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1. 发明授权

US11517246B2 Method for diagnosing neurological disorder by magnetic resonance imaging 有权
公开(公告)号：US11517246B2
公开(公告)日：2022-12-06
申请号：US15923919
申请日：2018-03-16
申请人： Chang Gung University , Chang Gung Memorial Hospital, Linkou , Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung
发明人： Jiun-Jie Wang , Yi-Hsin Weng , Shu-Hang Ng , Jur-Shan Cheng , Yi-Ming Wu , Yao-Liang Chen , Wey-Yil Lin , Chin-Song Lu , Wen-Chuin Hsu , Chia-Ling Chen , Yi-Chun Chen , Sung-Han Lin , Chih-Chien Tsai
IPC分类号： A61B5/00 , A61B5/055 , G06T7/00
摘要： Disclosed herein is a method for diagnosing a neurological disorder based on at least one magnetic resonance imaging (MRI) image. The method includes identifying brain image regions that contain a respective portion of diffusion index values of at least one diffusion index. For each of the brain image regions, a characteristic parameter based on the respective portion of the diffusion index values is calculated. a diagnoses is then made for the brain using one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.

2. 发明授权

US11931187B2 Method for predicting clinical severity of a neurological disorder by magnetic resonance imaging 有权
公开(公告)号：US11931187B2
公开(公告)日：2024-03-19
申请号：US15923929
申请日：2018-03-16
申请人： Chang Gung University , Chang Gung Memorial Hospital, Linkou , Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung
发明人： Jiun-Jie Wang , Yi-Hsin Weng , Shu-Hang Ng , Jur-Shan Cheng , Yi-Ming Wu , Yao-Liang Chen , Wey-Yil Lin , Chin-Song Lu , Wen-Chuin Hsu , Chia-Ling Chen , Yi-Chun Chen , Sung-Han Lin , Chih-Chien Tsai
IPC分类号： A61B5/00 , A61B5/055 , G06T7/00
CPC分类号： A61B5/7275 , A61B5/0042 , A61B5/055 , A61B5/4082 , A61B5/4088 , G06T7/0012 , G06T7/0016 , G06T2207/10092 , G06T2207/30016
摘要： A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

3. 发明授权

US10883142B2 Risk assessment for phenytoin-induced adverse drug reactions 有权
公开(公告)号：US10883142B2
公开(公告)日：2021-01-05
申请号：US15286238
申请日：2016-10-05
申请人： CHANG GUNG MEDICAL FOUNDATION CHANG GUNG MEMORIAL HOSPITAL AT KEELUNG , NATIONAL YANG-MING UNIVERSITY
发明人： Wen-Hung Chung , Shuen-Iu Hung
IPC分类号： C12Q1/6881 , C12Q1/6883
摘要： A method of predicting the risk of a patient for developing phenytoin-induced adverse drug reactions (ADRs), including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), or drug reactions with eosinophilia and systemic symptoms (DRESS) is disclosed. Genetic polymorphisms of CYP2C genes (including rs1057910 (CYP2C9*3) and rs3758581 on CYP2C19), and HLA alleles (including HLA-B*1502, HLA-B*1301, and HLA-B*5101) can predict adverse reactions caused by phenytoin or fosphenytoin. Accordingly, the present invention provides a kit to assess the risk of a patient for developing adverse reactions in response to phenytoin-related drugs, which comprises the determination of the presence of a specific allele selected from the group consisting of rs1057910 (CYP2C9*3), rs3758581 on CYP2C19, HLA-B*1502, HLA-B*1301, and HLA-B*5101, wherein the presence of at least one allele is indicative of a risk for the adverse drug reactions.

4. 发明申请

US20180263569A1 METHOD FOR PREDICTING CLINICAL SEVERITY OF A NEUROLOGICAL DISORDER BY MAGNETIC RESONANCE IMAGING 审中-公开
公开(公告)号：US20180263569A1
公开(公告)日：2018-09-20
申请号：US15923929
申请日：2018-03-16
申请人： Chang Gung University , Chang Gung Memorial Hospital, Linkou , Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung
发明人： Jiun-Jie Wang , Yi-Hsin Weng , Shu-Hang Ng , Jur-Shan Cheng , Yi-Ming Wu , Yao-Liang Chen , Wey-Yil Lin , Chin-Song Lu , Wen-Chuin Hsu , Chia-Ling Chen , Yi-Chun Chen , Sung-Han Lin , Chih-Chien Tsai
IPC分类号： A61B5/00 , G06T7/00 , A61B5/055
CPC分类号： A61B5/7275 , A61B5/0042 , A61B5/055 , A61B5/4082 , A61B5/4088 , G06T7/0012 , G06T7/0016 , G06T2207/10092 , G06T2207/30016
摘要： A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

5. 发明申请

US20170022561A1 RISK ASSESSMENT FOR PHENYTOIN-INDUCED ADVERSE DRUG REACTIONS 审中-公开
标题翻译：苯妥英诱导的不良药物反应的风险评估
公开(公告)号：US20170022561A1
公开(公告)日：2017-01-26
申请号：US15286238
申请日：2016-10-05
申请人： CHANG GUNG MEDICAL FOUNDATION CHANG GUNG MEMORIAL HOSPITAL AT KEELUNG
发明人： WEN-HUNG CHUNG , SHUEN-IU HUNG
IPC分类号： C12Q1/68
CPC分类号： C12Q1/6881 , C12Q1/6883 , C12Q2600/106 , C12Q2600/118 , C12Q2600/156 , C12Q2600/172
摘要： A method of predicting the risk of a patient for developing phenytoin-induced adverse drug reactions (ADRs), including Stevens-Johnson syndrome (SJS), toxic epidermal necrolysis (TEN), or drug reactions with eosinophilia and systemic symptoms (DRESS) is disclosed. Genetic polymorphisms of CYP2C genes (including rs1057910 (CYP2C9*3) and rs3758581 on CYP2C19), and HLA alleles (including HLA-B*1502, HLA-B*1301, and HLA-B*5101) can predict adverse reactions caused by phenytoin or fosphenytoin. Accordingly, the present invention provides a kit to assess the risk of a patient for developing adverse reactions in response to phenytoin-related drugs, which comprises the determination of the presence of a specific allele selected from the group consisting of rs1057910 (CYP2C9*3), rs3758581 on CYP2C19, HLA-B*1502, HLA-B*1301, and HLA-B*5101, wherein the presence of at least one allele is indicative of a risk for the adverse drug reactions.
摘要翻译：公开了一种预测患者发生苯妥英诱导的不良药物反应（ADR）（包括史蒂文森 - 约翰逊综合征（SJS）），中毒性表皮坏死松解症（TEN）或与嗜酸性粒细胞增多症和全身症状（DRESS）的药物反应）风险的方法。 CYP2C基因（包括CYP2C19的rs1057910（CYP2C9 * 3）和rs3758581）和HLA等位基因（包括HLA-B * 1502，HLA-B * 1301和HLA-B * 5101）的遗传多态性可以预测苯妥英引起的不良反应或fosphenytoin。因此，本发明提供了一种用于评估患者对苯妥英相关药物产生不良反应的风险的试剂盒，其包括确定选自rs1057910（CYP2C9 * 3）的特异性等位基因的存在，，CYP2C19上的rs3758581，HLA-B * 1502，HLA-B * 1301和HLA-B * 5101，其中至少一个等位基因的存在表明药物不良反应的风险。

6. 发明申请

US20180263548A1 METHOD FOR DIAGNOSING NEUROLOGICAL DISORDER BY MAGNETIC RESONANCE IMAGING 审中-公开
公开(公告)号：US20180263548A1
公开(公告)日：2018-09-20
申请号：US15923919
申请日：2018-03-16
申请人： Chang Gung University , Chang Gung Memorial Hospital, Linkou , Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung
发明人： Jiun-Jie Wang , Yi-Hsin Weng , Shu-Hang Ng , Jur-Shan Cheng , Yi-Ming Wu , Yao-Liang Chen , Wey-Yil Lin , Chin-Song Lu , Wen-Chuin Hsu , Chia-Ling Chen , Yi-Chun Chen , Sung-Han Lin , Chih-Chien Tsai
IPC分类号： A61B5/00 , A61B5/055 , G06T7/00
CPC分类号： A61B5/4064 , A61B5/0042 , A61B5/055 , A61B5/4082 , A61B5/4088 , A61B5/7264 , G06T7/0012 , G06T2207/10088 , G06T2207/10092 , G06T2207/20081 , G06T2207/30016
摘要： A method is to be implemented by a computing device and includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image, brain image regions each of which contains a respective portion of diffusion index values of at least one diffusion index, which results from image processing performed on said at least one MRI image; b) for each of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) diagnosing the brain examined with one of predetermined categories of the neurological disorder by performing classification on a combination of the characteristic parameters via a classifier.

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