OC-0071: Analysis and reporting patterns of failure in the era of IMRT: head and neck cancer applications
Year: 2016
Type: conference-abstract
Abstract: these radiation-dependent features could distinguish irradiated tumor better than human eye.Material and Methods: Rhabdomyosarcoma R1 tumors grown on the lateral flank of WAG/Rij rats were irradiated with 12 Gy or 0 Gy (control).Computed tomography (CT) scans were acquired both before and 7 days post RT [2].These data were used as a training dataset to select RT-related features.For validation, radiomics features were extracted from CT images of head and neck squamous cell carcinoma (HNSCC) patients before and post 10 fractions of radiation.A total of 723 features were extracted and the top 100 robust features were selected for further analysis based on inter-class correlation coefficient (ICC) values obtained from test-retest (TRT) scans.Imaging experts and radiation oncologists were consigned to identify irradiated tumors (IR) vs. non-irradiated (Non-IR) tumors blinded for patient information.Area under the curve of the receiver operating characteristics curve (AUC-ROC) was computed for each individual feature identified in the rat and HNSCC datasets as being both stable and significant for distinguishing IR and non-IR tumors.Results: 17 significant differentially expressed features were identified between the two imaging time points after TRT feature selection.8 out of 17 (2 shape and 6 wavelets) significantly (p<0.05)distinguished between pre and post RT scans.AUC-ROC curves demonstrate that out of 8 features, 2 shape and 4 wavelet features had an accuracy of 0.71 and >0.62 respectively in identifying IR tumor from the non-IR ones, whereas imaging experts could only correctly identify 56% (56 ± 5.7) of true cases in rats. 2 (shape) out of 8 features identified in rats also were found to be significantly different between pre and post RT in HNSCC patients (Fig. 1).These two features had an AUC-ROC of 0.85 in identifying a IR tumor while, radiation oncologists were able to solely identify 50% (50 ± 5.6) of true cases in HNSCC patients.Conclusion: RT radiomics features identified in rats and HNSCC patients were able to distinguish irradiated tumors better than human eye.Thus, in future these features might be used for dosimetric measures and might help in segregating effects of RT from combination treatments that enables to understand the effect of drug or RT alone.
Source: Radiotherapy and Oncology
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,770
OpenAlex ID: W2514766391