| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wan. Efficient Multi-Organ Segmentation from 3D Abdominal CT Images with Lightweight Network and Knowledge Distillation. IEEE transactions on medical imaging. vol PP. 2023-04-08. PMID:37030798. |
accurate segmentation of multiple abdominal organs from computed tomography (ct) images plays an important role in computer-aided diagnosis, treatment planning and follow-up. |
2023-04-08 |
2023-08-14 |
Not clear |
| Jennifer McGarry, Zi Qin Ng, Fintan Ryan, Mary Theophilu. Utility of CT colonography and/or PET-CT preoperatively in obstructing left-sided colorectal cancers - a systematic review. ANZ journal of surgery. 2023-04-07. PMID:37025031. |
ct colonography (ctc) or pet-ct has been used to detect synchronous lesions, which may alter preoperative planning of colonic resection. |
2023-04-07 |
2023-08-14 |
Not clear |
| Runshi Zhang, Junchen Wang, Chenghao Che. Automatic implant shape design for minimally invasive repair of pectus excavatum using deep learning and shape registration. Computers in biology and medicine. vol 158. 2023-04-05. PMID:37019009. |
in this study, a novel three-step end-to-end automatic framework is proposed to determine the implant shape during preoperative planning: (1) the deepest depression point (ddp) in the sagittal plane of the patient's ct volume is automatically determined using sparse r-cnn-r101, and the axial slice containing the point is extracted. |
2023-04-05 |
2023-08-14 |
Not clear |
| Andreas Johan Smolders, Antony John Lomax, Damien Charles Weber, Francesca Albertin. Patient-specific neural networks for contour propagation in online adaptive radiotherapy. Physics in medicine and biology. 2023-04-05. PMID:37019120. |
cnns lack patient-specific details and do not leverage the known contours on the planning ct. |
2023-04-05 |
2023-08-14 |
Not clear |
| Andreas Johan Smolders, Antony John Lomax, Damien Charles Weber, Francesca Albertin. Patient-specific neural networks for contour propagation in online adaptive radiotherapy. Physics in medicine and biology. 2023-04-05. PMID:37019120. |
this works aims to incorporate patient-specific information into cnns to improve their segmentation accuracy.
approach: patient-specific information is incorporated into cnns by retraining them solely on the planning ct. |
2023-04-05 |
2023-08-14 |
Not clear |
| Pengfei Yang, Xin Ge, Tiffany Tsui, Xiaokun Liang, Yaoqin Xie, Zhanli Hu, Tianye Ni. Four-Dimensional Cone Beam CT Imaging Using A Single Routine Scan via Deep Learning. IEEE transactions on medical imaging. vol PP. 2023-04-04. PMID:37015393. |
the msd-gan is trained using simulated cbct datasets from patient planning ct images. |
2023-04-04 |
2023-08-14 |
Not clear |
| Scarlett O'Brien, Nagy Darwis. 3D Visualisation of the Spine. Advances in experimental medicine and biology. vol 1406. 2023-04-04. PMID:37016114. |
firstly, radiological imaging is considered, with plain radiography, ct and mri imaging discussed in detail with relevant applications to spinal surgery.3d printing can be used in spinal surgery with multiple applications including education, pre-operative planning for complex cases and making patient-specific guides and implants. |
2023-04-04 |
2023-08-14 |
Not clear |
| Sendren Sheng-Dong Xu, Tsu-Te Yeh, Jia-En Chen, Yuan-Ta L. Significantly reducing the presurgical preparation time for anterior pelvic fracture surgery by faster creating patient-specific curved plates. Journal of orthopaedic surgery and research. vol 18. issue 1. 2023-04-03. PMID:37005637. |
to shorten the preoperative preparation time, reconstruction plates were designed using the computed tomography (ct)-based three-dimensional (3d) medical imaging surgical planning software ooopds. |
2023-04-03 |
2023-08-14 |
Not clear |
| Elahe Sorooshfard, Marziyeh Tahmasbi, Nahid Chegeni, Mohammad Javad Tahmasebi Birgan. Evaluating the effects of variation in CT scanning parameters on the image quality and Hounsfield units for optimization of dose in radiotherapy treatment planning: A semi-anthropomorphic thorax phantom study. Journal of cancer research and therapeutics. vol 19. issue 2. 2023-04-03. PMID:37006077. |
evaluating the effects of variation in ct scanning parameters on the image quality and hounsfield units for optimization of dose in radiotherapy treatment planning: a semi-anthropomorphic thorax phantom study. |
2023-04-03 |
2023-08-14 |
Not clear |
| Elahe Sorooshfard, Marziyeh Tahmasbi, Nahid Chegeni, Mohammad Javad Tahmasebi Birgan. Evaluating the effects of variation in CT scanning parameters on the image quality and Hounsfield units for optimization of dose in radiotherapy treatment planning: A semi-anthropomorphic thorax phantom study. Journal of cancer research and therapeutics. vol 19. issue 2. 2023-04-03. PMID:37006077. |
the diagnosis accuracy of computed tomography (ct) systems and the reliability of calculated hounsfield units (hus) are critical in tumor detection and cancer patients' treatment planning. |
2023-04-03 |
2023-08-14 |
Not clear |
| Fabian M Troschel, Benjamin O Troschel, Maren Kloss, Amelie S Troschel, Niklas B Pepper, Rainer G Wiewrodt, Walter Stummer, Dorothee Wiewrodt, Hans Theodor Eic. Cervical body composition on radiotherapy planning computed tomography scans predicts overall survival in glioblastoma patients. Clinical and translational radiation oncology. vol 40. 2023-04-03. PMID:37008514. |
harnessing routine radiation planning cranial computed tomography (ct) scans, we assessed cervical body composition measures as novel biomarkers for overall survival (os) in gbm patients. |
2023-04-03 |
2023-08-14 |
Not clear |
| Takahiro Igei, Satoshi Nakasone, Masamichi Onaga, Kotaro Nishid. Secure paediatric pelvic fracture external fixation using an intraoperative support device. BMJ case reports. vol 16. issue 4. 2023-04-03. PMID:37011998. |
a case of pelvic external fixation is described for a paediatric pelvic fracture in this report, in which preoperative planning for half-pin insertion was performed accurately using a preoperative three-dimensional ct based on an intraoperative support device that uses the functional pelvic plane as a reference. |
2023-04-03 |
2023-08-14 |
Not clear |
| René Werner, Juliane Szkitsak, Frederic Madesta, Laura Büttgen, Lukas Wimmert, Thilo Sentker, Rainer Fietkau, Marlen Haderlein, Christoph Bert, Tobias Gauer, Christian Hofman. Clinical application of breathing-adapted 4D CT: image quality comparison to conventional 4D CT. Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]. 2023-03-31. PMID:37000223. |
however, 4d ct data often contain motion artifacts that mitigate treatment planning. |
2023-03-31 |
2023-08-14 |
Not clear |
| Libing Zhu, Yi Du, Yahui Peng, Xincheng Xiang, Xiangang Wan. End-to-End QA with Polymer Gel Dosimeter for Photon Beam Radiation Therapy. Gels (Basel, Switzerland). vol 9. issue 3. 2023-03-28. PMID:36975661. |
the e2e dosimetry was verified by undertaking the whole rt procedure (immobilization, ct simulation, treatment planning, phantom set-up, imaged-guided registration, and beam delivery). |
2023-03-28 |
2023-08-14 |
human |
| Daisuke Kawahara, Nobuki Imano, Riku Nishioka, Yasushi Nagat. Image masking using convolutional networks improves performance classification of radiation pneumonitis for non-small cell lung cancer. Physical and engineering sciences in medicine. 2023-03-28. PMID:36976438. |
this study proposes a prediction model for rp grade ≥ 2 using a convolutional neural network (cnn) model with image cropping. the 3d computed tomography (ct) images cropped in the whole-body, normal lung (nlung), and nlung regions overlapping the region over 20 gy (nlung∩20 gy) used in treatment planning were used as the input data. |
2023-03-28 |
2023-08-14 |
Not clear |
| Karolin J Paprottka, Karina Kupfer, Vivian Schultz, Meinrad Beer, Claus Zimmer, Thomas Baum, Jan S Kirschke, Nico Sollman. Impact of radiation dose reduction and iterative image reconstruction on CT-guided spine biopsies. Scientific reports. vol 13. issue 1. 2023-03-28. PMID:36977710. |
this study aimed to systematically evaluate the impact of dose reduction on image quality and confidence for intervention planning and guidance regarding computed tomography (ct)-based intervertebral disc and vertebral body biopsies. |
2023-03-28 |
2023-08-14 |
Not clear |
| Ruwan Abeywardhana, Alan J Spurway, Mike Sattarivan. Estimation of patient-size dependent imaging dose for stereoscopic/monoscopic real-time kV image guidance in lung and prostate SBRT. Physics in medicine and biology. 2023-03-27. PMID:36972605. |
the computed tomography (ct) images and contours of the planning target volume (ptv) and organs at risk (oars) were exported from the treatment planning system. |
2023-03-27 |
2023-08-14 |
Not clear |
| Cornelius J Bauer, Hendrik Teske, Alexandra Walter, Philipp Hoegen, Sebastian Adeberg, Juergen Debus, Oliver Jaekel, Kristina Gisk. Biofidelic image registration for head and neck region utilizing an in-silico articulated skeleton as a transformation model. Physics in medicine and biology. 2023-03-27. PMID:36972617. |
the realized iterative single-bone optimization process directly triggers posture changes of the articulated skeleton, exchanging the transformation model within the deformable image registration process.
accuracy in terms of target registration errors in the bones is evaluated for 18 vector fields of three patients between each planning ct and six fraction ct scans distributed along the treatment course.
main results: the median of target registration error distribution of the landmark pairs is 1.4 ± 0.3 mm. |
2023-03-27 |
2023-08-14 |
Not clear |
| . Erratum: A comparison study between CNN-based deformed planning CT and CycleGAN-based synthetic CT methods for improving iCBCT image quality. Frontiers in oncology. vol 13. 2023-03-24. PMID:36959813. |
erratum: a comparison study between cnn-based deformed planning ct and cyclegan-based synthetic ct methods for improving icbct image quality. |
2023-03-24 |
2023-08-14 |
Not clear |
| b' Oscar Pastor-Serrano, Steven Habraken, Mischa S Hoogeman, Danny Lathouwers, Dennis R Schaart, Yusuke Nomura, Lei Xing, Zolt\\xc3\\xa1n Perk\\xc3\\xb. A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy. Physics in medicine and biology. 2023-03-23. PMID:36958058.' |
we present a hybrid approach which, based on population data, allows to predict patient-specific inter-fraction variations for an individual patient.
approach: we propose a deep learning probabilistic framework that generates deformation vector fields (dvfs) warping a patient's planning computed tomography (ct) into possible patient-specific anatomies. |
2023-03-23 |
2023-08-14 |
Not clear |