| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| 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.' |
given a new planning ct, dam estimates the joint distribution over the variables, with each sample from the distribution corresponding to a different deformation. |
2023-03-23 |
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.' |
the overlap between distributions further indicates that dam's sampled movements match the range and frequency of clinically observed daily changes on repeat cts.
significance: conditioned only on planning ct values and organ contours of a new patient without any pre-processing, dam can accurately deformations seen during following treatment sessions, enabling anatomically robust treatment planning and robustness evaluation against inter-fraction anatomical changes. |
2023-03-23 |
2023-08-14 |
Not clear |
| Toshio Kumakiri, Shinichiro Mori, Yasukuni Mori, Ryusuke Hirai, Ayato Hashimoto, Yasuhiko Tachibana, Hiroki Suyari, Hitoshi Ishikaw. Real-time deep neural network-based automatic bowel gas segmentation on X-ray images for particle beam treatment. Physical and engineering sciences in medicine. 2023-03-22. PMID:36944832. |
for the training data, we prepared three types of digitally reconstructed radiographic (drr) images (all-density, bone and gas) by projecting the treatment planning ct image data. |
2023-03-22 |
2023-08-14 |
Not clear |
| Silvia Strolin, Miriam Santoro, Giulia Paolani, Ilario Ammendolia, Alessandra Arcelli, Anna Benini, Silvia Bisello, Raffaele Cardano, Letizia Cavallini, Elisa Deraco, Costanza Maria Donati, Erika Galietta, Andrea Galuppi, Alessandra Guido, Martina Ferioli, Viola Laghi, Federica Medici, Maria Ntreta, Natalya Razganiayeva, Giambattista Siepe, Giorgio Tolento, Daria Vallerossa, Alice Zamagni, Alessio Giuseppe Morganti, Lidia Strigar. How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images. Frontiers in oncology. vol 13. 2023-03-20. PMID:36937399. |
testing a ce and fda-approved deep-learning tool using multiple expert contours delineated on planning ct images. |
2023-03-20 |
2023-08-14 |
Not clear |
| Jure Murgić, Marin Gregov, Iva Mrčela, Mirjana Budanec, Marco Krengli, Ana Fröbe, Pierfrancesco Franc. MRI-GUIDED RADIOTHERAPY FOR PROSTATE CANCER: A NEW PARADIGM. Acta clinica Croatica. vol 61. issue Suppl 3. 2023-03-20. PMID:36938552. |
conventional radiotherapy is based on computerized tomography (ct) images both for radiotherapy planning and image-guidance, however, shortcomings of ct as soft tissue imaging tool are well known. |
2023-03-20 |
2023-08-14 |
Not clear |
| Billy I Kim, Caroline P Hudson, Dean C Taylor, Oke A Anakwenze, Jonathan F Dickens, Brian C La. Distal Clavicle Autograft Versus Traditional and Congruent Arc Latarjet Procedures: A Comparison of Surface Area and Glenoid Apposition With 3-Dimensional Computed Tomography and 3-Dimensional Magnetic Resonance Imaging. The American journal of sports medicine. 2023-03-17. PMID:36927084. |
additionally, preoperative planning is typically performed using computed tomography (ct), and few studies have used 3-dimensional (3d) magnetic resonance imaging (mri) reformations to assess graft dimensions. |
2023-03-17 |
2023-08-14 |
Not clear |
| Mohammad A Taalab, Ahmed M Kamal, Ahmed F Mohammad, Mohamed M Zak. Intravascular Ultrasound Versus Computed Tomography Angiography in Sizing and Operative Management of Endovascular Aortic Aneurysm Repair. Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists. 2023-03-17. PMID:36927269. |
classically, contrast-enhanced multislice computed tomography (ct) angiography (cta) is performed preoperatively for procedure sizing and evar planning. |
2023-03-17 |
2023-08-14 |
Not clear |
| Minchang Kim, Minyoung Chung, Yeong-Gil Shin, Bohyoung Ki. Automatic registration of dental CT and 3D scanned model using deep split jaw and surface curvature. Computer methods and programs in biomedicine. vol 233. 2023-03-15. PMID:36921464. |
in dentistry, the registration of computed tomography (ct) volume data and 3d optically scanned models is essential for various clinical applications, including orthognathic surgery, implant surgical planning, and augmented reality. |
2023-03-15 |
2023-08-14 |
Not clear |
| Davide Vignale, Anna Palmisano, Chiara Gnasso, Davide Margonato, Davide Romagnolo, Simone Barbieri, Giacomo Ingallina, Stefano Stella, Marco Bruno Ancona, Matteo Montorfano, Francesco Maisano, Eustachio Agricola, Antonio Esposit. Extracellular volume fraction (ECV) derived from pre-operative computed tomography predicts prognosis in patients undergoing transcatheter aortic valve implantation (TAVI). European heart journal. Cardiovascular Imaging. 2023-03-14. PMID:36916015. |
we aimed to assess the prognostic value of an interstitial fibrosis marker, extracellular volume fraction (ecv), measured at planning computed tomography (ct) before tavi. |
2023-03-14 |
2023-08-14 |
Not clear |
| Na Li, Xuanru Zhou, Shupeng Chen, Jingjing Dai, Tangsheng Wang, Chulong Zhang, Wenfeng He, Yaoqin Xie, Xiaokun Lian. Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT. Frontiers in oncology. vol 13. 2023-03-13. PMID:36910636. |
incorporating the synthetic ct image for improving the performance of deformable image registration between planning ct and cone-beam ct. to develop a contrast learning-based generative (clg) model for the generation of high-quality synthetic computed tomography (sct) from low-quality cone-beam ct (cbct). |
2023-03-13 |
2023-08-14 |
Not clear |