Prognostic Impact of Intratumoral Heterogeneity Based on Fractal Geometry Analysis in Operated NSCLC Patients
- PMID: 30478506
- DOI: 10.1007/s11307-018-1299-3
Prognostic Impact of Intratumoral Heterogeneity Based on Fractal Geometry Analysis in Operated NSCLC Patients
Abstract
Purpose: To determine the heterogeneity of glucose uptake applying fractal analysis on positron emission tomography/computed tomography (PET/CT) with 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) images in patients with non-small cell lung carcinoma (NSCLC) before surgery, and to assess whether this heterogeneity was associated with disease-free survival (DFS).
Procedures: [18F]FDG PET/CT scans of 113 patients' prior surgery were retrospectively revised. PET DICOM images were analyzed for fractal geometry using a ad hoc software to automatically determine the following indexes: (a) mean intensity value (MIV), (b) standard deviation (SD), (c) relative dispersion (RD), (d) three-dimensional (3D) histogram of the fractal dimension (3D HIST FR DIM), and (e) fractal dimension in 3D (3D-FD). All the fractal indexes were subsequently compared with metabolic parameters and disease-free survival (DFS).
Results: We found a significant correlation between 3D-FD and SUVmax, SUVmean, MTV, and TLG. Additionally, positive correlations between MIV, SD, and all metabolic parameters were also detected. Patients with high 3D-FD tumor (≥ 1.62) showed significantly higher values of SUVmax, SUVmean, MTV, and TLG than those with lower 3D-FD. In univariate analysis, median 3D-FD and median TLG were significantly associated with DFS (p = 0.04 and p = 0.03, respectively). These findings were confirmed on log-rank test. On multivariate analysis, among age, stage disease, histotype, 3D-FD, and metabolic parameters, only 3D-FD was identified as independent prognostic factor for DFS (p = 0.032; HR 0.418, 95 % CI 0.189-0.926). 3D-FD was different between adenocarcinoma and squamous cell carcinoma (1.60 versus 1.88, p = 0.014), and 3D-FD value was found higher in advanced stage disease.
Conclusions: Metabolic heterogeneity determined applying fractal principles on PET images can be considered as a novel imaging biomarker for survival in patients with NSCLC.
Keywords: Disease-free survival; Fractals; Geometry; Heterogeneity; NSCLC; [18F]FDG PET/CT.
Similar articles
-
Heterogeneity of Glucose Metabolism in Esophageal Cancer Measured by Fractal Analysis of Fluorodeoxyglucose Positron Emission Tomography Image: Correlation between Metabolic Heterogeneity and Survival.Dig Surg. 2017;34(3):186-191. doi: 10.1159/000447751. Epub 2016 Dec 9. Dig Surg. 2017. PMID: 27931038
-
A Pilot Study of Texture Analysis of Primary Tumor [18F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer.Mol Imaging Biol. 2019 Aug;21(4):771-780. doi: 10.1007/s11307-018-1290-z. Mol Imaging Biol. 2019. PMID: 30397859
-
The value of different 18F-FDG PET/CT baseline parameters in risk stratification of stage I surgical NSCLC patients.Ann Nucl Med. 2018 Dec;32(10):687-694. doi: 10.1007/s12149-018-1301-9. Epub 2018 Sep 15. Ann Nucl Med. 2018. PMID: 30219989
-
Prognostic Value of 18F-FDG PET/CT in Surgical Non-Small Cell Lung Cancer: A Meta-Analysis.PLoS One. 2016 Jan 4;11(1):e0146195. doi: 10.1371/journal.pone.0146195. eCollection 2016. PLoS One. 2016. PMID: 26727114 Free PMC article. Review.
-
Fractal dimension of chromatin: potential molecular diagnostic applications for cancer prognosis.Expert Rev Mol Diagn. 2013 Sep;13(7):719-35. doi: 10.1586/14737159.2013.828889. Expert Rev Mol Diagn. 2013. PMID: 24063399 Free PMC article. Review.
Cited by
-
Stage-Specific PET Radiomic Prediction Model for the Histological Subtype Classification of Non-Small-Cell Lung Cancer.Cancer Manag Res. 2021 Jan 12;13:307-317. doi: 10.2147/CMAR.S287128. eCollection 2021. Cancer Manag Res. 2021. PMID: 33469373 Free PMC article.
-
Additional value of volumetric and texture analysis on FDG PET assessment in paediatric Hodgkin lymphoma: an Italian multicentric study protocol.BMJ Open. 2021 Mar 29;11(3):e041252. doi: 10.1136/bmjopen-2020-041252. BMJ Open. 2021. PMID: 33782017 Free PMC article.
-
Influence of Biopsy Technique on Molecular Genetic Tumor Characterization in Non-Small Cell Lung Cancer-The Prospective, Randomized, Single-Blinded, Multicenter PROFILER Study Protocol.Diagnostics (Basel). 2020 Jul 6;10(7):459. doi: 10.3390/diagnostics10070459. Diagnostics (Basel). 2020. PMID: 32640669 Free PMC article.
-
An integrated strategy based on radiomics and quantum machine learning: diagnosis and clinical interpretation of pulmonary ground-glass nodules.BMC Med Imaging. 2025 Jul 11;25(1):279. doi: 10.1186/s12880-025-01813-y. BMC Med Imaging. 2025. PMID: 40646489 Free PMC article.
-
Prediction of 5-year progression-free survival in advanced nasopharyngeal carcinoma with pretreatment PET/CT using multi-modality deep learning-based radiomics.Front Oncol. 2022 Jul 29;12:899351. doi: 10.3389/fonc.2022.899351. eCollection 2022. Front Oncol. 2022. PMID: 35965589 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous