2016
DOI: 10.1148/radiol.2015142920
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Stage III Non–Small Cell Lung Cancer: Prognostic Value of FDG PET Quantitative Imaging Features Combined with Clinical Prognostic Factors

Abstract: Purpose:To determine whether quantitative imaging features from pretreatment positron emission tomography (PET) can enhance patient overall survival risk stratification beyond what can be achieved with conventional prognostic factors in patients with stage III non-small cell lung cancer (NSCLC). Materials and Methods:The institutional review board approved this retrospective chart review study and waived the requirement to obtain informed consent. The authors retrospectively identified 195 patients with stage … Show more

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Cited by 71 publications
(69 citation statements)
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“…High SUV peak2mL and Gauss cluster shade Laws are associated with an increased risk of distant metastases 84 .Solidity (which quantifies the dispersion of primary and nodal disease in a local region, with high values corresponding to disease that is compact and in close proximity, and low values corresponding to disease that is dispersed) and primary tumor energy GLCM (higher level for tumors that are more heterogeneous) improve risk stratification compared with a model with conventional prognostic factors alone in stage III NSCLC. Solidity and primary tumor energy GLCM are capable of isolating subgroups of patients who will receive a benefit or detriment from dose escalation (i.e., as disease solidity and primary co-occurrence matrix energy increase, patients receiving higher dose radiation therapy have improved OS and PFS compared with those receiving lower doses) 81, 82 .Adk: adenocarcinoma type; AUC-IVH: area under the curve within the intensity volume histogram; DFS: disease-free survival; DSS: disease-specific survival; GLCM: gray-level co-occurrence matrix; GLRLM: gray-level run-length matrix; GLSZM: gray-level size-zone matrix; Gr: absolute gradient; LPFS: local progression-free survival; MTV: metabolic tumor volume; NGTDM: neighborhood gray-tone difference matrix; NSCLC: non-small cell lung cancer; OS: overall survival; PFS: progression-free survival; Sqc: squamocellular types; SUV: standardized uptake value. …”
Section: Discussionmentioning
confidence: 99%
“…High SUV peak2mL and Gauss cluster shade Laws are associated with an increased risk of distant metastases 84 .Solidity (which quantifies the dispersion of primary and nodal disease in a local region, with high values corresponding to disease that is compact and in close proximity, and low values corresponding to disease that is dispersed) and primary tumor energy GLCM (higher level for tumors that are more heterogeneous) improve risk stratification compared with a model with conventional prognostic factors alone in stage III NSCLC. Solidity and primary tumor energy GLCM are capable of isolating subgroups of patients who will receive a benefit or detriment from dose escalation (i.e., as disease solidity and primary co-occurrence matrix energy increase, patients receiving higher dose radiation therapy have improved OS and PFS compared with those receiving lower doses) 81, 82 .Adk: adenocarcinoma type; AUC-IVH: area under the curve within the intensity volume histogram; DFS: disease-free survival; DSS: disease-specific survival; GLCM: gray-level co-occurrence matrix; GLRLM: gray-level run-length matrix; GLSZM: gray-level size-zone matrix; Gr: absolute gradient; LPFS: local progression-free survival; MTV: metabolic tumor volume; NGTDM: neighborhood gray-tone difference matrix; NSCLC: non-small cell lung cancer; OS: overall survival; PFS: progression-free survival; Sqc: squamocellular types; SUV: standardized uptake value. …”
Section: Discussionmentioning
confidence: 99%
“…The rationale is that, by extracting a large number of putative imaging features, we could obtain a more comprehensive characterization of the underlying tumor phenotypes, which may ultimately correlate with clinical outcomes. This approach has been used to predict overall survival in patients with lung cancer with widely available imaging data such as CT (11,12) or FDG PET (13,14).…”
Section: Discussionmentioning
confidence: 99%
“…A recent single-institution analysis identified several textural features that were associated with OS in a cohort of stage III NSCLC patients who were treated with definitive radiotherapy (28). Strengths of this study include a large sample size and the inclusion of disease volume in survival models as an established prognostic factor.…”
Section: Discussionmentioning
confidence: 99%