Differentiating second primary lung cancer from pulmonary metastasis in patients of single solitary pulmonary lesion with extrapulmonary tumor using multiparametric analysis of FDG PET/CT

Combining multiple parameters using <sup>18</sup>F-FDG PET/CT may further improve distinguishing between SPLCs and PMs in patients with single solitary pulmonary lesion and extrapulmonary malignant tumor.

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Publication Details

Journal
Annals of Nuclear Medicine
Published
2025-03-05
DOI
https://doi.org/10.1007/s12149-025-02034-7
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08
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article

Differentiating second primary lung cancer from pulmonary metastasis in patients of single solitary pulmonary lesion with extrapulmonary tumor using multiparametric analysis of FDG PET/CT

Tao Wang, Xiaolin Meng, Yanmei Wang, Ruimin Wang et al.
3 citations
Annals of Nuclear Medicine
Radiomics and Machine Learning in Medical Imaging
4.08
article

Differentiating second primary lung cancer from pulmonary metastasis in patients of single solitary pulmonary lesion with extrapulmonary tumor using multiparametric analysis of FDG PET/CT

Tao Wang, Xiaolin Meng, Yanmei Wang, Ruimin Wang, Honghong Liu, Guanyun Wang, Shulin Yao
article en
3 citations

Abstract

Combining multiple parameters using <sup>18</sup>F-FDG PET/CT may further improve distinguishing between SPLCs and PMs in patients with single solitary pulmonary lesion and extrapulmonary malignant tumor.

Annals of Nuclear MedicineVol. 39(6)
Capital Medical University (CN), Chinese PLA General Hospital (CN), Beijing Friendship Hospital (CN)
Openalex Percentile: Top 7%
Radiomics and Machine Learning in Medical Imaging
4.08
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