| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| L Lin, Z Wei, L C Jia, C Guo, G Q Zhou, Y X Yang, S M He, W Zhang, Y Su. Automated Contouring of Cervical Lymph Nodes and Clinical Target Volumes for Nasopharyngeal Carcinoma Based on Deep Learning and Experience Constraints. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785805. |
in this work, we proposed an ai automated contouring tool for gtvn and ctvs for radiotherapy of npc on the plain scans of planning compute tomography (ct). |
2023-10-03 |
2023-10-07 |
Not clear |
| Y Peng, S Chen, Y Liu, L Zhao, P Liu, Q An, C Zhao, X Deng, R L Deraniyagala, C W Stevens, X Din. Mitigation of Dosimetric Uncertainty in MRI-Based Proton Planning Using Spot-Scanning Proton Arc (SPArc) Technique. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785844. |
mri-based synthetic ct (sct) images created using generative adversarial network (gan) have been demonstrated to be feasible for intensity-modulated proton therapy (impt) planning. |
2023-10-03 |
2023-10-07 |
Not clear |
| M Benayu. Dosimetry Validation of MR-Only Treatment Planning Based upon the Synthetic MRCAT Pelvis with Continuous Hounsfield Units in Prostate Cancer. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785916. |
mr-based radiotherapy delivery systems are increasingly encouraging treatment planning based upon an ai generated synthetic ct created from an mr image. |
2023-10-03 |
2023-10-07 |
Not clear |
| C R Buckey, M Armstrong, S Chitsazzadeh, D Hobbis, E L Clouser, S H Patel, J Smetanick, J Pettit, Y Ron. A Free, Open-Source Toolkit to Produce 3D Bolus in the Clinic. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785922. |
these materials can be applied at the time of simulation and included in a planning ct scan, or can be added during the planning process and first physically applied at the time of treatment. |
2023-10-03 |
2023-10-07 |
Not clear |
| S Chen, S Shen, E A Simiele, Z Iqbal, D N Stanley, X Wu, J Peacock, M B Yusuf, S Marcrom, C Cardena. Artificial Intelligence-Assisted Automated Applicator Digitization for Fully-Automated Gynecological High-Dose Rate Brachytherapy Treatment Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785937. |
to automate the digitization of plastic and titanium applicators used in interstitial and hybrid gynecological (gyn) computed tomography (ct)-based high-dose-rate (hdr) brachytherapy procedures to accelerate the planning and reduce the potential for planning errors. |
2023-10-03 |
2023-10-07 |
Not clear |
| Z Hu, R Yin, C Sun, Q Li, Y Che. A Comparison of Two Plan Optimization Methods in Three-Dimensional Brachytherapy for Cervical Cancer. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785940. |
to compare dose distributions created by using two inverse planning simulated annealing (ipsa) and hybrid inverse planning optimization (hipo) in three-dimensional (with ct image guidance) brachytherapy planning for cervical cancer. |
2023-10-03 |
2023-10-07 |
Not clear |
| C Choi, N P Mankuzhy, J Jiang, S Elguindi, M Thor, A Rimner, H Veeraraghava. Clinical Feasibility of Deep Learning-Based CT during Treatment CBCT Tumor Registration-Segmentation in Thoracic Radiotherapy (RT). International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785946. |
in thoracic rt, low image contrast, imaging artifact, and geometry and image modality differences from the planning ct (pct) typically limits accurate tumor segmentation and registration. |
2023-10-03 |
2023-10-07 |
Not clear |
| C Choi, M Thor, J Jiang, A Rimner, H Veeraraghava. Determining the Dosimetric Accuracy of Deep Learning-Based Fully Automated Registration-Segmentation Approach for Thoracic Cancer Organs-at-Risk Contouring. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785947. |
for adaptive radiation therapy (art), the contours on the planning ct (pct) are frequently propagated to cone-beam ct (cbct) via deformable image registration and manually edited, which is observer-dependent and time-consuming. |
2023-10-03 |
2023-10-07 |
Not clear |
| C Han, C Wong, O M Oderinde, W T Watkins, K Qing, B Liu, T M Williams, A Li. Comparison of AI-Based Auto-Segmentation Quality with Different Daily IGRT Imaging Modalities for Adaptive Radiotherapy Treatment Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785979. |
modern ai-based auto-segmentation tools may be applied on daily computed tomography (ct) images in an image-guided radiotherapy course to facilitate evaluation of anatomical variations and adaptive treatment planning. |
2023-10-03 |
2023-10-07 |
Not clear |
| C Han, C Wong, O M Oderinde, W T Watkins, K Qing, B Liu, T M Williams, A Li. Comparison of AI-Based Auto-Segmentation Quality with Different Daily IGRT Imaging Modalities for Adaptive Radiotherapy Treatment Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37785979. |
however, most ai auto-segmentation models are trained with high-quality diagnostic or planning ct image data. |
2023-10-03 |
2023-10-07 |
Not clear |
| H Veeraraghavan, J Jiang, J Jee, E S Lebow, J O Deasy, A Rimner, N Shaverdian, H Yu, D R Gome. AI Serial Image Prediction of Progression-Free Survival (PFS) for Locally Advanced Non-Small Cell Lung Cancer (LA-NSCLC) Patients Treated with Chemoradiation (CRT) and Durvalumab Consolidation. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786001. |
hence, we developed a serial image ai model using paired planning ct (pct) and first week cone-beam ct (cbct) to predict pfs and measured ai model fairness defined as the bias in the classification with respect to gender as a protected attribute. |
2023-10-03 |
2023-10-07 |
Not clear |
| X Li, F Y Lin, L C Jia, T Liu, S M He, W Zhang, M Zhang, Y Wan. Preserving Structural Consistency in the Generation of Synthetic CT in Pelvic MR-Only Radiation Treatment Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786017. |
preserving structural consistency in the generation of synthetic ct in pelvic mr-only radiation treatment planning. |
2023-10-03 |
2023-10-07 |
Not clear |
| E Nguyen, R Bennett, C MacDonald, A Wang, W Li. High Resolution Imaging with Focused kV X-Rays for Small Animal Radio-Neuromodulation. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786029. |
such application also requires high resolution ct images for treatment planning and setup, which was hard to achieve using conventional x-ray tube. |
2023-10-03 |
2023-10-07 |
Not clear |
| S Lu, J Wang, W Hu, Z Zhu, Y Chen, X Yan. Deep Learning-Based Esophageal Tumor Identification on CT Slice. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786030. |
the study aims to use deep learning to improve the accuracy of identifying esophageal tumors on ct slices for radiotherapy planning. |
2023-10-03 |
2023-10-07 |
Not clear |
| G Razinskas, R Schindhelm, J Tamihardja, L C Bohorquez, S Wegene. Feasibility of EPID Based In Vivo Dosimetry for On-Couch Adaptive Radiotherapy. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786083. |
for this purpose, dose optimization and computation are performed on a synthetic ct (sct), i.e., a density map of the planning ct deformably registered onto the acquired cbct. |
2023-10-03 |
2023-10-07 |
Not clear |
| Y Tong, J K Udupa, D Odhner, T Liu, C Jin, N K Taunk, V Pigrish, S Owens, J Camaratta, M Svatos, D A Torigia. A Hybrid Intelligence (HI) System for Segmenting Rectoprostatic Spacer Gel and Key OARs on CT Images for Prostate Cancer Radiation Therapy Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786116. |
a hybrid intelligence (hi) system for segmenting rectoprostatic spacer gel and key oars on ct images for prostate cancer radiation therapy planning. |
2023-10-03 |
2023-10-07 |
Not clear |
| Y Tong, J K Udupa, D Odhner, T Liu, C Jin, N K Taunk, V Pigrish, S Owens, J Camaratta, M Svatos, D A Torigia. A Hybrid Intelligence (HI) System for Segmenting Rectoprostatic Spacer Gel and Key OARs on CT Images for Prostate Cancer Radiation Therapy Planning. International journal of radiation oncology, biology, physics. vol 117. issue 2S. 2023-10-03. PMID:37786116. |
the purpose of this study is to test the hi system to segment a commercially available retroprostatic hyaluronic acid spacer gel (rsg) and pelvic oars in planning ct images for prostate cancer rt. |
2023-10-03 |
2023-10-07 |
Not clear |
| Stefanie Glowinsky, Hagai Bergman, Omer Zarchi, Shlomo Fireman, Johnathan Reiner, Idit Tami. Electrophysiology-aided DBS targeting the ventral intermediate nucleus in an essential tremor patient with MRI-incompatible lead: A case report. Physiological reports. vol 11. issue 19. 2023-10-03. PMID:37786936. |
our results show that ct-only registration and planning for thalamic vim dbs is feasible, and that mers and intraoperative ct are useful adjuncts for vim target validation. |
2023-10-03 |
2023-10-07 |
Not clear |
| Firass Ghareeb, Djamal Boukerroui, Joep Stroom, Edward Jackson, Mariana Pereira, Mark Gooding, Carlo Grec. An approach to generate synthetic 4DCT datasets to benchmark Mid-Position implementations. Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). vol 114. 2023-10-01. PMID:37778207. |
the mid-position image is constructed from 4dct data using deformable image registration and can be used as planning ct with reduced ptv volumes. |
2023-10-01 |
2023-10-07 |
Not clear |
| Matteo Romagnoli, Marco Zaffagnini, Eleonora Carillo, Federico Raggi, Marco Casali, Alberto Leardini, Giulio Maria Marcheggiani Muccioli, Alberto Grassi, Stefano Zaffagnin. Custom-made implants for massive acetabular bone loss: accuracy with CT assessment. Journal of orthopaedic surgery and research. vol 18. issue 1. 2023-09-30. PMID:37777776. |
the aim of this study was to assess the accuracy of custom-made acetabular implants between preoperative planning and postoperative positioning using ct scans. |
2023-09-30 |
2023-10-07 |
Not clear |