318 Effects of Radiologic Tumor Response of Anti-Glypican-3 GC33 and Multi Tyrosine Kinases Inhibitor Sorafenib in Hepatocellular Carcinoma

Abou-Alfa, G. K.; Zhao, Baowei; Chou, Jung-Mao; Ma, Junli; Capanu, Marinela; Koga, Makiko; Lee, R.; Othomo, T.; Germino, Joseph; Schwartz, L.

doi:10.1016/s0959-8049(12)72116-0

Cited by 2 publications

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“…Our CAV algorithm was originally developed for hepatic lesions and has since been adapted for different applications including brain and renal malignancies, lymphoma, and peritoneal mesothelioma. [18][19][20][21][22] The semiautomated algorithm combines the region-based active contours and a level set approach and has the advantages of easy initialization, quick segmentation, and efficient modification. An operator manually selects a region of interest that roughly encloses the tumor on a single image.…”

Section: 11mentioning

confidence: 99%

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

Chow¹,

Qi²,

Guo³

et al. 2013

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:A limitation in postoperative monitoring of patients with glioblastoma is the lack of objective measures to quantify residual and recurrent disease. Automated computer-assisted volumetric analysis of contrast-enhancing tissue represents a potential tool to aid the radiologist in following these patients. In this study, we hypothesize that computer-assisted volumetry will show increased precision and speed over conventional 1D and 2D techniques in assessing residual and/or recurrent tumor.

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Section: 11mentioning

confidence: 99%

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

Chow¹,

Qi²,

Guo³

et al. 2013

AJNR Am J Neuroradiol

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“…The proprietary semi-automated segmentation algorithm combines the region-based active contours and a level set approach which has been validated for use in other diseases and further modified for this particular application (9)(10)(11)(12)(13)(14). This segmentation algorithm and a number of manual interaction functions, such as selection of a region of interest and modification of suboptimal contour results, have been integrated into a viewing system developed by customized software (Matlab, Mathworks, Natick, MA, USA).…”

Section: Computer Imaging Analysismentioning

confidence: 99%

Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study

Mema

Guo

et al. 2016

Quant. Imaging Med. Surg.

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Background: The amount of fibroglandular tissue (FGT) has been linked to breast cancer risk based on mammographic density studies. Currently, the qualitative assessment of FGT on mammogram (MG) and magnetic resonance imaging (MRI) is prone to intra and inter-observer variability. The purpose of this study is to develop an objective quantitative FGT measurement tool for breast MRI that could provide significant clinical value.Methods: An IRB approved study was performed. Sixty breast MRI cases with qualitative assessment of mammographic breast density and MRI FGT were randomly selected for quantitative analysis from routine breast MRIs performed at our institution from 1/2013 to 12/2014. Blinded to the qualitative data, whole breast and FGT contours were delineated on T1-weighted pre contrast sagittal images using an inhouse, proprietary segmentation algorithm which combines the region-based active contours and a level Conclusions: Quantitative measures of FGT (%) were computed with data derived from breast MRI and correlated significantly with conventional qualitative assessments. This quantitative technique may prove to be a valuable tool in clinical use by providing computer generated standardized measurements with limited intra or inter-observer variability.

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318 Effects of Radiologic Tumor Response of Anti-Glypican-3 GC33 and Multi Tyrosine Kinases Inhibitor Sorafenib in Hepatocellular Carcinoma

Cited by 2 publications

References 0 publications

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

Semiautomated Volumetric Measurement on Postcontrast MR Imaging for Analysis of Recurrent and Residual Disease in Glioblastoma Multiforme

Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study

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