Afifah Maryam, Bulthuis Marloes C, Goudschaal Karin N, Verbeek-Spijkerman Jolanda M, Rosario Tezontl S, den Boer Duncan, Hinnen Karel A, Bel Arjan, van Kesteren Zdenko
Amsterdam UMC, Location Vrije Universiteit, Department of Radiation Oncology, De Boelelaan 1118, Amsterdam, the Netherlands.
Amsterdam UMC, Location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, Amsterdam, the Netherlands.
Phys Imaging Radiat Oncol. 2024 Feb 2;29:100545. doi: 10.1016/j.phro.2024.100545. eCollection 2024 Jan.
Virtual Unenhanced images (VUE) from contrast-enhanced dual-energy computed tomography (DECT) eliminate manual suppression of contrast-enhanced structures (CES) or pre-contrast scans. CT intensity decreases in high-density structures outside the CES following VUE algorithm application. This study assesses VUE's impact on the radiotherapy workflow of gynecological tumors, comparing dose distribution and cone-beam CT-based (CBCT) position verification to contrast-enhanced CT (CECT) images.
A total of 14 gynecological patients with contrast-enhanced CT simulation were included. Two CT images were reconstructed: CECT and VUE. Volumetric Modulated Arc Therapy (VMAT) plans generated on CECT were recalculated on VUE using both the CECT lookup table (LUT) and a dedicated VUE LUT. Gamma analysis assessed 3D dose distributions. CECT and VUE images were retrospectively registered to daily CBCT using Chamfer matching algorithm..
Planning target volume PTV) dose agreement with CECT was within 0.35% for D, D, and D. Organs at risk (OARs) D agreed within 0.36%. A dedicated VUE LUT lead to smaller dose differences, achieving a 100% gamma pass rate for all subjects. VUE imaging showed similar translations and rotations to CECT, with significant but minor translation differences (<0.02 cm). VUE-based registration outperformed CECT. In 24% of CBCT-CECT registrations, inadequate registration was observed due to contrast-related issues, while corresponding VUE images achieved clinically acceptable registrations.
VUE imaging in the radiotherapy workflow is feasible, showing comparable dose distributions and improved CBCT registration results compared to CECT. VUE enables automated bone registration, limiting inter-observer variation in the Image-Guided Radiation Therapy (IGRT) process.
对比增强双能计算机断层扫描(DECT)的虚拟平扫图像(VUE)消除了对对比增强结构(CES)或平扫前扫描的手动抑制。应用VUE算法后,CES外高密度结构的CT强度降低。本研究评估VUE对妇科肿瘤放疗流程的影响,将剂量分布和基于锥形束CT(CBCT)的位置验证与对比增强CT(CECT)图像进行比较。
共纳入14例接受对比增强CT模拟的妇科患者。重建了两幅CT图像:CECT和VUE。在CECT上生成的容积调强弧形放疗(VMAT)计划在VUE上使用CECT查找表(LUT)和专用的VUE LUT重新计算。伽马分析评估三维剂量分布。使用倒角匹配算法将CECT和VUE图像回顾性配准到每日CBCT上。
计划靶区(PTV)剂量与CECT的一致性在D、D和D方面在0.35%以内。危及器官(OARs)的D一致性在0.36%以内。专用的VUE LUT导致剂量差异更小,所有受试者的伽马通过率达到100%。VUE成像显示与CECT相似的平移和旋转,平移差异显著但较小(<0.02 cm)。基于VUE的配准优于CECT。在24%的CBCT-CECT配准中,由于对比相关问题观察到配准不足,而相应的VUE图像实现了临床可接受的配准。
放疗流程中的VUE成像可行,与CECT相比显示出可比的剂量分布和改进的CBCT配准结果。VUE实现了自动骨配准,限制了图像引导放射治疗(IGRT)过程中观察者间的差异。