Sensor Array for Detection of Early Stage Parkinson's Disease before Medication
Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of...
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| Published in: | ACS chemical neuroscience Vol. 9; no. 11; p. 2548 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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United States
21.11.2018
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| ISSN: | 1948-7193, 1948-7193 |
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| Abstract | Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD. |
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| AbstractList | Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD. Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD.Early diagnosis of Parkinson's disease (PD) is important because it affects the choice of therapy and is subject to a relatively high degree of error. In addition, early detection of PD can potentially enable the start of neuroprotective therapy before extensive loss of dopaminergic neurons of the substantia nigra occurs. However, until now, studies for early detection of PD using volatile biomarkers sampled only treated and medicated patients. Therefore, there is a great need to evaluate untreated patients for establishing a real world screening and diagnostic technology. Here we describe for the first time a clinical trial to distinguish between de novo PD and control subjects using an electronic system for detection of volatile molecules in exhaled breath (sensor array). We further determine for the first time the association to other common tests for PD diagnostics as smell, ultrasound, and nonmotor symptoms. The test group consisted of 29 PD patients after initial diagnosis by an experienced neurologist, compared with 19 control subjects of similar age. The sensitivity, specificity, and accuracy values of the sensor array to detect PD from controls were 79%, 84%, and 81% respectively, in comparison with midbrain ultrasonography (93%, 90%, 92%) and smell detection (62%, 89%, 73%). The results confirm previous data showing the potential of sensor arrays to detect PD. |
| Author | Nakhleh, Morad K Schwartz, Miguel Abu Daoud, Enas Broza, Yoav Y Jeries, Raneen Finberg, John P M Ayubkhanov, Yelena Haick, Hossam Aboud-Hawa, Manal Badarny, Samih |
| Author_xml | – sequence: 1 givenname: John P M surname: Finberg fullname: Finberg, John P M organization: Neuroscience Department, Bruce Rappaport Faculty of Medicine , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 2 givenname: Miguel surname: Schwartz fullname: Schwartz, Miguel organization: Bruce Rappaport Faculty of Medicine , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 3 givenname: Raneen surname: Jeries fullname: Jeries, Raneen organization: Department of Chemical Engineering , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 4 givenname: Samih surname: Badarny fullname: Badarny, Samih organization: Bruce Rappaport Faculty of Medicine , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 5 givenname: Morad K surname: Nakhleh fullname: Nakhleh, Morad K organization: Department of Chemical Engineering , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 6 givenname: Enas surname: Abu Daoud fullname: Abu Daoud, Enas organization: Bruce Rappaport Faculty of Medicine , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 7 givenname: Yelena surname: Ayubkhanov fullname: Ayubkhanov, Yelena organization: Bruce Rappaport Faculty of Medicine , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 8 givenname: Manal surname: Aboud-Hawa fullname: Aboud-Hawa, Manal organization: Department of Chemical Engineering , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 9 givenname: Yoav Y surname: Broza fullname: Broza, Yoav Y organization: Department of Chemical Engineering , Technion - Israel Institute of Technology , Haifa 3200003 , Israel – sequence: 10 givenname: Hossam orcidid: 0000-0002-2370-4073 surname: Haick fullname: Haick, Hossam organization: Department of Chemical Engineering , Technion - Israel Institute of Technology , Haifa 3200003 , Israel |
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| Title | Sensor Array for Detection of Early Stage Parkinson's Disease before Medication |
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