通过半监督学习对形态染色进行不确定性辅助虚拟免疫组化检测

IF 3.5 2区 工程技术 Q2 OPTICS Optics and Lasers in Engineering Pub Date : 2024-10-30 DOI:10.1016/j.optlaseng.2024.108657
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引用次数: 0

摘要

抑癌基因 TP53 在癌症诊断和预后中起着至关重要的作用。该基因编码肿瘤抑制蛋白 p53,在包括胃癌在内的各种癌症中,可以通过免疫组化(IHC)染色来识别 p53。然而,IHC 染色成本较高,因此不如常规苏木精-伊红(H&E)染色普遍。在本研究中,我们提出了一种基于半监督学习的方法,可直接在 H&E 染色的胃组织切片上进行 TP53 突变的免疫检测(SSID),旨在改进胃癌诊断。SSID 是在一小部分有注释的图像对和更大的未注释 H&E 染色图像数据集上进行训练的。我们通过定性评估(病理学家的平均评分为 2.22/3)和定量评估(例如,平均交叉联合平均值为 0.73)验证了我们方法的准确性。此外,我们还引入了贝叶斯不确定性来评估检测到的掩码的可信度,旨在防止误诊和不当治疗。我们的研究结果表明,SSID 可以避开昂贵而费力的 IHC 染色过程,通过免疫学检测 TP53 突变来诊断胃癌并作出预后。
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Uncertainty-assisted virtual immunohistochemical detection on morphological staining via semi-supervised learning
Tumor suppressor gene TP53 plays a crucial role in cancer diagnosis and prognosis. The gene encodes the tumor suppressor protein p53, which can be identified through immunohistochemical (IHC) staining in various cancers, including gastric carcinoma. However, IHC staining is more costly and therefore not as prevalent as routine hematoxylin-eosin (H&E) staining. In this study, we present a semi-supervised learning-based approach for immunological detection (SSID) of TP53 mutation directly on H&E-stained gastric tissue sections, intending to improve gastric cancer diagnosis. SSID is trained on a small set of annotated image pairs and a larger unannotated dataset of H&E-stained images. It can detect the regions showing strong p53 expression, indicating TP53 mutation, and we validate the accuracy of our approach through both qualitative assessment (pathologists' average score of 2.22/3) and quantitative evaluation (e.g., averaged mean Intersection-over-Union of 0.73). Moreover, we introduce Bayesian uncertainty to assess the credibility of the detected masks, aiming to prevent misdiagnosis and inappropriate treatment. Our results demonstrate that SSID can circumvent the expensive and laborious IHC staining procedures and enable the diagnosis and prognosis of gastric cancer through immunological detection of TP53 mutation.
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来源期刊
Optics and Lasers in Engineering
Optics and Lasers in Engineering 工程技术-光学
CiteScore
8.90
自引率
8.70%
发文量
384
审稿时长
42 days
期刊介绍: Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods. Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal''s scope. The scope of the journal is defined to include the following: -Optical Metrology- Optical Methods for 3D visualization and virtual engineering- Optical Techniques for Microsystems- Imaging, Microscopy and Adaptive Optics- Computational Imaging- Laser methods in manufacturing- Integrated optical and photonic sensors- Optics and Photonics in Life Science- Hyperspectral and spectroscopic methods- Infrared and Terahertz techniques
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