Variability of three-dimensional high-frequency ultrasound measurements of small tumor volumes

Hastie, L.A.; Graham, Kevin C.; Groom, A. C.; Macdonald, Ian; Chambers, Ann F.; Fenster, Aaron; Lacefield, James C.

doi:10.1109/ultsym.2004.1418272

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…As displayed in Figure 3(b) and described in other studies, a high frequency US provides relatively good soft tissue contrast which facilitates volume measurements with accuracy and precision although slightly reduced echogenicity at the tumor edges was observed. Hastie et al described that low levels of intra-observer variabilities (≈10% to 18%) were observed in high frequency US [32].…”

Section: Comparison Of Caliper- Mr Us and Ct Image-based Volume Witmentioning

confidence: 99%

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume

Lee¹,

Fullerton²,

Goins³

2015

OJMI

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Purpose: Changes in tumor volume are used for therapy response monitoring in preclinical studies. Unlike prior studies, this article introduces in-air micro-computed tomography (micro-CT) image volume as reference tumor volume in rodent tumor models. Tumor volumes determined using imaging modalities such as magnetic resonance imaging (MRI), micro-CT and ultrasound (US), and with an external caliper are compared with the reference tumor volume. Materials and Methods: In vivo MR, US and micro-CT imaging was performed 4, 6, 9, 11 and 13 days after tumor cell inoculation into nude rats. On the day of the imaging study, in vivo caliper measurements were also made. After in vivo imaging, tumors were excised followed by in-air micro-CT imaging and ex vivo caliper measurements of excised tumors. The in-air micro-CT image volume of excised tumors was determined as reference tumor volume. Then tumor volumes were calculated using formula V = (π/6) × a × b × c, where a, b and c are maximum diameters in three perpendicular dimensions determined by the three image modalities and caliper, and compared with reference tumor volume by linear regression analysis as well as Bland-Altman plots. Results: The correlation coefficients (R 2) of the regression lines for in vivo tumor volumes measured by the three imaging modalities were 0.9939, 0.9669 and 0.9806 for MRI, US and micro-CT respectively. For caliper measurements, the coefficients were 0.9274 and 0.9819 for caliper in vivo and caliper ex vivo respectively. In Bland-Altman plots, the average of tumor volume difference from reference tumor volume (bias) was significant for caliper and micro-CT, but not for MRI and US. Conclusion: Using the in-air micro-CT image volume as reference tumor volume, tumor volume measured by MRI was the most accurate among the three imaging modalities. In vivo caliper volume measurements showed unreliability while ex vivo caliper measurements reduced errors.

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Section: Comparison Of Caliper- Mr Us and Ct Image-based Volume Witmentioning

confidence: 99%

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume

Lee¹,

Fullerton²,

Goins³

2015

OJMI

View full text Add to dashboard Cite

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“…For small-animal imaging, frequencies in the range of 20 to 50 MHz can provide sharp images of anatomical structure for depths down to 1cm. At 40 MHz, the resolution is on the order of 50 m [32]. In both xenograft and orthotopic rodent models, tumors can be viewed with well defined boundaries, allowing for quantitative measurement of volume size.…”

Section: Assessment Of Tumor Volumementioning

confidence: 99%

Use of Ultrasound to Assess Drug Efficacy in Orthotopic Rat Models of HCC

Bagi¹,

Swanson²,

Tuthill³

2011

Ultrasound Imaging - Medical Applications

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“…The desired number of repeat measurements per image (n) was determined by a conventional sample size calculation (Armitage and Berry 1987) with significance level 0.05 and power 0.80. The calculation used an estimate of the standard deviation of repeated volume measurements (σ = 0.04 mm 3 ) that was obtained from a previous study (Hastie et al 2004) with a single observer and tumours with a volume less than 2 mm 3 . The calculation indicated that 16 repeated measurements per image were necessary to obtain an observable difference in volume of 0.04 mm 3 , which was slightly smaller than the smallest tumour in the multi-observer study.…”

Section: Inter-and Intra-observer Variabilitymentioning

confidence: 99%

Volume measurement variability in three-dimensional high-frequency ultrasound images of murine liver metastases

et al. 2006

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The identification and quantification of tumour volume measurement variability is imperative for proper study design of longitudinal non-invasive imaging of pre-clinical mouse models of cancer. Measurement variability will dictate the minimum detectable volume change, which in turn influences the scheduling of imaging sessions and the interpretation of observed changes in tumour volume. In this paper, variability is quantified for tumour volume measurements from 3D high-frequency ultrasound images of murine liver metastases. Experimental B16F1 liver metastases were analysed in different size ranges including less than 1 mm3, 1-4 mm3, 4-8 mm3 and 8-70 mm3. The intra- and inter-observer repeatability was high over a large range of tumour volumes, but the coefficients of variation (COV) varied over the volume ranges. The minimum and maximum intra-observer COV were 4% and 14% for the 1-4 mm3 and <1 mm3 tumours, respectively. For tumour volumes measured by segmenting parallel planes, the maximum inter-slice distance that maintained acceptable measurement variability increased from 100 to 600 microm as tumour volume increased. Comparison of free breathing versus ventilated animals demonstrated that respiratory motion did not significantly change the measured volume. These results enable design of more efficient imaging studies by using the measured variability to estimate the time required to observe a significant change in tumour volume.

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Variability of three-dimensional high-frequency ultrasound measurements of small tumor volumes

Cited by 3 publications

References 9 publications

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume

Use of Ultrasound to Assess Drug Efficacy in Orthotopic Rat Models of HCC

Volume measurement variability in three-dimensional high-frequency ultrasound images of murine liver metastases

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Variability of three-dimensional high-frequency ultrasound measurements of small tumor volumes

Cited by 3 publications

References 9 publications

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using &lt;i&gt;In-Air&lt;/i&gt; Micro-CT Image Volume as Reference Tumor Volume

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using &lt;i&gt;In-Air&lt;/i&gt; Micro-CT Image Volume as Reference Tumor Volume

Use of Ultrasound to Assess Drug Efficacy in Orthotopic Rat Models of HCC

Volume measurement variability in three-dimensional high-frequency ultrasound images of murine liver metastases

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Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume

Comparison of Multimodality Image-Based Volumes in Preclinical Tumor Models Using <i>In-Air</i> Micro-CT Image Volume as Reference Tumor Volume