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1. 发明授权

US07676254B2 System and method for detecting pain and its components using magnetic resonance spectroscopy 失效
标题翻译：使用磁共振光谱法检测疼痛及其成分的系统和方法
公开(公告)号：US07676254B2
公开(公告)日：2010-03-09
申请号：US10844297
申请日：2004-05-12
申请人： Philip John Siddall , Carolyn E. Mountford , Anne Woodhouse , Peter Stanwell , Rajmund L. Somorjai
发明人： Philip John Siddall , Carolyn E. Mountford , Anne Woodhouse , Peter Stanwell , Rajmund L. Somorjai
IPC分类号： A61B5/05
CPC分类号： A61B5/4824 , A61B5/055 , A61B5/14532 , G01R33/483
摘要： A system and method identifies different components of the pain experience (nociceptive (tissue damage), neuropathic (nerve damage) and psychological) and their relative contributions by the use of magnetic resonance spectroscopy (MRS) to measure absolute and relative concentrations of metabolites in specific brain regions in the central nervous system or brain. The system and method can be used as a diagnostic tool for the assessment of the relative contribution of different aspects of the pain experience as well as monitoring of response to interventions directed at modifying these components.
摘要翻译：系统和方法通过使用磁共振光谱（MRS）来测定疼痛经验（伤害性（组织损伤），神经损伤（神经损伤）和心理）的不同组成部分及其相对贡献来测量特异性的代谢物的绝对和相对浓度中枢神经系统或大脑中的脑区。该系统和方法可用作诊断工具，用于评估疼痛经验的不同方面的相对贡献以及监测针对修改这些组件的干预措施的响应。

2. 发明申请

US20120238862A1 System and Method for Detecting Pain and Its Components Using Magnetic Resonance 有权
标题翻译：使用磁共振检测疼痛及其成分的系统和方法
公开(公告)号：US20120238862A1
公开(公告)日：2012-09-20
申请号：US13426324
申请日：2012-03-21
申请人： Philip John Siddall , Carolyn E. Mountford , Anne Woodhouse , Peter Stanwell , Rajmund L. Somorjai
发明人： Philip John Siddall , Carolyn E. Mountford , Anne Woodhouse , Peter Stanwell , Rajmund L. Somorjai
IPC分类号： A61B5/055
CPC分类号： A61B5/4824 , A61B5/055 , A61B5/14532 , G01R33/483
摘要： A system and method identifies different components of the pain experience (nociceptive (tissue damage), neuropathic (nerve damage) and psychological) and their relative contributions by the use of magnetic resonance spectroscopy (MRS) to measure absolute and relative concentrations of metabolites in specific brain regions in the central nervous system or brain. The system and method can be used as a diagnostic tool for the assessment of the relative contribution of different aspects of the pain experience as well as monitoring of response to interventions directed at modifying these components.
摘要翻译：系统和方法通过使用磁共振光谱（MRS）来测定疼痛经验（伤害性（组织损伤），神经损伤（神经损伤）和心理）的不同组成部分及其相对贡献来测量特异性的代谢物的绝对和相对浓度中枢神经系统或大脑中的脑区。该系统和方法可用作诊断工具，用于评估疼痛经验的不同方面的相对贡献以及监测针对修改这些组件的干预措施的响应。

3. 发明授权

US08404487B2 Magnetic resonance spectroscopy of breast biopsy to determine pathology, vascularization and nodal involvement 失效
标题翻译：乳腺活检的磁共振光谱法确定病理，血管化和淋巴结转移
公开(公告)号：US08404487B2
公开(公告)日：2013-03-26
申请号：US12072327
申请日：2008-02-26
申请人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
发明人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
IPC分类号： G01N33/48 , G06F19/00 , A61B5/05
CPC分类号： G06F19/366 , G01N24/08 , G01R33/20 , G01R33/4625 , G01R33/465 , G16H10/40 , Y10T436/24
摘要： Robust classification methods analyse magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumors. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%. From the same spectrum, lymph node involvement was predicted with an accuracy of 95% and tumor vascularization with an overall accuracy of 92%.
摘要翻译：鲁棒分类方法分析从乳腺肿瘤获取的细针抽吸物的磁共振谱（MRS）数据（光谱）。与组织病理学和临床标准相比，得到的数据提供了非常高的精度和可靠性的基于计算机分类的诊断和预后。在光谱和标准天气病理学发现之间进行的诊断相关性包括关于病理学（恶性与良性），原发性癌症的血管浸润和切除的腋窝淋巴结的淋巴结的细节的细节。分类策略包括三个阶段：预处理MR幅度谱以识别最佳光谱区域，交叉验证线性判别分析和通过计算机共识诊断分类聚合。恶性组织与良性病变区分开，总体准确率为93％。从同一频谱，预测淋巴结参与率为95％，肿瘤血管化的准确度为92％。

4. 发明申请

US20130245957A1 Magnetic Resonance Spectroscopy of Breast Biopsy to Determine Pathology, Vascularization and Nodal Development 审中-公开
标题翻译：乳腺活检的磁共振光谱法确定病理，血管形成和淋巴结发育
公开(公告)号：US20130245957A1
公开(公告)日：2013-09-19
申请号：US13781134
申请日：2013-02-28
申请人： Carolyn E. Mountford , Peter Russell , Ian C.P. Smith , Rajmund L. Somorjai
发明人： Carolyn E. Mountford , Peter Russell , Ian C.P. Smith , Rajmund L. Somorjai
IPC分类号： G06F19/00 , G01R33/20
CPC分类号： G01R33/20 , G01N24/08 , G01R33/4625 , G01R33/465 , G16H10/40 , Y10T436/24
摘要： Robust classification methods analyse magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumours. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%. From the same spectrum, lymph node involvement was predicted with an accuracy of 95% and tumour vascularisation with an overall accuracy of 92%.
摘要翻译：鲁棒分类方法分析从乳腺肿瘤获取的细针抽吸物的磁共振谱（MRS）数据（光谱）。与组织病理学和临床标准相比，得到的数据提供了非常高的精度和可靠性的基于计算机分类的诊断和预后。在光谱和标准天气病理学发现之间进行的诊断相关性包含关于病理学（恶性与良性），原发性癌症的血管浸润和切除的腋窝淋巴结的淋巴结的细节的细节。分类策略包括三个阶段：预处理MR幅度谱以识别最佳光谱区域，交叉验证线性判别分析和通过计算机共识诊断分类聚合。恶性组织与良性病变区分开，总体准确率为93％。从同一频谱，预测淋巴结参与率为95％，肿瘤血管形成的准确度为92％。

5. 发明申请

US20080219932A1 Magnetic resonance spectroscopy of breast biopsy to determine pathology, vascularization and nodal involvement 失效
标题翻译：乳腺活检的磁共振光谱法确定病理，血管化和淋巴结转移
公开(公告)号：US20080219932A1
公开(公告)日：2008-09-11
申请号：US12072327
申请日：2008-02-26
申请人： Carolyn E. Mountford , Peter Russell , Ian C.P. Smith , Rajmund L. Somorjai
发明人： Carolyn E. Mountford , Peter Russell , Ian C.P. Smith , Rajmund L. Somorjai
IPC分类号： A61K49/00 , A61P43/00 , G06F17/30
CPC分类号： G06F19/366 , G01N24/08 , G01R33/20 , G01R33/4625 , G01R33/465 , G16H10/40 , Y10T436/24
摘要： Robust classification methods analyse magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumours. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%. From the same spectrum, lymph node involvement was predicted with an accuracy of 95% and tumour vascularisation with an overall accuracy of 92%.
摘要翻译：鲁棒分类方法分析从乳腺肿瘤获取的细针抽吸物的磁共振谱（MRS）数据（光谱）。与组织病理学和临床标准相比，得到的数据提供了非常高的精度和可靠性的基于计算机分类的诊断和预后。在光谱和标准天气病理学发现之间进行的诊断相关性包含关于病理学（恶性与良性），原发性癌症的血管浸润和切除的腋窝淋巴结的淋巴结的细节的细节。分类策略包括三个阶段：预处理MR幅度谱以识别最佳光谱区域，交叉验证线性判别分析和通过计算机共识诊断分类聚合。恶性组织与良性病变区分开，总体准确率为93％。从同一频谱，预测淋巴结参与率为95％，肿瘤血管形成的准确度为92％。

6. 发明授权

US07335511B2 Magnetic resonance spectroscopy to classify tissue 有权
标题翻译：磁共振光谱法分类组织
公开(公告)号：US07335511B2
公开(公告)日：2008-02-26
申请号：US11012959
申请日：2004-12-15
申请人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
发明人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
IPC分类号： G01N33/48 , G06F19/00 , A61B5/05
CPC分类号： G06F19/366 , G01N24/08 , G01R33/20 , G01R33/4625 , G01R33/465 , G16H10/40 , Y10T436/24
摘要： Robust classification methods analyze magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumors. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%. From the same spectrum, lymph node involvement was predicted with an accuracy of 95% and tumor vascularisation with an overall accuracy of 92%.
摘要翻译：鲁棒分类方法分析从乳腺肿瘤获取的细针抽吸物的磁共振谱（MRS）数据（光谱）。与组织病理学和临床标准相比，得到的数据提供了非常高的精度和可靠性的基于计算机分类的诊断和预后。在光谱和标准天气病理学发现之间进行的诊断相关性包含关于病理学（恶性与良性），原发性癌症的血管浸润和切除的腋窝淋巴结的淋巴结的细节的细节。分类策略包括三个阶段：预处理MR幅度谱以识别最佳光谱区域，交叉验证线性判别分析和通过计算机共识诊断分类聚合。恶性组织与良性病变区分开，总体准确率为93％。从同一频谱，预测淋巴结参与率为95％，肿瘤血管形成的准确度为92％。

7. 发明授权

US06835572B1 Magnetic resonance spectroscopy of breast biopsy to determine pathology, vascularization and nodal involvement 有权
标题翻译：乳腺活检的磁共振光谱法确定病理，血管化和淋巴结转移
公开(公告)号：US06835572B1
公开(公告)日：2004-12-28
申请号：US09691776
申请日：2000-10-18
申请人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
发明人： Carolyn E. Mountford , Peter Russell , Ian C. P. Smith , Rajmund L. Somorjai
IPC分类号： G01N3348
CPC分类号： G06F19/366 , G01N24/08 , G01R33/20 , G01R33/4625 , G01R33/465 , G16H10/40 , Y10T436/24
摘要： Robust classification methods analyse magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumours. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%. From the same spectrum, lymph node involvement was predicted with an accuracy of 95% and tumour vascularisation with an overall accuracy of 92%.
摘要翻译：鲁棒分类方法分析从乳腺肿瘤获取的细针抽吸物的磁共振谱（MRS）数据（光谱）。与组织病理学和临床标准相比，得到的数据提供了非常高的精度和可靠性的基于计算机分类的诊断和预后。在光谱和标准天气病理学发现之间进行的诊断相关性包含关于病理学（恶性与良性），原发性癌症的血管浸润和切除的腋窝淋巴结的淋巴结的细节的细节。分类策略包括三个阶段：预处理MR幅度谱以识别最佳光谱区域，交叉验证线性判别分析和通过计算机共识诊断分类聚合。恶性组织与良性病变区分开，总体准确率为93％。从同一频谱，预测淋巴结参与率为95％，肿瘤血管形成的准确度为92％。

8. 发明授权

US5318031A Method and apparatus for determining chemical states of living animal or human tissue using nuclear magnetic resonance 失效
标题翻译：使用核磁共振测定活体动物或人体组织的化学状态的方法和装置
公开(公告)号：US5318031A
公开(公告)日：1994-06-07
申请号：US842148
申请日：1992-05-19
申请人： Carolyn E. Mountford , Peter Russell
发明人： Carolyn E. Mountford , Peter Russell
IPC分类号： A61B5/055 , G01N24/08 , G01R33/46 , G01R33/465
CPC分类号： G01R33/465 , Y10T436/24
摘要： In a method for determining chemical states of living animal or human tissue using nuclear magnetic resonance with a homogeneous constant magnetic field, the tissue is measured by means of a high-resolution nuclear magnetic resonance measurement and the measured values obtained are then evaluated by comparison with measured values from resonance measurements on comparable tissue to determine whether the chemical state of the tissue corresponds to a chemical normal state or to a deviating abnormal state. In order to enable a determination of chemical intermediate states to be made, it is proposed to compare the measured values obtained with such a series of reference measurements which also contain the detectable characteristic transition states between the chemical normal state and the abnormal end state and that the chemical transition state of the measured tissue sample is determined from the comparison.
摘要翻译： PCT No.PCT / DE90 / 00556 Sec。 371日期：1992年5月19日 102（e）日期1992年5月19日PCT提交1990年7月23日PCT公布。出版物WO92 / 01946 日本1992年2月6日。在使用具有均匀恒定磁场的核磁共振测定活体动物或人体组织的化学状态的方法中，通过高分辨率核磁共振测量和测量值然后通过与可比较组织上的共振测量的测量值进行比较来评估获得的结果，以确定组织的化学状态是否对应于化学正常状态或偏离异常状态。为了能够确定化学中间状态，建议比较所获得的测量值与这样的一系列参考测量值，该参考测量值也包含化学正常状态和异常结束状态之间的可检测特性跃迁状态，从比较中确定测定的组织样品的化学过渡状态。

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