Results 201 to 210 of about 57,496 (297)

Precision mapping of mandibular canal dimensions: cone beam computed tomography insights. [PDF]

PeerJ
Elboraey MO, Essa EESF, Fayad MI, Alolayan AB, Kabli AM, Alqhtani A, Elhelbawy NG, Ibrahim TM.   +7 more
europepmc   +1 more source

Radiation Dose Optimisation Through Artificial Intelligence (AI)‐based Auto‐Thorax Collimation

Journal of Medical Radiation Sciences, EarlyView.
This study evaluated AI‐based Auto‐Thorax Collimation (ATC) for radiation dose optimisation in posteroanterior chest radiography compared with manual collimation. ATC demonstrated tighter lateral collimation and reduced inter‐operator variability while maintaining comparable repeat rates.
Derek (Yoon‐Sang) Lee, Nicole Chan, Richard Knight, Christopher Hayre   +3 more
wiley   +1 more source

Feasibility of Artificial Intelligence-Processed Low-Dose Cone-Beam Computed Tomography in Dental Imaging. [PDF]

Bioengineering (Basel)
Park TY, Lee SE, Park SY, On SW, Yi SM, Yang BE, Byun SH.   +6 more
europepmc   +1 more source

Intrafraction motion and impact of margin reduction for MR‐Linac online adaptive radiotherapy for pancreatic cancer treatments

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 17-24, March 2025.
This analysis included quantification of intrafraction motion in pancreas stereotactic ablative radiotherapy treated on the MR‐Linac, leading to the development of adjusted (PTV) margins. Intrafraction motion indicated an average target displacement of 1–3 mm, resulting in an adjusted PTV margin of 2 mm in the right–left and superior–inferior ...
Ashleigh Fasala, Madeline Carr, Yolanda Surjan, Parmoun Daghigh, Jeremy de Leon, Abbey Burns, Vikneswary Batumalai   +6 more
wiley   +1 more source

Evaluation of the Relationship Between Zygomatic Process and Sphenoid Sinus Pneumatization in Cone-Beam Computed Tomography Images. [PDF]

Diagnostics (Basel)
Katı E, Akçiçek G, Zengin HY.
europepmc   +1 more source

Deep learning cone‐beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects

Journal of Periodontology, EarlyView.
Abstract Background The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone‐beam computed tomography (CBCT) enables detailed imaging of these defects; however, to leverage their full potential, CBCT images must be reconstructed in 3 dimensions (3D).
Daniel Palkovics, Balint Molnar, Csaba Pinter, David García‐Mato, Andres Diaz‐Pinto, Attila Tanacs, Andrea Dobos, Peter Windisch, Christoph A. Ramseier   +8 more
wiley   +1 more source

Morphological analysis of anatomical structure of nasopharynx in cone-beam computed tomography in Korean population. [PDF]

Imaging Sci Dent
Lee C, Lee JY, MacDonald D.
europepmc   +1 more source

A retrospective cohort study comparing periodontal regeneration using fibroblast growth factor‐2 versus autologous bone graft

Journal of Periodontology, EarlyView.
Abstract Background Fibroblast growth factor‐2 (FGF‐2) is a novel agent utilized in periodontal regeneration therapy. However, its clinical efficacy compared with autologous bone graft (ABG), a long‐established treatment, remains unclear. This study aimed to compare the clinical outcomes of FGF‐2 and ABG and to assess the impact of patient background ...
Toshiki Matsumoto, Shin Nakamura, Yuki Ito‐Shinoda, Mai Sakamoto, Takayuki Ishii, Yasuki Nonomura, Hidetaka Ideguchi, Keisuke Okubo, Kazu Takeuchi‐Hatanaka, Kazuhiro Omori, Tadashi Yamamoto, Shogo Takashiba   +11 more
wiley   +1 more source

Morphometric analysis of the mandibular incisive canal using cone beam computed tomography images. [PDF]

Head Face Med
Safi Y, Azizi Z, Rahimian S, Dehghanian T, Heydarzadeh B.   +4 more
europepmc   +1 more source