目的:探讨急性缺血性脑卒中(acute ischemic stroke,AIS)患者CT平扫(non-contrast computed tomography,NCCT)Alberta卒中项目早期CT评分(Alberta stroke program early computed tomography score,ASPECTS)与CT灌注成像(CT perfusion,C...目的:探讨急性缺血性脑卒中(acute ischemic stroke,AIS)患者CT平扫(non-contrast computed tomography,NCCT)Alberta卒中项目早期CT评分(Alberta stroke program early computed tomography score,ASPECTS)与CT灌注成像(CT perfusion,CTP)梗死核心体积不匹配的影响因素及预后特征。方法:回顾性分析2019年10月—2023年8月449例行NCCT及CTP评估的前循环大血管闭塞型AIS患者的临床及影像资料。采用RAPID软件自动计算NCCT-ASPECTS和CTP梗死核心体积。“NCCT-CTP不匹配”定义为低NCCT-ASPECTS、小梗死核心体积(low ASPECTS and small ischemic core volume,LASC)(NCCT-ASPECTS<6分,CTP梗死核心体积<70 mL)以及高NCCT-ASPECTS、大梗死核心体积(high ASPECTS and large ischemic core volume,HALC)(NCCT-ASPECTS≥6分,CTP梗死核心体积≥70 m L)。采用血管内取栓治疗(endovascular thrombectomy,EVT)后90 d随访基线改良Rankin量表(mRS)评分0~2分定义预后良好。采用多因素逻辑回归分析NCCT-CTP不匹配的独立影响因素。结果:449例AIS患者中有145例出现NCCT-CTP不匹配,其中52例(35.9%)患者血管内取栓治疗(endovascular thrombectomy,EVT)后获得良好预后。多因素逻辑回归分析结果提示,影像评估前接受静脉溶栓(intravenous thrombolysis,IVT)(OR=1.833;95%CI:1.205~2.790,P=0.005)、更高的基线NIHSS评分(OR=1.055;95%CI:1.028~1.083,P<0.001)是AIS患者出现NCCT-CTP不匹配的独立影响因素。NCCT-CTP不匹配亚组分析提示,LASC患者卒中发病至基线影像检查的时间间隔大于HALC患者[306(219,482)min vs.125(63,307)min;P=0.004]。LASC患者EVT术后出血性脑梗死发生率高于HALC患者(66.9%vs.33.3%;P=0.021)。结论:约35%的NCCT-CTP不匹配患者可从EVT中获益。影像评估前接受IVT以及更高的基线NIHSS评分是出现NCCT-CTP不匹配的独立影响因素。展开更多
Objective: To develop and validate a radiomics-based predictive risk score(RPRS) for preoperative prediction of lymph node(LN) metastasis in patients with resectable non-small cell lung cancer(NSCLC).Methods: We retro...Objective: To develop and validate a radiomics-based predictive risk score(RPRS) for preoperative prediction of lymph node(LN) metastasis in patients with resectable non-small cell lung cancer(NSCLC).Methods: We retrospectively analyzed 717 who underwent surgical resection for primary NSCLC with systematic mediastinal lymphadenectomy from October 2007 to July 2016. By using the method of radiomics analysis, 591 computed tomography(CT)-based radiomics features were extracted, and the radiomics-based classifier was constructed. Then, using multivariable logistic regression analysis, a weighted score RPRS was derived to identify LN metastasis. Apparent prediction performance of RPRS was assessed with its calibration,discrimination, and clinical usefulness.Results: The radiomics-based classifier was constructed, which consisted of 13 selected radiomics features.Multivariate models demonstrated that radiomics-based classifier, age group, tumor diameter, tumor location, and CT-based LN status were independent predictors. When we assigned the corresponding score to each variable,patients with RPRSs of 0-3, 4-5, 6, 7-8, and 9 had distinctly very low(0%-20%), low(21%-40%), intermediate(41%-60%), high(61%-80%), and very high(81%-100%) risks of LN involvement, respectively. The developed RPRS showed good discrimination and satisfactory calibration (C-index: 0.785, 95% confidence interval(95% CI):0.780-0.790)Additionally, RPRS outperformed the clinicopathologic-based characteristics model with net reclassification index(NRI) of 0.711(95% CI: 0.555-0.867).Conclusions: The novel clinical scoring system developed as RPRS can serve as an easy-to-use tool to facilitate the preoperatively individualized prediction of LN metastasis in patients with resectable NSCLC. This stratification of patients according to their LN status may provide a basis for individualized treatment.展开更多
目的 探讨基于机器学习的自动阿尔伯塔卒中项目早期计算机断层扫描评分(Alberta Stroke Program Early CT Score,ASPECTS)对不同部位的急性脑梗死(acute cerebral infarction,ACI)患者重组组织型纤溶酶原激活剂(rt-PA)静脉溶栓治疗预后...目的 探讨基于机器学习的自动阿尔伯塔卒中项目早期计算机断层扫描评分(Alberta Stroke Program Early CT Score,ASPECTS)对不同部位的急性脑梗死(acute cerebral infarction,ACI)患者重组组织型纤溶酶原激活剂(rt-PA)静脉溶栓治疗预后的评估价值。方法 回顾性连续收集2021年1月-2023年2月在南昌大学第二附属医院接受静脉溶栓治疗的急性缺血性卒中患者,以DWI序列高信号作为梗死标准,由人工智能软件基于CT的自动ASPECTS评分,收集患者的一般临床资料、自动ASPECTS评分及溶栓3个月后mRS评分。结果 共纳入急性脑梗死患者135例,分为预后良好组(78例)与预后不良组(57例)。预后不良组豆状核、尾状核、岛叶及M1256区的发生率高于预后良好组(P<0.05)。预后不良组的入院NHISS评分、自动ASPECTS评分与预后良好组比较,差异有统计学意义(P<0.05);二元Logistic回归显示基于梗死位置中的豆状核(0R=0.249,95%CI:0.065~0.956,P=0.043)、尾状核(OR=6.036,95%CI:2.119~17.190,P=0.001)、岛叶(OR=0.280,95%CI:0.096~0.812,P=0.019)及M1区(OR=0.289,95%CI:0.704~6.038,P=0.032)是脑梗死预后不良的独立危险因素。NHISS评分(OR=1.072,95%CI:1.004~1.144,P=0.038),ASPECTS评分(OR=0.520,95%CI:0.387~0.699,P<0.001)。结论 梗死位置可以作为急性脑梗死患者溶栓预后评估的重要预测指标,不同区域的自动ASPECTS评分对预后的预估存在差异,豆状核区、尾状核区、岛叶区或M1区梗死的预后较差,我们的发现对于识别溶栓治疗后有预后不良风险的患者具有价值。展开更多
Background: The associations between the severity of interstitial lung disease and the stage and histologic type of concurrent lung cancer remain unknown. Purpose: To evaluate whether the severity of interstitial lung...Background: The associations between the severity of interstitial lung disease and the stage and histologic type of concurrent lung cancer remain unknown. Purpose: To evaluate whether the severity of interstitial lung abnormality (ILA), as indicated by quantitative computed tomographic (CT) indexes and CT visual score, was correlated with the stage and histological type of concurrent lung cancer. Materials and Methods: Twenty-eight patients with surgically diagnosed lung cancer and ILA on CT were enrolled in this retrospective study. The subjects were allocated to one of three groups by histological type: adenocarcinoma group (13 subjects);squamous cell carcinoma group (10 subjects);and the other histological diagnosis group (5 subjects). Two independent observers evaluated the CT findings to determine the CT visual score, and the kurtosis and skewness of CT-based density histograms were determined. The relationships between severity of ILA and the pathological stage and histological type of concurrent lung cancer were evaluated. Results: There were no significant differences in the CT visual scores and quantitative indexes among the three groups. CT visual score was significantly negatively correlated with pathological stage (r = −0.43, P = 0.025). Conclusion: Patients can have only mild ILA on visual scoring but advanced lung cancer. Therefore, the frequency of follow-up examination should not be based on the severity of ILA on CT.展开更多
文摘目的:探讨急性缺血性脑卒中(acute ischemic stroke,AIS)患者CT平扫(non-contrast computed tomography,NCCT)Alberta卒中项目早期CT评分(Alberta stroke program early computed tomography score,ASPECTS)与CT灌注成像(CT perfusion,CTP)梗死核心体积不匹配的影响因素及预后特征。方法:回顾性分析2019年10月—2023年8月449例行NCCT及CTP评估的前循环大血管闭塞型AIS患者的临床及影像资料。采用RAPID软件自动计算NCCT-ASPECTS和CTP梗死核心体积。“NCCT-CTP不匹配”定义为低NCCT-ASPECTS、小梗死核心体积(low ASPECTS and small ischemic core volume,LASC)(NCCT-ASPECTS<6分,CTP梗死核心体积<70 mL)以及高NCCT-ASPECTS、大梗死核心体积(high ASPECTS and large ischemic core volume,HALC)(NCCT-ASPECTS≥6分,CTP梗死核心体积≥70 m L)。采用血管内取栓治疗(endovascular thrombectomy,EVT)后90 d随访基线改良Rankin量表(mRS)评分0~2分定义预后良好。采用多因素逻辑回归分析NCCT-CTP不匹配的独立影响因素。结果:449例AIS患者中有145例出现NCCT-CTP不匹配,其中52例(35.9%)患者血管内取栓治疗(endovascular thrombectomy,EVT)后获得良好预后。多因素逻辑回归分析结果提示,影像评估前接受静脉溶栓(intravenous thrombolysis,IVT)(OR=1.833;95%CI:1.205~2.790,P=0.005)、更高的基线NIHSS评分(OR=1.055;95%CI:1.028~1.083,P<0.001)是AIS患者出现NCCT-CTP不匹配的独立影响因素。NCCT-CTP不匹配亚组分析提示,LASC患者卒中发病至基线影像检查的时间间隔大于HALC患者[306(219,482)min vs.125(63,307)min;P=0.004]。LASC患者EVT术后出血性脑梗死发生率高于HALC患者(66.9%vs.33.3%;P=0.021)。结论:约35%的NCCT-CTP不匹配患者可从EVT中获益。影像评估前接受IVT以及更高的基线NIHSS评分是出现NCCT-CTP不匹配的独立影响因素。
基金supported by the National Key Research and Development Plan of China (No. 2017YFC1309100)the National Natural Scientific Foundation of China (No. 81771912, 81901910, and 81701782)the Provincial Science and Technology Plan Project of Guangdong Province (No. 2017B020227012)
文摘Objective: To develop and validate a radiomics-based predictive risk score(RPRS) for preoperative prediction of lymph node(LN) metastasis in patients with resectable non-small cell lung cancer(NSCLC).Methods: We retrospectively analyzed 717 who underwent surgical resection for primary NSCLC with systematic mediastinal lymphadenectomy from October 2007 to July 2016. By using the method of radiomics analysis, 591 computed tomography(CT)-based radiomics features were extracted, and the radiomics-based classifier was constructed. Then, using multivariable logistic regression analysis, a weighted score RPRS was derived to identify LN metastasis. Apparent prediction performance of RPRS was assessed with its calibration,discrimination, and clinical usefulness.Results: The radiomics-based classifier was constructed, which consisted of 13 selected radiomics features.Multivariate models demonstrated that radiomics-based classifier, age group, tumor diameter, tumor location, and CT-based LN status were independent predictors. When we assigned the corresponding score to each variable,patients with RPRSs of 0-3, 4-5, 6, 7-8, and 9 had distinctly very low(0%-20%), low(21%-40%), intermediate(41%-60%), high(61%-80%), and very high(81%-100%) risks of LN involvement, respectively. The developed RPRS showed good discrimination and satisfactory calibration (C-index: 0.785, 95% confidence interval(95% CI):0.780-0.790)Additionally, RPRS outperformed the clinicopathologic-based characteristics model with net reclassification index(NRI) of 0.711(95% CI: 0.555-0.867).Conclusions: The novel clinical scoring system developed as RPRS can serve as an easy-to-use tool to facilitate the preoperatively individualized prediction of LN metastasis in patients with resectable NSCLC. This stratification of patients according to their LN status may provide a basis for individualized treatment.
文摘Background: The associations between the severity of interstitial lung disease and the stage and histologic type of concurrent lung cancer remain unknown. Purpose: To evaluate whether the severity of interstitial lung abnormality (ILA), as indicated by quantitative computed tomographic (CT) indexes and CT visual score, was correlated with the stage and histological type of concurrent lung cancer. Materials and Methods: Twenty-eight patients with surgically diagnosed lung cancer and ILA on CT were enrolled in this retrospective study. The subjects were allocated to one of three groups by histological type: adenocarcinoma group (13 subjects);squamous cell carcinoma group (10 subjects);and the other histological diagnosis group (5 subjects). Two independent observers evaluated the CT findings to determine the CT visual score, and the kurtosis and skewness of CT-based density histograms were determined. The relationships between severity of ILA and the pathological stage and histological type of concurrent lung cancer were evaluated. Results: There were no significant differences in the CT visual scores and quantitative indexes among the three groups. CT visual score was significantly negatively correlated with pathological stage (r = −0.43, P = 0.025). Conclusion: Patients can have only mild ILA on visual scoring but advanced lung cancer. Therefore, the frequency of follow-up examination should not be based on the severity of ILA on CT.