Yonglin Pu, Bill C Penney, Jingmian Zhang, Kevin Little, Cassie A Simon, Nicholas Feinberg, Michael Hanzhe Zhang, Gloria Hwang, Daniel Eric Appelbaum
{"title":"非小细胞肺癌患者高清和标准 PET 成像的 SUV 测量和预后能力比较","authors":"Yonglin Pu, Bill C Penney, Jingmian Zhang, Kevin Little, Cassie A Simon, Nicholas Feinberg, Michael Hanzhe Zhang, Gloria Hwang, Daniel Eric Appelbaum","doi":"10.2967/jnmt.124.267684","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to evaluate the measurement and prognostic ability of the SUV<sub>max</sub> of whole-body tumors (SUV<sub>maxwb</sub>) in non-small cell lung cancer (NSCLC) patients, comparing high-definition (HD) PET imaging with standard-definition (SD) PET imaging. <b>Methods:</b> The study included 242 consecutive NSCLC patients who underwent baseline <sup>18</sup>F-FDG PET/CT from April 2018 to January 2021. Two imaging techniques were used: HD PET (using ordered-subsets expectation maximization with point-spread function modeling and time-of-flight techniques and smaller voxels) and SD PET (with ordered-subsets expectation maximization and time-of-flight techniques). SUV<sub>maxwb</sub> was determined by measuring all the tumor lesions in the whole body, and tumor-to-background ratio (TBR) was calculated using the background SUV<sub>mean</sub> of various body parts. <b>Results:</b> The patient cohort had an average age of 68.3 y, with 59.1% being female. During a median follow-up of 29.6 mo, 83 deaths occurred. SUV<sub>maxwb</sub> was significantly higher in HD PET than SD PET, with respective medians of 17.4 and 11.8. The TBR of 1,125 tumoral lesions was also higher in HD PET. Univariate Cox regression analysis showed that SUV<sub>maxwb</sub> from both HD and SD PET were significantly associated with overall survival. However, after adjusting for TNM (tumor, node, metastasis) stage, only SUV<sub>maxwb</sub> from SD PET remained significantly associated with survival. <b>Conclusion:</b> HD PET imaging in NSCLC patients yields higher SUV<sub>maxwb</sub> and TBR, enhancing tumor visibility. Despite this, its prognostic value is less significant than SD PET after adjusting clinical TNM stage. Thus, consideration should be given to using HD PET reconstruction to increase tumor visibility, and SD PET is recommended for NSCLC patient prognostication and therapeutic evaluation, as well as for the classification of lung nodules.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"229-233"},"PeriodicalIF":1.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Measurement and Prognostic Power of SUV Between High-Definition and Standard PET Imaging in Non-Small Cell Lung Cancer Patients.\",\"authors\":\"Yonglin Pu, Bill C Penney, Jingmian Zhang, Kevin Little, Cassie A Simon, Nicholas Feinberg, Michael Hanzhe Zhang, Gloria Hwang, Daniel Eric Appelbaum\",\"doi\":\"10.2967/jnmt.124.267684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to evaluate the measurement and prognostic ability of the SUV<sub>max</sub> of whole-body tumors (SUV<sub>maxwb</sub>) in non-small cell lung cancer (NSCLC) patients, comparing high-definition (HD) PET imaging with standard-definition (SD) PET imaging. <b>Methods:</b> The study included 242 consecutive NSCLC patients who underwent baseline <sup>18</sup>F-FDG PET/CT from April 2018 to January 2021. Two imaging techniques were used: HD PET (using ordered-subsets expectation maximization with point-spread function modeling and time-of-flight techniques and smaller voxels) and SD PET (with ordered-subsets expectation maximization and time-of-flight techniques). SUV<sub>maxwb</sub> was determined by measuring all the tumor lesions in the whole body, and tumor-to-background ratio (TBR) was calculated using the background SUV<sub>mean</sub> of various body parts. <b>Results:</b> The patient cohort had an average age of 68.3 y, with 59.1% being female. During a median follow-up of 29.6 mo, 83 deaths occurred. SUV<sub>maxwb</sub> was significantly higher in HD PET than SD PET, with respective medians of 17.4 and 11.8. The TBR of 1,125 tumoral lesions was also higher in HD PET. Univariate Cox regression analysis showed that SUV<sub>maxwb</sub> from both HD and SD PET were significantly associated with overall survival. However, after adjusting for TNM (tumor, node, metastasis) stage, only SUV<sub>maxwb</sub> from SD PET remained significantly associated with survival. <b>Conclusion:</b> HD PET imaging in NSCLC patients yields higher SUV<sub>maxwb</sub> and TBR, enhancing tumor visibility. Despite this, its prognostic value is less significant than SD PET after adjusting clinical TNM stage. Thus, consideration should be given to using HD PET reconstruction to increase tumor visibility, and SD PET is recommended for NSCLC patient prognostication and therapeutic evaluation, as well as for the classification of lung nodules.</p>\",\"PeriodicalId\":16548,\"journal\":{\"name\":\"Journal of nuclear medicine technology\",\"volume\":\" \",\"pages\":\"229-233\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of nuclear medicine technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2967/jnmt.124.267684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of nuclear medicine technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2967/jnmt.124.267684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在评估非小细胞肺癌(NSCLC)患者全身肿瘤SUVmax(SUVmaxwb)的测量和预后能力,比较高清(HD)PET成像和标清(SD)PET成像。研究方法研究纳入了2018年4月至2021年1月期间连续接受基线18F-FDG PET/CT检查的242例NSCLC患者。使用了两种成像技术:高清 PET(采用有序子集期望最大化,并使用点扩散函数建模和飞行时间技术以及较小的体素)和标清 PET(采用有序子集期望最大化和飞行时间技术)。SUVmaxwb通过测量全身所有肿瘤病灶确定,肿瘤与背景比值(TBR)通过身体各部位的背景SUVmean计算得出。结果患者平均年龄为 68.3 岁,59.1% 为女性。在中位 29.6 个月的随访期间,共有 83 人死亡。HD PET的SUVmaxwb明显高于SD PET,中位数分别为17.4和11.8。在1125个肿瘤病灶中,HD PET的TBR也更高。单变量考克斯回归分析表明,高清和标清 PET 的 SUVmaxwb 与总生存率有明显相关性。然而,在对 TNM(肿瘤、结节、转移)分期进行调整后,只有标清 PET 的 SUVmaxwb 与生存率仍有显著相关性。结论NSCLC患者的高清PET成像可产生更高的SUVmaxwb和TBR,从而提高肿瘤的可见度。尽管如此,在调整临床 TNM 分期后,高清 PET 的预后价值不如标清 PET 重要。因此,应考虑使用高清 PET 重建来提高肿瘤的可见度,并建议将标清 PET 用于 NSCLC 患者的预后和治疗评估,以及肺结节的分类。
Comparison of Measurement and Prognostic Power of SUV Between High-Definition and Standard PET Imaging in Non-Small Cell Lung Cancer Patients.
This study aimed to evaluate the measurement and prognostic ability of the SUVmax of whole-body tumors (SUVmaxwb) in non-small cell lung cancer (NSCLC) patients, comparing high-definition (HD) PET imaging with standard-definition (SD) PET imaging. Methods: The study included 242 consecutive NSCLC patients who underwent baseline 18F-FDG PET/CT from April 2018 to January 2021. Two imaging techniques were used: HD PET (using ordered-subsets expectation maximization with point-spread function modeling and time-of-flight techniques and smaller voxels) and SD PET (with ordered-subsets expectation maximization and time-of-flight techniques). SUVmaxwb was determined by measuring all the tumor lesions in the whole body, and tumor-to-background ratio (TBR) was calculated using the background SUVmean of various body parts. Results: The patient cohort had an average age of 68.3 y, with 59.1% being female. During a median follow-up of 29.6 mo, 83 deaths occurred. SUVmaxwb was significantly higher in HD PET than SD PET, with respective medians of 17.4 and 11.8. The TBR of 1,125 tumoral lesions was also higher in HD PET. Univariate Cox regression analysis showed that SUVmaxwb from both HD and SD PET were significantly associated with overall survival. However, after adjusting for TNM (tumor, node, metastasis) stage, only SUVmaxwb from SD PET remained significantly associated with survival. Conclusion: HD PET imaging in NSCLC patients yields higher SUVmaxwb and TBR, enhancing tumor visibility. Despite this, its prognostic value is less significant than SD PET after adjusting clinical TNM stage. Thus, consideration should be given to using HD PET reconstruction to increase tumor visibility, and SD PET is recommended for NSCLC patient prognostication and therapeutic evaluation, as well as for the classification of lung nodules.