Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis.
University of Minnesota Medical School, Minneapolis.
Am J Clin Pathol. 2019 Nov 4;152(6):757-765. doi: 10.1093/ajcp/aqz101.
Current protocols for processing multiple prostate biopsy cores per case are uneconomical and cumbersome. Tissue fragmentation and loss compromise cancer diagnosis. We sought to study an alternate method to improve processing and diagnosis of prostate cancer.
Two sets of sextant biopsy specimens from near-identical locations were obtained ex vivo from 48 prostate specimens. One set was processed in the standard fashion while the other was processed using the BxChip, a proprietary biomimetic matrix that accommodates six cores on a single chip. Parameters including grossing, embedding, sectioning and reading time, length of tissue, and degree of fragmentation were compared.
A significant reduction (more than threefold) in preanalytical and analytical time was observed using the multiplex method. Nonlinear fragmentation was absent, in contrast to standard processing.
The BxChip reduced tissue fragmentation and increased efficiency of prostate biopsy diagnosis. It also resulted in overall cost savings and significantly increased tissue length.
目前每例处理多个前列腺活检核心的方案既不经济，也繁琐。组织碎片化和丢失会影响癌症诊断。我们试图研究一种替代方法来改善前列腺癌的处理和诊断。
从 48 个前列腺标本中获得了两组来自近乎相同位置的六分法活检标本。一组按照标准方式处理，另一组则使用 BxChip 处理，BxChip 是一种专有的仿生基质，可以在单个芯片上容纳六个核心。比较了总检、包埋、切片和阅读时间、组织长度和碎片化程度等参数。
使用多路复用方法，预处理和分析时间显著减少（超过三倍）。与标准处理相比，不存在非线性碎片化。
BxChip 减少了组织碎片化，提高了前列腺活检诊断的效率。它还节省了总体成本，并显著增加了组织长度。
