PREDICT - PRostate cancer Enhanced Diagnosis by Calibration Technology

伦敦大学学院的一家分支机构Gold Standard MRI Limited构思了一种突破性的解决方案，通过磁共振成像（MRI）提高癌症诊断的准确性。CARE™是一款革命性的校准工具，旨在增强放射科医生解读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水平。凭借其独特的校准能力，CARE™在使用体模校准MRI扫描仪方面具有显著优势，体模通常不切实际，因此经常未得到充分利用。它易于在日常患者扫描中实施，通过实施真正的定量MRI指标，将彻底改变前列腺癌诊断。CARE™的突出优势之一是跨机构测量比较的潜力。这一能力为创建新的指南开辟了道路，包括定义癌性病变的特定阈值-这一成就目前因缺乏MRI扫描仪校准而受阻。这一指南的建立对放射科医生来说意义重大，因为它将进一步巩固他们在诊断中的关键作用。此外，CARE™的校准系统首次实现了在MRI中使用基于计算机辅助检测（CAD）的人工智能（AI），这是目前在其他定量成像方法（如X射线和CT扫描）中使用的一种策略。这项创新有望为放射科医生带来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.