Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions.

IF 3.5 2区 医学 Q2 ONCOLOGY
Joel Wessendorf, Anna-Maria Spektor, Brahim Aboulmaouahib, Johanna Daum, Frederik M Glatting, Kai Schlamp, Matthias Grott, Florian Eichhorn, Claus Peter Heußel, Hans Ulrich Kauczor, Michael Kreuter, Mathias Schreckenberger, Hauke Winter, Uwe Haberkorn, Manuel Röhrich
{"title":"Image analysis: <sup>68</sup>Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions.","authors":"Joel Wessendorf, Anna-Maria Spektor, Brahim Aboulmaouahib, Johanna Daum, Frederik M Glatting, Kai Schlamp, Matthias Grott, Florian Eichhorn, Claus Peter Heußel, Hans Ulrich Kauczor, Michael Kreuter, Mathias Schreckenberger, Hauke Winter, Uwe Haberkorn, Manuel Röhrich","doi":"10.1186/s40644-025-00886-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Pulmonary lesions inconclusive in <sup>18</sup>F-FDG PET/CT are a known clinical problem. Both texture analysis and <sup>68</sup>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 <sup>68</sup>Ga-FAPI-46 PET texture parameters to differentiate between lung cancer and benign pulmonary lesions inconclusive in <sup>18</sup>F-FDG PET/CT.</p><p><strong>Materials and methods: </strong>20 histologically confirmed pulmonary lesions (13 lung cancer, 7 benign) in 19 patients were evaluated. All patients underwent an inconclusive <sup>18</sup>F-FDG PET/CT before <sup>68</sup>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong><sup>68</sup>Ga-FAPI-46 PET texture parameters show great potential to differentiate between lung cancer and benign pulmonary lesions inconclusive in <sup>18</sup>F-FDG/PET. Spearman correlations indicate additional information value of texture parameters.</p>","PeriodicalId":9548,"journal":{"name":"Cancer Imaging","volume":"25 1","pages":"73"},"PeriodicalIF":3.5000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12164081/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40644-025-00886-w","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Pulmonary lesions inconclusive in 18F-FDG PET/CT are a known clinical problem. Both texture analysis and 68Ga-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 68Ga-FAPI-46 PET texture parameters to differentiate between lung cancer and benign pulmonary lesions inconclusive in 18F-FDG PET/CT.

Materials and methods: 20 histologically confirmed pulmonary lesions (13 lung cancer, 7 benign) in 19 patients were evaluated. All patients underwent an inconclusive 18F-FDG PET/CT before 68Ga-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.

Results: 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.

Conclusion: 68Ga-FAPI-46 PET texture parameters show great potential to differentiate between lung cancer and benign pulmonary lesions inconclusive in 18F-FDG/PET. Spearman correlations indicate additional information value of texture parameters.

图像分析:68Ga-FAPI-46 PET衍生的纹理参数提高了肺部良恶性病变的鉴别。
背景:18F-FDG PET/CT肺部病变不明确是一个已知的临床问题。质地分析和68Ga-FAPI-46都显示出在胸部肿瘤问题中的潜力,但它们的组合尚未得到评估。本初步分析旨在评估68Ga-FAPI-46 PET织构参数在18F-FDG PET/CT上鉴别肺癌和良性肺病变的效用。材料与方法:对19例经组织学证实的肺病变20例(肺癌13例,良性7例)进行评价。所有患者在68Ga-FAPI-46 PET/CT之前进行了不确定的18F-FDG PET/CT检查。对64个纹理参数和常规参数(suv、TBRs)进行了分析。结果:肺癌与肺良性病变的纹理参数HIST最大灰度(AUC = 0.901)、HIST均值(AUC = 0.802)、HIST模式(AUC = 0.835)、HIST范围(AUC = 0.901)、GLCM信息相关性1 (AUC = 0.824)差异均有统计学意义。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。双变量logistic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的纹理参数(HIST Mean, HIST Mode)与任何常规参数或病变体积没有很强的相关性(0.8≤ρ≤1.00)。结论:68Ga-FAPI-46 PET织构参数在鉴别肺癌和肺良性病变方面具有很大的潜力,18F-FDG/PET的鉴别结果尚无定论。Spearman相关性表示纹理参数的附加信息值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cancer Imaging
Cancer Imaging ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
7.00
自引率
0.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Cancer Imaging is an open access, peer-reviewed journal publishing original articles, reviews and editorials written by expert international radiologists working in oncology. The journal encompasses CT, MR, PET, ultrasound, radionuclide and multimodal imaging in all kinds of malignant tumours, plus new developments, techniques and innovations. Topics of interest include: Breast Imaging Chest Complications of treatment Ear, Nose & Throat Gastrointestinal Hepatobiliary & Pancreatic Imaging biomarkers Interventional Lymphoma Measurement of tumour response Molecular functional imaging Musculoskeletal Neuro oncology Nuclear Medicine Paediatric.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信