Gaudio Francesco, Tamma Roberto, Ingravallo Giuseppe, Perrone Tommasina, Laddaga Filomena Emanuela, De Candia Mariastella, Maiorano Eugenio, Ribatti Domenico, Specchia Giorgina
Department of Emergency and Organ Transplantation (D.E.T.O.), Hematology Section, University of Bari, Bari, Italy.
Department of Basic Medical Sciences, Neurosciences and Sensory Organs, University of Bari, Bari, Italy.
Ann Hematol. 2018 Apr;97(4):663-668. doi: 10.1007/s00277-017-3212-6. Epub 2018 Jan 23.
Diffuse large B cell lymphoma (DLBCL) is recognized as the most common non-Hodgkin lymphoma subtype. Advanced high-resolution digital scans of pathology slides have enabled the development of computer-based image analysis algorithms that may assist pathologists in quantifying immunohistochemical stains. In this retrospective study, we reviewed data from 29 patients affected by DLBCL. In order to evaluate the number of tumor cells and microenvironment T cells, we performed an analysis of CD20, Ki67, and CD3 counts, assessed with the Positive Pixel Count algorithm embedded in the Aperio ImageScope software. A lower tumor cell count was observed in patients with a non-germinal center immunophenotype, high LDH, splenomegaly and an IPI ≥ 3. A lower number of CD3 was observed in patients with bulky disease, an IPI ≥ 3 and disease stage 3-4. Overall, these data confirm that quantitative analysis of the tumor cells and of the tumor microenvironment by means of computer-driven quantitative image analysis may add new information in DLBCL diagnosis.
弥漫性大B细胞淋巴瘤（DLBCL）被认为是最常见的非霍奇金淋巴瘤亚型。先进的高分辨率病理切片数字扫描技术推动了基于计算机的图像分析算法的发展，这些算法可能有助于病理学家对免疫组化染色进行定量分析。在这项回顾性研究中，我们回顾了29例DLBCL患者的数据。为了评估肿瘤细胞和微环境T细胞的数量，我们使用Aperio ImageScope软件中嵌入的阳性像素计数算法对CD20、Ki67和CD3计数进行了分析。在具有非生发中心免疫表型、高乳酸脱氢酶、脾肿大且国际预后指数（IPI）≥3的患者中观察到较低的肿瘤细胞计数。在有大包块病变、IPI≥3且疾病分期为3 - 4期的患者中观察到较低的CD3数量。总体而言，这些数据证实，通过计算机驱动的定量图像分析对肿瘤细胞和肿瘤微环境进行定量分析可能会为DLBCL诊断增添新信息。
