Initial Staging of Lung Cancer with FDG PET/CT DOI
Aysu Sinem Koç, Recep Savaş

Current Pulmonology Reports, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 29, 2024

Language: Английский

[18F]F-FAPI-42 PET dynamic imaging characteristics and multiparametric quantification of lung cancer: an exploratory study using uEXPLORER PET/CT DOI Creative Commons
Lijuan Wang,

Xiaojuan Pan,

Shimin Ye

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

Citations

3
FAPI PET in the Management of Lung Tumors DOI
Anne-Leen Deleu, Qaid Ahmed Shagera, Sophie E. M. Veldhuijzen van Zanten

et al.

Seminars in Nuclear Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Assessment of fully quantitative and simplified methods for analysis of [68Ga]Ga-FAPI-46 uptake in patients with pancreatobiliary cancer using LAFOV PET/CT DOI

Xavier Palard-Novello,

Rutger B. Henrar, Daniela E. Oprea‐Lager

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

0
Design and Preclinical Evaluation of 99mTc-Labeled Dimer FAPI-46 Derivatives as Potential Tumor Radiotracers DOI
Qing Ruan,

Li-Na Diao,

Zuojie Li

et al.

European Journal of Medicinal Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 117343 - 117343

Published: Jan. 1, 2025

Language: Английский

Citations

0
Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer DOI Creative Commons
Harriet L Lancaster,

Anna N H Walstra,

Kyle J. Myers

et al.

European Journal of Cancer, Journal Year: 2025, Volume and Issue: 220, P. 115323 - 115323

Published: Feb. 22, 2025

Language: Английский

Citations

0
Evaluation of locoregional invasiveness of early lung adenocarcinoma manifesting as ground-glass nodules via [68Ga]Ga-FAPI-46 PET/CT imaging DOI
Dan Ruan,

Sien Shi,

Weixi Guo

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: May 24, 2025

Language: Английский

Citations

0
[68Ga]Ga-FAPI-46 PET/CT for Staging Suspected/Confirmed Lung Cancer: Results on the Surgical Cohort Within a Monocentric Prospective Trial DOI Creative Commons

Lucia Zanoni,

Emilia Fortunati, Giulia Cuzzani

et al.

Pharmaceuticals, Journal Year: 2024, Volume and Issue: 17(11), P. 1468 - 1468

Published: Nov. 1, 2024

To evaluate T&N-staging diagnostic performance of [68Ga]Ga-FAPI-46 PET/CT (FAPI) in a suspected/confirmed lung cancer surgical cohort.

Language: Английский

Citations

3
SNMMI Procedure Standard/EANM Practice Guideline for Fibroblast Activation Protein (FAP) PET DOI Creative Commons
Thomas A. Hope, Jérémie Calais, Ajit H. Goenka

et al.

Journal of Nuclear Medicine, Journal Year: 2024, Volume and Issue: unknown, P. jnumed.124.269002 - jnumed.124.269002

Published: Nov. 21, 2024

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) is an international scientific professional organization founded in 1954 to promote the science, technology, practical application nuclear medicine. European Association (EANM) a non-

Language: Английский

Citations

3
Leveraging machine learning with dynamic 18F-FDG PET/CT: integrating metabolic and flow features for lung cancer differential diagnosis DOI Creative Commons

Zhiheng Yao,

Yubo Wang, Yaping Wu

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0
Lung lesion detectability on images obtained from decimated and CNN-based denoised [18F]-FDG PET/CT scan: an observer-based study for lung-cancer screening DOI Creative Commons
Daphné Faist, Silvano Gnesin, Siria Medici

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Abstract Purpose To assess feasibility of lung cancer screening, we analysed lesion detectability simulating low-dose and convolutional neural network (CNN) denoised [ 18 F]-FDG PET/CT reconstructions. Methods Retrospectively, lesions on full statistics decimated PET/CT. Reduced count PET data were emulated according to various percentage levels total. Full reduced datasets using a CNN algorithm trained recreate PET. Two readers assessed score from 3 0 for each lesion. The resulting quantitative measurements compared between the different decimation (100%, 30%, 5%, 2%, 1%) with without denoising. Results We 141 49 patients across 588 dichotomised malignancy was significantly 10% denoising ( p < 0.029) 5% 0.001). Compared statistics, distribution differed 2% 0.001) Detectability scores at same or 10%, 1% 0.019); did not differ significantly. Denoising increased proportion high diagnostic confidence (3 0) 0.038). Conclusion Lung preserved down 30% injected activity These results support reduced-activity as potential tool detection. Further studies are warranted compare this approach CT in screening settings.

Language: Английский

Citations

0