Results 61 to 70 of about 455,909 (199)

Risk Stratification of Prostate Imaging Reporting and Data System (PI‐RADS 3) Lesions in the Peripheral and Transition Zones Using Clinical and Quantitative MRI Markers

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Prostate Imaging Reporting and Data System (PI‐RADS) 3 lesions often undergo biopsy despite a low positive predictive value (< 25%) for clinically significant prostate cancer (csPCa), defined as International Society of Urological Pathology (ISUP) Grade Group ≥ 2.
Tejinder Kaur, Reve Chahine, Nicole Seiberlich, Hero Hussain, Shane Wells, Vikas Gulani, Yun Jiang   +6 more
wiley   +1 more source

Deep learning-based super-resolution and denoising algorithm improves reliability of dynamic contrast-enhanced MRI in diffuse glioma

Scientific Reports
Dynamic contrast-enhanced MRI (DCE-MRI) is increasingly used to non-invasively image blood-brain barrier leakage, yet its clinical utility has been hampered by issues such as noise and partial volume artifacts.
Junhyeok Lee, Woojin Jung, Seungwook Yang, Jung Hyun Park, Inpyeong Hwang, Jin Wook Chung, Seung Hong Choi, Kyu Sung Choi   +7 more
doaj   +1 more source

Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Hepatocellular Carcinoma: A Review of Emerging Applications for Locoregional Therapy

Bioengineering
Quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is emerging as a valuable tool for assessing tumor and parenchymal perfusion in the liver, playing a developing role in locoregional therapies (LRTs) for hepatocellular carcinoma
Xinyi M. Li, Tu Nguyen, Hiro D. Sparks, Kyunghyun Sung, Jason Chiang   +4 more
doaj   +1 more source

Contrast‐enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients

Cancer Medicine, 2020
Background China has an increasing burden of breast cancer. However, with a large population of dense breast patients, the diagnostic efficiency of conventional digital mammography is attenuated. Methods From July 2017 to October 2018, we retrospectively
Yun Qin, Ying Liu, Xueqin Zhang, Shuang Zhao, Huanhuan Zhong, Juan Huang, Jianqun Yu   +6 more
doaj   +1 more source

Deep Learning and Machine Learning Algorithms for Cervical Cancer Segmentation on MRI: A Systematic Review

Journal of Medical Radiation Sciences, EarlyView.
This systematic review summarizes current evidence on machine and deep learning algorithms for MRI‐based cervical cancer segmentation, demonstrating promising diagnostic performance and potential for workflow automation. However, methodological heterogeneity, limited external validation, and low certainty of evidence highlight the need for standardized
Somayeh Haji Ahmadi, Sina Soltan Mohammadi, Abolfazl Koozari, Mohammadreza Elhaie   +3 more
wiley   +1 more source

Optimising hypoxia PET imaging and its applications in guiding targeted radiation therapy for non‐small cell lung cancer: a scoping review

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 106-118, March 2025.
This review article reports that quantification of hypoxic volumes using PET in the pre‐radiation therapy setting is of prognostic value and indicative of treatment response in non‐small cell lung cancer. Abstract Introduction Non‐small cell lung cancer (NSCLC) is the leading cause of cancer‐related death. Definitive treatment includes chemotherapy and
Carol Marks, Michelle Leech
wiley   +1 more source

Preclinical evaluation of Gd-DTPA and gadomelitol as contrast agents in DCE-MRI of cervical carcinoma interstitial fluid pressure

BMC Cancer, 2012
Background High interstitial fluid pressure (IFP) in the primary tumor is associated with poor disease-free survival in locally advanced cervical carcinoma. A noninvasive assay is needed to identify cervical cancer patients with highly elevated tumor IFP
Hompland Tord, Ellingsen Christine, Rofstad Einar K   +2 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

Contrasting the vascular response to sunitinib as measured by DCE-CT, DCE-MRI, and DCE-US.

, 2013
378 Background: Medical imaging (DCE-MRI, DCE-CT, DCE-US) provides localized information about the integrity and hemodynamics of the tumor microvasculature.
Alex Kiss, Peter N. Burns, Georg A. Bjarnason, Greg J. Stanisz, Colleen Bailey, Laurent M. Milot, Ross Williams, John M. Hudson, Mostafa Atri   +8 more
core   +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