Results 141 to 150 of about 6,097,379 (251)

Automated quality assurance of rigid brain CT/MR image registration using a 3D convolutional neural network. [PDF]

J Appl Clin Med Phys
Chahrour ZA, Obeid NF, El-Zaart A, El Kanawati W, Mkanna A, Assaf R, Shahine BH.   +6 more
europepmc   +1 more source

Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma Using Arterial Enhancement Fraction Derived From Dual‐Layer Spectral CT

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the diagnostic value of arterial enhancement fraction (AEF) derived from dual‐layer detector spectral CT (DLCT) in preoperative assessment of cervical lymph node metastasis in patients with papillary thyroid carcinoma (PTC), and to compare its performance with other spectral CT quantitative parameters and conventional CT ...
Lili Ye, Xiangfa He, Ming Liang, Yuxin Wei, Hao Zhang, Xiaomin Liu, Xiaolin Zheng   +6 more
wiley   +1 more source

Physics-informed depth-enhanced surface tracking for cumulative dose reconstruction in breast radiotherapy: An in silico feasibility study. [PDF]

J Appl Clin Med Phys
Tang X, Qiu M, Deng Y.
europepmc   +1 more source

Head and Neck Lymph Node Metastases From Cancer of Unknown Primary: Outcomes From p16‐Guided Mucosal Radiotherapy

Head &Neck, EarlyView.
ABSTRACT Background The AJCC 8th edition distinguishes p16‐positive oropharyngeal head and neck carcinoma of unknown primary (HNCUP) due to its superior prognosis. However, standardized radiation volume guidelines are lacking. This study evaluates the safety of p16‐guided mucosal volume reduction.
Philippe Harris, Dhiya‐Eddine Mabrouki, Felix‐Phuc Nguyen‐Tan, Edith Filion, Olivier Ballivy, Brian O'Sullivan, Apostolos Christopoulos, Tareck Ayad, Louis Guertin, Eric Bissada, Paul Tabet, Denis Soulières, Antoine Desilets, Alexandre Pellan Cheng, Robert Doucet, Laurent Létourneau‐Guillon, Houda Bahig   +16 more
wiley   +1 more source

Synthetic MRI from radiotherapy planning CT images for Head-and-Neck Cancer. [PDF]

J Appl Clin Med Phys
Ramachandran P, Dhargave AC, Jones C, Liefman D, McDowell L, Liu H.   +5 more
europepmc   +1 more source

Transoral Robotic Surgery for Oropharyngeal Squamous Cell Carcinoma: Glossotonsillar Sulcus Involvement Conveys an Unfavorable Oncological Outcome

Head &Neck, EarlyView.
ABSTRACT Background Transoral robotic surgery (TORS) is widely used in management of early‐stage primary oropharyngeal squamous cell carcinoma (OPSCC). Tumors involving the glossotonsillar sulcus (GTS) are hypothesized to confer worse oncological outcomes compared to those situated in the rest of the oropharynx, with a paucity of evidence to support ...
Johan S. Nilsson, John C. Hardman, James Tsimiklis, Bora Jeong, Maryam Khan, Jonathan Daniel, Giri Krishnan, Andrew Foreman, Suren Krishnan, John‐Charles Hodge   +9 more
wiley   +1 more source

CBCT-Guided Online Adaptive Ultrahypofractionated Whole-Breast Radiotherapy for Early-Stage Breast Cancer: Dosimetric Outcomes and Acute Toxicity. [PDF]

Curr Oncol
Ursi G, Lekić M, Kaučić H, Kovačević A, Kosmina D, Schwarz K, Schwarz D, Vučinić D.   +7 more
europepmc   +1 more source

Bone‐Anchored Implant Survival in Oncologic Facial Prosthetic Rehabilitation

Head &Neck, EarlyView.
ABSTRACT Background Published survival rates for bone‐anchored craniofacial implants exceed 85%, but derive largely from mixed populations. Whether these apply to head and neck oncologic surgery remains uncertain. Methods Retrospective survival analysis of implants placed for prosthetic rehabilitation following extirpative surgery at a UK center (2005 ...
Oliver Blanshard, Sarah Jones, Peter M. Clarke, Jonathan M. Bernstein   +3 more
wiley   +1 more source

White matter pathlength maps from diffusion-weighted MRI tractography for radiotherapy target planning in glioblastoma. [PDF]

J Neurooncol
Wahl M, Chapman CH, Morin O, Jordan K, Henry RG, Chang SM, Villanueva-Meyer JE, Mukherjee P, Theodosopoulos P, McDermott MW, Berger MS, Sneed P, Braunstein SE, Lupo JM.   +13 more
europepmc   +1 more source

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling

Head &Neck, EarlyView.
ABSTRACT Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunity for early detection. Current methods to assess risk of precursor lesion progression to oral cancer incompletely predict risk. A multimodal framework that leverages machine learning is needed to improve prediction.
Michael E. Troka, James C. Gates
wiley   +1 more source