The valuable role of dynamic 18F FDG PET/CT-derived kinetic parameter Ki in patients with nasopharyngeal carcinoma prior to radiotherapy: A prospective study

• Published in: Radiotherapy and oncology Vol. 179
• Main Authors: Huang, Xiaotao, Zhuang, Mingzan, Yang, Shuai, Wang, Ying, Liu, Qiaodan, Xu, Xiwei, Xiao, Mei, Peng, Yingpeng, Jiang, Ping, Xu, Wenhua, Guo, Shuanshuan, Wang, Rong, Wei, Wei, Zhong, Guihua, Zhou, Yuling, Peng, Shunli, Li, Xuanzi, Cui, Jianqi, Wang, Siyang, Zhang, Yaqin, Liu, Zhigang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2023
• Subjects: Dynamic PET/CT; Nasopharyngeal carcinoma; Patlak analysis; LN; IMRT; OS; PT; Patlak analysis; AUC; Nasopharyngeal carcinoma; DFS; VOI; SUV; Ki; PET; Dynamic PET/CT
• ISSN: 0167-8140; 1879-0887
• DOI: 10.1016/j.radonc.2022.109440

•Dynamic PET/CT offered the potential to improve the prediction and prognosis.•Ki derived from dynamic PET/CT reflecting the metabolism and biological activities of tissue.•Ki served as the complementary role of characterizing nasopharyngeal carcinoma.•Ki was potential to treat as a valuable imaging biomarker of NPC. Dynamic positron emission tomography/computed tomography (PET/CT) served the potential role of characterizing malignant foci. The main objective of this prospective study was to explore the advantage of dynamic PET/CT imaging in characterizing nasopharyngeal carcinoma (NPC). Patients with probable head and neck disease underwent a local dynamic PET/CT scan followed by a whole-body static scan. Patlak analysis was used to generate parametric influx rate constant (Ki) images from 48 frames obtained from a dynamic PET/CT scan. By delineating the volumes-of-interest (VOIs) of: primary tumor (PT), lymph node (LN), and normal nasopharyngeal tissues (N), we acquired the corresponding Ki mean and SUVmean of each site respectively to perform the quantitative statistical analysis. Qualified images of 71 patients with newly diagnosed NPC and 8 without nasopharyngeal malignant lesions were finally included. We found the correlations between Ki mean-PT and critical clinical features, including clinical stage (r = 0.368), T category (r = 0.643) and EBV-DNA copy status (r = 0.351), and Ki mean-PT differed within the group. SUVmean-PT showed correlations with clinical stage (r = 0.280) and T category (r = 0.472), but could hardly differ systematically within group of clinical features except T category. Ki mean-LN offered the positive correlations with N category (r = 0.294), M category (r = 0.238) and EBV-DNA copy status (r = 0.446), and differed within the group. In addition, Ki mean represented a sensitivity of 94.4 % and a specificity of 100 %, in distinguishing NPC from the non-NPC, when the cut-off was defined as 0.0106. When the cut-off of SUV being defined as 2.03, the sensitivity and specificity were both 100 %. Our research confirmed Ki compared favorably to SUV in characterizing NPC and found that Ki can serve as an effective imaging marker of NPC.