Burak Demir, Cigdem Soydal, Nuriye Ozlem Kucuk, Emre Can Celebioglu, Mehmet Sadık Bilgic, Digdem Kuru Oz, Atilla Halil Elhan, Kemal Metin Kir
{"title":"基于体素的剂量测定与 Y-90 PET/MRI 集成以及原发性和转移性肝肿瘤对 Y-90 玻璃微球放射栓塞反应的预测。","authors":"Burak Demir, Cigdem Soydal, Nuriye Ozlem Kucuk, Emre Can Celebioglu, Mehmet Sadık Bilgic, Digdem Kuru Oz, Atilla Halil Elhan, Kemal Metin Kir","doi":"10.1007/s12149-024-01974-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>In this study, we aimed to evaluate the response of the primary and metastatic liver tumors to radioembolization with <sup>90</sup>Y glass microspheres and investigate its correlations with dosimetric variables calculated with <sup>90</sup>Y PET/MRI.</p><p><strong>Methods: </strong>In this ambispective study, 44 patients treated with <sup>90</sup>Y glass microspheres and imaged with <sup>90</sup>Y PET/MRI were included for analysis. Dosimetric analysis was performed for every perfused lesion using dose-volume histograms. Response was assessed by comparing pre-treatment and follow-up total lesion glycolysis (TLG) values derived from <sup>18</sup>F-FDG PET imaging. The relationship between ΔTLG and log-transformed dosimetric variables was analyzed with linear mixed effects regression models. ROC analyses were performed to compare discriminatory power of the variables in predicting response and complete response.</p><p><strong>Results: </strong>Regression and ROC analyses demonstrated that mean tumor dose and almost all D values were statistically significant predictors of treatment response and complete treatment response. Specifically, D60, D70 and D80 values exhibited significantly higher discriminatory power for predicting treatment response compared to the mean dose (D<sub>mean</sub>) delivered to tumor. High specificity cut-off values to predict response were determined as 160.75 Gy for D<sub>mean</sub>, 95.50 Gy for D60, 89 Gy for D70, and 59.50 Gy for D80. Similarly, high-specificity cut-off values to predict complete response were 262.75 Gy for D<sub>mean</sub>, 173 Gy for D70, 140.5 Gy for D80, and 100 Gy for D90.</p><p><strong>Conclusion: </strong>In this study, we demonstrated that voxel-based dosimetry with post-treatment <sup>90</sup>Y PET/MRI can predict response to treatment. D60, D70 and D80 variables also did have greater discriminatory power compared to D<sub>mean</sub> in prediction of response. In addition, we present high-specificity cut-offs to predict response (CR + PR) and complete response (CR) for both D<sub>mean</sub> and several D variables derived from dose-volume histograms.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Voxel-based dosimetry with integrated Y-90 PET/MRI and prediction of response of primary and metastatic liver tumors to radioembolization with Y-90 glass microspheres.\",\"authors\":\"Burak Demir, Cigdem Soydal, Nuriye Ozlem Kucuk, Emre Can Celebioglu, Mehmet Sadık Bilgic, Digdem Kuru Oz, Atilla Halil Elhan, Kemal Metin Kir\",\"doi\":\"10.1007/s12149-024-01974-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>In this study, we aimed to evaluate the response of the primary and metastatic liver tumors to radioembolization with <sup>90</sup>Y glass microspheres and investigate its correlations with dosimetric variables calculated with <sup>90</sup>Y PET/MRI.</p><p><strong>Methods: </strong>In this ambispective study, 44 patients treated with <sup>90</sup>Y glass microspheres and imaged with <sup>90</sup>Y PET/MRI were included for analysis. Dosimetric analysis was performed for every perfused lesion using dose-volume histograms. Response was assessed by comparing pre-treatment and follow-up total lesion glycolysis (TLG) values derived from <sup>18</sup>F-FDG PET imaging. The relationship between ΔTLG and log-transformed dosimetric variables was analyzed with linear mixed effects regression models. ROC analyses were performed to compare discriminatory power of the variables in predicting response and complete response.</p><p><strong>Results: </strong>Regression and ROC analyses demonstrated that mean tumor dose and almost all D values were statistically significant predictors of treatment response and complete treatment response. Specifically, D60, D70 and D80 values exhibited significantly higher discriminatory power for predicting treatment response compared to the mean dose (D<sub>mean</sub>) delivered to tumor. High specificity cut-off values to predict response were determined as 160.75 Gy for D<sub>mean</sub>, 95.50 Gy for D60, 89 Gy for D70, and 59.50 Gy for D80. Similarly, high-specificity cut-off values to predict complete response were 262.75 Gy for D<sub>mean</sub>, 173 Gy for D70, 140.5 Gy for D80, and 100 Gy for D90.</p><p><strong>Conclusion: </strong>In this study, we demonstrated that voxel-based dosimetry with post-treatment <sup>90</sup>Y PET/MRI can predict response to treatment. D60, D70 and D80 variables also did have greater discriminatory power compared to D<sub>mean</sub> in prediction of response. In addition, we present high-specificity cut-offs to predict response (CR + PR) and complete response (CR) for both D<sub>mean</sub> and several D variables derived from dose-volume histograms.</p>\",\"PeriodicalId\":8007,\"journal\":{\"name\":\"Annals of Nuclear Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Nuclear Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12149-024-01974-w\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12149-024-01974-w","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Voxel-based dosimetry with integrated Y-90 PET/MRI and prediction of response of primary and metastatic liver tumors to radioembolization with Y-90 glass microspheres.
Purpose: In this study, we aimed to evaluate the response of the primary and metastatic liver tumors to radioembolization with 90Y glass microspheres and investigate its correlations with dosimetric variables calculated with 90Y PET/MRI.
Methods: In this ambispective study, 44 patients treated with 90Y glass microspheres and imaged with 90Y PET/MRI were included for analysis. Dosimetric analysis was performed for every perfused lesion using dose-volume histograms. Response was assessed by comparing pre-treatment and follow-up total lesion glycolysis (TLG) values derived from 18F-FDG PET imaging. The relationship between ΔTLG and log-transformed dosimetric variables was analyzed with linear mixed effects regression models. ROC analyses were performed to compare discriminatory power of the variables in predicting response and complete response.
Results: Regression and ROC analyses demonstrated that mean tumor dose and almost all D values were statistically significant predictors of treatment response and complete treatment response. Specifically, D60, D70 and D80 values exhibited significantly higher discriminatory power for predicting treatment response compared to the mean dose (Dmean) delivered to tumor. High specificity cut-off values to predict response were determined as 160.75 Gy for Dmean, 95.50 Gy for D60, 89 Gy for D70, and 59.50 Gy for D80. Similarly, high-specificity cut-off values to predict complete response were 262.75 Gy for Dmean, 173 Gy for D70, 140.5 Gy for D80, and 100 Gy for D90.
Conclusion: In this study, we demonstrated that voxel-based dosimetry with post-treatment 90Y PET/MRI can predict response to treatment. D60, D70 and D80 variables also did have greater discriminatory power compared to Dmean in prediction of response. In addition, we present high-specificity cut-offs to predict response (CR + PR) and complete response (CR) for both Dmean and several D variables derived from dose-volume histograms.
期刊介绍：
Annals of Nuclear Medicine is an official journal of the Japanese Society of Nuclear Medicine. It develops the appropriate application of radioactive substances and stable nuclides in the field of medicine.
The journal promotes the exchange of ideas and information and research in nuclear medicine and includes the medical application of radionuclides and related subjects. It presents original articles, short communications, reviews and letters to the editor.
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