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Open AccessArticle

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

1
Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
2
Department of Medical Oncology, Michigan Medicine, University of Michigan, Ann Arbor, MI 48109, USA
*
Author to whom correspondence should be addressed.
Tomography 2021, 7(1), 10-19; https://doi.org/10.3390/tomography7010002
Received: 23 November 2020 / Accepted: 11 January 2021 / Published: 5 February 2021
(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. View Full-Text
Keywords: laryngeal cancer; AT-101; CT perfusion; radiomics laryngeal cancer; AT-101; CT perfusion; radiomics
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MDPI and ACS Style

Woolen, S.; Virkud, A.; Hadjiiski, L.; Cha, K.; Chan, H.-P.; Swiecicki, P.; Worden, F.; Srinivasan, A. Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study. Tomography 2021, 7, 10-19. https://doi.org/10.3390/tomography7010002

AMA Style

Woolen S, Virkud A, Hadjiiski L, Cha K, Chan H-P, Swiecicki P, Worden F, Srinivasan A. Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study. Tomography. 2021; 7(1):10-19. https://doi.org/10.3390/tomography7010002

Chicago/Turabian Style

Woolen, Sean; Virkud, Apurva; Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Swiecicki, Paul; Worden, Francis; Srinivasan, Ashok. 2021. "Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study" Tomography 7, no. 1: 10-19. https://doi.org/10.3390/tomography7010002

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