Results 131 to 140 of about 55,768 (244)

The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors

Insights into Imaging
Radiomics has widespread applications in the field of brain tumor research. However, radiomic analyses often function as a ‘black box’ due to their use of complex algorithms, which hinders the translation of brain tumor radiomics into clinical ...
Yixin Wang, Zongtao Hu, Hongzhi Wang
doaj   +1 more source

Radiomics-guided therapy for bladder cancer: Using an optimal biomarker approach to determine extent of bladder cancer invasion from t2-weighted magnetic resonance images [PDF]

, 2018
Baumann, Brian C, Chen, Jerry, Christodouleas, John P, Guzzo, Thomas J, Mamtani, Ronac, Tong, Yubing, Torigian, Drew A, Udupa, Jayaram K, Venigalla, Sriram, Wang, Chuang   +9 more
core   +2 more sources

Calcification and tumour‐infiltrating lymphocytes predict upgrade of human epidermal growth factor 2 (HER2)‐negative ductal carcinoma in situ diagnosed on core needle biopsy

Histopathology, EarlyView.
With evolving paradigm in treatment of patient diagnosed with pure ductal carcinoma in situ (DCIS), it is essential to stratify patients at low risk for upgrade to invasive disease at subsequent excision to inform management decisions. When combined with adequate sampling and intrinsic tumour characteristics, tumour microenvironment (TME) features ...
Monalyn Marabi, Yuyang Li, Chaiwat Aphivatanasiri, Julia Y Tsang, Joshua JX Li, Lin‐Ying Chen, Gary M Tse   +6 more
wiley   +1 more source

Information Distortion in Electronic Health Records: A Concept Analysis

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To conceptualise information distortion in Electronic Health Records (EHRs), with the goal of providing a theoretical foundation for improving documentation practices. Design A concept analysis. Methods Walker and Avant's strategy for concept analysis was used. The defining attributes, antecedents and consequences were identified.
Jianan Wang, Yihong Xu, Rongrong Zhang, Zhichao Yang, Xiaojie Zhang, Hongying Pan   +5 more
wiley   +1 more source

Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic‐associated steatotic liver disease and type 2 diabetes mellitus

Journal of Diabetes Investigation, EarlyView.
We developed an interpretable machine learning (ML) model combining cardiac magnetic resonance (CMR) radiomics and clinical data to assess left ventricular diastolic dysfunction (LVDD) risk in metabolic‐associated steatotic liver disease (MASLD)/type 2 diabetes mellitus (T2DM) patients, enabling proactive treatment.
Jinying Xia, Shaoyi Leng, Bin Xu, Guang Jin, Jianhui Li, Mingchen Zhang, Danzhen Yao, Ruiting Shen, Qifeng Hua   +8 more
wiley   +1 more source

A framework for artificial intelligence in cancer research and precision oncology

npj Precision Oncology, 2023
Raquel Perez-Lopez, Jorge S. Reis-Filho, Jakob Nikolas Kather   +2 more
doaj   +1 more source

Impact of Intraprostatic Simultaneous Integrated Boost on Long‐Term Outcomes in Unfavorable Intermediate‐Risk Prostate Cancer Treated With Dose‐Escalated Radiotherapy and Short‐Term Androgen Deprivation Therapy

The Prostate, Volume 86, Issue 8, Page 961-969, June 2026.
ABSTRACT Background Unfavorable intermediate‐risk prostate cancer (UIR‐PCa) represents a biologically heterogeneous subgroup with a higher risk of recurrence compared with favorable intermediate‐risk disease. Contemporary management frequently includes dose‐escalated radiotherapy (RT) combined with short‐term androgen deprivation therapy (ADT). Whether
Cem Onal, Aysenur Elmali, Birhan Demirhan, Ertugrul Senturk, Petek Erpolat, Ozan Cem Guler   +5 more
wiley   +1 more source

Brain tumour segmentation on contrast enhanced T1w MRI using local texture and Random Forests [PDF]

, 2018
Bonte, Stijn, Goethals, Ingeborg, Van Holen, Roel   +2 more
core   +2 more sources

Pancreatic Cancer—Advances in the Last 50 Years

World Journal of Surgery, EarlyView.
S. George Barreto, Anirban Maitra, Eileen M. O'Reilly, Dushyant Sahani, Richard Zheng, Charles J. Yeo   +5 more
wiley   +1 more source

Clot Composition Profiling in Large Vessel Occlusion Stroke Via Radiomics

Annals of Neurology, Volume 99, Issue 5, Page 1179-1188, May 2026.
Objective Clot composition may offer insights into the mechanism of ischemic stroke. Radiomics, a noninvasive imaging technique, enables tissue characterization through radiomic features (RFs). We aimed to evaluate clot composition using radiomics on non‐contrast computed tomography (NCCT).
Andres Gudino, Elena Sagues, Carlos Dier, Diego Ojeda, Samantha Saenz‐Hinojosa, Sebastian Sanchez, Ariel Vargas, Linder Wendt, Maria Belen Torres, Emily Garces, Alex Hanson, Navami Shenoy, Connor Aamot, Susan A. Walsh, Anil K. Chauhan, Gowri Anil‐Peethambar, Santiago Ortega‐Gutierrez, Jay Kinariwala, Mohamed Elshikh, Amir Shaban, Enrique C. Leira, Osorio Lopes Abath Neto, Malik Ghannam, Edgar A. Samaniego   +23 more
wiley   +1 more source