结直肠癌（CRC）是第三种最常见的癌症类型。涉及CRC发展的一个主要途径是齿状途径。结直肠息肉可以分为良性，如小的增生性息肉，和恶性，如颗粒状齿状腺瘤（SSA），其具有显著的恶性转化潜力。这些类型息肉之间的形态相似性，往往引起诊断困难。本研究旨在使用傅里叶变换组织学图像的自动化计算纹理分析，在形态上区分增生性息肉（HP）和SSA。电脑纹理分析对30张HP和58张SSA图像进行分析。将快速傅立叶变换应用于图像。傅里叶频率图进一步转换为灰度共生矩阵，并提取四个纹理变量：熵、相关性、对比度和均匀性。我们的研究是第一次结合这种分析方法进行结肠肿瘤的自动分类。使用统计和神经网络（NNET）分类模型分析结果。比较这些分类器的预测价值。统计回归算法具有95%的灵敏度来检测SSA，具有80%的特异性来检测HP。NNET分析优于统计分析，显示出100%的分类准确率。本研究的结果证实了傅里叶纹理图像分析对区分HP和SSA有帮助的假设。研究亮点：结直肠息肉可以分为良性的增生性息肉（HP）和恶性的颗粒状齿状腺瘤（SSA）。这两种类型息肉之间存在高度形态相似性，往往引起诊断困难。我们的形态计量分析结果用于构建基于神经网络的模型来预测息肉类型，对于鉴定有显著恶性转化潜力的SSA腺瘤有很大的临床意义，与HP相比有显著区别。© 2023 Wiley Periodicals LLC.

Colorectal cancer (CRC) is the third most common type of cancer. One major pathway involved in the development of CRC is the serrated pathway. Colorectal polyps can be divided in benign, like small hyperplastic polyps and premalignant polyps, like the sessile serrated adenomas (SSA) that has a significant potential of malignant transformation. The morphological similarity between these types of polyp, not-infrequently raises diagnostic difficulties. This study aimed to morphologically differentiate between hyperplastic polyps (HP) and SSAs by using automated computerized texture analysis of Fourier transformed histological images. Thirty images of HP and 58 images of SSA were analyzed by computerized texture analysis. A fast Fourier transformation was applied to the images. The Fourier frequency plots were further transformed into gray level co-occurrence matrices and four textural variables were extracted: entropy, correlation, contrast, and homogeneity. Our study is the first to combine this type of analysis for automated classification of colonic neoplasia. The results were analyzed using statistical and neural network (NNET) classification models. The predictive values of these classifiers were compared. The statistical regression algorithm presented a sensitivity of 95% to detect the SSA and a specificity of 80% to detect the HP. The NNET analysis was superior to the statistical analysis displaying a classification accuracy of 100%. The results of this study have confirmed the hypothesis that Fourier based texture image analysis is helpful in differentiating between HP and SSA. RESEARCH HIGHLIGHTS: Colorectal polyps can be divided in benign, like hyperplastic polyps (HP) and premalignant, like the sessile serrated adenomas (SSA). There is a high morphologic similarity between these two types of polyp that not-infrequently raises diagnostic difficulties. The results of our morphometric analysis that were used to build a neural network based model of prediction of the polyp types, have a great clinical importance of identifying SSA polyps which have significant potential of malignant progression as compared to HP.© 2023 Wiley Periodicals LLC.