Scholarlink

<p>Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation and conventional ultrasound has 20–30% error. This study validates tracked freehand ultrasound with attention-based point cloud completion for kidney volumetry, with the primary objective of determining equivalence to computed tomography within a ± 2% margin. Sixty healthy volunteers (30 male, 30 female; mean age 44&#xa0;years; enrolled March–August 2024; 120 kidneys) undergoing routine health examination computed tomography underwent electromagnetic-tracked ultrasound using three standardized scanning maneuvers and same-day computed tomography. Sparse point clouds from ultrasound were completed using an attention-based transformer network (PointAttN) and four benchmark architectures. Volumes were compared against computed tomography using equivalence testing on per-kidney relative differences within a ± 2% margin. Tracked freehand ultrasound achieved mean absolute error of 3.94&#xa0;mL (3.0% relative error) in multiaxis merged mode and passed statistical equivalence testing (TOST: <i>p</i><sub>1</sub> &lt; 0.001, <i>p</i><sub>2</sub> = 0.043). Single-axis scanning failed equivalence testing across all methods with 2–4 times higher errors. Tracked freehand ultrasound with attention-based point cloud completion demonstrates kidney volume measurement accuracy approaching CT-level precision in healthy volunteers, passing formal statistical equivalence testing within a 2% margin. These algorithm-based results require validation in clinical populations with renal pathology and comparison with radiologist assessment before broader deployment. Multiaxis scanning is necessary for clinical accuracy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound

  • 期刊论文

  • 发表日期：

    2026年5月20日

查看全文
  • Sikai Ge,
  • Wuwei Ma,
  • Hao Tang,
  • Menglin Wu,
  • Shanshan Wang,
  • Junwei Wu,
  • Fei Ma,
  • Xuejun Shang

摘要

Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation and conventional ultrasound has 20–30% error. This study validates tracked freehand ultrasound with attention-based point cloud completion for kidney volumetry, with the primary objective of determining equivalence to computed tomography within a ± 2% margin. Sixty healthy volunteers (30 male, 30 female; mean age 44 years; enrolled March–August 2024; 120 kidneys) undergoing routine health examination computed tomography underwent electromagnetic-tracked ultrasound using three standardized scanning maneuvers and same-day computed tomography. Sparse point clouds from ultrasound were completed using an attention-based transformer network (PointAttN) and four benchmark architectures. Volumes were compared against computed tomography using equivalence testing on per-kidney relative differences within a ± 2% margin. Tracked freehand ultrasound achieved mean absolute error of 3.94 mL (3.0% relative error) in multiaxis merged mode and passed statistical equivalence testing (TOST: p1 < 0.001, p2 = 0.043). Single-axis scanning failed equivalence testing across all methods with 2–4 times higher errors. Tracked freehand ultrasound with attention-based point cloud completion demonstrates kidney volume measurement accuracy approaching CT-level precision in healthy volunteers, passing formal statistical equivalence testing within a 2% margin. These algorithm-based results require validation in clinical populations with renal pathology and comparison with radiologist assessment before broader deployment. Multiaxis scanning is necessary for clinical accuracy.