Link N G, Nathwani B N, Preston K
Department of Electrical and Computer Engineering, Carnegie-Mellon University, Pittsburgh, Pennsylvania 15213.
Anal Quant Cytol Histol. 1989 Apr;11(2):119-30.
Non-Hodgkin's lymphomas with a follicular pattern are subdivided on the basis of morphologic criteria into four subtypes. Each subtype has a distinctive natural history, response to therapy and survival, and precise histologic diagnosis is essential for optimal treatment. However, recent studies by a panel of seven expert hematopathologists showed that there was a 20% to 40% likelihood of disagreement in subtyping non-Hodgkin's follicular lymphomas; thus, the likelihood of a patient receiving inappropriate treatment is high. To resolve some of the problems relating to subjective morphologic diagnosis, we have continued to investigate the possibility of using computerized image analysis to perform automated subtyping of follicular lymphomas. In the portion of the study reported herein, a total of 37 cases were selected from the set subtyped by the panel of expert hematopathologists, and digitized images of slides from each case were processed by computer. The computer-generated subtypes were compared with those arrived at by the panel. For the cases analyzed, the computer subtyping was at least as good as, and in some instances superior to, that of most of the expert panelists.
具有滤泡型的非霍奇金淋巴瘤根据形态学标准可细分为四个亚型。每个亚型都有独特的自然病程、对治疗的反应及生存情况，准确的组织学诊断对于最佳治疗至关重要。然而，一个由七位血液病理专家组成的小组最近的研究表明，在对非霍奇金滤泡性淋巴瘤进行亚型分类时，存在20%至40%的分歧可能性；因此，患者接受不恰当治疗的可能性很高。为了解决与主观形态学诊断相关的一些问题，我们继续研究使用计算机图像分析对滤泡性淋巴瘤进行自动亚型分类的可能性。在本文报道的部分研究中，从专家血液病理学家小组已分类的病例集中选取了37例病例，并对每个病例的玻片数字化图像进行计算机处理。将计算机生成的亚型与专家小组得出的亚型进行比较。对于所分析的病例，计算机亚型分类至少与大多数专家小组成员的分类一样好，在某些情况下甚至更优。
