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Why Cultural Fit Matters when Selecting an Imaging CRO In the clinical trials process, high quality imaging used as surrogate endpoints significantly improves the evaluation of novel cancer therapies. Evaluating imaging data plays an invaluable role in assessing disease status and drug efficacy over multiple therapeutic cycles and throughout the clinical trials process. Image analysis can be highly subjective: for example, several radiologists may interpret the same image differently. In addition, technological variations in Read more

Minimizing Variability in Imaging Reads for Clinical trials In oncology, response to treatment is typically assessed by measuring tumor size and growth over time using medical images obtained from various imaging modalities. Medical images can provide unreliable results if standardization protocols are not implemented and carefully followed. A thorough understanding of quantitative imaging, its potential for variability and the standardization guidelines necessary to produce data that reliably detects drug treatment effects are key to Read more

Putting patient needs first improves patient engagement in a clinical trial, and delivers a better experience for everyone involved – from recruitment to their last medical image. The statistics are staggering. In March of this year The Journal of Oncology Practice published ‘’The State of Cancer Care in America, 2017: A Report by the American Society of Clinical Oncology’’. In this report they cited that more than 15.5 million cancer survivors lived in the Read more

Going Beyond RECIST – Part 3 Making Volumetric Tumor Measurements:  The Nuts and Bolts  [Part 3 of our 3 Part series on Going Beyond RECIST: a look at volumetric and functional tumor analysis in oncology clinical trials.]  Volume-based measurements and functional imaging, which encompass the whole tumor and reflect physiological changes, can be used to make both morphological and functional measurements, and in certain instances, may allow clinicians to more accurately assess response.  Segmentation Read more

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