Academic Journal

Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study

التفاصيل البيبلوغرافية
العنوان: Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study
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
الوصف
تدمد:2379139X
23791381
DOI:10.3390/tomography7010002