Borgbjerg Jens, Larsen Nis Elbrønd, Salte Ivar Mjåland, Grønli Niklas Revold, Klæstrup Elise, Negård Anne
Department of Radiology, Akershus University Hospital, Sykehusveien 25, Nordbyhagen 1478, Norway.
Department of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Data Brief. 2023 Oct 12;51:109672. doi: 10.1016/j.dib.2023.109672. eCollection 2023 Dec.
Computed tomography-based active surveillance is increasingly used to manage small renal tumors, regardless of patient age. However, there is an unmet need for decreasing radiation exposure while maintaining the necessary accuracy and reproducibility in radiographic measurements, allowing for detecting even minor changes in renal mass size. In this article, we present supplementary data from a multiobserver investigation. We explored the accuracy and reproducibility of low-dose CT (75% dose reduction) compared to normal-dose CT in assessing maximum axial renal tumor diameter. Open-access CT datasets from the 2019 Kidney and Kidney Tumor Segmentation Challenge were used. A web-based platform for assessing observer performance was used by six radiologist observers to obtain and provide data on tumor diameters and accompanying viewing settings, in addition to key images of each measurement and an interactive module for exploring diameter measurements. These data can serve as a baseline and inform future studies investigating and validating lower-dose CT protocols for active surveillance of small renal masses.
基于计算机断层扫描的主动监测越来越多地用于管理小肾肿瘤，无论患者年龄如何。然而，在保持放射学测量必要的准确性和可重复性的同时，降低辐射暴露仍存在未满足的需求，以便能够检测出肾肿块大小的微小变化。在本文中，我们展示了一项多观察者调查的补充数据。我们探讨了低剂量CT（剂量减少75%）与正常剂量CT相比在评估肾肿瘤最大轴向直径方面的准确性和可重复性。使用了2019年肾脏和肾肿瘤分割挑战赛的开放获取CT数据集。六位放射科医生观察者使用一个基于网络的平台来评估观察者的表现，以获取并提供有关肿瘤直径及伴随的观察设置的数据，以及每次测量的关键图像和一个用于探索直径测量的交互式模块。这些数据可作为基线，并为未来研究调查和验证用于小肾肿块主动监测的低剂量CT方案提供参考。
