This paper presents an overview of the second edition of the HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event of the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021. The challenge is composed of three tasks related to the automatic analysis of PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. Task 1 is the automatic segmentation of H&N primary Gross Tumor Volume (GTVt) in FDG-PET/CT images. Task 2 is the automatic prediction of Progression Free Survival (PFS) from the same FDG-PET/CT. Finally, Task 3 is the same as Task 2 with ground truth GTVt annotations provided to the participants. The data were collected from six centers for a total of 325 images, split into 224 training and 101 testing cases. The interest in the challenge was highlighted by the important participation with 103 registered teams and 448 result submissions. The best methods obtained a Dice Similarity Coefficient (DSC) of 0.7591 in the first task, and a Concordance index (C-index) of 0.7196 and 0.6978 in Tasks 2 and 3, respectively. In all tasks, simplicity of the approach was found to be key to ensure generalization performance. The comparison of the PFS prediction performance in Tasks 2 and 3 suggests that providing the GTVt contour was not crucial to achieve best results, which indicates that fully automatic methods can be used. This potentially obviates the need for GTVt contouring, opening avenues for reproducible and large scale radiomics studies including thousands potential subjects.
翻译:本文件概述了HEAD和NecK TumOR(HECKTOR)第二版挑战(HECKTOR),这是作为第24届医学图像计算和计算机辅助干预国际会议(MICAI)第2021年第24届医学图像计算和计算机辅助干预(MICAAI)的卫星活动而组织的。挑战包括三项任务,涉及对头癌和颈癌患者PET/CT图像的自动分析,重点是opopharynx区域。任务1是FDG-PET/CT图像中H&N初级Gros Tumor Vial(GTVT)的自动分解。任务2是从FDG-PET/CT第24届国际医疗图像和计算机辅助干预(HECTOR)中自动预测进步自由生存(PFS),这是第2期FD-PET/CT的自动预测。 最后,任务3号任务的任务与第2项任务(GTVT)的地面真实性说明相同。从六个中心收集的数据共3张图像,分为2个培训和101个测试案例。加入103个已登记团队和448次结果,对挑战表示有兴趣。对挑战感兴趣。在提交。最佳相似度(DiceC)中获得了了0.759节化(DVDVD)最佳节节节节节节节节节(在第一个任务中提供0.8),第一个任务中提供0.8的计算,第一个任务中提供0.3号,在SIFS) 和S),在S) 和SIFSIFS的任务中需要全部任务中提供0.3期中,所有任务中提供0.3,在SLTFSLTFSBTFSLTFS的进度。