Research Papers:

Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study

Bluthgen Maria Virginia, Faivre Laura, Rosellini Silvia, Ferrara Roberto, Facchinetti Francesco, Haspinger Eva, Ferte Charles, Ammari Samy, Michiels Stefan, Soria Jean-Charles, Caramella Caroline and Besse Benjamin _

PDF  |  HTML  |  How to cite

Oncotarget. 2018; 9:1906-1914. https://doi.org/10.18632/oncotarget.22316

Metrics: PDF 1397 views  |   HTML 2863 views  |   ?  


Bluthgen Maria Virginia1, Faivre Laura2, Rosellini Silvia2, Ferrara Roberto1, Facchinetti Francesco1, Haspinger Eva1, Ferte Charles1, Ammari Samy3, Michiels Stefan2,4,5, Soria Jean-Charles1,5, Caramella Caroline3,5,* and Besse Benjamin1,5,*

1Department of Cancer Medicine, Gustave Roussy Cancer Center, 94805 Villejuif, France

2Department of Biostatistics and Epidemiology, Gustave Roussy Cancer Center, 94805 Villejuif, France

3Department of Radiology, Gustave Roussy Cancer Center, 94805 Villejuif, France

4INSERM U1018, CESP, Université Paris-Sud, Université Paris-Saclay, Villejuif, France

5Université Paris-Sud, 91400 Orsay, France

*These authors have contributed equally to this work

Correspondence to:

Besse Benjamin, email: [email protected]

Keywords: non-small cell lung cancer; advance; histogram analysis; texture; prognosis

Received: August 02, 2016    Accepted: June 02, 2017    Published: November 06, 2017


Introduction: Quantitative assessment of heterogeneity by histogram analysis (HA) of tumor images can potentially provide a non-invasive prognostic biomarker. We assessed the prognostic value of HA and evaluated a correlation with molecular signature.

Results: CT scans performed between July 2009 and January 2015 from 692 patients were reviewed. HA was performed on scans from 313 patients in the training dataset and 108 in the validation dataset. Median follow-up were 33.7 months [range: 1.7 - 65.5] and 29 months [range: 1.1 - 35.6] with a median overall survival (OS) of 11.7 months [95%CI: 10.7 - 13.1] and 9.5 months [95%CI: 7.9 - 12.7] respectively. Primary mass entropy in coarse texture with spatial filter 3.3 was prognostic for OS in a multivariate Cox analysis (HR: 1.3 [95%CI: 1.1 - 1.5], p=0.001). Results were not reproduced in our validation set and no correlation with molecular signature was identified.

Materials and Methods: HA using filtration-histogram method was applied to the region of interest on the primary tumor in enhanced-CT acquired as diagnostic/staging routine, from a cohort of patients with advanced non-small cell lung cancer (NSCLC) treated with platinum-based chemotherapy. The resultants parameters were prospectively applied to a validation dataset. CT scans, clinical and molecular data were retrospectively collected. Cox proportional hazard models were used for survival analysis and Wilcoxon test for correlations.

Conclusion: Primary mass entropy was significantly associated with survival in the training set but was not validated in the validation cohort, raising doubt over the reliability of published data from small cohorts.

Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 22316