Image-based Automated Counting of Plasma Cells and Marrow Cellularity in Core Marrow Biopsies

基于图像的核心骨髓活检中浆细胞和骨髓细胞结构的自动计数

• 批准号: 8952880
• 负责人: Raul Braylan
• 金额: --
• 依托单位: CLINICAL CENTER
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8952880
• 关键词: Affect; Algorithms; American; Antibodies; Aspirate substance; Biopsy; Blast Cell; Blood; Blood Cells; Bone Marrow; Bone Marrow Examination; Bone Marrow Involvement; Bone Tissue; Bone marrow biopsy; Cancerous; Cell Count; Cells; Cellularity; Computer software; Core Biopsy; Correlation Studies; Data; Diagnosis; Disease; Evaluation; Goals; Hematologic Neoplasms; Histologic; Image; Image Analysis; Laboratories; Leukemic Cell; Leukocytes; Lymphocyte; Malignant Neoplasms; Manuals; Marrow; Measures; Methods; Microscopic; Multiple Myeloma; Neoplasms; Pathologist; Pathology; Performance; Plasma Cells; Population; Preparation; Procedures; Process; Production; Proteins; RNA; Reagent; Sampling; Staining method; Stains; Stromal Cells; Technology; Testing; Time; Tumor Burden; base; bone; cancer diagnosis; cell type; college; diagnosis evaluation; digital imaging; experience; improved; interest; meetings; posters; response; tissue preparation

Plasma cells (PC) are a type of white blood cell that is normally responsible for producing antibodies. When PC become cancerous they accumulate in the bone marrow, where they interfere with the production of normal blood cells and destroy bone. The most aggressive form of these cancers is called Multiple Myeloma, which is the second most common hematological malignancy in the U.S. and constitutes 1% of all cancers. One of the most valuable procedures used in the diagnosis of these cancers and determination of tumor load is a bone marrow examination. This procedure consists of obtaining aspirates and bone biopsies where pathologists examine microscopic preparations and estimate the number of PC present. This number is currently a required criterion for diagnosis of PC neoplasias and also evaluation of response to therapy. However, current microscopic methods for the quantitation of PC lack precision. The counts in the aspirates are affected by blood contamination and estimations based on bone tissue preparations are somewhat subjective and at best semi-quantitative. Also, the total marrow cellularity, which is valuable in assessing numerous hematologic conditions, is evaluated semi-quantitatively. To facilitate these counts and improve accuracy and precision, we developed digital image-based software to perform a rapid quantitation of PC and marrow cellularity in bone marrow biopsies. The initial evaluation of this software provided excellent results and we are performing additional testing to further validating it. A similar approach used for PC could be extended to the analysis of other cell types such as leukemic cells, lymphocytes, or cells of other lineages.

浆细胞（PC）是一种白色血细胞，通常负责产生抗体。 当PC变成癌细胞时，它们在骨髓中积累，在那里它们干扰正常血细胞的产生并破坏骨骼。 这些癌症中最具侵袭性的形式称为多发性骨髓瘤，这是美国第二常见的血液恶性肿瘤，占所有癌症的1%。 用于诊断这些癌症和确定肿瘤负荷的最有价值的程序之一是骨髓检查。 该程序包括获得抽吸物和骨活检，其中病理学家检查显微镜制备物并估计存在的PC数量。该数值目前是诊断PC肿瘤和评价治疗反应的必要标准。 然而，目前用于定量PC的显微镜方法缺乏精确度。 抽吸物中的计数受血液污染的影响，基于骨组织制备的估计有些主观，最多是半定量的。 此外，总骨髓细胞，这是有价值的评估许多血液条件，是半定量评估。 为了促进这些计数并提高准确性和精确度，我们开发了基于数字图像的软件来快速定量骨髓活检中的PC和骨髓细胞。 该软件的初步评估提供了出色的结果，我们正在进行额外的测试，以进一步验证它。用于PC的类似方法可以扩展到其他细胞类型的分析，如白血病细胞，淋巴细胞或其他谱系的细胞。