MR-USガイド前立腺針生検における位置特定不確実性を明示的にモデル化した確率的組織分類指標
Matthew Muscat1, Juanita Crook2, Andrew Jirasek3
1The University of British Columbia Okanagan, 3333 University Way, Kelowna, British Columbia, V1V 1V7, CANADA.
Physics in medicine and biology
|January 23, 2026
まとめ
本研究は、前立腺生検のための新しい確率的フレームワークを導入し、組織サンプリング精度を向上させ、計画と品質保証のための詳細な指標を提供する。この手法は、MR情報に基づいたUSガイド下の手順における精度を向上させる。
背景:
- MR-informed, US-guided transperineal prostate biopsies require precise localization for accurate tissue sampling.; Existing methods may not fully account for localization uncertainty, impacting biopsy planning and quality assurance.; Developing spatially resolved metrics is crucial for improving diagnostic yield and biological research.
結論:
- The framework translates localization uncertainty into interpretable, millimetre-scale tissue sampling metrics.; These metrics can enhance pre-procedure planning, intra-procedural guidance, and clinical QA.; The approach provides spatially contextualized data for downstream biological assays and has a clear path for validation.
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