发表机构
Detroit Medical Center; Wayne State University（底特律医疗中心; 韦恩州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出CTSpinoPelvic1K数据集，将脊柱、骨盆、肋骨和股骨统一到同一坐标框架，用于解决腰骶移行椎的计数歧义，并提供802例CT标注及验证方法，支持椎骨分类和脊柱骨盆评估。
AI 中文摘要
目的：腰骶交界处的椎骨是通过在全脊柱影像上从C2向尾侧计数来命名的，但腰椎病例是在仅包含腰椎的影像（T12至S1）上进行规划的，没有C2。腹盆腔CT涵盖了该范围以及最下方的肋骨和骨盆。当腰骶移行椎（LSTV）改变计数时，局部解剖结构变得模糊：四个无肋椎骨可能是带有腰椎肋的L1，也可能是与骶骨融合的L5；六个无肋椎骨可能是第六腰椎、带有发育不全肋骨的T12，或腰化的S1。CTSpinoPelvic1K旨在探究局部形态学是否能在不依赖计数的情况下解决这一歧义。CTSpine1K的椎骨和CTPelvic1K的骨盆覆盖了这些患者，但从未被联合起来；本次发布将它们在同一序列上联合，并添加了两者均未包含的骨骼。它提供了802个CT记录，包含逐层肋骨和股骨，各层锚定在最下方带肋椎骨和S1上，并包含L6、T13、独立S1和腰椎肋的类别，因此异常被如实记录。采集与验证方法：记录在VerSe原生方案下，将每个患者骨骼最丰富的序列上的CTSpine1K和CTPelvic1K标签配对。验证涵盖了几何不变量（802/802通过）、5,749根肋骨的肋-椎发生率的偏移（0.035%），以及脊柱骨盆测量值与已发表值匹配。数据格式与使用说明：NIfTI图像/标签对，带有按患者分组的LSTV分层五折划分和一个加载器；存档于该https URL。潜在应用：从局部特征对椎骨进行分类；更新尸体形态测量学；脊柱骨盆评估；机会性筛查；以及在缺乏公开的术前腰椎队列的情况下，进行手术规划研究（377条记录为俯卧位）。局限性：胸部金标准受视野限制；姿势角度为仰卧位；无保留测试集；肋骨为分诊审查伪标签；Castellvi分级为33条记录的双读者共识。
英文摘要
Purpose: A vertebra at the lumbosacral junction is named by counting caudally from C2 on whole-spine imaging, but a lumbar case is planned on lumbar-only imaging (T12 to S1), without C2. Abdominopelvic CT holds that span plus the lowest ribs and pelvis. Where a lumbosacral transitional vertebra (LSTV) alters the count, the local anatomy is ambiguous: four rib-free vertebrae may be an L1 with a lumbar rib or an L5 assimilated to the sacrum, and six may be a sixth lumbar vertebra, a T12 with aplastic ribs, or a lumbarized S1. CTSpinoPelvic1K asks whether local morphology resolves it without the count. CTSpine1K's vertebrae and CTPelvic1K's pelvis covered these patients but were never joined; this release joins them on one series and adds the bones neither had. It provides 802 CT records with per-level ribs and femora, levels anchored on the lowest rib-bearing vertebra and S1, and classes for L6, T13, a separate S1 and lumbar ribs, so anomalies are recorded as such. Acquisition and Validation Methods: Records pair CTSpine1K and CTPelvic1K labels on each patient's bone-richest series under a VerSe-native scheme. Validation covered geometric invariants (802/802 pass), rib-vertebra incidence across 5,749 ribs (0.035% offset), and spinopelvic measures matching published values. Data Format and Usage Notes: NIfTI image/label pairs with patient-grouped LSTV-stratified five-fold splits and a loader; archived at https://doi.org/10.5281/zenodo.22139642. Potential Applications: Classifying a vertebra from local features; updating cadaveric morphometry; spinopelvic assessment; opportunistic screening; and, absent a public preoperative lumbar cohort, surgical planning research (377 records prone). Limitations: thoracic ground truth is field-of-view limited; postural angles supine; no held-out test set; ribs are triaged-review pseudolabels; Castellvi grades two-reader consensus on 33 records.
Comments14 pages, 6 figures, 6 tables. Dataset (802 annotated CT records, CC BY-NC-SA 4.0) at https://doi.org/10.5281/zenodo.22139642; code at https://github.com/OpenSpineConsortium/CTSpinoPelvic1K. Submitted to Medical Physics as a Medical Physics Dataset Article
