| Title |
Prognostic value of posttreatment 18F-FDG PET/CT and predictors of metabolic response to therapy in patients with locally advanced cervical cancer treated with concomitant chemoradiation therapy: an analysis of intensity- and volume-based PET parameters
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, August 2018
|
| DOI | 10.1007/s00259-018-4077-1 |
| Pubmed ID | |
| Authors |
Giacomo Maria Lima, Antonella Matti, Giulio Vara, Giulia Dondi, Nicoletta Naselli, Eugenia Maria De Crescenzo, Alessio Giuseppe Morganti, Anna Myriam Perrone, Pierandrea De Iaco, Cristina Nanni, Stefano Fanti |
| Abstract |
To investigate the prognostic value of posttreatment 18F-FDG PET/CT in patients with locally advanced cervical cancer (LACC) treated with concomitant chemoradiation therapy (CCRT). The secondary aim was to assess the possible role of intensity-based and volume-based PET parameters including SUVmax, SUVmean, MTV and TLG, and clinical parameters including age, pathology, FIGO stage and nodal involvement as factors predicting response to treatment. This retrospective study included 82 patients affected by LACC treated with CCRT. All patients underwent 18F-FDG PET/CT both before and after treatment. The posttreatment PET/CT scans were used to classify patients as complete metabolic responders (CMR) or non-complete metabolic responders (N-CMR) according to the EORTC criteria. Kaplan-Meier analysis was used to evaluate differences in overall survival (OS) between the CMR and N-CMR groups. Student's t test, Pearson's chi-squared test and logistic regression were used to investigate the possible value of PET and clinical parameters as predictors of metabolic response to therapy. Kaplan-Meier analysis showed a highly significant difference in OS between the CMR and N-CMR groups (log-rank test p < 0.0001). Significant independent predictors of response to therapy were MTV (p = 0.019, odds ratio = 1.015, 95% CI = 1.002-1.028, Nagelkerke R2 = 0.110), TLG (p = 0.045, odds ratio = 1.001, 95% CI = 1.000-1.002, Nagelkerke R2 = 0.081) and nodal involvement (p = 0.088, odds ratio = 2.361, 95% CI = 0.879-6.343, Nagelkerke R2 = 0.051). 18F-FDG PET/CT-based response assessment using the EORTC criteria reliably predicts OS in LACC patients treated with CCRT. In our cohort of patients, pretreatment MTV and TLG and nodal involvement were predictors of response to therapy. MTV was the best predictor of response. However, its additional risk value seems to be low (MTV odds ratio = 1.015). |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 29% |
| Other | 4 | 13% |
| Professor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 48% |
| Chemistry | 2 | 6% |
| Computer Science | 2 | 6% |
| Unspecified | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2018.
All research outputs
#21,153,429
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Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,610
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Outputs of similar age
#290,854
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Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#38
of 49 outputs
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