficient was 0.83, 0.89, 0.89, and 0.80, respectively. The mean difference for intraobserver agreement (95% limits of agreement) was 0.12 mL/100 g tissue (-1.90 to 2.14); 0.02 mL/100 g tissue/min (-13.13 to 13.17); -0.19 sec (-3.19 to 2.81); and 0.00 mL/100 g tissue/min (-2.45 to 2.45) for observer 1 and 0.26 mL/100 g tissue (-1.46 to 1.98); 4.47 mL/100 g tissue/min (-26.65 to 35.59); -0.21 sec (-2.48 to 2.06); 1.08 mL/100 g tissue/min (-4.92 to 7.08) for observer 2. The intraclass correlation coefficient was 0.86, 0.98, 0.97, 0.98 for observer 1 and 0.93, 0.96, 0.99, and 0.94, respectively, for observer 2.
CONCLUSION: There is greater inter- than intraobserver agreement for CT vascular perfusion measurements of primary colorectal cancer, which must be addressed for reliable clinical application in therapeutic monitoring.

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Year:  2005        PMID: 15972428     DOI: 10.2214/ajr.185.1.01850225

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  26 in total

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7.  Porcine ex vivo liver phantom for dynamic contrast-enhanced computed tomography: development and initial results.

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Review 9.  CT perfusion in oncology: how to do it.

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10.  Vasomodulation of tumor blood flow: effect on perfusion and thermal ablation size.

Authors:  Hanping Wu; Agata A Exner; Tianyi M Krupka; Brent D Weinberg; John R Haaga
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