Partridge T, Wolfson P, Jiang J, Massimi L, Astolfo A, Djurabekova N, Savvidis S, Jones C J Maughan, Hagen C K, Millard E, Shorrock W, Waltham R M, Haig I G, Bate D, Ho K M A, Mc Bain H, Wilson A, Hogan A, Delaney H, Liyadipita A, Levine A P, Dawas K, Mohammadi B, Qureshi Y A, Chouhan M D, Taylor S A, Mughal M, Munro P R T, Endrizzi M, Novelli M, Lovat L B, Olivo A
Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
Division of Surgery and Interventional Science, UCL, London WC1E 6BT, UK.
Optica. 2024 Apr 19;11(4):569-576. doi: 10.1364/OPTICA.501948. eCollection 2024 Apr 20.
With histopathology results typically taking several days, the ability to stage tumors during interventions could provide a step change in various cancer interventions. X-ray technology has advanced significantly in recent years with the introduction of phase-based imaging methods. These have been adapted for use in standard labs rather than specialized facilities such as synchrotrons, and approaches that enable fast 3D scans with conventional x-ray sources have been developed. This opens the possibility to produce 3D images with enhanced soft tissue contrast at a level of detail comparable to histopathology, in times sufficiently short to be compatible with use during surgical interventions. In this paper we discuss the application of one such approach to human esophagi obtained from esophagectomy interventions. We demonstrate that the image quality is sufficiently high to enable tumor staging based on the x-ray datasets alone. Alongside detection of involved margins with potentially life-saving implications, staging tumors intra-operatively has the potential to change patient pathways, facilitating optimization of therapeutic interventions during the procedure itself. Besides a prospective intra-operative use, the availability of high-quality 3D images of entire esophageal tumors can support histopathological characterization, from enabling "right slice first time" approaches to understanding the histopathology in the full 3D context of the surrounding tumor environment.
由于组织病理学结果通常需要几天时间才能得出,在干预过程中对肿瘤进行分期的能力可能会给各种癌症干预带来重大改变。近年来,随着基于相位的成像方法的引入,X射线技术取得了显著进展。这些方法已被应用于标准实验室,而非同步加速器等专门设施,并且已经开发出了能够使用传统X射线源进行快速三维扫描的方法。这使得在足够短的时间内生成具有增强软组织对比度的三维图像成为可能,其细节程度可与组织病理学相媲美,且时间短到足以在手术干预期间使用。在本文中,我们讨论了一种此类方法在取自食管切除术干预的人体食管上的应用。我们证明,图像质量足够高,仅基于X射线数据集就能对肿瘤进行分期。除了检测具有潜在救命意义的受累切缘外,术中对肿瘤进行分期有可能改变患者的治疗路径,有助于在手术过程中优化治疗干预。除了术中的前瞻性应用外,整个食管肿瘤的高质量三维图像的可用性可以支持组织病理学特征分析,从实现“首次切到正确切片”的方法到在周围肿瘤环境的完整三维背景下理解组织病理学。