手术中CBCT成像应追求数据充分性，而非盲目追求完整数据。
From Data Completeness to Data Sufficiency: A Task-Driven Imaging Framework for Intraoperative CBCT under Quality-Time-Dose Trade-offs
- 用任务导向的最小质量阈值替代数学完整数据要求
- 在质量-时间-剂量三者间实现临床可接受的平衡
- 适合关注术中影像效率与安全的临床医生和工程师
移动式C臂锥束计算机断层扫描（CBCT）广泛用于术中实时三维成像。然而，当前实践常机械套用扇形束CT的“180°加扇角”准则以追求“数据完整性”，这在单圆轨迹三维锥束几何下数学上不可达；且盲目增加采样会加剧图像质量（Q）、成像时间（T）和辐射剂量（D）之间的权衡。本文提出应从“数据完整性”转向“数据充分性”的评价框架，不再过度追求绝对数学精度，而是聚焦于临床决策所需的任务特定最低图像质量阈值。通过整合多临床场景证据，本文指出：只要满足临床决策需求，近似误差可被接受，从而实现Q-T-D的合理平衡。
原文摘要 · Abstract (English)
Mobile C-arm cone-beam computed tomography (CBCT) has been widely used for real-time intraoperative 3D imaging. However, current practice often mechanically applies the fan-beam CT criterion of "180° plus fan angle" in pursuit of "data completeness" in reconstruction. This review argues that, under the single circular trajectory of three-dimensional cone-beam geometry, complete data are mathematically unattainable; moreover, blindly increasing sampling may exacerbate the trade-off among intraoperative image quality (Q), imaging time (T), and radiation dose (D). Against this background, this review reframes the evaluation of intraoperative CBCT around "data sufficiency" rather than "data completeness." This perspective moves beyond the excessive pursuit of absolute mathematical and analytic accuracy, and instead emphasizes task-specific minimum image-quality thresholds required for clinical decision-making. By synthesizing evidence from multiple clinical scenarios, this review suggests that approximation errors can be acceptable when clinical decision-making requirements are satisfied, thereby achieving a Q-T-D balance.
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