Results 151 to 160 of about 43,566 (284)

MR-radiomic-based pathological response prediction to neoadjuvant chemotherapy in breast cancer [PDF]

openIn the evolving landscape of artificial intelligence (AI) and personalized medicine, the significance of employing supervised and unsupervised learning techniques has surged, particularly in the comprehensive analysis of medical images across diverse
FEDON VOCATURO, MARINA
core  

A study on the value of ultrasound strain elastography-based radiomics nomogram in the differential diagnosis of breast masses

Scientific Reports
The aim of this study was to construct a radiomics nomogram for prediction of breast masses (BMs) by analyzing the clinical characteristics of the patients as well as radiomics features of two-dimensional (2D) ultrasound images and strain elastography ...
Yunpei Zhu, Yanping Dou, Qifan Hu, Hui Wang   +3 more
doaj   +1 more source

Morphological Sinus Features and Chronic Rhinosinusitis Risk: A Radiomics Study

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives Anatomical factors of the sinuses significantly impact the progression of chronic rhinosinusitis (CRS). This study aims to investigate the correlation between morphological sinus features and the risk of CRS onset to provide evidence‐based support for clinical management.
Song Luo, Xiang‐Hai Hu, Min Yin, Song Li, Lei Cheng   +4 more
wiley   +1 more source

Deep Learning-Based Automatic Segmentation Combined with Radiomics to Predict Post-TACE Liver Failure in HCC Patients [PDF]

Shuai Li,1,* Kaicai Liu,1,* Chang Rong,1,* Xiaoming Zheng,1 Bo Cao,2 Wei Guo,3 Xingwang Wu1 1Department of Radiology, the First Affiliated Hospital of AnHui Medical University, Hefei, Anhui Province, People’s Republic of China; 2Department of
Liu K, Zheng X, Li S, Rong C, Guo W, Cao B, Wu X   +6 more
core   +1 more source

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

Prostate cancer MRI methodological radiomics score: a EuSoMII radiomics auditing group initiative [PDF]

Objectives: To evaluate the quality of radiomics research in prostate MRI for the evaluation of prostate cancer (PCa) through the assessment of METhodological RadiomICs (METRICS) score, a new scoring tool recently introduced with the goal of fostering ...
Trotta R., Fanni S. C., Cuocolo R., Triantafyllou M., Ponsiglione A., Ghezzo S., Cannella R., Vernuccio F., Ugga L., Cavallo A. U., Klontzas M. E., Stanzione A., Kalarakis G.   +12 more
core   +1 more source

The Evolving Status of Radiomics [PDF]

JNCI: Journal of the National Cancer Institute, 2020
Philip O Alderson, Ronald M Summers
openaire   +2 more sources

Prediction Models for Sentinel Lymph Node Metastasis in Clinically Node‐Negative Breast Cancer: Validation of Existing Nomograms, Model Development, and Ensemble Evaluation

World Journal of Surgery, EarlyView.
Prediction models using routine clinicopathological variables can identify patients with a very low risk of sentinel lymph node macrometastasis. Ensemble modeling modestly improves classification and increases the proportion of patients eligible for safe, risk‐adapted axillary de‐escalation.
Justin James, Kirti Mehta, Osamah Al‐Qershi, Emily Schembri, Michael Law, Shomik Sengupta, Christobel Saunders   +6 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

Lung V5 and Planning Target Volume/Lung Volume Ratio as Independent Risk Factors for ≥Grade 2 Radiation Pneumonitis after Moderately Hypofractionated Radiotherapy: A Retrospective Study

Asia-Pacific Journal of Clinical Oncology, EarlyView.
Lung V5 and the planning target volume/lung volume ratio were identified as independent dosimetric risk factors for clinically significant radiation pneumonitis following moderately hypofractionated radiotherapy for lung cancer. Maintaining V5 < 35% may help mitigate this risk in clinical practice.
YuanYou Yang, FengXia Luo, Chao Wang, Gang Ren   +3 more
wiley   +1 more source