Academic Journal
Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study
العنوان: | Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study |
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المؤلفون: | Sean Woolen, Apurva Virkud, Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, Paul Swiecicki, Francis Worden, Ashok Srinivasan |
المصدر: | Tomography, Vol 7, Iss 1, Pp 10-19 (2021) |
بيانات النشر: | MDPI AG, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Computer applications to medicine. Medical informatics |
مصطلحات موضوعية: | laryngeal cancer, AT-101, CT perfusion, radiomics, Computer applications to medicine. Medical informatics, R858-859.7 |
الوصف: | (1) Purpose: The objective was to evaluate CT perfusion and radiomic features for prediction of one year disease free survival in laryngeal and hypopharyngeal cancer. (2) Method and Materials: This retrospective study included pre and post therapy CT neck studies in 36 patients with laryngeal/hypopharyngeal cancer. Tumor contouring was performed semi-autonomously by the computer and manually by two radiologists. Twenty-six radiomic features including morphological and gray-level features were extracted by an internally developed and validated computer-aided image analysis system. The five perfusion features analyzed included permeability surface area product (PS), blood flow (flow), blood volume (BV), mean transit time (MTT), and time-to-maximum (Tmax). One year persistent/recurrent disease data were obtained following the final treatment of definitive chemoradiation or after total laryngectomy. We performed a two-loop leave-one-out feature selection and linear discriminant analysis classifier with generation of receiver operating characteristic (ROC) curves and confidence intervals (CI). (3) Results: 10 patients (28%) had recurrence/persistent disease at 1 year. For prediction, the change in blood flow demonstrated a training AUC of 0.68 (CI 0.47–0.85) and testing AUC of 0.66 (CI 0.47–0.85). The best features selected were a combination of perfusion and radiomic features including blood flow and computer-estimated percent volume changes-training AUC of 0.68 (CI 0.5–0.85) and testing AUC of 0.69 (CI 0.5–0.85). The laryngoscopic percent change in volume was a poor predictor with a testing AUC of 0.4 (CI 0.16–0.57). (4) Conclusions: A combination of CT perfusion and radiomic features are potential predictors of one-year disease free survival in laryngeal and hypopharyngeal cancer patients. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2379-139X 2379-1381 |
Relation: | https://www.mdpi.com/2379-139X/7/1/2; https://doaj.org/toc/2379-1381; https://doaj.org/toc/2379-139X |
DOI: | 10.3390/tomography7010002 |
URL الوصول: | https://doaj.org/article/7601386092cd40038b737465884897a8 |
رقم الانضمام: | edsdoj.7601386092cd40038b737465884897a8 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2379139X 23791381 |
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DOI: | 10.3390/tomography7010002 |