Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images

Acta Oncol. 2021 Oct 9:1-8. doi: 10.1080/0284186X.2021.1983207. Online ahead of print.ABSTRACTINTRODUCTION: Radiotherapy (RT) for head and neck cancer is now guided by cone-beam computed tomography (CBCT). We aim to identify a CBCT radiomic signature predictive of progression to RT.MATERIAL AND METHODS: A cohort of 93 patients was split into training (n = 60) and testing (n = 33) sets. A total of 88 features were extracted from the gross tumor volume (GTV) on each CBCT. Receiver operating characteristic (ROC) curves were used to determine the power of each feature at each week of treatment to predict progression to radio(chemo)therapy. Only features with AUC> 0.65 at each week were pre-selected. Absolute differences were calculated between features from each weekly CBCT and baseline CBCT1 images. The smallest detectable change (C = 1.96 × SD, SD being the standard deviation of differences between feature values calculated on CBCT1 and CBCTn) with its confidence interval (95% confidence interval [CI]) was determined for each feature. The features for which the change was larger than C for at least 5% of patients were then selected. A radiomics-based model was built at the time-point that showed the highest AUC and compared with models relying on clinical variables.RESULTS: Seven features had an AUC> 0.65 at each week, and six exhibited a change larger than the predefined CI 95%. After exclusion of inter-correlated features, only one parameter remains, Coarseness. A...
Source: Acta Oncologica - Category: Cancer & Oncology Authors: Source Type: research

Related Links:

Conclusions Radiogenomics is a new method for noninvasive acquisition of tumor molecular information at the genetic level.
Source: Journal of Computer Assisted Tomography - Category: Radiology Tags: Neuroimaging: Head and Neck Source Type: research
Acta Oncol. 2021 Oct 9:1-8. doi: 10.1080/0284186X.2021.1983207. Online ahead of print.ABSTRACTINTRODUCTION: Radiotherapy (RT) for head and neck cancer is now guided by cone-beam computed tomography (CBCT). We aim to identify a CBCT radiomic signature predictive of progression to RT.MATERIAL AND METHODS: A cohort of 93 patients was split into training (n = 60) and testing (n = 33) sets. A total of 88 features were extracted from the gross tumor volume (GTV) on each CBCT. Receiver operating characteristic (ROC) curves were used to determine the power of each feature at each week of treatment to predict progression to radio(c...
Source: Acta Oncologica - Category: Cancer & Oncology Authors: Source Type: research
Exp Ther Med. 2021 Sep;22(3):1026. doi: 10.3892/etm.2021.10458. Epub 2021 Jul 16.ABSTRACTNasopharyngeal carcinoma (NPC) is a rare form of malignancy, accounting for 2% of all cancers of the head and neck in Europe. Axillary lymph node metastases are very rare in these cases. This is a case report of a 40-year-old premenopausal woman diagnosed in May 2015 with T1N2M0 stage III NPC, treated with induction chemotherapy, followed by chemo-radiotherapy. Post-therapeutic computed tomography (CT) scan showed partial response (PR) on the primary tumor and complete response (CR) on the latero-cervical lymph nodes. In 2017, our pati...
Source: Experimental and Therapeutic Medicine - Category: General Medicine Authors: Source Type: research
abvash Stefan P. Haider Amit Mahajan Caroline Reinhold Behzad Forghani Brian O’Sullivan Eugene Yu Reza Forghani Current radiomic studies of head and neck squamous cell carcinomas (HNSCC) are typically based on datasets combining tumors from different locations, assuming that the radiomic features are similar based on histopathologic characteristics. However, molecular pathogenesis and treatment in HNSCC substantially vary across different tumor sites. It is not known if a statistical difference exists between radiomic features from different tumor sites and how they affect machine learning model per...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
Dimos Baltas Michael Mix Nils H. Nicolay Tumor hypoxia is associated with radiation resistance and can be longitudinally monitored by 18F-fluoromisonidazole (18F-FMISO)-PET/CT. Our study aimed at evaluating radiomics dynamics of 18F-FMISO-hypoxia imaging during chemo-radiotherapy (CRT) as predictors for treatment outcome in head-and-neck squamous cell carcinoma (HNSCC) patients. We prospectively recruited 35 HNSCC patients undergoing definitive CRT and longitudinal 18F-FMISO-PET/CT scans at weeks 0, 2 and 5 (W0/W2/W5). Patients were classified based on peritherapeutic variations of the hypoxic sub-volume (HSV) size...
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
Conclusions T-cell inflammation status of HNSCC primary tumors can be predicted using radiomic analysis of CT imaging and thereby help identify patients who would respond well to immunotherapy.
Source: Journal of Computer Assisted Tomography - Category: Radiology Tags: Neuroimaging: Head and Neck Source Type: research
Conclusion: A combination of radiomics features with other predictors can predict OS very accurately for advanced HNSCC patients and improves on the current gold standard of TNM8.
Source: Cancers - Category: Cancer & Oncology Authors: Tags: Article Source Type: research
More News: Cancer | Cancer & Oncology | Carcinoma | CT Scan | Head and Neck Cancer | HNSCC | Skin Cancer | Squamous Cell Carcinoma | Training | Universities & Medical Training