Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network

Autor: Nicolette Taku, Kareem A. Wahid, Lisanne V. van Dijk, Jaakko Sahlsten, Joel Jaskari, Kimmo Kaski, Clifton D. Fuller, Mohamed A. Naser

Publikováno v: Clinical and Translational Radiation Oncology, Vol 36, Iss , Pp 47-55 (2022)

Purpose: Segmentation of involved lymph nodes on head and neck computed tomography (HN-CT) scans is necessary for the radiotherapy planning of early-stage human papilloma virus (HPV) associated oropharynx cancers (OPC). We aimed to train a deep learn

Externí odkaz: https://doaj.org/article/acef4a8ea97a4eaea5d9d9663a1f7715

Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry

Autor: Kareem A. Wahid, Sara Ahmed, Renjie He, Lisanne V. van Dijk, Jonas Teuwen, Brigid A. McDonald, Vivian Salama, Abdallah S.R. Mohamed, Travis Salzillo, Cem Dede, Nicolette Taku, Stephen Y. Lai, Clifton D. Fuller, Mohamed A. Naser

Publikováno v: Clinical and Translational Radiation Oncology, Vol 32, Iss , Pp 6-14 (2022)

Background/Purpose: Oropharyngeal cancer (OPC) primary gross tumor volume (GTVp) segmentation is crucial for radiotherapy. Multiparametric MRI (mpMRI) is increasingly used for OPC adaptive radiotherapy but relies on manual segmentation. Therefore, we

Externí odkaz: https://doaj.org/article/ddd64c41230343b4b61f9c1202cfe2cf

Unilateral Radiation Therapy for Tonsillar Cancer: Treatment Outcomes in the Era of Human Papillomavirus, Positron-Emission Tomography, and Intensity Modulated Radiation Therapy

Autor: Nicolette Taku, Gregory Chronowski, G. Brandon Gunn, William H. Morrison, Neil D. Gross, Amy C. Moreno, Renata Ferrarotto, Steven J. Frank, C. David Fuller, Ryan P. Goepfert, Jack Phan, Stephen Y. Lai, Jay P. Reddy, David I. Rosenthal, Adam S. Garden

Publikováno v: International Journal of Radiation Oncology*Biology*Physics. 113:1054-1062

The goal of this study was to evaluate disease, survival, and toxic effects after unilateral radiation therapy treatment for tonsillar cancer.A retrospective study was performed of patients treated at our institution within the period from 2000 to 20

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e232d813277838a935f65633eba0b3a
https://doi.org/10.1016/j.ijrobp.2022.04.035

Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer

Autor: Laurence E. Court, Guillaume Cazoulat, M. Gobeli, Nicolette Taku, Dong Joo Rhee, Ann H. Klopp, Stina Svensson, Christopher Ward, Christine B. Peterson, Brian M. Anderson, Aradhana M. Venkatesan, B. Rigaud, Jonas Söderberg, Carlos E. Cardenas, Kristy K. Brock, Fredrik Löfman, Z Yu, David Lidberg, Elin Samuelsson

Publikováno v: International Journal of Radiation Oncology*Biology*Physics. 109:1096-1110

Purpose This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need for internal target volume expansions and thereby reducing toxicity events o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4583ed41289d5e4b0dcd3b0fc73a76e
https://doi.org/10.1016/j.ijrobp.2020.10.038

Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective imaging registry

Autor: Vivian Salama, Jonas Teuwen, Abdallah S.R. Mohamed, Sara Ahmed, Mohamed A. Naser, Kareem Wahid, Stephen Y. Lai, Nicolette Taku, Clifton D. Fuller, Lisanne V. van Dijk, Renjie He, Brigid A. McDonald, Cem Dede, Travis C. Salzillo

Publikováno v: Clinical and Translational Radiation Oncology, Vol 32, Iss, Pp 6-14 (2022)
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, 32, pp. 6-14
Clinical and Translational Radiation Oncology, 32, 6-14
Clinical and Translational Radiation Oncology, 32, 6-14. Elsevier

Highlights • mpMRI coupled to deep learning can generate reasonable OPC tumor segmentations. • Using multiple input channels may positively impact segmentation performance. • Deep learning segmentations were non-inferior to ground truth as per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4918c89373d4754d46ec1322687e63a
https://doi.org/10.1016/j.ctro.2021.10.003