| 吴梦云,李炜,张华东,等.半自动化识别人外周血核质桥的剂量-效应曲线建立与初步验证[J].中华放射医学与防护杂志,2026,46(7):656-661.Wu Mengyun,Li Wei,Zhang Huadong,et al.Establishment and preliminary validation of a dose-response curve for semi-automated identification of nucleoplasmic bridges in human peripheral blood lymphocytes[J].Chin J Radiol Med Prot,2026,46(7):656-661 |
| 半自动化识别人外周血核质桥的剂量-效应曲线建立与初步验证 |
| Establishment and preliminary validation of a dose-response curve for semi-automated identification of nucleoplasmic bridges in human peripheral blood lymphocytes |
| 投稿时间：2024-12-25 |
| DOI：10.3760/cma.j.cn112271-20241225-00495 |
| 中文关键词: 核质桥 自动化 剂量-效应曲线 |
| 英文关键词:Nucleoplasmic bridge Automation Dose-response curve |
| 基金项目:重庆市科卫联合医学科研项目(2022ZDXM034) |
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| 中文摘要: |
| 目的 通过自动扫描软件识别不同辐射剂量诱发的人外周血淋巴细胞核质桥(NPB),建立60Co γ射线照射诱导人外周血淋巴细胞核质桥 的剂量-效应曲线。方法 采集4名健康志愿者(2男2女)肝素钠抗凝静脉血24 ml,分别经0、0.25、0.51、1、2、3、4 和5 Gy 60Co γ射线(剂量率0.85 Gy/min)离体照射,采用松弛素B胞质分裂阻断法(CB)培养和制备样本,利用自动扫描和识别软件记录双核细胞中的核质桥,拟合基于每细胞核质桥数的剂量-效应曲线;利用该曲线,对照射后的盲样进行核质桥生物剂量估算。结果 应用自动扫描和识别核质桥的可重复性、准确率、真阳性率均高于98%,但假阳性率低于50%。在0~5 Gy 剂量范围内,拟合核质桥的剂量-效应曲线符合二次多项式模型,回归方程为y=0.391 7×10-3D2 + 3.225 8×10-3D + 0.175 8×10-3(R2=0.999,D为剂量)。验证样本的剂量估算结果与实际照射剂量的相对偏差＜20%。结论 成功构建了基于半自动化分析核质桥的剂量-效应曲线,其用于估算生物剂量具有可行性。 |
| 英文摘要: |
| Objective To identify nucleoplasmic bridges in human peripheral blood lymphocytes induced by different radiation doses using automated scanning software, and establish a dose-response curve for nucleoplasmic bridges induced in human peripheral blood lymphocytes by 60Co γ-rays. Methods Twenty-four milliliters of heparin sodium-anticoagulated venous blood were collected from 4 healthy volunteers (2 males and 2 females), and irradiated in vitro with 0, 0.25, 0.51, 1, 2, 3, 4, and 5 Gy of 60Co γ-rays (dose rate 0.85 Gy/min). Samples were cultured and prepared using the cytokinesis-block method with cytochalasin B. The nucleoplasmic bridges in binucleated cells were recorded using automatic scanning and recognition software, and a dose-response curve was fitted based on the number of nucleoplasmic bridges per cell. The curve was then used to estimate the nucleoplasmic bridge-based biological dose of irradiated blind samples. Results The application for automatically scanning and identifying nucleoplasmic bridges boasted a repeatability, accuracy, and true positive rate all exceeding 98%, with a false positive rate below 50%. The repeatability, accuracy, and true positive rate of automatic scanning and identification of nucleoplasmic bridges were all higher than 98%, and the false positive rate was lower than 50%. Within the dose range of 0 to 5 Gy, the fitted dose-response curve for nucleoplasmic bridges conformed to a quadratic polynomial model. The regression equation was y=0.391 7 × 10-3D2 + 3.225 8 × 10-3D + 0.175 8 × 10-3 (R2=0.999), where D represents the dose. The relative deviations between the estimated doses of the validation samples and the actual irradiation doses were <20%. Conclusions A dose-response curve based on the semi-automated analysis of nucleoplasmic bridges was successfully constructed, and its feasibility for estimating biological doses was validated. |
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