Defining the optimal segmentation method for measuring somatostatin receptor expressing tumor volume on 68 Ga-DOTATATE positron emission tomography/computed tomography to predict prognosis in patients with gastroenteropancreatic neuroendocrine tumors.

IF 1.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Nuclear Medicine Communications Pub Date : 2024-08-01 Epub Date: 2024-05-15 DOI:10.1097/MNM.0000000000001861
Nuh Filizoglu, Salih Ozguven, Tugba Akin Telli, Tunc Ones, Fuat Dede, Halil T Turoglu, Tanju Y Erdil
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引用次数: 0

Abstract

Objective: We aimed to compare different segmentation methods used to calculate prognostically valuable volumetric parameters, somatostatin receptor expressing tumor volume (SRETV), and total lesion somatostatin receptor expression (TLSRE), measured by 68 Ga-DOTATATE PET/CT and to find the optimal segmentation method to predict prognosis.

Patients and methods: Images of 34 patients diagnosed with gastroenteropancreatic neuroendocrine tumor (GEPNET) who underwent 68 Ga-DOTATATE PET/CT imaging were reanalyzed. Four different threshold-based methods (fixed relative threshold method, normal liver background threshold method, fixed absolute standardized uptake value (SUV) threshold method, and adaptive threshold method) were used to calculate SRETV and TLSRE values. SRETV of all lesions of a patient was summarized as whole body SRETV (WB-SRETV) and TLSRE of all lesions of a patient was computed as whole body TLSRE (WB-TLSRE).

Results: WB-SRETVs calculated with all segmentation methods were statistically significantly associated with progression-free survival except WB-SRETV at which was calculated using adaptive threshold method. The fixed relative threshold methods calculated by using 45% (WB-SRETV 45% ) and 60% (WB-SRETV 60% ) of the SUV value as threshold respectively, were found to have statistically significant highest prognostic value (C-index = 0.704, CI = 0.622-0.786, P  = 0.007). Among WB-TLSRE parameters, WB-TLSRE 35% , WB-TLSRE 40% , and WB-TLSRE 50% had the highest prognostic value (C-index = 0.689, CI = 0.604-0.774, P  = 0.008).

Conclusion: The fixed relative threshold method was found to be the most effective and easily applicable method to measure SRETV on pretreatment 68 Ga-DOTATATE PET/CT to predict prognosis in GEPNET patients. WB-SRETV 45% (cutoff value of 11.8 cm 3 ) and WB-SRETV 60% (cutoff value of 6.3 cm 3 ) were found to be the strongest predictors of prognosis in GEPNET patients.

确定68Ga-DOTATATE正电子发射断层扫描/计算机断层扫描测量体生长抑素受体表达肿瘤体积的最佳分割方法,以预测胃肠胰神经内分泌肿瘤患者的预后。
目的:我们的目的是比较用于计算68Ga-DOTATATE PET/CT测量的具有预后价值的体积参数--体生长激素受体表达肿瘤体积(SRETV)和总病灶体生长激素受体表达(TLSRE)的不同分割方法,并找出预测预后的最佳分割方法:重新分析了34名被诊断为胃肠胰神经内分泌肿瘤(GEPNET)患者的图像,这些患者接受了68Ga-DOTATATE PET/CT成像。采用四种不同的基于阈值的方法(固定相对阈值法、正常肝脏背景阈值法、固定绝对标准化摄取值(SUV)阈值法和自适应阈值法)计算 SRETV 和 TLSRE 值。患者所有病灶的 SRETV 总结为全身 SRETV(WB-SRETV),患者所有病灶的 TLSRE 计算为全身 TLSRE(WB-TLSRE):结果:除使用自适应阈值法计算的WB-SRETVat外,所有分割方法计算的WB-SRETV与无进展生存期均有显著统计学相关性。以SUV值的45%(WB-SRETV45%)和60%(WB-SRETV60%)分别作为阈值计算的固定相对阈值法,在统计学上具有最高的预后价值(C-指数=0.704,CI=0.622-0.786,P=0.007)。在WB-TLSRE参数中,WB-TLSRE35%、WB-TLSRE40%和WB-TLSRE50%的预后价值最高(C-指数=0.689,CI=0.604-0.774,P=0.008):结论:固定相对阈值法是预测GEPNET患者预后的最有效、最简便的方法。研究发现,WB-SRETV45%(临界值为11.8 cm3)和WB-SRETV60%(临界值为6.3 cm3)是预测GEPNET患者预后的最强指标。
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来源期刊
CiteScore
2.20
自引率
6.70%
发文量
212
审稿时长
3-8 weeks
期刊介绍: Nuclear Medicine Communications, the official journal of the British Nuclear Medicine Society, is a rapid communications journal covering nuclear medicine and molecular imaging with radionuclides, and the basic supporting sciences. As well as clinical research and commentary, manuscripts describing research on preclinical and basic sciences (radiochemistry, radiopharmacy, radiobiology, radiopharmacology, medical physics, computing and engineering, and technical and nursing professions involved in delivering nuclear medicine services) are welcomed, as the journal is intended to be of interest internationally to all members of the many medical and non-medical disciplines involved in nuclear medicine. In addition to papers reporting original studies, frankly written editorials and topical reviews are a regular feature of the journal.
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