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Molecular Imaging and Biology

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22.01.2019 | Research Article

Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma

verfasst von: Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu

Erschienen in: Molecular Imaging and Biology | Ausgabe 5/2019

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Abstract

Purpose

To investigate the prognostic performance of radiomics features, as extracted from positron emission tomography (PET) and X-ray computed tomography (CT) components of baseline 2-deoxy-2-[¹⁸F]fluoro-D-glucose ([¹⁸F]FDG) PET/CT images and integrated with clinical parameters, in patients with nasopharyngeal carcinoma (NPC).

Procedures

One hundred twenty-eight NPC patients (85 vs. 43 for training vs. validation), containing a subset of 86 patients with local-regional advanced stage, were enrolled. All patients underwent pretreatment PET/CT scans (mean follow-up time 24 ± 14 months). Three thousand two hundred seventy-six radiomics features extracted from PET or CT components and 13 clinical parameters were used to predict progression-free survival (PFS). Univariate analysis with Benjamini–Hochberg false discovery rate (FDR) correction was first used to screen significant features, and redundant features with Spearman’s correlation > 0.8 were further eliminated. Then, seven multivariate models involving PET features and/or CT features and/or clinical parameters (denoted as clinical, PET, CT, clinical + PET, clinical + CT, PET + CT and clinical + PET + CT) were constructed by forward stepwise multivariate Cox regression. Model performance was evaluated by concordance index (C-index).

Results

Sixty patients encountered events (28 recurrences, 17 metastases, and 15 deaths). Six clinical parameters, 3 PET features, and 14 CT features in training cohort and 4 clinical parameters, 10 PET features, and 4 CT features in subset of local-regional advanced stage were significantly associated with PFS. Combining PET and/or CT features with clinical parameters showed equal or higher prognostic performance than models with PET or CT or clinical parameters alone (C-index 0.71–0.76 vs. 0.67–0.73 and 0.62–0.75 vs. 0.54–0.75 for training and validation cohorts, respectively), while the prognostic performance was significantly improved in local-regional advanced cohort (C-index 0.67–0.84 vs. 0.64–0.77, p value 0.001–0.059).

Conclusion

Radiomics features extracted from the PET and CT components of baseline PET/CT images provide complementary prognostic information and improved outcome prediction for NPC patients compared with use of clinical parameters alone.

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Titel: Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma
verfasst von: Wenbing Lv
Qingyu Yuan
Quanshi Wang
Jianhua Ma
Qianjin Feng
Wufan Chen
Arman Rahmim
Lijun Lu
Publikationsdatum: 22.01.2019
Verlag: Springer International Publishing
Erschienen in: Molecular Imaging and Biology / Ausgabe 5/2019
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI: https://doi.org/10.1007/s11307-018-01304-3

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Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma