2014
DOI: 10.1586/14737140.2015.978861
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Assessing tumor response after loco-regional liver cancer therapies: the role of 3D MRI

Abstract: Assessing the tumor response of liver cancer lesions after intraarterial therapies is of major clinical interest. Over the last two decades, tumor response criteria have come a long way from purely size-based, anatomic methods such as the Response Evaluation Criteria in Solid Tumors towards more functional, enhancement- and diffusion-based parameters with a strong emphasis on MRI as the ultimate imaging modality. However, the relatively low reproducibility of those one- and 2D techniques (modified Response Eva… Show more

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Cited by 34 publications
(20 citation statements)
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References 33 publications
(46 reference statements)
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“…A strong correlation of imaging-based measurements of tumor response to TACE with tumor pathology provides critical foundation to link radiological findings with actual therapeutic effect. However, current tumor response methods, such as mRECIST and the European Association for the study of the Liver (EASL) guidelines have limitations in practice[25]. One of which is that they need upwards of 2 months after TACE to assess tumor response on follow-up imaging and so they can’t provide immediate feedback[26].…”
Section: Discussionmentioning
confidence: 99%
“…A strong correlation of imaging-based measurements of tumor response to TACE with tumor pathology provides critical foundation to link radiological findings with actual therapeutic effect. However, current tumor response methods, such as mRECIST and the European Association for the study of the Liver (EASL) guidelines have limitations in practice[25]. One of which is that they need upwards of 2 months after TACE to assess tumor response on follow-up imaging and so they can’t provide immediate feedback[26].…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, they are surrogates of the overall tumor volume and do not reflect its actual extent (22,23). The advent of new automated and semiautomated tumor segmentation methods has contributed to the shift away from one- and two-dimensional methods toward three-dimensional (3D) quantitative image analysis (2426). Initial works established the feasibility and accuracy of 3D quantitative enhancement-based analysis to assess liver tumors after local-regional therapy (27,28).…”
mentioning
confidence: 99%
“…The segmentation of liver lesions in MRI examinations is also firmly established and usually involves a semi-automatic, volume-based approach [25,26]. On the other hand, reliable segmentation of liver lesions in CT -with its lower soft-tissue-contrast -is a more demanding task and has been addressed only recently [24,27].…”
Section: Discussionmentioning
confidence: 99%