Results 101 to 110 of about 55,768 (244)

Prediction of Abdominal Aortic Aneurysm Growth by Automatic Segmentation and Radiomics Feature Quantification [PDF]

, 2019
An accurate assessment of abdominal aortic aneurysm (AAA) progression is essential to its clinical management. Currently, the maximum diameter of AAA at diagnosis is considered as the primary indicator of rupture risk.
Xiong, Fei
core  

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?

Cancer Imaging
Background To compare the performance between one-slice two-dimensional (2D) and whole-volume three-dimensional (3D) computed tomography (CT)-based radiomics models in the prediction of lymphovascular invasion (LVI) status in esophageal squamous cell ...
Yang Li, Xiaolong Gu, Li Yang, Xiangming Wang, Qi Wang, Xiaosheng Xu, Andu Zhang, Meng Yue, Mingbo Wang, Mengdi Cong, Jialiang Ren, Wei Ren, Gaofeng Shi   +12 more
doaj   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong, Yue Xing, Yangfan Hu, Xianwei Liu, Shun Dai, Defang Ding, Junjie Lu, Jiarui Yang, Yue Li, Yang Song, Minda Lu, Dominik Nickel, Wenjie Lu, Huan Zhang, Weiwu Yao   +14 more
wiley   +1 more source

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

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

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

The Negative Impact of a Non‐Therapeutic Laparotomy in Patients With Inoperable Colorectal Peritoneal Metastases

Journal of Surgical Oncology, EarlyView.
ABSTRACT Background The peritoneum is the third most prevalent location for metastases of colorectal cancer. In patients with resectable disease, cytoreductive surgery combined with hyperthermic intraperitoneal chemotherapy (CRS‐HIPEC) is the preferred treatment in the Netherlands, achieving median overall survival (OS) of 36–42 months. However, during
Teun van den Heuvel, Lars van Kesteren, Simon Nienhuijs, Pim Burger, Tineke Buffart, Jurriaan Tuynman, Ignace De Hingh   +6 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

Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy

Insights into Imaging
Objectives To explore the role of radiomics in predicting the prognosis of proximal esophageal cancer and to investigate the biological underpinning of radiomics in identifying different prognoses.
Linrui Li, Zhihui Qin, Juan Bo, Jiaru Hu, Yu Zhang, Liting Qian, Jiangning Dong   +6 more
doaj   +1 more source