Literature DB >> 30219989

The value of different 18F-FDG PET/CT baseline parameters in risk stratification of stage I surgical NSCLC patients.

Hoda Anwar1, Thomas J Vogl2, Mahasen A Abougabal3, Frank Grünwald4, Peter Kleine5, Sherif Elrefaie3, Nour-Eldin A Nour-Eldin2,6.   

Abstract

OBJECTIVE: Administration of postoperative chemotherapy to patients with completely resected stage I NSCLC is still a matter of debate. The aim of the present study was to evaluate the value of different baseline 18F-FDG PET parameters in identifying surgical stage I NSCLC patients who are at high risk of recurrence, and thus are indicated for further postoperative treatment.
METHODS: This is a retrospective study, which included 49 patients (28 males, 21 females) with the median age of 69 years (range 28-84), who had pathologically proven stage I NSCLC. All patients underwent 18F-FDG PET/CT at baseline followed by complete surgical resection of the tumor (R0). Baseline SUVmax, MTV and TLG were measured. Patients' follow-up records were retrospectively reviewed, and DFS (disease-free survival) was assessed. For each parameter, the most accurate cut-off value for the prediction of recurrence was calculated using the ROC curve analysis and the Youden index. DFS was evaluated for patients above and below the calculated cut-off value using the Kaplan-Meier method and the difference in survival between the two groups was estimated using the log-rank test.
RESULTS: Median observation time of the patients after surgery was 28.7 months (range 3.5-58.8 months). 9 patients developed recurrence. The calculated cut-off values for SUVmax, MTV and TLG were 6, 6.6 and 33.6, respectively. Using these cut-offs, the observed sensitivity for SUVmax, MTV and TLG for prediction of recurrence was 100%, 89% and 89%, respectively, while the observed specificity was 43%, 73% and 65%, respectively. The difference in survival between patients below and above the cut-off value was statistically significant in all three studied parameters. The highest AUC was observed for MTV (AUC = 0.825, p = 0.003), followed by TLG (AUC = 0.789, p = 0.007), and lastly SUVmax (AUC = 0.719, p = 0.041). ROC curve analysis showed that volumetric parameters had better predictive performance than SUVmax as regards recurrence.
CONCLUSION: PET-derived parameters at baseline were predictive of recurrence in stage I surgical NSCLC patients. Moreover, the metabolic volume of the tumor was the most significant parameter for this purpose among the studied indices.

Entities:  

Keywords:  18F-FDG PET/CT; MTV; NSCLC; Recurrence; SUVmax; TLG

Mesh:

Substances:

Year:  2018        PMID: 30219989     DOI: 10.1007/s12149-018-1301-9

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  3 in total

Review 1.  Quantitative imaging biomarkers in nuclear medicine: from SUV to image mining studies. Highlights from annals of nuclear medicine 2018.

Authors:  Martina Sollini; Francesco Bandera; Margarita Kirienko
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-05       Impact factor: 9.236

2.  SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.

Authors:  Germán Andrés Jiménez Londoño; Ana Maria García Vicente; Jesús J Bosque; Mariano Amo-Salas; Julián Pérez-Beteta; Antonio Francisco Honguero-Martinez; Víctor M Pérez-García; Ángel María Soriano Castrejón
Journal:  Eur Radiol       Date:  2022-02-08       Impact factor: 5.315

3.  PD-L1 expression correlation with metabolic parameters of FDG PET/CT and clinicopathological characteristics in non-small cell lung cancer.

Authors:  Xiaodong Wu; Yan Huang; Qingping Zhao; Lei Wang; Xiao Song; Yi Li; Lei Jiang
Journal:  EJNMMI Res       Date:  2020-05-19       Impact factor: 3.138

  3 in total

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