Feasibility of different lymph node metastases delineation approaches in [18F]SiTATE PET/CT imaging in NET patients.

IF 1.7
Sophie Carina Siegmund, Magdalena Schöll, Vera U Wenter, Gabriel T Sheikh, Maximilian Scheifele, Franz Josef Gildehaus, Simon Lindner, Lalith K Shiyam Sundar, Christine Spitzweg, Christoph J Auernhammer, Rudolf A Werner, Mathias J Zacherl
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Abstract

Background: Accurate tumor delineation in somatostatin receptor (SSTR) PET/CT is imperative for quantifying tumor burden, therapy monitoring, and response assessment in gastroenteropancreatic neuroendocrine tumors (GEPNETs). This study aimed to evaluate different SSTR PET-based tumor delineation approaches, based on a lymph node metastasis as reference standard, and determine the most robust method for volume assessment. Singular, non-bulky lymph node metastases with a short axis diameter ≥ 1.0 cm from [¹⁸F]SiTATE PET/CT scans were included. Different tumor delineation methods were applied: fixed SUV thresholds, isocontours relative to SUVmax, and individual backwards thresholding. The correlation between PET-derived volumes and CT-derived volumes (reference standard) were investigated.

Results: An isocontour approach using 45% of SUVmax demonstrated the strongest correlation with CT-derived volumes (r = 0.874; r² = 0.764; p < 0.001), outperforming fixed SUV thresholds, e.g. SUV 4.0 (r = 0.727; r2 = 0.529; p < 0.001). The application of a backwards threshold approach resulted in the identification of significant variability (CoV: 59.6% for fixed SUV, 31.3% for isocontour).

Conclusion: The 45% isocontour-thresholding relative to lesional SUVmax approach constitutes a robust and clinically applicable method for SSTR PET-based tumor delineation in GEPNET patients, irrespective of changes of SSTR avidity of reference tissues (e.g. liver). Further validation is required to establish its role in total tumor volume assessment and therapy monitoring.

Abstract Image

Abstract Image

[18F] NET患者原位PET/CT成像中不同淋巴结转移划定方法的可行性。
背景:在生长抑素受体(SSTR) PET/CT上准确描绘肿瘤对于量化胃肠道胰腺神经内分泌肿瘤(GEPNETs)的肿瘤负荷、治疗监测和反应评估至关重要。本研究旨在评估不同的基于SSTR pet的肿瘤描绘方法,以淋巴结转移为参考标准,并确定最可靠的体积评估方法。我们纳入了[¹⁸F]SiTATE PET/CT扫描显示的短轴直径≥1.0 cm的单一、非肿大淋巴结转移。采用不同的肿瘤描绘方法:固定的SUV阈值,相对于SUVmax的等轮廓线,以及个体向后阈值。研究了pet衍生体积与ct衍生体积(参考标准)之间的相关性。结论:相对于病变SUVmax方法,45%等轮廓阈值是一种稳健且临床适用的方法,可用于基于SSTR pet的GEPNET患者肿瘤描绘,而不考虑参比组织(如肝脏)的SSTR密度变化。需要进一步验证其在肿瘤总体积评估和治疗监测中的作用。
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