RAM-H1200：手部放射影像中类风湿性关节炎的统一评估与数据集
RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis
AI总结：
本文提出RAM-H1200数据集，用于评估模型在手部放射影像中联合捕捉解剖结构、局部侵蚀性病变和临床标准化RA严重程度的能力，包含1200张放射影像及多级标注。
摘要：
类风湿性关节炎（RA）评估需多级分析和建模解剖结构及细微局部病理变化。然而现有公开资源不支持统一多级分析，常缺乏全手覆盖、细粒度标注和与临床评分系统的一致整合。特别是能够进行骨侵蚀（BE）定量分析的标注仍稀缺。RAM-H1200包含来自六个医疗中心的1200张手部放射影像，包含多级标注：（i）全手骨结构实例分割，（ii）像素级BE掩码，（iii）SvdH定义的感兴趣区域，以及（iv）BE和关节间隙狭窄（JSN）的关节级SvdH评分。其旨在评估模型能否联合捕捉手部放射影像中的解剖结构、局部侵蚀性病变和临床标准化RA严重程度。所提出的BE掩码首次通过提供显式空间监督实现超越粗粒度分类的BE分析。据我们所知，RAM-H1200是首个公开的大规模基准，同时支持全手骨结构实例分割、像素级BE勾勒以及临床基础的关节级SvdH评分。在基准任务中的结果表明，解剖建模比定量BE分析更成熟：全手骨分割表现强劲，而BE分割仍是一个主要开放挑战。通过统一解剖结构建模、定量病变分析和临床基础的SvdH评分，RAM-H1200提供了一个全面的RA分析单一基准。
英文摘要：
Rheumatoid arthritis (RA) assessment from hand radiographs requires multi-level analysis and modeling of anatomical structures and fine-grained local pathological changes. However, existing public resources do not support such unified multi-level analysis, often lacking full-hand coverage, fine-grained annotations, and consistent integration with clinical scoring systems. In particular, annotations that enable quantitative analysis of bone erosion (BE) remain scarce. RAM-H1200 contains 1,200 hand radiographs collected from six medical centers, with multi-level annotations including (i) whole-hand bone structure instance segmentation, (ii) pixel-level BE masks, (iii) SvdH-defined joint regions of interest, and (iv) joint-level SvdH scores for both BE and joint space narrowing (JSN). It is designed to evaluate whether models can jointly capture anatomical structure, localized erosive pathology, and clinically standardized RA severity from hand radiographs. The proposed BE masks enable, for the first time, quantitative BE analysis beyond coarse categorical grading by providing explicit spatial supervision for lesion extent and morphology. To our knowledge, RAM-H1200 is the first public large-scale benchmark that jointly supports whole-hand bone structure instance segmentation, pixel-level BE delineation, and clinically grounded joint-level SvdH scoring for both BE and JSN. Results across benchmark tasks show that anatomical modeling is substantially more mature than quantitative BE analysis: whole-hand bone segmentation achieves strong performance, whereas BE segmentation remains a major open challenge. By unifying anatomical structure modeling, quantitative lesion analysis, and clinically grounded SvdH scoring, RAM-H1200 provides a single benchmark for comprehensive RA analysis on hand radiographs.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
