Guocheng Huang, Patrick Albers, Nikhile Mookerji, Tyler Pfanner, Amaris Hui, Rohan Mittal, Stacey Broomfield, Lucas Dean, Blair St. Martin, Niels-Erik Jacobsen, Howard Evans, Yuan Gao, Ryan Hung, Jonathan Abele, Peter Dromparis, Joema Felipe Lima, Tarek A. Bismar, Evangelos Michelakis, Gopinath Sutendra, Frank Wuest, Wendy Tu, Benjamin A. Adam, Christopher Fung, Sunita Ghosh, Alexander Tamm, Adam Kinnaird
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This study aims to evaluate whether it is also superior in estimating tumor parameters, such as three-dimensional spatial localization and volume.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>134 participants underwent <sup>18</sup>F-PSMA-1007 PET/CT and MRI prior to radical prostatectomy as part of the validating paired-cohort Next Generation Trial (NCT05141760). MRI, <sup>18</sup>F-PSMA-1007 PET/CT, and final pathology were independently assessed by blinded radiologists, nuclear medicine physicians, and pathologists, respectively. Individual tumor nodules were measured in three dimensions and cognitively registered to 38 segment prostate diagrams as per PI-RADSv2.1. Correct spatial localization was compared using McNemar test and estimation of tumor volumes were compared using linear regression and partial F-test.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>286 tumor nodules were identified by final histopathology. <sup>18</sup>F-PSMA-1007 PET/CT was superior to MRI for correct localization (186 [65.0%] vs 134 [46.9%], p < 0.001) and tumor volume estimation (R<sup>2</sup> = 0.545 vs 0.431, p < 0.001). Larger tumors and higher Gleason Grade Group (GGG) were associated with correct localization by <sup>18</sup>F-PSMA-1007 PET/CT (OR = 2.05, p < 0.001 for tumor volume and OR = 4.92, p < 0.01 for ≥ GGG3) and MRI (OR = 1.81, p < 0.001 for tumor volume and OR = 11.67, p < 0.001 for ≥ GGG3).</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p><sup>18</sup>F-PSMA-1007 PET/CT outperforms MRI for determination of three-dimensional spatial localization and volume of prostate tumors. These findings support the use of <sup>18</sup>F-PSMA-1007 PET/CT prior to definitive treatment of localized prostate cancers.</p>","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"161 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-dimensional spatial localization and volume estimation of prostate tumors using 18F-PSMA-1007 PET/CT versus multiparametric MRI\",\"authors\":\"Guocheng Huang, Patrick Albers, Nikhile Mookerji, Tyler Pfanner, Amaris Hui, Rohan Mittal, Stacey Broomfield, Lucas Dean, Blair St. Martin, Niels-Erik Jacobsen, Howard Evans, Yuan Gao, Ryan Hung, Jonathan Abele, Peter Dromparis, Joema Felipe Lima, Tarek A. Bismar, Evangelos Michelakis, Gopinath Sutendra, Frank Wuest, Wendy Tu, Benjamin A. Adam, Christopher Fung, Sunita Ghosh, Alexander Tamm, Adam Kinnaird\",\"doi\":\"10.1007/s00259-024-07021-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Purpose</h3><p>Fluorine-18 prostate-specific membrane antigen-1007 positron emission tomography/computed tomography (<sup>18</sup>F-PSMA-1007 PET/CT) has been shown to be superior to multiparametric magnetic resonance imaging (MRI) for the locoregional staging of intermediate-risk and high-risk prostate tumors. This study aims to evaluate whether it is also superior in estimating tumor parameters, such as three-dimensional spatial localization and volume.</p><h3 data-test=\\\"abstract-sub-heading\\\">Methods</h3><p>134 participants underwent <sup>18</sup>F-PSMA-1007 PET/CT and MRI prior to radical prostatectomy as part of the validating paired-cohort Next Generation Trial (NCT05141760). MRI, <sup>18</sup>F-PSMA-1007 PET/CT, and final pathology were independently assessed by blinded radiologists, nuclear medicine physicians, and pathologists, respectively. Individual tumor nodules were measured in three dimensions and cognitively registered to 38 segment prostate diagrams as per PI-RADSv2.1. Correct spatial localization was compared using McNemar test and estimation of tumor volumes were compared using linear regression and partial F-test.</p><h3 data-test=\\\"abstract-sub-heading\\\">Results</h3><p>286 tumor nodules were identified by final histopathology. <sup>18</sup>F-PSMA-1007 PET/CT was superior to MRI for correct localization (186 [65.0%] vs 134 [46.9%], p < 0.001) and tumor volume estimation (R<sup>2</sup> = 0.545 vs 0.431, p < 0.001). Larger tumors and higher Gleason Grade Group (GGG) were associated with correct localization by <sup>18</sup>F-PSMA-1007 PET/CT (OR = 2.05, p < 0.001 for tumor volume and OR = 4.92, p < 0.01 for ≥ GGG3) and MRI (OR = 1.81, p < 0.001 for tumor volume and OR = 11.67, p < 0.001 for ≥ GGG3).</p><h3 data-test=\\\"abstract-sub-heading\\\">Conclusion</h3><p><sup>18</sup>F-PSMA-1007 PET/CT outperforms MRI for determination of three-dimensional spatial localization and volume of prostate tumors. 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引用次数: 0
摘要
目的氟-18前列腺特异性膜抗原1007正电子发射断层扫描/计算机断层扫描(18F-PSMA-1007 PET/CT)已被证明优于多参数磁共振成像(MRI),用于中危险和高危前列腺肿瘤的局部区域分期。本研究旨在评估该方法在估计肿瘤参数(如三维空间定位和体积)方面是否也具有优势。方法134名参与者在根治性前列腺切除术前接受了18F-PSMA-1007 PET/CT和MRI检查,作为验证配对队列Next Generation试验(NCT05141760)的一部分。MRI、18F-PSMA-1007 PET/CT和最终病理分别由盲法放射科医师、核医学医师和病理学家独立评估。对单个肿瘤结节进行三维测量,并根据PI-RADSv2.1在38个前列腺节段图上进行认知登记。使用McNemar检验比较正确的空间定位,使用线性回归和部分f检验比较肿瘤体积的估计。结果经最终组织病理学检查发现286例肿瘤结节。18F-PSMA-1007 PET/CT在正确定位(186 [65.0%]vs 134 [46.9%], p < 0.001)和肿瘤体积估计(R2 = 0.545 vs 0.431, p < 0.001)方面优于MRI。较大的肿瘤和较高的Gleason分级组(GGG)与18F-PSMA-1007 PET/CT(肿瘤体积OR = 2.05, p < 0.001,≥GGG3 OR = 4.92, p < 0.01)和MRI(肿瘤体积OR = 1.81, p < 0.001,≥GGG3 OR = 11.67, p < 0.001)的正确定位相关。结论18f - psma -1007 PET/CT在确定前列腺肿瘤的三维空间定位和体积方面优于MRI。这些发现支持在确定治疗局限性前列腺癌之前使用18F-PSMA-1007 PET/CT。
Three-dimensional spatial localization and volume estimation of prostate tumors using 18F-PSMA-1007 PET/CT versus multiparametric MRI
Purpose
Fluorine-18 prostate-specific membrane antigen-1007 positron emission tomography/computed tomography (18F-PSMA-1007 PET/CT) has been shown to be superior to multiparametric magnetic resonance imaging (MRI) for the locoregional staging of intermediate-risk and high-risk prostate tumors. This study aims to evaluate whether it is also superior in estimating tumor parameters, such as three-dimensional spatial localization and volume.
Methods
134 participants underwent 18F-PSMA-1007 PET/CT and MRI prior to radical prostatectomy as part of the validating paired-cohort Next Generation Trial (NCT05141760). MRI, 18F-PSMA-1007 PET/CT, and final pathology were independently assessed by blinded radiologists, nuclear medicine physicians, and pathologists, respectively. Individual tumor nodules were measured in three dimensions and cognitively registered to 38 segment prostate diagrams as per PI-RADSv2.1. Correct spatial localization was compared using McNemar test and estimation of tumor volumes were compared using linear regression and partial F-test.
Results
286 tumor nodules were identified by final histopathology. 18F-PSMA-1007 PET/CT was superior to MRI for correct localization (186 [65.0%] vs 134 [46.9%], p < 0.001) and tumor volume estimation (R2 = 0.545 vs 0.431, p < 0.001). Larger tumors and higher Gleason Grade Group (GGG) were associated with correct localization by 18F-PSMA-1007 PET/CT (OR = 2.05, p < 0.001 for tumor volume and OR = 4.92, p < 0.01 for ≥ GGG3) and MRI (OR = 1.81, p < 0.001 for tumor volume and OR = 11.67, p < 0.001 for ≥ GGG3).
Conclusion
18F-PSMA-1007 PET/CT outperforms MRI for determination of three-dimensional spatial localization and volume of prostate tumors. These findings support the use of 18F-PSMA-1007 PET/CT prior to definitive treatment of localized prostate cancers.
期刊介绍:
The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.