Results 111 to 120 of about 48,979 (300)

Molecular theranostics: principles, challenges and controversies

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 156-164, March 2025.
Molecular theranostics offers a powerful tool to drive precision medicine in nuclear oncology. While theranostics is not a new principle in nuclear medicine, recent advances in instrumentation and radiopharmacy have driven a reinvigoration and a broader suite of applications.
Geoffrey Currie
wiley   +1 more source

MRI radiomics-based approach to predict pituitary neuroendocrine tumor invasiveness

European Radiology Experimental
Objectives To assess the diagnostic potential of magnetic resonance imaging (MRI) radiomics and machine learning models using T2-weighted and contrast-enhanced (CE)-T1-weighted images, individually and combined, to predict the invasiveness of pituitary ...
Rosalinda Calandrelli, Huong Elena Tran, Edda Boccia, Elia Oliva, Gabriella D’Apolito, Luca Boldrini, Pier Paolo Mattogno, Sabrina Chiloiro, Marco Gessi, Francesco Doglietto, Simona Gaudino   +10 more
doaj   +1 more source

Preoperative prediction of lymph node metastasis in patients with ovarian cancer using contrast-enhanced computed tomography-based intratumoral and peritumoral radiomics features

Frontiers in Oncology
PurposeTo develop and validate computed tomography (CT)-based intratumoral and peritumoral radiomics signatures for preoperative prediction of lymph node metastasis (LNM) in patients with ovarian cancer (OC).MethodsPatients with pathological diagnosis of
Jing Zhang, Qiyuan Li, Haoyu Liang, Yao Wang, Li Sun, Qingyuan Zhang, Chuanping Gao   +6 more
doaj   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian   +10 more
wiley   +1 more source

Computed tomography based radiomics signature for predicting the expression of vascular endothelial growth factor in pediatric patients with nephroblastoma

Scientific Reports
To construct a computed tomography (CT) based radiomics signature and assess its performance in predicting vascular endothelial growth factor (VEGF) expression in pediatric patients with nephroblastoma.
Ma Fu, Han Qi, Suyue Zhu, Yan Gao, Yanlin Li, Jian Wu, Dongsheng Zhu   +6 more
doaj   +1 more source

When Explant Surprises: Management and Outcomes of Hepatocellular Carcinoma Beyond Milan Criteria Discovered Post‐Transplant‐ A Narrative Review of Literature

Journal of Surgical Oncology, EarlyView.
ABSTRACT Liver transplantation (LT) is the definitive treatment for early hepatocellular carcinoma (HCC), based on established criteria. Pre‐transplant imaging occasionally underestimates the tumor burden or biological aggressiveness, leading to explant pathology that exceeds the projection criteria, such as Milan.
Serkan Sucu, Brian Longbottom, Hassan Aziz   +2 more
wiley   +1 more source

Construction of a Non‐Invasive Predictive Model Based on PIVKA‐II Combined With MRI Imaging Features for Evaluating Microvascular Invasion in Hepatocellular Carcinoma

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study developed a non‐invasive model using PIVKA‐II and MRI features to predict microvascular invasion in hepatocellular carcinoma, providing a reliable tool for early risk assessment and personalized treatment planning. The study included 98 patients with pathologically confirmed HCC (Child‐Pugh A, BCLC stage A), comprising 43 MVI ...
Di Gao, Rui‐Qi Jin, Hong‐Wei Wang
wiley   +1 more source

Quantitative Analysis of TP53-Related Lung Cancer Based on Radiomics

, 2022
Hongyu Qiao,1 Zhongxiang Ding,2 Youcai Zhu,1 Yuguo Wei,3 Baochen Xiao,1 Yongzhen Zhao,1 Qi Feng2 1Zhejiang Rongjun Hospital, Jiaxing, People’s Republic of China; 2Department of Radiology, Affiliated Hangzhou First People’s Hospital, Zhejiang University ...
Qiao H, Zhu Y, Ding Z, Wei Y, Xiao B, Zhao Y, Feng Q   +6 more
core  

Novel Nomogram for Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma

Frontiers in Oncology, 2018
Introduction: The emerging field of “radiomics” has considerable potential in disease diagnosis, pathologic grading, prognosis evaluation, and prediction of treatment response.
Wenjie Liang, Wenjie Liang, Lei Xu, Lei Xu, Pengfei Yang, Pengfei Yang, Lele Zhang, Lele Zhang, Lele Zhang, Dalong Wan, Qiang Huang, Tianye Niu, Feng Chen   +12 more
doaj   +1 more source

Integrating CT‐Based Radiomics Analysis With Serum CEA Level to Predict Neoadjuvant Chemoradiotherapy Response in Colorectal Cancer

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Response to neoadjuvant chemoradiotherapy (NACRT) in locally advanced colorectal cancer (CRC) varies widely, and accurately identifying poor responders is crucial for guiding timely treatment modification. This study aimed to develop an integrated predictive model combining radiomics derived from routine radiotherapy non‐contrast planning ...
Sin‐Hua Moi, Ming‐Yii Huang, Shu‐Han Yang, Chien‐Jang Chen, Ying‐Pei Jhong, Tun‐Wei Hsu, Chien‐Chih Ke   +6 more
wiley   +1 more source