Exploring the Correlation Between Multiparameters Detected in Primary Prostate Cancer using F‑18 PSMA‑1007 PET/MRI and their Potential for Predicting Metastasis.

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Nuclear Medicine and Molecular Imaging Pub Date : 2025-02-01 Epub Date: 2024-10-21 DOI:10.1007/s13139-024-00884-z
Sunpob Cheewadhanaraks, Karun Sereeborwornthanasak, Dheeratama Siripongsatian, Attapon Jantarato, Chetsadaporn Promteangtrong, Anchisa Kunawudhi, Peerapon Kiatkittikul, Natphimol Boonkawin, Nathapol Boonsingma, Chanisa Chotipanich
{"title":"Exploring the Correlation Between Multiparameters Detected in Primary Prostate Cancer using F‑18 PSMA‑1007 PET/MRI and their Potential for Predicting Metastasis.","authors":"Sunpob Cheewadhanaraks, Karun Sereeborwornthanasak, Dheeratama Siripongsatian, Attapon Jantarato, Chetsadaporn Promteangtrong, Anchisa Kunawudhi, Peerapon Kiatkittikul, Natphimol Boonkawin, Nathapol Boonsingma, Chanisa Chotipanich","doi":"10.1007/s13139-024-00884-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Prostate-specific membrane antigen (PSMA) Positron emission tomography/magnetic resonance imaging (PET/MRI) surpasses conventional MRI (cMRI) in prostate cancer (PCa) evaluation. Our objective is to evaluate correlation of quantitative parameters in PCa using Fluorine-18 (F-18) PSMA-1007 PET/MRI and their potential for predicting metastases.</p><p><strong>Methods: </strong>This retrospective study included 51 PCa patients. Apparent diffusion coefficient (ADC), maximum standardized uptake value (SUVmax), PSMA total lesion uptake (PSMA-TLU), and PSMA total volume (PSMA-TV) were calculated in primary tumor. Correlation of ADC with other parameters was analyzed. Receiver Operating Characteristic curve analysis was conducted to determine optimal cut-off values for predicting metastases.</p><p><strong>Results: </strong>ADC inversely correlated with SUVmax, PSMA-TLU, and PSMA-TV (<i>p</i> < 0.0001, < 0.0001, 0.0050, respectively). Lower ADC was associated with metastatic disease (<i>p</i> < 0.001). SUVmax, PSMA-TLU, PSMA-TV, SUVmax/ADC, PSMA-TLU/ADC, and PSMA-TV/ADC were higher in patients with metastases (<i>p </i>= 0.033 to < 0.001). PSMA-TLU/ADC and PSMA-TV/ADC best predicted metastases (sensitivity: 73.91% and 82.61%; specificity: 89.29% and 71.43%). PSMA-TLU, PSMA-TV, PSMA-TLU/ADC, and PSMA-TV/ADC were higher in patients with lymph node metastasis (<i>p</i> = 0.001 to 0.005). PSMA-TLU/ADC and PSMA-TV/ADC best predicted lymph node metastasis (sensitivity: 77.78% and 100%; specificity: 89.29% and 71.43%). SUVmax and SUVmax/ADC were higher in bone metastasis cases (<i>p</i> = 0.045), but their predictive value for bone metastasis was limited (Area under the curve (AUC): 0.634 and 0.652).</p><p><strong>Conclusion: </strong>F-18 PSMA-1007 PET/MRI may improve diagnostic accuracy for primary PCa lesions by utilizing the inverse relationship between ADC and other parameters. Moreover, a strong correlation between such parameters and presence of metastasis holds prognostic value of this modality.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 1","pages":"79-90"},"PeriodicalIF":1.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11772630/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Medicine and Molecular Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13139-024-00884-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/21 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Prostate-specific membrane antigen (PSMA) Positron emission tomography/magnetic resonance imaging (PET/MRI) surpasses conventional MRI (cMRI) in prostate cancer (PCa) evaluation. Our objective is to evaluate correlation of quantitative parameters in PCa using Fluorine-18 (F-18) PSMA-1007 PET/MRI and their potential for predicting metastases.

Methods: This retrospective study included 51 PCa patients. Apparent diffusion coefficient (ADC), maximum standardized uptake value (SUVmax), PSMA total lesion uptake (PSMA-TLU), and PSMA total volume (PSMA-TV) were calculated in primary tumor. Correlation of ADC with other parameters was analyzed. Receiver Operating Characteristic curve analysis was conducted to determine optimal cut-off values for predicting metastases.

Results: ADC inversely correlated with SUVmax, PSMA-TLU, and PSMA-TV (p < 0.0001, < 0.0001, 0.0050, respectively). Lower ADC was associated with metastatic disease (p < 0.001). SUVmax, PSMA-TLU, PSMA-TV, SUVmax/ADC, PSMA-TLU/ADC, and PSMA-TV/ADC were higher in patients with metastases (p = 0.033 to < 0.001). PSMA-TLU/ADC and PSMA-TV/ADC best predicted metastases (sensitivity: 73.91% and 82.61%; specificity: 89.29% and 71.43%). PSMA-TLU, PSMA-TV, PSMA-TLU/ADC, and PSMA-TV/ADC were higher in patients with lymph node metastasis (p = 0.001 to 0.005). PSMA-TLU/ADC and PSMA-TV/ADC best predicted lymph node metastasis (sensitivity: 77.78% and 100%; specificity: 89.29% and 71.43%). SUVmax and SUVmax/ADC were higher in bone metastasis cases (p = 0.045), but their predictive value for bone metastasis was limited (Area under the curve (AUC): 0.634 and 0.652).

Conclusion: F-18 PSMA-1007 PET/MRI may improve diagnostic accuracy for primary PCa lesions by utilizing the inverse relationship between ADC and other parameters. Moreover, a strong correlation between such parameters and presence of metastasis holds prognostic value of this modality.

目的:在前列腺癌(PCa)评估中,前列腺特异性膜抗原(PSMA)正电子发射断层扫描/磁共振成像(PET/MRI)超越了传统的磁共振成像(cMRI)。我们的目的是利用氟-18 (F-18) PSMA-1007 PET/MRI 评估 PCa 定量参数的相关性及其预测转移的潜力:这项回顾性研究纳入了 51 例 PCa 患者。方法:这项回顾性研究纳入了 51 例 PCa 患者,计算了原发肿瘤的表观弥散系数(ADC)、最大标准化摄取值(SUVmax)、PSMA 总病灶摄取(PSMA-TLU)和 PSMA 总体积(PSMA-TV)。分析了 ADC 与其他参数的相关性。进行了接收者操作特征曲线分析,以确定预测转移的最佳临界值:ADC与SUVmax、PSMA-TLU和PSMA-TV呈反向相关(p p = 0.033 to p = 0.001 to 0.005)。PSMA-TLU/ADC和PSMA-TV/ADC最能预测淋巴结转移(敏感性:77.78%和100%;特异性:89.29%和71.43%)。在骨转移病例中,SUVmax 和 SUVmax/ADC 较高(p = 0.045),但它们对骨转移的预测价值有限(曲线下面积(AUC):0.634 和 0.660):结论:结论:F-18 PSMA-1007 PET/MRI 可利用 ADC 与其他参数之间的反比关系提高原发性 PCa 病变的诊断准确性。结论:F-18 PSMA-1007 PET/MRI 可利用 ADC 与其他参数之间的反比关系提高原发性 PCa 病变的诊断准确性,此外,这些参数与是否存在转移之间的强相关性也为该方法的预后价值提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nuclear Medicine and Molecular Imaging
Nuclear Medicine and Molecular Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
2.20
自引率
7.70%
发文量
58
期刊介绍: Nuclear Medicine and Molecular Imaging (Nucl Med Mol Imaging) is an official journal of the Korean Society of Nuclear Medicine, which bimonthly publishes papers on February, April, June, August, October, and December about nuclear medicine and related sciences such as radiochemistry, radiopharmacy, dosimetry and pharmacokinetics / pharmacodynamics of radiopharmaceuticals, nuclear and molecular imaging analysis, nuclear and molecular imaging instrumentation, radiation biology and radionuclide therapy. The journal specially welcomes works of artificial intelligence applied to nuclear medicine. The journal will also welcome original works relating to molecular imaging research such as the development of molecular imaging probes, reporter imaging assays, imaging cell trafficking, imaging endo(exo)genous gene expression, and imaging signal transduction. Nucl Med Mol Imaging publishes the following types of papers: original articles, reviews, case reports, editorials, interesting images, and letters to the editor. The Korean Society of Nuclear Medicine (KSNM) KSNM is a scientific and professional organization founded in 1961 and a member of the Korean Academy of Medical Sciences of the Korean Medical Association which was established by The Medical Services Law. The aims of KSNM are the promotion of nuclear medicine and cooperation of each member. The business of KSNM includes holding academic meetings and symposia, the publication of journals and books, planning and research of promoting science and health, and training and qualification of nuclear medicine specialists.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信