首页> 外文期刊>Modern Pathology >Comparison of Pathologist-Detected and Automated Computer-Assisted Image Analysis Detected Sentinel Lymph Node Micrometastases in Breast Cancer
【24h】

Comparison of Pathologist-Detected and Automated Computer-Assisted Image Analysis Detected Sentinel Lymph Node Micrometastases in Breast Cancer

机译:病理学家检测和自动计算机辅助图像分析检测到的乳腺癌前哨淋巴结微转移的比较。

获取原文
           

摘要

Sentinel lymph node biopsy has stimulated interest in identification of micrometastatic disease in lymph nodes, but identifying small clusters of tumor cells or single tumor cells in lymph nodes can be tedious and inaccurate. The optimal method of detecting micrometastases in sentinel nodes has not been established. Detection is dependent on node sectioning strategy and the ability to locate and confirm tumor cells on histologic sections. Immunohistochemical techniques have greatly enhanced detection in histologic sections; however, comparison of detection methodology has not been undertaken. Automated computer-assisted detection of candidate tumor cells may have the potential to significantly assist the pathologist. This study compares computer-assisted micrometastasis detection with routine detection by a pathologist. Cytokeratin-stained sentinel lymph node sections from 100 patients at the University of Vermont were evaluated by automated computer-assisted cell detection. Based on original routine light microscopy screening, 20 cases that were positive and 80 cases that were negative for micrometastases were selected. One-level (43 cases) or two-level (54 cases) cytokeratin-stained sections were examined per lymph node block. All 100 patients had previously been classified as node negative by using routine hematoxylin and eosin stained sections. Technical staining problems precluded computer-assisted cell detection scanning in three cases. Computer-assisted cell detection detected 19 of 20 (95.0%; 95% confidence interval, 75–100%) cases positive by routine light microscopy. Micrometastases missed by computer-assisted cell detection were caused by cells outside the instrument's scanning region. Computer-assisted cell detection detected additional micrometastases, undetected by light microscopy, in 8 of 77 (10.4%; 95% confidence interval, 5–20%) cases. The computer-assisted cell detection–positive, light microscopy–missed detection rate was similar for cases with one (3 of 30; 10.0%) or two (5 of 47; 10.6%) cytokeratin sections. Metastases detected by routine light microscopy tended to be larger (0.01–0.50 mm) than did metastases detected only by computer-assisted cell detection (0.01–0.03 mm). In a selected series of patients, automated computer-assisted cell detection identified more micrometastases than were identified by routine light microscopy screening of cytokeratin-stained sections. Computer-assisted detection of events that are limited in number or size may be more reliable than detection by a pathologist using routine light microscopy. Factors such as human fatigue, incomplete section screening, and variable staining contribute to missing metastases by routine light microscopy screening. Metastases identified exclusively by computer-assisted cell detection tend to be extremely small, and the clinical significance of their identification is currently unknown.
机译:前哨淋巴结活检激发了人们对识别淋巴结微转移性疾病的兴趣,但是识别淋巴结中的小肿瘤细胞簇或单个肿瘤细胞可能是乏味且不准确的。还没有建立检测前哨淋巴结微转移的最佳方法。检测取决于结节切片策略以及在组织切片上定位和确认肿瘤细胞的能力。免疫组织化学技术极大地增强了组织切片的检测;但是,尚未进行检测方法的比较。自动化计算机辅助检测候选肿瘤细胞可能具有显着帮助病理医生的潜力。这项研究将计算机辅助的微转移检测与病理学家的常规检测进行了比较。通过自动计算机辅助细胞检测评估了来自佛蒙特大学的100例患者的细胞角蛋白染色的前哨淋巴结切片。在常规常规光学显微镜检查的基础上,选择了20例微转移阳性和80例微转移阴性的患者。每个淋巴结阻滞检查一级(43例)或二级(54例)细胞角蛋白染色切片。通过常规的苏木精和曙红染色切片,所有100例患者先前均被分类为淋巴结阴性。技术上的染色问题使计算机辅助细胞检测扫描无法进行三种情况。计算机辅助细胞检测通过常规光学显微镜检出20例阳性中的19例(95.0%; 95%置信区间,75–100%)。计算机辅助细胞检测错过的微小转移是由仪器扫描区域之外的细胞引起的。计算机辅助细胞检测在77例病例中有8例(10.4%; 95%置信区间为5-20%)中检测到了其他显微转移,而光学显微镜未检测到。对于具有一个(30个中的3个; 10.0%)或两个(4个中的5个; 10.6%)细胞角蛋白切片的病例,计算机辅助细胞检测(阳性,光学显微镜)的漏检率相似。常规光学显微镜检测到的转移灶(0.01–0.50 mm)比仅通过计算机辅助细胞检测(0.01–0.03 mm)检测到的转移灶大。在选定的一系列患者中,自动计算机辅助细胞检测比细胞角蛋白染色切片的常规光镜检查所鉴定出的转移灶更多。由计算机辅助检测数量或大小受限制的事件可能比由病理学家使用常规光学显微镜进行的检测更为可靠。诸如人体疲劳,切片检查不完整和染色变化等因素可通过常规光学显微镜检查导致转移缺失。仅通过计算机辅助细胞检测鉴定出的转移瘤往往非常小,目前尚不清楚其鉴定的临床意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号