Lee Hyunjong, Hyun Seung Hyup, Cho Yong Beom, Kim Hee Cheol, Park Hee Chul, Park Young Suk, Choi Joon Young
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sci Rep. 2024 Dec 28;14(1):31437. doi: 10.1038/s41598-024-83109-9.
Texture analysis generates image parameters from F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). Although some parameters correlate with tumor biology and clinical attributes, their types and implications can be complex. To overcome this limitation, pseudotime analysis was applied to texture parameters to estimate changes in individual sample characteristics, and the prognostic significance of the estimated pseudotime of primary tumors was evaluated. Our subjects were 224 rectal cancer patients who underwent pretherapeutic FDG PET/CT and neoadjuvant concurrent chemoradiation therapy (CCRT). Texture parameters of the primary tumor were extracted from FDG PET/CT images acquired before neoadjuvant CCRT. The pseudotime of the primary tumor was successfully derived from texture parameters using the Phenopath tool. Clinico-pathologic features were obtained and survival analysis was performed. Pseudotime, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) demonstrated significant associations with overall survival. Unlike MTV and TLG, pseudotime was an independent prognostic factor for overall survival (hazard ratio = 4.807, p-value = 0.037). Pseudotime analysis integrates various metabolic texture parameters into a single metric. Pseudotime estimated from FDG PET/CT images of primary tumors shows superior prognostic significance to conventional PET parameters in patients with locally advanced rectal cancer treated with tri-modality therapy.
纹理分析可从F-18氟脱氧葡萄糖正电子发射断层扫描/计算机断层扫描（FDG PET/CT）中生成图像参数。尽管一些参数与肿瘤生物学和临床特征相关，但其类型和含义可能很复杂。为克服这一局限性，将伪时间分析应用于纹理参数，以估计个体样本特征的变化，并评估原发性肿瘤估计伪时间的预后意义。我们的研究对象是224例接受治疗前FDG PET/CT和新辅助同步放化疗（CCRT）的直肠癌患者。原发性肿瘤的纹理参数是从新辅助CCRT前获取的FDG PET/CT图像中提取的。使用Phenopath工具从纹理参数中成功得出原发性肿瘤的伪时间。获取临床病理特征并进行生存分析。伪时间、代谢肿瘤体积（MTV）和总病变糖酵解（TLG）与总生存期显著相关。与MTV和TLG不同，伪时间是总生存期的独立预后因素（风险比=4.807，p值=0.037）。伪时间分析将各种代谢纹理参数整合为一个单一指标。在接受三联疗法治疗的局部晚期直肠癌患者中，从原发性肿瘤的FDG PET/CT图像估计的伪时间显示出比传统PET参数更好的预后意义。
