Wessendorf Joel, Spektor Anna-Maria, Aboulmaouahib Brahim, Daum Johanna, Glatting Frederik M, Schlamp Kai, Grott Matthias, Eichhorn Florian, Heußel Claus Peter, Kauczor Hans Ulrich, Kreuter Michael, Schreckenberger Mathias, Winter Hauke, Haberkorn Uwe, Röhrich Manuel
Department of Nuclear Medicine, University Hospital Mainz, Langenbeckstraße 1, 55131, Mainz, Germany.
Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Cancer Imaging. 2025 Jun 12;25(1):73. doi: 10.1186/s40644-025-00886-w.
Pulmonary lesions inconclusive in F-FDG PET/CT are a known clinical problem. Both texture analysis and Ga-FAPI-46 have shown potential in thoracic oncological problems but their combination has not been assessed yet. This initial analysis aims to evaluate the utility of Ga-FAPI-46 PET texture parameters to differentiate between lung cancer and benign pulmonary lesions inconclusive in F-FDG PET/CT.
20 histologically confirmed pulmonary lesions (13 lung cancer, 7 benign) in 19 patients were evaluated. All patients underwent an inconclusive F-FDG PET/CT before Ga-FAPI-46 PET/CT. 64 texture parameters and conventional parameters (SUVs, TBRs) were analyzed. Texture parameters with significant (P < 0.05) differences between lung cancer and benign lesions were detected by the Mann-Whitney U test. Boxplots and a scatter plot matrix were created. Principal component analyses and Spearman correlations were performed. Receiver operating characteristics curves with area under the curve (AUC) values were created for univariable and bivariable logistic regression.
The texture parameters HIST Maximum grey level (AUC = 0.901), HIST Mean (AUC = 0.802), HIST Mode (AUC = 0.835), HIST Range (AUC = 0.901) and GLCM Information correlation 1 (AUC = 0.824) showed significant differences between lung cancer and benign pulmonary lesions. AUC values of conventional parameters (SUVmax, SUVmean, TBR(SUVmax), TBR(SUVmean)) were 0.791, 0.868, 0.802 and 0.857, respectively. Maximum AUC values of bivariable logistic regression were 0.967 and 0.978 for two texture parameters and the combination of conventional and texture parameters, respectively. Correlations between texture parameter pairs were mainly moderate (0.4≤ρ≤0.59). 2/5 texture parameters (HIST Mean, HIST Mode) displayed no very strong correlations (0.8≤ρ≤1.00) to any conventional parameters or lesion volume.
Ga-FAPI-46 PET texture parameters show great potential to differentiate between lung cancer and benign pulmonary lesions inconclusive in F-FDG/PET. Spearman correlations indicate additional information value of texture parameters.
F-FDG PET/CT检查结果不明确的肺部病变是一个已知的临床问题。纹理分析和Ga-FAPI-46在胸部肿瘤问题中均显示出潜力,但它们的联合应用尚未得到评估。这项初步分析旨在评估Ga-FAPI-46 PET纹理参数在鉴别F-FDG PET/CT检查结果不明确的肺癌和良性肺部病变中的效用。
对19例患者的20个经组织学证实的肺部病变(13例肺癌,7例良性病变)进行评估。所有患者在接受Ga-FAPI-46 PET/CT检查前均进行了结果不明确的F-FDG PET/CT检查。分析了64个纹理参数和常规参数(SUV值、TBR值)。采用Mann-Whitney U检验检测肺癌和良性病变之间具有显著差异(P < 0.05)的纹理参数。创建了箱线图和散点图矩阵。进行了主成分分析和Spearman相关性分析。为单变量和双变量逻辑回归创建了曲线下面积(AUC)值的受试者工作特征曲线。
纹理参数HIST最大灰度值(AUC = 0.901)、HIST均值(AUC = 0.802)、HIST众数(AUC = 0.835)、HIST范围(AUC = 0.901)和GLCM信息相关性1(AUC = 0.824)在肺癌和良性肺部病变之间显示出显著差异。常规参数(SUVmax、SUVmean、TBR(SUVmax)、TBR(SUVmean))的AUC值分别为0.791、0.868、0.802和0.857。两个纹理参数以及常规参数与纹理参数组合的双变量逻辑回归的最大AUC值分别为0.967和0.978。纹理参数对之间的相关性主要为中等(0.4≤ρ≤0.59)。2/5个纹理参数(HIST均值、HIST众数)与任何常规参数或病变体积均无非常强的相关性(0.8≤ρ≤1.00)。
Ga-FAPI-46 PET纹理参数在鉴别F-FDG/PET检查结果不明确的肺癌和良性肺部病变方面显示出巨大潜力。Spearman相关性表明纹理参数具有额外的信息价值。