Zobrazeno 1 - 10
of 528
pro vyhledávání: '"GTV"'
Autor:
Chavelli M. Kensen, Rita Simões, Anja Betgen, Lisa Wiersema, Doenja M.J. Lambregts, Femke P. Peters, Corrie A.M. Marijnen, Uulke A. van der Heide, Tomas M. Janssen
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 32, Iss , Pp 100648- (2024)
Background and purpose: In online adaptive magnetic resonance image (MRI)-guided radiotherapy (MRIgRT), manual contouring of rectal tumors on daily images is labor-intensive and time-consuming. Automation of this task is complex due to substantial va
Externí odkaz:
https://doaj.org/article/d0e84928864f49dba82a2e7cc5e0c148
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 50, Iss , Pp 100877- (2025)
Purpose: The aim of this study was to quantitatively analyze of the differences in determining the gross tumor volume (GTV) for hepatocellular carcinoma (HCC) radiotherapy using multi-phase contrast-enhanced magnetic resonance imaging (CE-MRI) and pr
Externí odkaz:
https://doaj.org/article/daf32fb92e114375a54c4a17da4bed33
Autor:
Stephen Skett, Tina Patel, Didier Duprez, Sunnia Gupta, Tucker Netherton, Christoph Trauernicht, Sarah Aldridge, David Eaton, Carlos Cardenas, Laurence E. Court, Daniel Smith, Ajay Aggarwal
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100637- (2024)
Background and purpose: In many clinics, positron-emission tomography is unavailable and clinician time extremely limited. Here we describe a deep-learning model for autocontouring gross disease for patients undergoing palliative radiotherapy for pri
Externí odkaz:
https://doaj.org/article/9f6fa066234a4fdfa524b0146dc88885
Autor:
Kim M. Hochreuter, Jintao Ren, Jasper Nijkamp, Stine S. Korreman, Slávka Lukacova, Jesper F. Kallehauge, Anouk K. Trip
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100620- (2024)
Background and purpose: Deep-learning (DL) models for segmentation of the gross tumor volume (GTV) in radiotherapy are generally based on clinical delineations which suffer from inter-observer variability. The aim of this study was to compare perform
Externí odkaz:
https://doaj.org/article/43fc82f10d074bdbaa96750e99993759
Publikováno v:
IEEE Access, Vol 12, Pp 65928-65941 (2024)
Water quality predictions have a great importance in water resource managements and water pollution protections. Most the currently used water quality models can only predict time sequence of fixed length and ignore the real hydrological flow informa
Externí odkaz:
https://doaj.org/article/fb7e5bcf055e450b9772696c76a52108
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Hepatocellular Carcinoma (HCC) is one of the most common malignant neoplasms. With the advancement of technology, the precision of radiotherapy (RT) for HCC has considerably increased, and it is an indispensable modality in the comprehensive manageme
Externí odkaz:
https://doaj.org/article/5f7759b9c9824e3cb5cbb0a0fc85a69a
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Brain metastases (BMs) are the most prevalent intracranial malignant tumors in adults and are the leading cause of mortality attributed to malignant brain diseases. Radiotherapy (RT) plays a critical role in the treatment of BMs, with local RT techni
Externí odkaz:
https://doaj.org/article/bb197500382d4e94916689ed0c32edbb
Autor:
Julia E. Peltenburg, Ali Hosni, Rana Bahij, Simon Boeke, Pètra M. Braam, William A. Hall, Martijn P.W. Intven, Luca Nicosia, Jan-Jakob Sonke, Marnix Witte, Marlies E. Nowee, Tomas Janssen
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 30, Iss , Pp 100592- (2024)
Background and purpose: Magnetic Resonance Imaging (MRI) guided stereotactic body radiotherapy (SBRT) of liver metastases is an upcoming high-precision non-invasive treatment. Interobserver variation (IOV) in tumor delineation, however, remains a rel
Externí odkaz:
https://doaj.org/article/c1940435d4e04f8cbbf3eb7bef74c72d
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract Background The precise prediction of epidermal growth factor receptor (EGFR) mutation status and gross tumor volume (GTV) segmentation are crucial goals in computer-aided lung adenocarcinoma brain metastasis diagnosis. However, these two tas
Externí odkaz:
https://doaj.org/article/e322100948be4cca8c1b4d9b5880a087
Autor:
Jianhao Geng, Xianggao Zhu, Zhiyan Liu, Qi Chen, Lu Bai, Shaobin Wang, Yongheng Li, Hao Wu, Haizhen Yue, Yi Du
Publikováno v:
Radiation Oncology, Vol 18, Iss 1, Pp 1-10 (2023)
Abstract Purpose Manual clinical target volume (CTV) and gross tumor volume (GTV) delineation for rectal cancer neoadjuvant radiotherapy is pivotal but labor-intensive. This study aims to propose a deep learning (DL)-based workflow towards fully auto
Externí odkaz:
https://doaj.org/article/1fdea77c5e1e42b18fec2796ce44d3d5