Results 171 to 180 of about 14,201 (263)

Artificial Intelligence in Radiation Treatment Planning: A Survey-Based Observational Study From A Cancer Centre in Nigeria. [PDF]

Technol Cancer Res Treat
Alabi AO, Emadelden F, Ainsworth V, Isibor V, Adegboyega BC, Boateng F, Uwagba G, Aje E, Agbwakuru C, Adeneye S, Bashir MA, Habeebu MY, Sowunmi AC, Ngwa W, Durosinmi-Etti FA.   +14 more
europepmc   +1 more source

Resource‐Adapted Triage Strategies for Women Testing HPV Positive With Self‐Collected Vaginal Samples in Cameroon

International Journal of Cancer, EarlyView.
Although human papillomavirus (HPV) testing is recommended for cervical cancer screening in low‐ and middle‐income countries, optimal management of HPV‐positive women remains undetermined, particularly in resource‐limited settings. Here, using data from the 3T study involving women in Cameroon, the authors evaluated the ability of extended HPV ...
Micol Murtas, Pierre Vassilakos, Ania Wisniak, Ketty Hu, Marc Arbyn, Gilles W. Tankeu Happi, Esther Abatsong, François Marcel Ndam Nsangou, Jean‐Christophe Tille, Essia Saiji, Bruno Kenfack, Patrick Petignat   +11 more
wiley   +1 more source

Automatic adaptive radiotherapy triggering based on CBCT using deep learning for esophageal cancer underwent volumetric modulated arc therapy. [PDF]

J Appl Clin Med Phys
Jin J, Xu J, Liu Y, Shao K, Zhang L, Zhang Y, Han C, Yan H, Wang Z, Lin L, Xie C, Jin X, Zhou Y.   +12 more
europepmc   +1 more source

High‐Throughput Geocoding to Assess Short‐Term Air Pollution in Correlation With Mortality in a French Cancer Patient Cohort

International Journal of Cancer, EarlyView.
Although chronic air pollution exposure is linked to lung cancer mortality, the short‐term effects of fluctuating air quality on overall cancer mortality remain uncertain. Here, the authors applied geomatics and machine‐learning models to retrospectively examine possible associations between 31‐day pollution exposure and mortality in a French cancer ...
Loice Pokam, Joséphine Bocquet, Nadia Hégarat, Julie Perlbarg‐Samson, Thomas Balezeau, Maud Milder, Bastien Rance, Hector Countouris, Julien Guerin, Flavien Gilles, Jean Gaudart, Nicolas Girard, Clémence Basse   +12 more
wiley   +1 more source

Application of Digital Medicine to the Diagnosis and Treatment of Head and Neck Tumors. [PDF]

Cancer Rep (Hoboken)
He B, Hu Y, Wang Z, Tong Y, Gan S, Zhu Y, Wang C, Ye D.   +7 more
europepmc   +1 more source

Longitudinal Associations Between Inflammation and Multi‐Dimensional Fatigue up to 2 Years After Colorectal Cancer Diagnosis

International Journal of Cancer, EarlyView.
Cancer‐related fatigue (CRF) is a common and debilitating symptom among colorectal cancer (CRC) patients, but its underlying biological causes remain unclear, with inflammation emerging as a leading suspect. Here, researchers analyzed inflammatory biomarkers in blood samples and evaluated responses in fatigue assessments from CRC patients at and up to ...
Anouk E. C. Bruijnzeels, Floortje Mols, Katrijn Van Deun, Dounya Schoormans   +3 more
wiley   +1 more source

The Contemporary Role of Virtual and Augmented Reality in Radiation Oncology: A Review. [PDF]

Curr Oncol
Mohssine S, Pelland MÈ, Bedwani S, Roberge D.   +3 more
europepmc   +1 more source

Ovarian Cancer: Epidemiology, Disease Mechanisms, New Diagnosis and Treatment Strategies, and Research Directions

iNew Medicine, EarlyView.
ABSTRACT Ovarian cancer (OC) continues to be the deadliest gynecological malignancy and a significant cause of cancer‐related mortality among women worldwide. Standard treatment strategies typically entail platinum‐based chemotherapy in conjunction with cytoreductive surgery.
Zunera Khalid, Weirong Fan, Farah Nazir, Yixiang Xing, Tengchuan Jin   +4 more
wiley   +1 more source

Feasibility of online adaptive SBRT boost with 1.5-T MR-Linac for cervical cancer patients unsuitable for brachytherapy: a planning study. [PDF]

J Radiat Res
Abe K, Ito K, Watanabe M, Tsuneda M, Fujita Y, Uno T.   +5 more
europepmc   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source