Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global mortality.This study addresses the pressing issue of brain tumor classification using Mag...Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global mortality.This study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more aggressive.The research introduces an innovative custom convolutional neural network(CNN)model,Glioma-CNN.GliomaCNN stands out as a lightweight CNN model compared to its predecessors.The research utilized the BraTS 2020 dataset for its experiments.Integrated with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification outcomes.Despite challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.展开更多
BACKGROUND Determination of platybasia and basilar kyphosis are significant parts of routine cranial magnetic resonance(MR)interpretations.These situations may explain a patient’s symptoms or may be associated with o...BACKGROUND Determination of platybasia and basilar kyphosis are significant parts of routine cranial magnetic resonance(MR)interpretations.These situations may explain a patient’s symptoms or may be associated with other anomalies.AIM To indicate the interobserver and intraobserver reliability of the skull base angles(SBA)(Koenigsberg standard)and modified SBA(mSBA)measurement techniques.METHODS In total,391 patients who had undergone cranial MR imaging were re-assessed regarding the SBA measurements.The SBA and mSBA techniques were used on MR images.Two reviewers independently measured the same angles twice within a 15-day interval,using different monitors.Intraclass correlation coefficient(ICC)was calculated to reveal the intraobserver and interobserver agreements.RESULTS There was an excellent agreement between reviewers regarding both angle measurements(ICC was 0.998 for SBA and mSBA).Excellent agreement levels were also observed for intraobserver measurements.ICC was 0.998 for SBA and 0.999 for mSBA for reviewer 1.ICC was 0.997 for SBA and 0.999 for mSBA according to the measurement results of reviewer 2.Higher SBA and mSBA values were observed for females compared to males.There was no correlation between SBA and age for SBA.However,a negative and low-level correlation was observed between mSBA values and age for both reviewers.CONCLUSION SBA and mSBA measurements indicated excellent agreement regarding interobserver and intraobserver differences.The study results showed that SBA angles were reliable measurement techniques to be used on MR images.展开更多
目的:基于MRI定量非对称回波最小二乘估算水脂分离(iterative decomposition of water and fat with echo asymmetry and least-squares estimation image quantitation,IDEAL-IQ)技术探讨成年人腰椎不同节段骨髓脂肪与年龄和性别的关...目的:基于MRI定量非对称回波最小二乘估算水脂分离(iterative decomposition of water and fat with echo asymmetry and least-squares estimation image quantitation,IDEAL-IQ)技术探讨成年人腰椎不同节段骨髓脂肪与年龄和性别的关系。方法:收集298例受检者的MRI IDEAL-IQ脂肪分数图像,其中男性138例,女性160例,年龄20~69岁。将所有患者按照每10岁为一个年龄段分为5组:20~29岁(20~组),男24例,女20例;30~39岁(30~组),男47例,女39例;40~49岁(40~组),男36例,女47例;50~59岁(50~组),男20例,女37例;60~69岁(60~组),男11例,女17例。使用脂肪分数图在GE ADW4.6工作站测量L1~L5的骨髓质子密度脂肪分数(proton density fat fraction,PDFF)。结果:同一年龄组、不同性别间PDFF存在差异,20~、30~、40~组人群中,男性L1~L5椎体PDFF均高于女性(P<0.05);50~组人群中男性L1~L5椎体PDFF与女性的差异无统计学意义(P>0.05);60~组人群,男性L1~L5椎体PDFF均低于女性(P<0.05)。腰椎椎体PDFF与年龄呈正相关,女性(r=0.72,P<0.05)相关性高于男性(r=0.32,P<0.05)。从20~69岁,男性L4 PDFF增长率最大(21.08%),女性L1 PDFF增长率最大(65.68%);男性各椎体PDFF增长主要集中在30~及50~组,其中L1、L4、L5椎体PDFF在50~组增长率最大,L2、L3椎体PDFF在30~岁组增长率最大;女性各椎体PDFF在30~组呈轻微下降趋势,此后各椎体PDFF逐渐升高,增长主要集中在40~、50~、60~三个年龄组,其中50~组增长率最大。结论:成人不同年龄组男女性各椎体脂肪分布存在差异,椎体PDFF增长率也有所不同;腰椎不同节段椎体PDFF均与年龄呈正相关。展开更多
目的探讨MR灌注加权成像(perfusion weighted imaging,PWI)的局部特征和全脑特征在急性脑卒中血管内治疗后预后中的价值。材料与方法回顾性分析在我院就诊的180例急性脑卒中患者的PWI图像。采用ITK-SNAP软件勾画Tmax图的灌注异常感兴趣...目的探讨MR灌注加权成像(perfusion weighted imaging,PWI)的局部特征和全脑特征在急性脑卒中血管内治疗后预后中的价值。材料与方法回顾性分析在我院就诊的180例急性脑卒中患者的PWI图像。采用ITK-SNAP软件勾画Tmax图的灌注异常感兴趣区,应用SPM软件自动分割Tmax图全脑区。应用AK软件分别提取局部和全脑特征并降维,通过支持向量机分类器构建急性脑卒中预后模型并寻找最优预测模型。结果经最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)降维后与预后最相关的局部特征为6个、全脑特征为5个、联合局部和全脑的特征为10个。受试者工作特征(receiver operating characteristic,ROC)曲线分析结果显示基于局部和全脑特征构建的急性脑卒中预后预测模型的曲线下面积(area under the curve,AUC)为0.900,敏感度和特异度分别为82.3%、89.1%,明显优于局部特征模型(AUC=0.706;Z=-3.248;P=0.001)和全脑特征模型(AUC=0.711;Z=-3.393;P<0.001)。结论联合局部和全脑的PWI特征可更为准确地预测急性脑卒中患者预后,为临床早期干预提供个性化指导。展开更多
基金This research is funded by the Researchers Supporting Project Number(RSPD2024R1027),King Saud University,Riyadh,Saudi Arabia.
文摘Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global mortality.This study addresses the pressing issue of brain tumor classification using Magnetic resonance imaging(MRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more aggressive.The research introduces an innovative custom convolutional neural network(CNN)model,Glioma-CNN.GliomaCNN stands out as a lightweight CNN model compared to its predecessors.The research utilized the BraTS 2020 dataset for its experiments.Integrated with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation Mapping(Grad-CAM++).They provide insights into critical decision-making regions for classification outcomes.Despite challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.
文摘BACKGROUND Determination of platybasia and basilar kyphosis are significant parts of routine cranial magnetic resonance(MR)interpretations.These situations may explain a patient’s symptoms or may be associated with other anomalies.AIM To indicate the interobserver and intraobserver reliability of the skull base angles(SBA)(Koenigsberg standard)and modified SBA(mSBA)measurement techniques.METHODS In total,391 patients who had undergone cranial MR imaging were re-assessed regarding the SBA measurements.The SBA and mSBA techniques were used on MR images.Two reviewers independently measured the same angles twice within a 15-day interval,using different monitors.Intraclass correlation coefficient(ICC)was calculated to reveal the intraobserver and interobserver agreements.RESULTS There was an excellent agreement between reviewers regarding both angle measurements(ICC was 0.998 for SBA and mSBA).Excellent agreement levels were also observed for intraobserver measurements.ICC was 0.998 for SBA and 0.999 for mSBA for reviewer 1.ICC was 0.997 for SBA and 0.999 for mSBA according to the measurement results of reviewer 2.Higher SBA and mSBA values were observed for females compared to males.There was no correlation between SBA and age for SBA.However,a negative and low-level correlation was observed between mSBA values and age for both reviewers.CONCLUSION SBA and mSBA measurements indicated excellent agreement regarding interobserver and intraobserver differences.The study results showed that SBA angles were reliable measurement techniques to be used on MR images.
文摘目的:基于MRI定量非对称回波最小二乘估算水脂分离(iterative decomposition of water and fat with echo asymmetry and least-squares estimation image quantitation,IDEAL-IQ)技术探讨成年人腰椎不同节段骨髓脂肪与年龄和性别的关系。方法:收集298例受检者的MRI IDEAL-IQ脂肪分数图像,其中男性138例,女性160例,年龄20~69岁。将所有患者按照每10岁为一个年龄段分为5组:20~29岁(20~组),男24例,女20例;30~39岁(30~组),男47例,女39例;40~49岁(40~组),男36例,女47例;50~59岁(50~组),男20例,女37例;60~69岁(60~组),男11例,女17例。使用脂肪分数图在GE ADW4.6工作站测量L1~L5的骨髓质子密度脂肪分数(proton density fat fraction,PDFF)。结果:同一年龄组、不同性别间PDFF存在差异,20~、30~、40~组人群中,男性L1~L5椎体PDFF均高于女性(P<0.05);50~组人群中男性L1~L5椎体PDFF与女性的差异无统计学意义(P>0.05);60~组人群,男性L1~L5椎体PDFF均低于女性(P<0.05)。腰椎椎体PDFF与年龄呈正相关,女性(r=0.72,P<0.05)相关性高于男性(r=0.32,P<0.05)。从20~69岁,男性L4 PDFF增长率最大(21.08%),女性L1 PDFF增长率最大(65.68%);男性各椎体PDFF增长主要集中在30~及50~组,其中L1、L4、L5椎体PDFF在50~组增长率最大,L2、L3椎体PDFF在30~岁组增长率最大;女性各椎体PDFF在30~组呈轻微下降趋势,此后各椎体PDFF逐渐升高,增长主要集中在40~、50~、60~三个年龄组,其中50~组增长率最大。结论:成人不同年龄组男女性各椎体脂肪分布存在差异,椎体PDFF增长率也有所不同;腰椎不同节段椎体PDFF均与年龄呈正相关。
文摘目的探讨MR灌注加权成像(perfusion weighted imaging,PWI)的局部特征和全脑特征在急性脑卒中血管内治疗后预后中的价值。材料与方法回顾性分析在我院就诊的180例急性脑卒中患者的PWI图像。采用ITK-SNAP软件勾画Tmax图的灌注异常感兴趣区,应用SPM软件自动分割Tmax图全脑区。应用AK软件分别提取局部和全脑特征并降维,通过支持向量机分类器构建急性脑卒中预后模型并寻找最优预测模型。结果经最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)降维后与预后最相关的局部特征为6个、全脑特征为5个、联合局部和全脑的特征为10个。受试者工作特征(receiver operating characteristic,ROC)曲线分析结果显示基于局部和全脑特征构建的急性脑卒中预后预测模型的曲线下面积(area under the curve,AUC)为0.900,敏感度和特异度分别为82.3%、89.1%,明显优于局部特征模型(AUC=0.706;Z=-3.248;P=0.001)和全脑特征模型(AUC=0.711;Z=-3.393;P<0.001)。结论联合局部和全脑的PWI特征可更为准确地预测急性脑卒中患者预后,为临床早期干预提供个性化指导。
