Loading...
Please wait, while we are loading the content...
Quantitative imaging outperforms molecular markers when predicting response to chemoradiotherapy for rectal cancer
| Content Provider | Scilit |
|---|---|
| Author | D'Hoore, André Joye, Ines Debucquoy, Annelies Deroose, Christophe M. Vandecaveye, Vincent Cutsem, Eric Van Wolthuis, Albert Sagaert, Xavier Zhou, Mu Gevaert, Olivier Haustermans, Karin |
| Copyright Year | 2017 |
| Description | Journal: Radiotherapy and Oncology Background and purpose To explore the integration of imaging and molecular data for response prediction to chemoradiotherapy (CRT) for rectal cancer. Material and methods Eighty-five rectal cancer patients underwent preoperative CRT.$ ^{18}$F-FDG PET/CT and diffusion-weighted imaging (DWI) were acquired before (TP1) and during CRT (TP2) and prior to surgery (TP3). Inflammatory cytokines and gene expression were analysed. Tumour response was defined as ypT0-1N0. Multivariate models were built combining the obtained parameters. Final models were calculated on the data combination with the highest AUC. Results Twenty-two patients (26%) achieved ypT0-1N0 response.$ ^{18}$F-FDG PET/CT had worse predictive performance than DWI and T2-volumetry (AUC 0.61±0.04, 0.72±0.03, and 0.72±0.02, respectively). Combining all imaging parameters increased the AUC to 0.81±0.03. Adding cytokines or gene expression did not improve the AUC (AUC of 0.72±0.06 and 0.79±0.04 respectively). Final models combining$ ^{18}$F-FDG PET/CT, DWI, and T2-weighted volumetry at all TPs and using only TP1 and TP3, allowed ypT0-1N0 prediction with a 75% sensitivity, 94% specificity and PPV of 80%. Conclusions Combining$ ^{18}$F-FDG PET/CT, DWI, and T2-weighted MRI volumetry obtained before CRT and prior to surgery may help physicians in selecting rectal cancer patients for organ-preservation. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641595/pdf http://www.thegreenjournal.com/article/S0167814017304139/pdf |
| Ending Page | 109 |
| Page Count | 6 |
| Starting Page | 104 |
| ISSN | 01678140 |
| e-ISSN | 18790887 |
| DOI | 10.1016/j.radonc.2017.06.013 |
| Journal | Radiotherapy and Oncology |
| Issue Number | 1 |
| Volume Number | 124 |
| Language | English |
| Publisher | Elsevier BV |
| Publisher Date | 2017-06-21 |
| Access Restriction | Open |
| Subject Keyword | Journal: Radiotherapy and Oncology Gastroenterology and Hepatology Chemoradiotherapy Response Prediction Molecular Markers |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Hematology Oncology |
