Cervical squamous cell carcinoma is a major global health burden, with many patients presenting with locally advanced disease requiring concurrent chemoradiotherapy (CCRT). Early assessment of treatment response (TR) is critical for optimizing therapeutic strategies and improving clinical outcomes; however, conventional imaging parameters provide limited predictive value. This study aimed to develop a PET radiomics model using machine learning (ML) to predict early TR after CCRT in patients with stage II–III locally advanced cervical squamous cell carcinoma (LACSC). This retrospective study included 184 patients with LACSC who received CCRT (2018–2021) and underwent pre-treatment 18F-FDG PET/CT within 1 week before CCRT initiation. The patients were randomly assigned to a training set (n = 128) or an internal test set (n = 56). The ROIs were delineated using ITK-SNAP. Radiomic features were extracted using Pyradiomics and selected using the least absolute shrinkage and selection operator. Five ML algorithms (random forest, logistic regression, light gradient boosting machine, extremely randomized trees, and multilayer perceptron) were evaluated in this study. The performance was assessed using the area under the curve (AUC), sensitivity, and specificity. Eight radiomic features were identified. The random forest model performed best, with AUCs of 0.877 (95

Recently, oncolytic virus (OV) therapy has shown great promise in treating malignancies. However, intravenous safety and inherent lack of immunity are two significant limitations in clinical practice. Herein, we successfully developed a recombinant Newcastle disease virus with porcine α1,3GT gene (NDV-GT) triggering hyperacute rejection. We demonstrated its feasibility in preclinical studies. The intravenous NDV-GT showed superior ability to eradicate tumor cells in our innovative CRISPR-mediated primary hepatocellular carcinoma monkeys. Importantly, the interventional clinical trial treating 20 patients with relapsed/refractory metastatic cancer (Chinese Clinical Trial Registry of WHO, ChiCTR2000031980) showed a high rate (90.00%) of disease control and durable responses, without serious adverse events and clinically functional neutralizing antibodies, further suggesting that immunogenicity is minimal under these conditions and demonstrating the feasibility of NDV-GT for immunovirotherapy. Collectively, our results demonstrate the high safety and efficacy of intravenous NDV-GT, thus providing an innovative technology for OV therapy in oncological therapeutics and beyond.

Objective:To investigate the predictive value of pertinent metabolic parameters of 18F-FDG PET/CT in relation to the expression level of human epidermal growth factor receptor 2 (HER2) in patients with gastric cancer. Materials and methods:The data was retrospectively acquired from 105 patients who had been pathologically diagnosed gastric cancer prior to treatment at our institution, including clinical data, laboratory test results, histological information, 18F-FDG PET/CT metabolic parameters (including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), peak standardized uptake value (SUVpeak), SUVmax normalized by lean body mass (SULmax), SUVmean normalized by lean body mass (SULmean), SUVpeak normalized by lean body mass (SULpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)), and HER2 expression level, from January 2018 to December 2022. The correlation between 18F-FDG PET/CT metabolic parameters and HER2 expression level was examined, and the predictive value of these measures for HER2 expression level was investigated. Results:Among the 105 patients, 27 exhibited positive HER2 expression, while 78 demonstrated negative HER2 expression. Significant differences in MTV and TLG between patients exhibiting positive and negative HER2 expression (P < 0.05). The best cut-off values for MTV and TLG were 20.3 cm³ and 72.3 g, yielding accuracy rates of 90.2% and 89.0% for predicting positive HER2 expression, respectively. Our further grouped study shows that in the gastric adenocarcinoma and Lauren classification groups, MTV was significantly negatively correlated with HER2 positivity. Notably, in mixed tumors, the AUC value reached as high as 0.85. Conclusions:The negative correlations between MTV/TLG and HER2 status demonstrated that HER2-positive tumors are associated with reduced metabolic burden, providing imaging biomarkers for clinical prognostic assessment. Notably, subgroup analysis in gastric adenocarcinoma and Lauren classification subgroups revealed significant negative associations between MTV and HER2 positivity, highlighting MTV's potential utility in predicting HER2 expression across histological subtypes of gastric cancer and supporting its role in precision oncology.

OBJECTIVE:To develop a fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) radiomics-based nomogram model for predicting progression-free survival (PFS) in locally advanced cervical squamous cell carcinoma (LACSC) patients undergoing concurrent chemoradiotherapy (CCRT). SUBJECTS AND METHODS:A retrospective study included 241 LACSC patients treated with CCRT, divided into training (n=168) and validation (n=73) sets. Lesion segmentation, radiomics feature extraction and screening were performed on 18F-FDG PET images of each patient, and radiomics scores (Rad-scores) were calculated.Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors and create a combined model and nomogram. Predictive performance was assessed using time-dependent receiver operating characteristic (ROC) curves, area under the curve (AUC), and consistency index (C-index). Calibration curves evaluated nomogram accuracy, and decision curve analysis (DCA) assessed nomogram clinical applicability. RESULTS:The Rad-score calculated from five optimal radiomics features and FIGO stage were independent predictors of PFS in LACSC patients.The C-index values for the FIGO stage, Rad-score, and combined model were 0.586, 0.692, and 0.727 in the training set, and 0.612, 0.668, and 0.698 in the validation set, respectively. The combined model showed excellent predictive ability for PFS at 12, 18, and 24 months, with training set AUCs of 0.805, 0.738, and 0.719, and validation set AUCs of 0.670, 0.744, and 0.741, respectively. The calibration curves confirmed a good agreement between predicted and actual progression probabilities, with DCA revealing significant clinical net benefits. CONCLUSION:The 18F-FDG PET radiomics-based nomogram effectively predicted PFS in LACSC patients and could support individualized treatment decisions and accurate prognostic evaluations.

OBJECTIVE:To estimate the performance of machine learning models based on preoperative three-dimensional whole-lesion radiomics features for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC). SUBJECTS AND METHODS:This retrospective study included 106 individuals who underwent preoperative fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and were pathologically diagnosed with HCC at Guangxi Medical University Cancer Hospital between January 2018 and December 2023. Individuals were randomly assigned to training (n=74) and validation (n=32) sets. A total of 2,016 radiomic features were extracted from three-dimensional whole-lesion PET images. Least absolute shrinkage and selection operator regression combined with recursive feature elimination identified the optimal feature subset. Logistic regression (LR), Light Gradient Boosting Machine (LightGBM), and multilayer perceptron (MLP) models were developed. Model performance in the validation set was evaluated using precision, area under the receiver operating characteristic curve (AUC), and F1-score. RESULTS:Six key radiomic features were selected. In the validation set, the LR model achieved an AUC of 0.703, precision of 0.750, and F1-score of 0.765; the LightGBM model achieved an AUC of 0.654, precision of 0.688, and F1-score of 0.687; and the MLP model achieved an AUC of 0.629, precision of 0.625, and F1-score of 0.625. CONCLUSION:The LR model demonstrates the best overall performance and shows promise for noninvasive preoperative MVI assessment.

OBJECTIVE:To analyze the relationship between fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and ultrasound breast imaging reporting and data system (BI-RADS) classification, and to evaluate the diagnostic value of their combined application in breast diseases. SUBJECTS AND METHODS:A retrospective analysis was conducted on the 18F-FDG PET/CT images and ultrasound BI-RADS classification data of 110 patients with suspected breast cancer treated at our hospital from July 2020 to May 2022. Pearson correlation analysis was used to assess the relationship between the maximum standardized uptake value (SUVmax) and BI-RADS classification. Using pathology or long-term follow-up results as the "gold standard," the diagnostic value of 18F-FDG PET/CT, ultrasound BI-RADS classification, and their combined application in breast diseases was analyzed. RESULTS:Based on the "gold standard" of pathology or long-term follow-up, of the 110 patients with suspected breast cancer, 49 were benign, and 61 were malignant. The SUVmax levels of malignant lesions were significantly higher than those of benign lesions (P<0.05). Pearson correlation analysis indicated a low correlation between SUVmax and ultrasound BI-RADS classification (r=0.458, P<0.05). Receiver operating characteristic (ROC) curve analysis showed that the area under the curve (AUC) of the combined application of SUVmax and ultrasound BI-RADS classification was higher than that of either method alone, both for breast tumors and for patients classified as BI-RADS category 3 to 4. CONCLUSION:The correlation between SUVmax and ultrasound BI-RADS classification is low (r=0.458), indicating that these two methods assess different biological aspects of breast tumors. However, the combined use of SUVmax and BI-RADS classification significantly enhances diagnostic accuracy, particularly for patients with BI-RADS 3 to 4 lesions. Although this combination improves diagnostic efficacy, 18F-FDG PET/CT should not be used as a primary screening tool but rather as a complementary method in specific clinical scenarios where imaging findings are inconclusive or suspicion of malignancy is high.

OBJECTIVE:To explore the potential of intratumoral metabolism and its heterogeneous parameters, as measured by preoperative fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) imaging, to predict mediastinal occult lymph node metastasis in cN0 lung invasive adenocarcinoma. SUBJECTS AND METHODS:Seventy five patients were consecutively enrolled from January 2018 to December 2022. All patients underwent 18F-FDG PET/CT scans within two weeks before surgery, and had mediastinal lymph node metastasis confirmed by pathologic diagnosis after surgery. Metabolic parameters including the maximum standardized uptake value (SUVmax), mean SUV (SUVmean), maximum average SUV (SUVpeak), tumor metabolic volume (MTV), and metabolic heterogeneity (HF) were measured. The relationship between primary focal metabolism, its heterogeneity parameters, and occult mediastinal lymph node metastasis was analyzed using an independent-sample t-test, analysis of covariance, and Mann-Whitney U test. A multivariate logistic regression model was used to analyze independent risk factors for mediastinal lymph node metastasis, while the receiver operating characteristic (ROC) curve assessed the predictive value of metabolic heterogeneity parameters for mediastinal occult lymph node metastasis. RESULTS:A total of 20 out of 75 patients (26.7%) were pathologically confirmed to have mediastinal lymph node metastasis. Analysis of covariance showed that the SUVmax, SUVmean, SUVpeak and MTV were significantly higher in patients with metastasis than in those without (all P<0.05). The metabolic heterogeneity parameters HF2 and HF3 were significantly higher in patients with mediastinal lymph node metastasis than in those without (P=0.013, 0.001), but not HF1. Multivariate Logistic regression analysis identified that tumor size, SUVmax, SUVpeak, lymph node SUVmax, and HF2 of the primary tumor as independent risk factors for mediastinal lymph node metastasis. Metabolic heterogeneity 3 demonstrated high predictive value for mediastinal occult lymph node metastasis (AUC=0.720, P=0.004). CONCLUSION:Metabolism and heterogeneity, as measured by preoperative 18F-FDG PET/CT in lung invasive adenocarcinoma, potentially have clinical value for predicting mediastinal occult lymph node metastasis.

Objective: : To explore the potential of intratumoral metabolism and its heterogeneous parameters, as measured by preoperative fluorine-18-fluorodeoxyglucose (F-18-FDG) positron emission tomography/ computed tomography (PET/CT) imaging, to predict mediastinal occult lymph node metastasis in cN0 lung invasive adenocarcinoma. Subjects and Methods: Seventy five patients were consecutively enrolled from January 2018 to December 2022. All patients underwent F-18-FDGPET/CTscanswithintwoweeks before surgery, and had mediastinal lymph node metastasis confirmed by pathologic diagnosis after surgery. Metabolic parameters including the maximum standardized uptake value (SUVmax), mean SUV (SUVmean), maximum average SUV (SUVpeak), tumor metabolic volume (MTV), and metabolic heterogeneity (HF) were measured. The relationship between primary focal metabolism, its heterogeneity parameters, and occult mediastinal lymph node metastasis was analyzed using an independent-sample t-test, analysis of covariance, and Mann-Whitney U test. A multivariate logistic regression model was used to analyze independent risk factors for mediastinal lymph node metastasis, while the receiver operating characteristic (ROC) curve assessed the predictive value of metabolic heterogeneity parameters for mediastinal occult lymph node metastasis. Results: A total of 20 out of 75 patients (26.7%) were pathologically confirmed to have mediastinal lymph node metastasis. Analysis of covariance showed that the SUVmax, SUVmean, SUVpeak and MTV were significantly higher in patients with metastasis than in those without (all P<0.05). The metabolic heterogeneity parameters HF2 and HF3 were significantly higher in patients with mediastinal lymph node metastasis than in those without (P=0.013, 0.001), but not HF1. Multivariate logistic regression analysis identified that tumor size, SUVmax, SUVpeak, lymph node SUVmax, and HF2 of the primary tumor as independent risk factors for mediastinal lymph node metastasis. Metabolic heterogeneity 3 demonstrated high predictive value for mediastinal occult lymph node metastasis (AUC= 0.720, P=0.004). Conclusions: Metabolism and heterogeneity, as measured by preoperative F-18-FDG PET/ CT in lung invasive adenocarcinoma, potentially have clinical value for predicting mediastinal occult lymph node metastasis.

目的 探讨Gibbs反思循环模式联合情景模拟方法在本科《医学影像学》教学的应用价值.方法 2021年 9 月—2022 年 1 月选取 129 名广西医科大学 2020级临床医学专业学生作为研究对象,以班为单位随机分为试验组和对照组,对照组采用传统教学法,试验组采用Gibbs反思循环模式联合情景模拟的教学法,教学任务完成以后比较两组考核成绩以及调查问卷结果,并进行统计学分析.结果 在评判性思维能力方面,试验组评估总分为(185.22±22.35)分,高于对照组的(174.82±23.62)分,理论考试成绩试验组为(83.62±6.37)分高于对照组(80.71±6.49)分、技能考核试验组成绩(88.59±6.89)分高于对照组成绩(85.43±7.35)分,课程评价得分(39.08±5.94)分高于对照组得分(35.71±6.37)分,差异有统计学意义(P＜0.05).结论 Gibbs反思循环模式联合情景模拟教学法在本科《医学影像学》有较好的应用效果,对本科《医学影像学》教育教学深化改革有一定的指导作用.

目的 探讨18F-FDG PET/CT相关代谢参数预测Ⅰ～Ⅲ期非小细胞肺癌淋巴结转移的价值.方法 回顾性分析2017年12月至2020年6月于广西医科大学附属肿瘤医院接受18F-FDG PET/CT检查和经病理检查确诊的92例Ⅰ～Ⅲ期非小细胞肺癌患者的临床资料,根据有无淋巴结转移分为淋巴结转移组(n=57)和非淋巴结转移组(n=35),分析18F-FDG PET/CT代谢参数最大标准摄取值(SUVmax)、肿瘤代谢体积(MTV)和病灶糖酵解总量(TLG)与临床特征的关系,并绘制受试者工作特征(ROC)曲线,分析各个代谢参数预测Ⅰ～Ⅲ期非小细胞肺癌淋巴结转移的价值.结果 淋巴结转移组的MTV、TLG中位数均高于非淋巴结转移组,差异有统计学意义(P<0.05).淋巴结转移组和非淋巴结转移组的SUVmax比较,差异无统计学意义(P>0.05).各N分期间SUVmax比较,差异无统计学意义(P>0.05).ROC曲线分析显示,MTV和TLG的最佳截断值分别为7.65 cm3、28.44 g.MTV与TLG联合模型的曲线下面积(AUC)为0.75(95％CI:0.65～0.85),高于MTV(AUC:0.73,95％CI:0.63～0.83)、TLG(AUC:0.73,95％CI:0.63～0.83)单一诊断的AUC.MTV与TLG联合的灵敏度高于MTV、TLG(68.40％vs.57.90％、63.20％),MTV的特异度在三者中最高(85.70％vs.77.10％、77.10％)(P<0.05).综合评估,MTV联合TLG诊断模型优于其他诊断模型.结论 18F-FDG PET/CT代谢参数MTV、TLG对Ⅰ～Ⅲ期非小细胞肺癌淋巴结转移具有一定的预测价值,MTV和TLG联合有更高的预测价值.

目的 探究18F-FDGPET/CT代谢参数不同测量方式及计算方法在食管癌(EC)患者总生存期(OS)预测中的应用价值.方法 回顾性分析接受PET/CT检查的34例Ⅰ-N期EC患者的相关资料,采用Mann-Whitney U非参数检验比较各组代谢参数的差异.通过勾画的感兴趣区域系统计算出不同阈值的最大标准摄取值(SUVmax)、肿瘤代谢体积(MTV)、病变总糖酵解(TLG)、全身肿瘤代谢体积(MTVwb)、全身总病灶糖酵解(TLGwb),按最佳截断值分成高、低值两组后绘制Kaplan-Meier生存曲线,用log-rank法检验曲线差异.分析治疗前原发灶SUVmax、MTV30、MTV40、MTV50、TLG30、TLG40、TLG50、MTVwb、TLGwb 及病灶厚度、年龄、体重指数(BMI)、TNM分期、临床分期、中性粒细胞/淋巴细胞比值(NLR)、碱性磷酸酶(ALP)对患者OS的预测价值.结果 至随访末期,共死亡17例(50.0％),中位生存期为16.5个月,半年生存率为81.97％,1年生存率为66.5％.以中位生存时间16.5个月为界限进行分组,中位生存时间≤16.5个月和中位生存时间＞16.5个月患者的SUVmax、MTVwb、TLGwb及MTV、TLG差异均有统计学意义(均P＜0.05).不同 MTV30、MTV40、MTV50、TLG40、TLG50、SUVmax、年龄、BMI、病灶厚度、cT分期、cN分期、cM分期、临床分期患者的生存曲线比较,差异均无统计学意义(均P＞0.05);TLG30、TLGwb、NLR、ALP低值组生存率高于 TLG30、TLGwb、NLR、ALP 高值组,差异均有统计学意义(均P＜0.05).结论 治疗前TLG30、TLGwb对于EC患者的预后有一定预测价值,可为临床筛选预后不良的患者提供参考依据,从而制订精准化、个体化的治疗方案.

参与式教学法是一种探索式、开放性、主动性的教学方法,教师和学生同为主体,有助于激发学生的兴趣和学习积极性,帮助学生更好地理解课程内容.鉴于目前核医学教学中存在的课时少、学生对课程不感兴趣等不足,为提高教学质量和教学效果,文章在教学实践中将参与式教学与传统教学的基本原理和方法有机结合,探索符合核医学的参与式教学模式.文章以核医学见习课教学为例,将课程实践分为课前准备阶段、理论学习阶段、实践阶段和反馈评价反思阶段四个阶段,并与传统的讲授式教学进行比较和评价,结果显示参与式教学在突出学生为教学主体、提高学生兴趣和学习成绩方面有一定的优势.

食管癌的发病率在全球所有癌症中排名第七,在癌症相关死因中排名第六[1].食管癌发病率位居首位和第二位的地区分别为东亚和非洲南部,这两个地区的食管鳞状细胞癌(esophageal squamous cell carcinoma,ESCC)占比超过90％[2],而北欧、北美和西欧等地区以食管腺癌(esophageal adenocarcinoma,EAC)为主[3].

患者男性,39岁.2020年7月于外院体检CT检查时发现左肺上叶占位,考虑周围型肺癌.主因"体检发现左肺上叶肿物21天",2020年8月患者就诊于广西医科大学附属肿瘤医院.CT检查示:左肺上叶见巨大高密度占位,增强扫描明显不均匀强化,考虑周围型肺癌可能性大(图1).为明确肿瘤的定性及分期,行PET-CT检查示:左肺上叶见一类圆形软组织密度肿物,大小约8.5 cm×8.5 cm×10.4 cm,放射性摄取增高,SUVmax为7.1,中央可见放射性缺损坏死区,病灶与左肺上叶支气管关系密切(图2).PET-CT示:左肺上叶肿物代谢增高,考虑恶性肿瘤,建议结合活检病理.入院后完善相关检查,肿瘤标志物等未见明确异常.排除手术禁忌证后,全麻下行左肺上叶肿物切除术.

目的 探讨18F-氟代脱氧葡萄糖(18F-FDG)PET/CT代谢参数联合临床病理因素预测食管癌患者预后的价值.方法 纳入63例食管癌患者,收集患者的年龄、饮酒史、合并基础病情况、体质指数、病灶长度、肿瘤位置、临床分期、TNM分期、治疗情况及治疗前的中性粒细胞/淋巴细胞比值(NLR)、鳞癌相关抗原水平、胸苷激酶1水平、病灶肿瘤浸润淋巴细胞(TILs)密度.记录患者治疗前的18 F-FDG PET/CT检查结果,包括原发灶的最大标准摄取值、肿瘤代谢体积(MTV)、病灶糖酵解总量、全身肿瘤代谢体积(MTVwb)、全身病灶糖酵解总量(TLGwb).比较不同特征患者的中位生存期,并采用COX回归模型分析患者确诊后生存情况的影响因素.根据影响因素建立Nomogram预测模型,分析该模型对食管癌患者预后的预测价值.结果 63例食管癌患者的6个月、1年生存率分别为75.22％、60.53％,中位生存期为16.5个月.不同体质指数、治疗情况、病灶长度、MTV、MTVwb、TLGwb的食管癌患者之间确诊后的中位生存期差异均有统计学意义(均P<0.05).COX回归分析结果显示,体质指数≥18.02 kg/m2、规律治疗、TILs(+)是食管癌患者确诊后的生存情况的独立保护因素,TLGwb>166.0 g是其独立危险因素(均P<0.05).基于多因素分析结果建立的Nomogram预测模型的一致性指数为0.838,预测患者确诊后6个月和1年生存情况的受试者工作特征曲线下面积分别为0.935、0.841,均优于单一指标.结论 TLGwb、TILs密度、体质指数、治疗情况均与食管癌患者确诊后的生存情况有关,基于四者建立的Nomogram模型对食管癌患者的预后有较好的预测效能.

目的 探讨在正电子发射计算机断层显像仪(PET/CT)检查护理过程中应用心理护理联合个体化宣教对肝癌患者PET/CT图像质量的影响.方法 选择接受PET/CT检查的100例肝癌患者作为研究对象,按照随机数字表法将其分为对照组(n=50)与研究组(n=50),对照组予常规护理,研究组在常规护理的基础上应用心理护理联合个体化宣教干预.比较两组患者PET/CT的图像质量及护理满意度.结果 研究组患者图像质量评分高于对照组(P＜0.05),但两组图像首次达标率差异无统计学意义(P＞0.05).研究组患者护理满意度高于对照组(P＜0.05).结论 肝癌患者在PET/CT检查过程中接受心理护理联合个体化宣教干预,可提高PET/CT图像质量及患者护理满意度.

肿瘤骨转移是晚期恶性肿瘤常见的并发症,转移瘤病灶的数目、骨代谢活跃程度以及病灶骨质改变类型等均可反映患者病情及骨修复情况.单光子发射计算机断层成像术(single-photon emission computed tomography,SPECT)/计算机断层扫描术(computer tomography,CT)全身骨+断层融合显像可显示骨转移病灶位置、大小、形态、数目、骨质及其骨代谢情况.

医用回旋加速器是医用放射性核素的主要来源,用于制备PET/CT显像所需的正电子核素,能制备氟-18(18F)、碳-11(11C)、氮-13(13N)、铜-64(64Cu)、锆-89(89Zr)、碘-124(124I)等.医用回旋加速器的普及不仅满足了临床对放射性药物的需求,也推动了新型正电子分子探针的研制和使用,进而促进了核医学的诊疗应用和研究.本文从医用回旋加速器的原理及其临床应用等方面进行综述,以期为核医学工作者进行相关临床应用及新型分子探针研制等科研工作提供更多的选择.

目的 探讨线上与线下结合的教学模式在核医学护理见习教学中的应用价值.方法 选取我校临床医学专业2016级4个班本科学生216名,按班级随机分成对照组和试验组,每组各108名.对照组以传统核医学护理教学模式进行授课,试验组以线上与线下混合式教学法进行,研究时间分别为2019年10月至2020年1月和2020年4—6月,共8个见习实践教学学时,使用调查问卷和学生考核成绩进行教学效果评价,并收集整理问卷调查数据及学生考核成绩数据,进行相关的统计学分析.结果 对"是否了解核医学?""核医学辐射是否可怕?""核医学护理工作是否重要?"和了解核医学护理辐射防护相关知识,试验组学生成绩提高明显优于对照组(P<0.05).结论 线上与线下混合式教学模式能够使学生快速抓住学习的重点,掌握学习知识,从而有效提高学生的学习成绩,值得在核医学护理见习教学中推广应用.

目的 估测氟-18-脱氧葡萄糖(18F-2-deoxy-D-glucose,18F-FDG)正电子发射计算机断层显像(positron emission tomography/computer tomography,PET/CT)检查从药品分装到检查结束不同工作环节工作人员接受的辐射剂量.方法 随机选取2020年8月在广西医科大学附属肿瘤医院接受18F-FDG PET/CT显像的患者120例,利用X-γ辐射剂量仪测量注射18F-FDG后即刻、1 h和2 h距患者前胸0.05、0.30、0.50、1.00、2.00和3.00 m处和各工作区的γ辐射剂量率,计算不同工作环节工作人员接受的辐射剂量.利用电子个人剂量计测量工作人员每例检查不同工作环节接受的辐射剂量.结果 注射后即刻距患者前胸0.05、0.30、0.50、1.00、2.00和3.00 m 处的剂量率分别为(450.98±78.32)、(117.01±20.32)、(43.64±7.58)、(25.03±4.35)、(9.59±1.67)和(3.36±0.58)μSv/h,2 h后剂量率分别下降至(185.59±32.23)、(54.56±6.08)、(20.77±3.26)、(10.79±1.54)、(3.87±0.59)和(0.81±0.07)μSv/h.物理师、护士、摆位技师和扫描结束协助患者下床技师的平均受照剂量分别为(0.52±0.07)、(2.06±0.27)、(1.66±0.32)和(1.34±0.26)μSv/例.按照平均每天25例患者计算,这4类工作人员的年平均受照剂量分别为(1.69±0.23)、(6.70±0.88)、(5.40±1.04)和(4.36±0.85)mSv.结论 通过现有辐射防护设施和规范的方法,PET/CT中心工作人员接受的辐射剂量低于国家标准规定的职业照射人员个人年剂量限值(20 mSv/a).