Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes
To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method. Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two ins...
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Published in | European journal of radiology Vol. 106; pp. 122 - 127 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Ireland
Elsevier B.V
01.09.2018
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Online Access | Get full text |
ISSN | 0720-048X 1872-7727 1872-7727 |
DOI | 10.1016/j.ejrad.2018.07.022 |
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Abstract | To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.
Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.
The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228–0.9793; individual and mega Z-Score: 0.7111–0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030–1.0000; individual and mega ADC 0.3268–0.9618).
Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies. |
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AbstractList | To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.
Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.
The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618).
Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies. To determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.PURPOSETo determine the possibility of a universal cut off value between benign and malignant lymph nodes in patients with tumour by Z-Score transformation method.Diffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.MATERIALS AND METHODSDiffusion weighted imaging, ADC measurements of malignant and benign lymph nodes of 6 studies (4 body parts), conducted for 5 times, in two institutions with variable technical details were analyzed in their original value as well as the standardized Z-Score value. The standardized Z-Score value was obtained by subtracting the population mean of the control group from an individual raw score and then dividing the difference by the population standard deviation of the control group. General cut off values were obtained by both Mega-analysis by receiver operator characteristic curve analysis, when data from the 6 studies were combined and Meta-analysis with weighting coefficients and cut off values of the six individual studies. Sensitivity, specificity and accuracy with cut offs from individual studies, meta-analysis and mega-analysis were calculated. Kappa test was performed to assess the consistency of diagnostic test accuracy, between optimized cut offs of individual studies and the proposed universal cut offs obtained from meta-analysis and mega-analysis.The ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618).RESULTSThe ADC values of benign and malignant lymph nodes are significantly different, but with large overlap across the studies. The overlap can be minimized by Z-Score transformation. The result of ROC analysis of the collective Z-Score transformed ADC values of 6 studies was superior to that of the collective original ADC values (sensitivity: 87.4% versus 67.2%, specificity: 90.5% versus 87.9%, accuracy: 89.6% versus 81.4%). The universal Z-Score cut off from Meta-analysis is also better than the original ADC cut off (sensitivity: 82.8% versus 76.3%, specificity 92.6% versus 62.9%, accuracy 89.6% versus 67.1%). Applied to the individual studies, the universal transformed Z-Score cut offs produced superior consistency with the individual optimal cut offs (individual and meta Z-Score: 0.7228-0.9793; individual and mega Z-Score: 0.7111-0.9169) compared with the universal original ADC cut offs (individual and meta ADC: 0.3030-1.0000; individual and mega ADC 0.3268-0.9618).Z-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies.CONCLUSIONZ-Score transformation could minimize inter-study variations due to heterogeneity of MR systems and sequence parameters, and provide a more consistent universal cut off value between benign and malignant nodes across studies. |
Author | Li (李艳艳), Yanyan Shrestha, Apurwa Yu (于文娟), Wenjuan Wang (王蕾), Lei Gao (高光峰), Guangfeng Liu (刘丽华), Lihua Liu (刘晓斌), Xiaobin Zhang (张可), Ke Mou (牟玲), Ling Chen (陈新娟), Xinjuan Long (龙淼淼), Miaomiao Shen (沈文), Wen |
Author_xml | – sequence: 1 givenname: Miaomiao orcidid: 0000-0002-1064-8922 surname: Long (龙淼淼) fullname: Long (龙淼淼), Miaomiao email: miaomiaolong@126.com, 38495737@qq.com organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 2 givenname: Lei surname: Wang (王蕾) fullname: Wang (王蕾), Lei organization: School of Chinese Medicine, Tianjin University of TCM, Tianjin 300193, China – sequence: 3 givenname: Ling surname: Mou (牟玲) fullname: Mou (牟玲), Ling organization: Department of Radiology, People’s Hospital of Rizhao City, Rizhao, 276827, China – sequence: 4 givenname: Ke surname: Zhang (张可) fullname: Zhang (张可), Ke organization: Department of Radiology, People’s Hospital of Rizhao City, Rizhao, 276827, China – sequence: 5 givenname: Lihua surname: Liu (刘丽华) fullname: Liu (刘丽华), Lihua organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 6 givenname: Yanyan surname: Li (李艳艳) fullname: Li (李艳艳), Yanyan organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 7 givenname: Xiaobin surname: Liu (刘晓斌) fullname: Liu (刘晓斌), Xiaobin organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 8 givenname: Wenjuan surname: Yu (于文娟) fullname: Yu (于文娟), Wenjuan organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 9 givenname: Guangfeng surname: Gao (高光峰) fullname: Gao (高光峰), Guangfeng organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 10 givenname: Xinjuan surname: Chen (陈新娟) fullname: Chen (陈新娟), Xinjuan organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 11 givenname: Wen surname: Shen (沈文) fullname: Shen (沈文), Wen organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China – sequence: 12 givenname: Apurwa surname: Shrestha fullname: Shrestha, Apurwa organization: Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, China |
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Keywords | Sensitivity and specificity Z-Score Diffusion magnetic resonance imaging Lymph nodes Apparent diffusion coefficient |
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SubjectTerms | Adult Aged Aged, 80 and over Apparent diffusion coefficient Diagnosis, Differential Diffusion magnetic resonance imaging Diffusion Magnetic Resonance Imaging - methods Female Humans Lymph nodes Lymph Nodes - diagnostic imaging Lymph Nodes - pathology Lymphatic Metastasis - pathology Male Middle Aged ROC Curve Sensitivity and Specificity Z-Score |
Title | Z-Score transformation of ADC values: A way to universal cut off between malignant and benign lymph nodes |
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