First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters.
Objective: This study was conducted to explore the predictive value of PET parameters derived from 18F-FAPI-42 PET/CT in assessing lymphovascular and/or perineural invasion (LVI/PNI) in gastric cancer (GC) patients. Methods: 72 GC patients who underwent 18F-FAPI-42 PET/CT prior to surgical resection...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 52; no. 13; pp. 4778 - 4788 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189136460&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189136460 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Nov2025 vid: 52 iid: 13 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189136460 185254458 10.1007/s00259-025-07325-9 189136460 ppf: 4778 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters. aug: au: Fu, Lilan Xie, Fei Sun, Penghui Dong, Ye Zhou, Kemin Jiang, Li Wu, Ruihe Han, Yanjiang Wu, Hubing Tang, Ganghua Zhou, Wenlan affil: https://ror.org/01eq10738 Department of Nuclear Medicine, NanFang Hospital, Southern Medical University, Guangzhou, Guangdong, China sug: ab: Objective: This study was conducted to explore the predictive value of PET parameters derived from 18F-FAPI-42 PET/CT in assessing lymphovascular and/or perineural invasion (LVI/PNI) in gastric cancer (GC) patients. Methods: 72 GC patients who underwent 18F-FAPI-42 PET/CT prior to surgical resection were included. Clinicopathological factors and PET parameters were collected and analyzed in LVI/PNI-negative and LVI/PNI-positive groups. The predictive value of PET parameters for LVI/PNI status was evaluated using the receiver operating characteristic (ROC) curve. A nomogram was developed using significant predictors from multivariate stepwise regression analysis and its performance was assessed by decision curve analysis (DCA). Results: Univariate analysis indicated a significant association between LVI/PNI status and PET parameters (SUVmax, SUVmean, and TBR) (all p < 0.001). The area under the ROC curve (AUC) values for predicting LVI/PNI were 0.932 [95% CI (0.877–0.987)] for SUVmax, 0.923 [95% CI (0.861–0.984)] for SUVmean, and 0.925 [95% CI (0.865–0.985)] for TBR. The optimal cutoff values for prediction, along with their corresponding sensitivity and specificity, were 3.86 (93.3% and 81.5%) for SUVmax, 2.04 (93.3% and 81.5%) for SUVmean, and 9.75 (91.1% and 81.5%) for TBR. Multivariate analysis identified histological grade and SUVmax as independent risk factors for LVI/PNI prediction. Our nomogram had good discriminatory ability (AUC = 0.934) and offered net benefits in predicting LVI/PNI status by DCA. Conclusion: This study demonstrates that FAPI uptake parameters exhibit an exceptionally high capacity and serve as a noninvasive preoperative tool for predicting LVI/PNI status in GC, with SUVmax emerging as the most suitable predictive indicator. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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