{"title":"建立囊肿及囊性肿瘤模拟组织模型的初步研究。","authors":"Bin Li, Xiaoguang Li","doi":"10.4103/jcrt.jcrt_2060_22","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>The present experimental models of cystic diseases are not adequate and require further investigation.</p><p><strong>Aim: </strong>In this study, a new way of producing a tissue-mimicking model of cysts and cystic neoplasms was evaluated.</p><p><strong>Settings and design: </strong>To simulate cysts and cystic neoplasms, ex vivo rabbit normal bladders and VX2-implanted tumor bladders were produced, fixed, and embedded in agarose gel.</p><p><strong>Methods and materials: </strong>The samples were classified into four groups based on tumor features and the maximal transverse diameter of the rabbit bladder, which were assessed using computer tomography (CT) imaging and statistically analyzed.</p><p><strong>Statistical analysis used: </strong>Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software. The t-test was used for analyzing enumeration data.</p><p><strong>Results: </strong>Twenty-one rabbit bladders (21/24) were successfully removed and prepped for this experiment, comprising eleven normal bladders (11/24) and ten implanted with VX2 tumors (10/24). The gelling ingredient used to form the visualization and fixation matrix was agarose at a concentration of 4 g/200 mL. The temperature of the agarose solution was kept constant at 40-45°C, which is the optimal temperature range for ex vivo normal bladder and implanted VX2 tumor bladder insertion. The average time required to embed and fix the bladders in agarose gel was 45.0 ± 5.2 minutes per instance. The gel-fixing matrix's strength and light transmittance were enough for building the models.</p><p><strong>Conclusion: </strong>We created an experimental tissue-mimicking model of cysts and cystic neoplasms with stable physicochemical features, a safe manufacturing method, and high repeatability. These models may be used to assist with cystic lesion diagnosis and treatment techniques.</p>","PeriodicalId":15208,"journal":{"name":"Journal of cancer research and therapeutics","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A preliminary study on the establishment of a cyst and cystic neoplasm tissue-mimicking model.\",\"authors\":\"Bin Li, Xiaoguang Li\",\"doi\":\"10.4103/jcrt.jcrt_2060_22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>The present experimental models of cystic diseases are not adequate and require further investigation.</p><p><strong>Aim: </strong>In this study, a new way of producing a tissue-mimicking model of cysts and cystic neoplasms was evaluated.</p><p><strong>Settings and design: </strong>To simulate cysts and cystic neoplasms, ex vivo rabbit normal bladders and VX2-implanted tumor bladders were produced, fixed, and embedded in agarose gel.</p><p><strong>Methods and materials: </strong>The samples were classified into four groups based on tumor features and the maximal transverse diameter of the rabbit bladder, which were assessed using computer tomography (CT) imaging and statistically analyzed.</p><p><strong>Statistical analysis used: </strong>Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software. 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引用次数: 0
摘要
背景:目前囊性疾病的实验模型是不充分的,需要进一步研究。目的:探讨一种制备囊肿及囊性肿瘤模拟组织模型的新方法。设置和设计:模拟囊肿和囊性肿瘤,制备兔离体正常膀胱和vx2植入肿瘤膀胱,固定并包埋琼脂糖凝胶。方法与材料:根据肿瘤特征及兔膀胱最大横径分为4组,采用计算机断层扫描(CT)成像进行评估并进行统计学分析。采用的统计分析:采用SPSS (Statistical Package for Social Sciences)软件进行统计分析。采用t检验对枚举数据进行分析。结果:成功摘除21只兔膀胱(21/24),其中11只正常膀胱(11/24)和10只植入VX2肿瘤的膀胱(10/24)。形成可视化和固定基质的胶凝成分为琼脂糖,浓度为4 g/200 mL。琼脂糖溶液温度保持在40-45℃,这是离体正常膀胱和植入VX2肿瘤膀胱的最佳温度范围。在琼脂糖凝胶中嵌入和固定膀胱的平均时间为45.0±5.2分钟/例。凝胶固定基质的强度和透光率足以建立模型。结论:我们建立了一种物理化学特征稳定、制作方法安全、重复性高的囊肿和囊性肿瘤模拟组织实验模型。这些模型可用于辅助囊性病变的诊断和治疗技术。
A preliminary study on the establishment of a cyst and cystic neoplasm tissue-mimicking model.
Context: The present experimental models of cystic diseases are not adequate and require further investigation.
Aim: In this study, a new way of producing a tissue-mimicking model of cysts and cystic neoplasms was evaluated.
Settings and design: To simulate cysts and cystic neoplasms, ex vivo rabbit normal bladders and VX2-implanted tumor bladders were produced, fixed, and embedded in agarose gel.
Methods and materials: The samples were classified into four groups based on tumor features and the maximal transverse diameter of the rabbit bladder, which were assessed using computer tomography (CT) imaging and statistically analyzed.
Statistical analysis used: Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software. The t-test was used for analyzing enumeration data.
Results: Twenty-one rabbit bladders (21/24) were successfully removed and prepped for this experiment, comprising eleven normal bladders (11/24) and ten implanted with VX2 tumors (10/24). The gelling ingredient used to form the visualization and fixation matrix was agarose at a concentration of 4 g/200 mL. The temperature of the agarose solution was kept constant at 40-45°C, which is the optimal temperature range for ex vivo normal bladder and implanted VX2 tumor bladder insertion. The average time required to embed and fix the bladders in agarose gel was 45.0 ± 5.2 minutes per instance. The gel-fixing matrix's strength and light transmittance were enough for building the models.
Conclusion: We created an experimental tissue-mimicking model of cysts and cystic neoplasms with stable physicochemical features, a safe manufacturing method, and high repeatability. These models may be used to assist with cystic lesion diagnosis and treatment techniques.
期刊介绍:
The journal will cover technical and clinical studies related to health, ethical and social issues in field of Medical oncology, radiation oncology, medical imaging, radiation protection, non-ionising radiation, radiobiology. Articles with clinical interest and implications will be given preference.