目的:探讨MRI 3D CUBE T2序列检查在踝关节外侧韧带损伤诊断中的应用价值。方法:选取2022年1月至2024年2月本院收治的81例疑似踝关节外侧韧带损伤患者,回顾性分析其临床资料,均接受MRI常规二维序列及MRI 3D CUBE T2序列扫描,以关节镜检...目的:探讨MRI 3D CUBE T2序列检查在踝关节外侧韧带损伤诊断中的应用价值。方法:选取2022年1月至2024年2月本院收治的81例疑似踝关节外侧韧带损伤患者,回顾性分析其临床资料,均接受MRI常规二维序列及MRI 3D CUBE T2序列扫描,以关节镜检查结果为金标准,计算两种检查方式的图像质量及诊断效能。结果:本组81例疑似患者,经关节镜检查证实阳性53例,阴性28例。以关节镜检查结果为金标准,MRI 3D CUBE T2序列检查对踝关节外侧韧带损伤的诊断敏感度、特异性、准确度、阳性预测值、阴性预测值及正确指数均高于常规二维序列,假阳性率、假阴性率低于常规二维序列(P<0.05)。一致性分析发现,MRI 3D CUBE T2序列检查结果与关节镜检查结果之间的一致性Kappa值为0.744,一致性处于较高水平,高于常规二维序列的Kappa值0.572。3D CUBE T2序列扫描图像的边缘清晰度评分高于常规二维序列,运动伪影及模糊程度评分低于常规二维序列(P<0.05)。结论:MRI 3D CUBE T2序列扫描可清晰显示踝关节外侧韧带损伤形态学改变,图像清晰,可有效提高诊断效能,减少漏诊、误诊发生,为临床诊疗提供客观的影像学依据。展开更多
目的:研究MRI 3D CUBE T_(2)序列检查在踝关节外伤患者韧带损伤诊断中的价值。方法:选择2020年4月—2023年4月于白银市第一人民医院就诊的226例踝关节外伤拟行手术术前患者作为研究对象,按照不同检查方式将患者分为观察组(n=126)与对照...目的:研究MRI 3D CUBE T_(2)序列检查在踝关节外伤患者韧带损伤诊断中的价值。方法:选择2020年4月—2023年4月于白银市第一人民医院就诊的226例踝关节外伤拟行手术术前患者作为研究对象,按照不同检查方式将患者分为观察组(n=126)与对照组(n=100)。观察组采用MRI 3D CUBE T_(2)序列检查,对照组采取常规MRI检查。比较两组患侧、健侧距腓前韧带测量结果、诊断效能。结果:两组患侧、健侧距腓前韧带宽度及厚度比较,差异无统计学意义(P>0.05)。观察组Ⅰ级踝关节外伤患者韧带损伤诊断准确度、敏感度、特异度、阳性预测值、阴性预测值高于对照组,Ⅱ级患者准确度、敏感度、阴性预测值高于对照组,Ⅲ级患者准确度、特异度、阳性预测值高于对照组,差异有统计学意义(P<0.05)。结论:MRI 3D CUBE T_(2)序列检查踝关节外伤患者韧带损伤诊断效能高于常规MRI检查,可作为治疗效果评价及康复治疗的重要依据。展开更多
Accurate and efficient brain tumor segmentation is essential for early diagnosis,treatment planning,and clinical decision-making.However,the complex structure of brain anatomy and the heterogeneous nature of tumors pr...Accurate and efficient brain tumor segmentation is essential for early diagnosis,treatment planning,and clinical decision-making.However,the complex structure of brain anatomy and the heterogeneous nature of tumors present significant challenges for precise anomaly detection.While U-Net-based architectures have demonstrated strong performance in medical image segmentation,there remains room for improvement in feature extraction and localization accuracy.In this study,we propose a novel hybrid model designed to enhance 3D brain tumor segmentation.The architecture incorporates a 3D ResNet encoder known for mitigating the vanishing gradient problem and a 3D U-Net decoder.Additionally,to enhance the model’s generalization ability,Squeeze and Excitation attention mechanism is integrated.We introduce Gabor filter banks into the encoder to further strengthen the model’s ability to extract robust and transformation-invariant features from the complex and irregular shapes typical in medical imaging.This approach,which is not well explored in current U-Net-based segmentation frameworks,provides a unique advantage by enhancing texture-aware feature representation.Specifically,Gabor filters help extract distinctive low-level texture features,reducing the effects of texture interference and facilitating faster convergence during the early stages of training.Our model achieved Dice scores of 0.881,0.846,and 0.819 for Whole Tumor(WT),Tumor Core(TC),and Enhancing Tumor(ET),respectively,on the BraTS 2020 dataset.Cross-validation on the BraTS 2021 dataset further confirmed the model’s robustness,yielding Dice score values of 0.887 for WT,0.856 for TC,and 0.824 for ET.The proposed model outperforms several state-of-the-art existing models,particularly in accurately identifying small and complex tumor regions.Extensive evaluations suggest integrating advanced preprocessing with an attention-augmented hybrid architecture offers significant potential for reliable and clinically valuable brain tumor segmentation.展开更多
目的评价MRI 3D T2-SPACE诊断大脑中动脉及基底动脉狭窄的价值。方法选取2019年11月至2020年10月在南京医科大学附属淮安第一医院就诊的40例脑血管狭窄患者为研究对象,选取符合研究要求的大脑中动脉及基底动脉共120根。在入院1周内完成...目的评价MRI 3D T2-SPACE诊断大脑中动脉及基底动脉狭窄的价值。方法选取2019年11月至2020年10月在南京医科大学附属淮安第一医院就诊的40例脑血管狭窄患者为研究对象,选取符合研究要求的大脑中动脉及基底动脉共120根。在入院1周内完成颅颈动脉MRI 3D T2-SPACE和数字减影血管造影(DSA)检查,分别评估动脉狭窄程度。按狭窄程度分成轻度(1%~49%)、中度(50%~69%)、重度(70%~99%)和闭塞(100%),和金标准DSA检查对照,计算灵敏度、特异度,并分析MRI 3D T2-SPACE和DSA诊断结果的一致性。结果MRI 3D T2-SPACE诊断大脑中动脉及基底动脉狭窄/闭塞的灵敏度、特异度结果如下,轻度狭窄分别为90.0%、96.4%,中度狭窄分别为77.8%、98.2%,重度狭窄分别为96.7%、97.8%,闭塞分别为87.5%、100.0%。MRI 3D T2-SPACE与DSA检查诊断大脑中动脉及基底动脉轻、中、重度狭窄及闭塞的一致性分别为0.760、0.760、0.934、0.929。结论MRI 3D T2-SPACE能够较准确地评估大脑中动脉及基底动脉狭窄程度,特别是对重度狭窄及闭塞的诊断与DSA检查结果高度一致,作为血管检查的一种全新技术,其将会在临床发挥重要作用。展开更多
文摘目的:探讨MRI 3D CUBE T2序列检查在踝关节外侧韧带损伤诊断中的应用价值。方法:选取2022年1月至2024年2月本院收治的81例疑似踝关节外侧韧带损伤患者,回顾性分析其临床资料,均接受MRI常规二维序列及MRI 3D CUBE T2序列扫描,以关节镜检查结果为金标准,计算两种检查方式的图像质量及诊断效能。结果:本组81例疑似患者,经关节镜检查证实阳性53例,阴性28例。以关节镜检查结果为金标准,MRI 3D CUBE T2序列检查对踝关节外侧韧带损伤的诊断敏感度、特异性、准确度、阳性预测值、阴性预测值及正确指数均高于常规二维序列,假阳性率、假阴性率低于常规二维序列(P<0.05)。一致性分析发现,MRI 3D CUBE T2序列检查结果与关节镜检查结果之间的一致性Kappa值为0.744,一致性处于较高水平,高于常规二维序列的Kappa值0.572。3D CUBE T2序列扫描图像的边缘清晰度评分高于常规二维序列,运动伪影及模糊程度评分低于常规二维序列(P<0.05)。结论:MRI 3D CUBE T2序列扫描可清晰显示踝关节外侧韧带损伤形态学改变,图像清晰,可有效提高诊断效能,减少漏诊、误诊发生,为临床诊疗提供客观的影像学依据。
文摘目的:研究MRI 3D CUBE T_(2)序列检查在踝关节外伤患者韧带损伤诊断中的价值。方法:选择2020年4月—2023年4月于白银市第一人民医院就诊的226例踝关节外伤拟行手术术前患者作为研究对象,按照不同检查方式将患者分为观察组(n=126)与对照组(n=100)。观察组采用MRI 3D CUBE T_(2)序列检查,对照组采取常规MRI检查。比较两组患侧、健侧距腓前韧带测量结果、诊断效能。结果:两组患侧、健侧距腓前韧带宽度及厚度比较,差异无统计学意义(P>0.05)。观察组Ⅰ级踝关节外伤患者韧带损伤诊断准确度、敏感度、特异度、阳性预测值、阴性预测值高于对照组,Ⅱ级患者准确度、敏感度、阴性预测值高于对照组,Ⅲ级患者准确度、特异度、阳性预测值高于对照组,差异有统计学意义(P<0.05)。结论:MRI 3D CUBE T_(2)序列检查踝关节外伤患者韧带损伤诊断效能高于常规MRI检查,可作为治疗效果评价及康复治疗的重要依据。
基金the National Science and Technology Council(NSTC)of the Republic of China,Taiwan,for financially supporting this research under Contract No.NSTC 112-2637-M-131-001.
文摘Accurate and efficient brain tumor segmentation is essential for early diagnosis,treatment planning,and clinical decision-making.However,the complex structure of brain anatomy and the heterogeneous nature of tumors present significant challenges for precise anomaly detection.While U-Net-based architectures have demonstrated strong performance in medical image segmentation,there remains room for improvement in feature extraction and localization accuracy.In this study,we propose a novel hybrid model designed to enhance 3D brain tumor segmentation.The architecture incorporates a 3D ResNet encoder known for mitigating the vanishing gradient problem and a 3D U-Net decoder.Additionally,to enhance the model’s generalization ability,Squeeze and Excitation attention mechanism is integrated.We introduce Gabor filter banks into the encoder to further strengthen the model’s ability to extract robust and transformation-invariant features from the complex and irregular shapes typical in medical imaging.This approach,which is not well explored in current U-Net-based segmentation frameworks,provides a unique advantage by enhancing texture-aware feature representation.Specifically,Gabor filters help extract distinctive low-level texture features,reducing the effects of texture interference and facilitating faster convergence during the early stages of training.Our model achieved Dice scores of 0.881,0.846,and 0.819 for Whole Tumor(WT),Tumor Core(TC),and Enhancing Tumor(ET),respectively,on the BraTS 2020 dataset.Cross-validation on the BraTS 2021 dataset further confirmed the model’s robustness,yielding Dice score values of 0.887 for WT,0.856 for TC,and 0.824 for ET.The proposed model outperforms several state-of-the-art existing models,particularly in accurately identifying small and complex tumor regions.Extensive evaluations suggest integrating advanced preprocessing with an attention-augmented hybrid architecture offers significant potential for reliable and clinically valuable brain tumor segmentation.
文摘目的评价MRI 3D T2-SPACE诊断大脑中动脉及基底动脉狭窄的价值。方法选取2019年11月至2020年10月在南京医科大学附属淮安第一医院就诊的40例脑血管狭窄患者为研究对象,选取符合研究要求的大脑中动脉及基底动脉共120根。在入院1周内完成颅颈动脉MRI 3D T2-SPACE和数字减影血管造影(DSA)检查,分别评估动脉狭窄程度。按狭窄程度分成轻度(1%~49%)、中度(50%~69%)、重度(70%~99%)和闭塞(100%),和金标准DSA检查对照,计算灵敏度、特异度,并分析MRI 3D T2-SPACE和DSA诊断结果的一致性。结果MRI 3D T2-SPACE诊断大脑中动脉及基底动脉狭窄/闭塞的灵敏度、特异度结果如下,轻度狭窄分别为90.0%、96.4%,中度狭窄分别为77.8%、98.2%,重度狭窄分别为96.7%、97.8%,闭塞分别为87.5%、100.0%。MRI 3D T2-SPACE与DSA检查诊断大脑中动脉及基底动脉轻、中、重度狭窄及闭塞的一致性分别为0.760、0.760、0.934、0.929。结论MRI 3D T2-SPACE能够较准确地评估大脑中动脉及基底动脉狭窄程度,特别是对重度狭窄及闭塞的诊断与DSA检查结果高度一致,作为血管检查的一种全新技术,其将会在临床发挥重要作用。
