The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Kenneth D Winkel - One of the best experts on this subject based on the ideXlab platform.
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prospective assessment of the False Positive Rate of the australian snake venom detection kit in healthy human samples
Toxicon, 2016Co-Authors: Vasilios Nimorakiotakis, Kenneth D WinkelAbstract:The Snake Venom Detection Kit (SVDK; bioCSL Pty Ltd, Australia) distinguishes venom from the five most medically significant snake immunotypes found in Australia. This study assesses the Rate of False Positives that, by definition, refers to a Positive assay finding in a sample from someone who has not been bitten by a venomous snake. Control unbroken skin swabs, simulated bite swabs and urine specimens were collected from 61 healthy adult volunteers [33 males and 28 females] for assessment. In all controls, simulated bite site and urine samples [a total of 183 tests], the Positive control well reacted strongly within one minute and no test wells reacted during the ten minute incubation period. However, in two urine tests, the negative control well gave a Positive reaction (indicating an uninterpretable test). A 95% confidence interval for the False Positive Rate, on a per-patient Rate, derived from the findings of this study, would extend from 0% to 6% and, on a per-test basis, it would be 0 to 2%. It appears to be a very low incidence (0-6%) of intrinsic true False Positives for the SVDK. The clinical impresssion of a high SVDK False Positive Rate may be mostly related to operator error. Language: en
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prospective assessment of the False Positive Rate of the australian snake venom detection kit in healthy human samples
Toxicon, 2016Co-Authors: Vasilios Nimorakiotakis, Kenneth D WinkelAbstract:The Snake Venom Detection Kit (SVDK; bioCSL Pty Ltd, Australia) distinguishes venom from the five most medically significant snake immunotypes found in Australia. This study assesses the Rate of False Positives that, by definition, refers to a Positive assay finding in a sample from someone who has not been bitten by a venomous snake. Control unbroken skin swabs, simulated bite swabs and urine specimens were collected from 61 healthy adult volunteers [33 males and 28 females] for assessment. In all controls, simulated bite site and urine samples [a total of 183 tests], the Positive control well reacted strongly within one minute and no test wells reacted during the ten minute incubation period. However, in two urine tests, the negative control well gave a Positive reaction (indicating an uninterpretable test). A 95% confidence interval for the False Positive Rate, on a per-patient Rate, derived from the findings of this study, would extend from 0% to 6% and, on a per-test basis, it would be 0-2%. It appears to be a very low incidence (0-6%) of intrinsic true False Positives for the SVDK. The clinical impresssion of a high SVDK False Positive Rate may be mostly related to operator error.
Vasilios Nimorakiotakis - One of the best experts on this subject based on the ideXlab platform.
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prospective assessment of the False Positive Rate of the australian snake venom detection kit in healthy human samples
Toxicon, 2016Co-Authors: Vasilios Nimorakiotakis, Kenneth D WinkelAbstract:The Snake Venom Detection Kit (SVDK; bioCSL Pty Ltd, Australia) distinguishes venom from the five most medically significant snake immunotypes found in Australia. This study assesses the Rate of False Positives that, by definition, refers to a Positive assay finding in a sample from someone who has not been bitten by a venomous snake. Control unbroken skin swabs, simulated bite swabs and urine specimens were collected from 61 healthy adult volunteers [33 males and 28 females] for assessment. In all controls, simulated bite site and urine samples [a total of 183 tests], the Positive control well reacted strongly within one minute and no test wells reacted during the ten minute incubation period. However, in two urine tests, the negative control well gave a Positive reaction (indicating an uninterpretable test). A 95% confidence interval for the False Positive Rate, on a per-patient Rate, derived from the findings of this study, would extend from 0% to 6% and, on a per-test basis, it would be 0 to 2%. It appears to be a very low incidence (0-6%) of intrinsic true False Positives for the SVDK. The clinical impresssion of a high SVDK False Positive Rate may be mostly related to operator error. Language: en
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prospective assessment of the False Positive Rate of the australian snake venom detection kit in healthy human samples
Toxicon, 2016Co-Authors: Vasilios Nimorakiotakis, Kenneth D WinkelAbstract:The Snake Venom Detection Kit (SVDK; bioCSL Pty Ltd, Australia) distinguishes venom from the five most medically significant snake immunotypes found in Australia. This study assesses the Rate of False Positives that, by definition, refers to a Positive assay finding in a sample from someone who has not been bitten by a venomous snake. Control unbroken skin swabs, simulated bite swabs and urine specimens were collected from 61 healthy adult volunteers [33 males and 28 females] for assessment. In all controls, simulated bite site and urine samples [a total of 183 tests], the Positive control well reacted strongly within one minute and no test wells reacted during the ten minute incubation period. However, in two urine tests, the negative control well gave a Positive reaction (indicating an uninterpretable test). A 95% confidence interval for the False Positive Rate, on a per-patient Rate, derived from the findings of this study, would extend from 0% to 6% and, on a per-test basis, it would be 0-2%. It appears to be a very low incidence (0-6%) of intrinsic true False Positives for the SVDK. The clinical impresssion of a high SVDK False Positive Rate may be mostly related to operator error.
Jing Wang - One of the best experts on this subject based on the ideXlab platform.
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integrating manual diagnosis into radiomics for reducing the False Positive Rate of 18 f fdg pet ct diagnosis in patients with suspected lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, 2019Co-Authors: Fei Kang, Jie Gong, Wei Qin, Shengjun Wang, Jie Tian, Jing WangAbstract:The high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer screening represents a severe challenge for clinical decision-making. This study aimed to develop a clinical-translatable radiomics nomogram for reducing the FPR of PET/CT in lung cancer diagnosis, and to determine the impact of integrating manual diagnosis to the performance of the radiomics nomogram. Among 3,947 18F-FDG PET/CT-screened patients with lung lesion, 157 malignant and 111 benign patients were retrospectively enrolled and divided into training and test cohorts. The data of manual diagnosis were recorded. A total of 4,338 features were extracted from CT, thin-section CT, PET and PET/CT, and the four radiomics signatures (RS) were then geneRated by LASSO method. Radiomics prediction nomogram integrating imaging-based RS and manual diagnosis was developed using multivariable logistic regression. The performances of RS and prediction nomograms were independently validated through key discrimination index and clinical benefit. The FPR of manual diagnosis was found to be 30.6%. Among the four RS, PET/CT RS exhibited the best performance. By integrating manual diagnosis, the hybrid nomogram integrating PET/CT RS and manual diagnosis demonstRated lowest FPR and highest area under curve (AUC) and Youden index (YI) in both training and test cohorts (FPR: 5.4% and 9.1%, AUC: 0.98 and 0.92, YI: 85.8% and 75.5%, respectively). This hybrid nomogram respectively corrected 78.6% and 37.5% among FPR cases produced by PET/CT RS, without significantly sacrificing its sensitivity. The net benefit of hybrid nomogram appeared highest at <85% threshold probability. The established hybrid nomogram integrating PET/CT RS and manual diagnosis can significantly reduce FPR, improve diagnostic accuracy and enhance clinical benefit compared to manual diagnosis. By integrating manual diagnosis, the performance of this hybrid nomogram is superior to PET/CT RS, indicating the importance of clinicians’ judgement as an essential information source for improving radiomics diagnostic approaches.
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radiomics technique helps to reduce the False Positive Rate of 18f fdg pet ct diagnosis in suspicious lung cancer importance of integrating clinical experience
The Journal of Nuclear Medicine, 2019Co-Authors: Fei Kang, Jie Gong, Weidong Yang, Wei Qin, Jing WangAbstract:55 Purpose: Due to infective lesions, high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer diagnosis is a severe challenge for making accuRate clinical decision. Herein, based on novel radiomics methodology, we aim to establish a hybrid nomogram combining 18F-FDG PET/CT multimodality data and clinical judgement to reduce the FPR in the lung cancer differentiation of PET/CT, and compare its performance with the nomograms without clinical diagnosis integration. Methods: From 3947 screened lung-lesion patients who received 18F-FDG PET/CT scan from February 2007 to March 2017, 157 malignant and 111 benign patients were ultimately enrolled and randomly divided into training and test cohort with approximately equal sample size. Manual diagnosis was retrospectively recorded, and the reconstructed data of CT, thin-section CT (TSCT) and PET were stored. Lesion delineate and feature extraction were performed in training cohort following the radiomics methodology to establish and validate the nomograms of CT, TSCT, PET, PET/CT and PET/CT + manual diagnosis, respectively. The performance of these nomogram was assessed with respect to their calibration, key discrimination index, and clinical benefit in test cohort. Results: The overall FPR of manual diagnosis was 30.63%. Among the established nomograms, the C-index and YI of the PET/CT + manual diagnosis hybrid nomogram was the highest, and FPR the lowest in both of the training and test cohort (training and test cohort: C-index = 0.982 and 0.924, YI = 85.78% and 75.53%, FPR = 5.36% and 9.09%). In training and test cohort, by combining manual diagnosis, hybrid nomogram respectively corrected 78.57% (11/14) and 37.5% (3/8) FPR cases produced by the PET/CT RS. The net benefit of hybrid nomogram of PET/CT + manual diagnosis was the highest when the threshold probability is
Fei Kang - One of the best experts on this subject based on the ideXlab platform.
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integrating manual diagnosis into radiomics for reducing the False Positive Rate of 18 f fdg pet ct diagnosis in patients with suspected lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, 2019Co-Authors: Fei Kang, Jie Gong, Wei Qin, Shengjun Wang, Jie Tian, Jing WangAbstract:The high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer screening represents a severe challenge for clinical decision-making. This study aimed to develop a clinical-translatable radiomics nomogram for reducing the FPR of PET/CT in lung cancer diagnosis, and to determine the impact of integrating manual diagnosis to the performance of the radiomics nomogram. Among 3,947 18F-FDG PET/CT-screened patients with lung lesion, 157 malignant and 111 benign patients were retrospectively enrolled and divided into training and test cohorts. The data of manual diagnosis were recorded. A total of 4,338 features were extracted from CT, thin-section CT, PET and PET/CT, and the four radiomics signatures (RS) were then geneRated by LASSO method. Radiomics prediction nomogram integrating imaging-based RS and manual diagnosis was developed using multivariable logistic regression. The performances of RS and prediction nomograms were independently validated through key discrimination index and clinical benefit. The FPR of manual diagnosis was found to be 30.6%. Among the four RS, PET/CT RS exhibited the best performance. By integrating manual diagnosis, the hybrid nomogram integrating PET/CT RS and manual diagnosis demonstRated lowest FPR and highest area under curve (AUC) and Youden index (YI) in both training and test cohorts (FPR: 5.4% and 9.1%, AUC: 0.98 and 0.92, YI: 85.8% and 75.5%, respectively). This hybrid nomogram respectively corrected 78.6% and 37.5% among FPR cases produced by PET/CT RS, without significantly sacrificing its sensitivity. The net benefit of hybrid nomogram appeared highest at <85% threshold probability. The established hybrid nomogram integrating PET/CT RS and manual diagnosis can significantly reduce FPR, improve diagnostic accuracy and enhance clinical benefit compared to manual diagnosis. By integrating manual diagnosis, the performance of this hybrid nomogram is superior to PET/CT RS, indicating the importance of clinicians’ judgement as an essential information source for improving radiomics diagnostic approaches.
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radiomics technique helps to reduce the False Positive Rate of 18f fdg pet ct diagnosis in suspicious lung cancer importance of integrating clinical experience
The Journal of Nuclear Medicine, 2019Co-Authors: Fei Kang, Jie Gong, Weidong Yang, Wei Qin, Jing WangAbstract:55 Purpose: Due to infective lesions, high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer diagnosis is a severe challenge for making accuRate clinical decision. Herein, based on novel radiomics methodology, we aim to establish a hybrid nomogram combining 18F-FDG PET/CT multimodality data and clinical judgement to reduce the FPR in the lung cancer differentiation of PET/CT, and compare its performance with the nomograms without clinical diagnosis integration. Methods: From 3947 screened lung-lesion patients who received 18F-FDG PET/CT scan from February 2007 to March 2017, 157 malignant and 111 benign patients were ultimately enrolled and randomly divided into training and test cohort with approximately equal sample size. Manual diagnosis was retrospectively recorded, and the reconstructed data of CT, thin-section CT (TSCT) and PET were stored. Lesion delineate and feature extraction were performed in training cohort following the radiomics methodology to establish and validate the nomograms of CT, TSCT, PET, PET/CT and PET/CT + manual diagnosis, respectively. The performance of these nomogram was assessed with respect to their calibration, key discrimination index, and clinical benefit in test cohort. Results: The overall FPR of manual diagnosis was 30.63%. Among the established nomograms, the C-index and YI of the PET/CT + manual diagnosis hybrid nomogram was the highest, and FPR the lowest in both of the training and test cohort (training and test cohort: C-index = 0.982 and 0.924, YI = 85.78% and 75.53%, FPR = 5.36% and 9.09%). In training and test cohort, by combining manual diagnosis, hybrid nomogram respectively corrected 78.57% (11/14) and 37.5% (3/8) FPR cases produced by the PET/CT RS. The net benefit of hybrid nomogram of PET/CT + manual diagnosis was the highest when the threshold probability is
Wei Qin - One of the best experts on this subject based on the ideXlab platform.
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integrating manual diagnosis into radiomics for reducing the False Positive Rate of 18 f fdg pet ct diagnosis in patients with suspected lung cancer
European Journal of Nuclear Medicine and Molecular Imaging, 2019Co-Authors: Fei Kang, Jie Gong, Wei Qin, Shengjun Wang, Jie Tian, Jing WangAbstract:The high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer screening represents a severe challenge for clinical decision-making. This study aimed to develop a clinical-translatable radiomics nomogram for reducing the FPR of PET/CT in lung cancer diagnosis, and to determine the impact of integrating manual diagnosis to the performance of the radiomics nomogram. Among 3,947 18F-FDG PET/CT-screened patients with lung lesion, 157 malignant and 111 benign patients were retrospectively enrolled and divided into training and test cohorts. The data of manual diagnosis were recorded. A total of 4,338 features were extracted from CT, thin-section CT, PET and PET/CT, and the four radiomics signatures (RS) were then geneRated by LASSO method. Radiomics prediction nomogram integrating imaging-based RS and manual diagnosis was developed using multivariable logistic regression. The performances of RS and prediction nomograms were independently validated through key discrimination index and clinical benefit. The FPR of manual diagnosis was found to be 30.6%. Among the four RS, PET/CT RS exhibited the best performance. By integrating manual diagnosis, the hybrid nomogram integrating PET/CT RS and manual diagnosis demonstRated lowest FPR and highest area under curve (AUC) and Youden index (YI) in both training and test cohorts (FPR: 5.4% and 9.1%, AUC: 0.98 and 0.92, YI: 85.8% and 75.5%, respectively). This hybrid nomogram respectively corrected 78.6% and 37.5% among FPR cases produced by PET/CT RS, without significantly sacrificing its sensitivity. The net benefit of hybrid nomogram appeared highest at <85% threshold probability. The established hybrid nomogram integrating PET/CT RS and manual diagnosis can significantly reduce FPR, improve diagnostic accuracy and enhance clinical benefit compared to manual diagnosis. By integrating manual diagnosis, the performance of this hybrid nomogram is superior to PET/CT RS, indicating the importance of clinicians’ judgement as an essential information source for improving radiomics diagnostic approaches.
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radiomics technique helps to reduce the False Positive Rate of 18f fdg pet ct diagnosis in suspicious lung cancer importance of integrating clinical experience
The Journal of Nuclear Medicine, 2019Co-Authors: Fei Kang, Jie Gong, Weidong Yang, Wei Qin, Jing WangAbstract:55 Purpose: Due to infective lesions, high False Positive Rate (FPR) of 18F-FDG PET/CT in lung cancer diagnosis is a severe challenge for making accuRate clinical decision. Herein, based on novel radiomics methodology, we aim to establish a hybrid nomogram combining 18F-FDG PET/CT multimodality data and clinical judgement to reduce the FPR in the lung cancer differentiation of PET/CT, and compare its performance with the nomograms without clinical diagnosis integration. Methods: From 3947 screened lung-lesion patients who received 18F-FDG PET/CT scan from February 2007 to March 2017, 157 malignant and 111 benign patients were ultimately enrolled and randomly divided into training and test cohort with approximately equal sample size. Manual diagnosis was retrospectively recorded, and the reconstructed data of CT, thin-section CT (TSCT) and PET were stored. Lesion delineate and feature extraction were performed in training cohort following the radiomics methodology to establish and validate the nomograms of CT, TSCT, PET, PET/CT and PET/CT + manual diagnosis, respectively. The performance of these nomogram was assessed with respect to their calibration, key discrimination index, and clinical benefit in test cohort. Results: The overall FPR of manual diagnosis was 30.63%. Among the established nomograms, the C-index and YI of the PET/CT + manual diagnosis hybrid nomogram was the highest, and FPR the lowest in both of the training and test cohort (training and test cohort: C-index = 0.982 and 0.924, YI = 85.78% and 75.53%, FPR = 5.36% and 9.09%). In training and test cohort, by combining manual diagnosis, hybrid nomogram respectively corrected 78.57% (11/14) and 37.5% (3/8) FPR cases produced by the PET/CT RS. The net benefit of hybrid nomogram of PET/CT + manual diagnosis was the highest when the threshold probability is
