The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC
ObjectiveTo investigate the value of Fluorine-18 Fluorodeoxyglucose (18F-FDG) Positron Emission Tomography/Computed Tomography (PET/CT) combined with 3D quantitative technology and clinicopathological features in predicting the prognosis of non-small cell lung cancer (NSCLC).MethodsA retrospective r...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1533569/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850216055602937856 |
|---|---|
| author | Yuling Su Siwen Qiu Jinyu Wang |
| author_facet | Yuling Su Siwen Qiu Jinyu Wang |
| author_sort | Yuling Su |
| collection | DOAJ |
| description | ObjectiveTo investigate the value of Fluorine-18 Fluorodeoxyglucose (18F-FDG) Positron Emission Tomography/Computed Tomography (PET/CT) combined with 3D quantitative technology and clinicopathological features in predicting the prognosis of non-small cell lung cancer (NSCLC).MethodsA retrospective review was performed for patients who underwent PET/CT and curative resection of NSCLC between January 2016 and June 2019 in our hospital. PET/CT data, clinical features, and pathology results were collected. Gross tumor volume (GTV) was delineated on CT images by ITK-SNAP software. The prognosis was followed up, and the study endpoint was progression-free survival (PFS). Receiver operating characteristic curve (ROC) was used to initially assess the relationship between each parameter and PFS, and parameters were grouped accordingly. Cox proportional hazards regression was used to develop models based on clinicopathological features to predict prognosis of NSCLC patients. Kaplan–Meier method was used to draw the survival curves.ResultsA total of 128 patients were enrolled in the study with PFS of 8–96 months. Univariate analysis demonstrated that age, SUVindex (the ratio of SUVmax of lesion to SUVmax of liver), metabolic tumor volume (MTV), Dmax (the largest diameter), GTV, lymph node metastasis (LNM), and TNM staging are significantly related to recurrence (all p<0.05). The multivariate analysis showed that only age, SUVindex, and LNM were independent prognostic factor for PFS (all p < 0.05).ConclusionsAlthough 18F-FDG PET/CT combined with 3D quantitative technique were helpful in predicting PFS in NSCLC, only age, SUVindex, and LNM were independent predictors for PFS. |
| format | Article |
| id | doaj-art-3dd6ed6948034fffb68fefe3d3ce25a8 |
| institution | OA Journals |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-3dd6ed6948034fffb68fefe3d3ce25a82025-08-20T02:08:25ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-04-011510.3389/fonc.2025.15335691533569The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLCYuling SuSiwen QiuJinyu WangObjectiveTo investigate the value of Fluorine-18 Fluorodeoxyglucose (18F-FDG) Positron Emission Tomography/Computed Tomography (PET/CT) combined with 3D quantitative technology and clinicopathological features in predicting the prognosis of non-small cell lung cancer (NSCLC).MethodsA retrospective review was performed for patients who underwent PET/CT and curative resection of NSCLC between January 2016 and June 2019 in our hospital. PET/CT data, clinical features, and pathology results were collected. Gross tumor volume (GTV) was delineated on CT images by ITK-SNAP software. The prognosis was followed up, and the study endpoint was progression-free survival (PFS). Receiver operating characteristic curve (ROC) was used to initially assess the relationship between each parameter and PFS, and parameters were grouped accordingly. Cox proportional hazards regression was used to develop models based on clinicopathological features to predict prognosis of NSCLC patients. Kaplan–Meier method was used to draw the survival curves.ResultsA total of 128 patients were enrolled in the study with PFS of 8–96 months. Univariate analysis demonstrated that age, SUVindex (the ratio of SUVmax of lesion to SUVmax of liver), metabolic tumor volume (MTV), Dmax (the largest diameter), GTV, lymph node metastasis (LNM), and TNM staging are significantly related to recurrence (all p<0.05). The multivariate analysis showed that only age, SUVindex, and LNM were independent prognostic factor for PFS (all p < 0.05).ConclusionsAlthough 18F-FDG PET/CT combined with 3D quantitative technique were helpful in predicting PFS in NSCLC, only age, SUVindex, and LNM were independent predictors for PFS.https://www.frontiersin.org/articles/10.3389/fonc.2025.1533569/fulllung cancerPET/CTprognosis3D quantitative technologyNSCLC |
| spellingShingle | Yuling Su Siwen Qiu Jinyu Wang The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC Frontiers in Oncology lung cancer PET/CT prognosis 3D quantitative technology NSCLC |
| title | The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC |
| title_full | The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC |
| title_fullStr | The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC |
| title_full_unstemmed | The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC |
| title_short | The value of 18F-FDG PET/CT combined with 3D quantitative technology and clinicopathological features in predicting prognosis of NSCLC |
| title_sort | value of 18f fdg pet ct combined with 3d quantitative technology and clinicopathological features in predicting prognosis of nsclc |
| topic | lung cancer PET/CT prognosis 3D quantitative technology NSCLC |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1533569/full |
| work_keys_str_mv | AT yulingsu thevalueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc AT siwenqiu thevalueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc AT jinyuwang thevalueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc AT yulingsu valueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc AT siwenqiu valueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc AT jinyuwang valueof18ffdgpetctcombinedwith3dquantitativetechnologyandclinicopathologicalfeaturesinpredictingprognosisofnsclc |