Dr Hong Qu , Dr Yuping Zeng , Miss Huiyu Chen , Dr Lifeng Hang , Dr Jizhuang Wang , Dr Hong Li , Dr Guihua Jiang
{"title":"残留/复发性鼻咽癌和鼻咽淋巴瘤：基于表观弥散系数和 18F-FDG PET/MRI 标准化摄取值的双参数区分","authors":"Dr Hong Qu , Dr Yuping Zeng , Miss Huiyu Chen , Dr Lifeng Hang , Dr Jizhuang Wang , Dr Hong Li , Dr Guihua Jiang","doi":"10.1016/j.jmir.2024.101482","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the multi-parametric diagnostic performance with apparent diffusion coefficient (ADC), standardized uptake value (SUV) and the relative SUV (rSUV) of hybrid <sup>18</sup>F-fluoro-2-deoxy-D-glucose positron emission tomography/magnetic resonance image (<sup>18</sup>F-FDG PET/MRI) to differentiate residual/recurrent nasopharyngeal carcinoma (RNPC) and nasopharyngeal lymphoma (NPL).</div></div><div><h3>Materials and Methods</h3><div>One hundred and sixty-three patients, including PNPCs (<em>n</em> = 86), RNPCs (<em>n</em> = 53) and PNPLs (<em>n</em> = 24), were recruited in this study. The peak standardized uptake value (SUV<sub>peak</sub>), maximum (SUV<sub>max</sub>), and mean (SUV<sub>mean</sub>) were obtained by workstation, and relative SUV<sub>peak</sub> (rSUV<sub>peak</sub>), SUV<sub>max</sub> (rSUV<sub>max</sub>) and SUV<sub>mean</sub> (rSUV<sub>mean</sub>) were obtained by standardization of the contralateral normal-appearing lateral pterygoid muscle. The minimum apparent diffusion coefficient (ADC<sub>min</sub>) and mean ADC (ADC<sub>mean</sub>) were obtained by ROIs measurement. Bivariate logistic regression was used to determine the best logistic regression model for classification. The area under the curve (AUC) was used to evaluate the diagnostic performance.</div></div><div><h3>Results</h3><div>RNPCs showed significantly lower SUV<sub>mean</sub>, rSUV<sub>peak</sub>, rSUV<sub>max</sub> and rSUV<sub>mean</sub> than that of NPLs. The ADC<sub>mean</sub> of PNPL was significantly lower than that of RNPC. The joint model with ADC<sub>mean</sub> and rSUV<sub>mean</sub> achieved the higher AUC, which was 0.92, and the sensitivity and specificity were 88.7% and 91.7%, respectively.</div></div><div><h3>Conclusion</h3><div>The combination of ADC<sub>mean</sub> and rSUV<sub>mean</sub> allowed reliable differentiation between RNPC and NPL.</div></div>","PeriodicalId":46420,"journal":{"name":"Journal of Medical Imaging and Radiation Sciences","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Residual/recurrent nasopharyngeal carcinoma and nasopharyngeal lymphoma: Dual-parameters differentiation based on apparent diffusion coefficient and standardized uptake value of 18F-FDG PET/MRI\",\"authors\":\"Dr Hong Qu , Dr Yuping Zeng , Miss Huiyu Chen , Dr Lifeng Hang , Dr Jizhuang Wang , Dr Hong Li , Dr Guihua Jiang\",\"doi\":\"10.1016/j.jmir.2024.101482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>To evaluate the multi-parametric diagnostic performance with apparent diffusion coefficient (ADC), standardized uptake value (SUV) and the relative SUV (rSUV) of hybrid <sup>18</sup>F-fluoro-2-deoxy-D-glucose positron emission tomography/magnetic resonance image (<sup>18</sup>F-FDG PET/MRI) to differentiate residual/recurrent nasopharyngeal carcinoma (RNPC) and nasopharyngeal lymphoma (NPL).</div></div><div><h3>Materials and Methods</h3><div>One hundred and sixty-three patients, including PNPCs (<em>n</em> = 86), RNPCs (<em>n</em> = 53) and PNPLs (<em>n</em> = 24), were recruited in this study. The peak standardized uptake value (SUV<sub>peak</sub>), maximum (SUV<sub>max</sub>), and mean (SUV<sub>mean</sub>) were obtained by workstation, and relative SUV<sub>peak</sub> (rSUV<sub>peak</sub>), SUV<sub>max</sub> (rSUV<sub>max</sub>) and SUV<sub>mean</sub> (rSUV<sub>mean</sub>) were obtained by standardization of the contralateral normal-appearing lateral pterygoid muscle. The minimum apparent diffusion coefficient (ADC<sub>min</sub>) and mean ADC (ADC<sub>mean</sub>) were obtained by ROIs measurement. Bivariate logistic regression was used to determine the best logistic regression model for classification. The area under the curve (AUC) was used to evaluate the diagnostic performance.</div></div><div><h3>Results</h3><div>RNPCs showed significantly lower SUV<sub>mean</sub>, rSUV<sub>peak</sub>, rSUV<sub>max</sub> and rSUV<sub>mean</sub> than that of NPLs. The ADC<sub>mean</sub> of PNPL was significantly lower than that of RNPC. The joint model with ADC<sub>mean</sub> and rSUV<sub>mean</sub> achieved the higher AUC, which was 0.92, and the sensitivity and specificity were 88.7% and 91.7%, respectively.</div></div><div><h3>Conclusion</h3><div>The combination of ADC<sub>mean</sub> and rSUV<sub>mean</sub> allowed reliable differentiation between RNPC and NPL.</div></div>\",\"PeriodicalId\":46420,\"journal\":{\"name\":\"Journal of Medical Imaging and Radiation Sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Imaging and Radiation Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1939865424002133\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Imaging and Radiation Sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1939865424002133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Residual/recurrent nasopharyngeal carcinoma and nasopharyngeal lymphoma: Dual-parameters differentiation based on apparent diffusion coefficient and standardized uptake value of 18F-FDG PET/MRI
Objectives
To evaluate the multi-parametric diagnostic performance with apparent diffusion coefficient (ADC), standardized uptake value (SUV) and the relative SUV (rSUV) of hybrid 18F-fluoro-2-deoxy-D-glucose positron emission tomography/magnetic resonance image (18F-FDG PET/MRI) to differentiate residual/recurrent nasopharyngeal carcinoma (RNPC) and nasopharyngeal lymphoma (NPL).
Materials and Methods
One hundred and sixty-three patients, including PNPCs (n = 86), RNPCs (n = 53) and PNPLs (n = 24), were recruited in this study. The peak standardized uptake value (SUVpeak), maximum (SUVmax), and mean (SUVmean) were obtained by workstation, and relative SUVpeak (rSUVpeak), SUVmax (rSUVmax) and SUVmean (rSUVmean) were obtained by standardization of the contralateral normal-appearing lateral pterygoid muscle. The minimum apparent diffusion coefficient (ADCmin) and mean ADC (ADCmean) were obtained by ROIs measurement. Bivariate logistic regression was used to determine the best logistic regression model for classification. The area under the curve (AUC) was used to evaluate the diagnostic performance.
Results
RNPCs showed significantly lower SUVmean, rSUVpeak, rSUVmax and rSUVmean than that of NPLs. The ADCmean of PNPL was significantly lower than that of RNPC. The joint model with ADCmean and rSUVmean achieved the higher AUC, which was 0.92, and the sensitivity and specificity were 88.7% and 91.7%, respectively.
Conclusion
The combination of ADCmean and rSUVmean allowed reliable differentiation between RNPC and NPL.
期刊介绍：
Journal of Medical Imaging and Radiation Sciences is the official peer-reviewed journal of the Canadian Association of Medical Radiation Technologists. This journal is published four times a year and is circulated to approximately 11,000 medical radiation technologists, libraries and radiology departments throughout Canada, the United States and overseas. The Journal publishes articles on recent research, new technology and techniques, professional practices, technologists viewpoints as well as relevant book reviews.
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