ISCRC dataset: <b>I</b>mmuno<b>S</b>core evaluation in <b>C</b>olo<b>R</b>ectal <b>C</b>ancer patients.

In the realm of cancer research, specifically focusing on colorectal carcinomas (CRC), a novel diagnostic test referred to as "Immunoscore" (IS) has emerged. This test relies on assessing the density of tumour-infiltrating lymphocytes (TILs), specifically CD3 and CD8, in both the central area of the tumour (CT) and its invasive margin (IM). Immunoscore holds promise as a potential prognostic factor. A retrospective descriptive study was conducted within the Pathology Department of Habib Thameur Hospital in Tunis. The study's aim was to evaluate the prognostic efficacy of IS for patients with CRC by means of a comprehensive survival analysis.This publication introduces the ISCRC dataset, which was meticulously compiled during the aforementioned study. The ISCRC dataset comprises digital slide images sourced from biopsies of 104 patients diagnosed with colorectal cancer. Using the Tissue Microarray (TMA) technique, an immunohistochemical investigation involving anti-CD3 and anti-CD8 markers was performed in regions designated as "Hot Spots" within the CT and IM. Each marker's percentage presence within its respective region was quantified. Subsequently, density classifications—"Low" or "High"—were assigned based on a predefined median percentage threshold. The IS was estimated utilizing a semi-quantitative method. The ISCRC dataset encompasses anonymized personal data, along with macroscopic and microscopic attributes.This openly accessible dataset is poised to play a pivotal role in advancing both computer-aided diagnosis and research endeavours pertaining to colorectal cancer.在癌症研究领域，针对结直肠癌（colorectal carcinomas, CRC）的相关方向中，一种被称为“免疫评分（Immunoscore, IS）”的新型诊断检测方法已然兴起。该检测依托对肿瘤中心区域（CT）与侵袭边缘（IM）内的肿瘤浸润淋巴细胞（tumour-infiltrating lymphocytes, TILs）——尤其是CD3与CD8细胞——的密度评估，具备成为潜在预后因子的应用前景。 本研究于突尼斯哈比·塔穆尔医院病理科开展，属于回顾性描述性研究，旨在通过全面生存分析，评估免疫评分对结直肠癌患者的预后效能。 本出版物所介绍的ISCRC数据集，正是在上述研究中精心整理所得。该数据集包含104名结直肠癌确诊患者活检组织的数字切片图像。研究采用组织微阵列（Tissue Microarray, TMA）技术，针对肿瘤中心区域与侵袭边缘的“热点”区域开展抗CD3与抗CD8标记的免疫组化检测，并量化各标记在对应区域内的阳性表达百分比。随后基于预设的中位数百分比阈值，将各区域的淋巴细胞密度划分为“低”或“高”两个等级。本研究采用半定量方法估算免疫评分。ISCRC数据集涵盖匿名化个人数据、大体及微观组织特征。 该公开可获取数据集，有望为结直肠癌相关的计算机辅助诊断与研究工作发挥关键推动作用。