PREDICT - PRostate cancer Enhanced Diagnosis by Calibration Technology

金标准幻影有限公司，伦敦大学学院的副产品，已经构思了一个突破性的解决方案，通过磁共振成像（MRI）提高癌症诊断的准确性。革命性的校准工具CARE™已经开发出来，以增强放射科医生对解释MRI测量结果的信心，特别是在检测前列腺癌患者病变转化的早期迹象方面。CARE™解决方案是PREDICT项目的核心，该项目是一项前瞻性的倡议，旨在提高前列腺癌的诊断。凭借其独特的校准能力，CARE™提供了一个显着的优势，而不是使用幻影来校准MRI扫描仪，通常不切实际，因此经常未被充分利用。它在日常患者扫描中易于实施，通过实施真正的定量MRI指标，将彻底改变前列腺癌诊断。CARE™的突出优点之一是可以进行跨机构测量比较。这种能力为创建新的指导方针开辟了道路，包括定义癌变的特定阈值-这一成就目前因缺乏MRI扫描仪校准而受阻。建立这样的指导方针对放射科医生有着深远的兴趣，因为它将进一步巩固他们在诊断中的关键作用。此外，CARE™的校准系统首次在MRI中使用基于计算机辅助检测（CAD）的人工智能（AI），这是目前用于其他定量成像方法（如x射线和CT扫描）的策略。这项创新为放射科医生带来了显著的生产力和效率提升。

Gold Standard Phantoms Limited, a University College London spinout, has conceived a ground-breaking solution to elevate the accuracy of cancer diagnosis through Magnetic Resonance Imaging (MRI). The revolutionary calibration tool, CARE™, has been developed to bolster radiologists' confidence in interpreting MRI measurements, especially in detecting early signs of lesion transformation in prostate cancer patients.The CARE™ solution lies at the heart of the PREDICT project, a forward-thinking initiative that targets the enhancement of prostate cancer diagnosis. With its unique calibration capability, CARE™ provides a significant advantage over the use of phantoms for calibration of MRI scanners, generally impractical and therefore often underused. Its ease of implementation in everyday patient scans will revolutionise prostate cancer diagnosis through the implementation of true quantitative MRI metrics.One of the standout benefits of CARE™ is the potential for cross-institutional measurement comparison. This capability opens the path to the creation of new guidelines, including specific thresholds for defining cancerous lesions – an achievement currently thwarted by the lack of MRI scanner calibration. The establishment of such guidelines is of profound interest to radiologists, as it would further solidify their critical role in diagnostics.In addition, CARE™'s calibration system enables the use of Computer-Aided Detection (CAD)-based Artificial Intelligence (AI) in MRI for the first time, a strategy presently employed in other quantitative imaging methods like X-ray and CT scans. This innovation promises significant productivity and efficiency gains for radiologists.