Results 111 to 120 of about 52,953 (291)

Sizing and concentration analysis of cfDNA using Biabooster technology: Results from a prospective plasma‐based collection of 77 patients with locally advanced unresectable esophageal cancer

International Journal of Cancer, EarlyView.
What's New? This study introduces a novel approach for detecting locally advanced esophageal carcinoma using cell‐free DNA (cfDNA) analysis through a highly sensitive fragmentome assay. Unlike traditional sequencing‐based methods that are limited by the absence of specific mutations in esophageal tumors, our method offers an alternative by quantifying ...
Anouchka Modesto, Sophie Gibert, Caroline Delmas, David Tougeron, Amaury Paumier, Alexandre Taillez, Samuel Le Sourd, Delphine Argo Leignel, Philippe Ronchin, Ariane Darut Jouve, Véronique Vendrely, Olivier Riou, Jérôme Martin‐Babau, Thomas Leroy, Laurent Quéro, Naïma Hanoun, Pierre Cordelier, Veronica Pezzella, Jean Pierre Delord, Rosine Guimbaud, Elizabeth Moyal, Catherine Seva   +21 more
wiley   +1 more source

Quality appraisal of radiomics-based studies on chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS) [PDF]

Objectives: To assess the methodological quality of radiomics-based studies on bone chondrosarcoma using METhodological RadiomICs Score (METRICS) and Radiomics Quality Score (RQS). Methods: A literature search was conducted on EMBASE and PubMed databases
Albano, Domenico, Sconfienza, Luca Maria, Gitto, Salvatore, Cuocolo, Renato, Messina, Carmelo, Klontzas, Michail E, Klontzas, Michail E.   +6 more
core   +1 more source

Pretreatment EBV‐DNA/TLG‐Based Risk Stratification Is Associated With Survival Outcomes in Nonmetastatic Nasopharyngeal Carcinoma: An Exploratory Study

International Journal of Cancer, EarlyView.
ABSTRACT Whether combining pretreatment plasma Epstein–Barr virus DNA (EBV‐DNA) with 18F‐FDG PET/CT‐derived total lesion glycolysis (TLG) improves prognostic stratification in nonmetastatic nasopharyngeal carcinoma (NPC) is unclear, particularly in nonendemic populations.
Mehmet Çağrı Duymaz, Ece Özkaya Duymaz, Nazlı Ünsal, Recep Bekiş, Büşra Tozduman, Özgür Appak, Ayşe Demiral, Oğuz Çetinayak   +7 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

A Multimodal Deep Learning Framework Integrating Tumor Microenvironment Niches for Overall Survival Prediction in Esophageal Squamous Cell Carcinoma

iMetaMed, EarlyView.
The training cohort (n = 273) and internal validation cohort (n = 63) were obtained from Qilu Hospital of Shandong University, while the external validation cohort (n = 114) was derived from Liaoning Cancer Hospital. Multimodal input data included CT images with corresponding tumor segmentation masks, whole‐slide pathology images (WSIs), clinical data,
Yuanyue Zhang, Xiaoyan Li, Henan Zhang, Guang Yang, Chulong Zhang, Xiaomin Ni, Xuefei Lin, Huahui Li, Yan Min, Wei Teng, Yaoqin Xie, Hui Yang, Yang Zhang, Xin Hong, Md Tauhidul Islam, Shunsuke Koga, Zhihao Xie, Ping Zhou, Jingdong Zhang, Hao Yu, Xiaokun Liang, Jianbo Wang   +21 more
wiley   +1 more source

Radiomics applied to lung cancer: a review

, 2016
Lung cancers exhibit strong phenotypic differences that can be visualized noninvasively by medical imaging. Radiomics, a concept introduced in 2012, refers to the comprehensive quantification of tumor phenotypes by applying a large number of quantitative
Geets, Xavier, Pieters, Thierry, de Jong, Evelyn E. C., van Timmeren, Janita, Scrivener, Madeleine, van Timmeren, Janna E., Ghaye, Benoît   +6 more
core   +1 more source

Deep‐Learning Based Contrast Boosting: A Multi‐Center Multi‐Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Gadolinium‐based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition.
Srivathsa Pasumarthi Venkata, Thomas Campbell Arnold, Sonia Colombo Serra, Jeffrey. D. Rudie, Jalal. B. Andre, Ronny Elor, Dayang Wang, Praveen Gulaka, Ajit Sankaranarayanan, Gunter Erb, Greg Zaharchuk   +10 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

The Integration of Radiomics and Artificial Intelligence in Modern Medicine [PDF]

With profound effects on patient care, the role of artificial intelligence (AI) in radiomics has become a disruptive force in contemporary medicine. Radiomics, the quantitative feature extraction and analysis from medical images, offers useful imaging ...
Giacomo Cusumano, Luigi La Via, Masiello, Edoardo, Salerno, Valerio, La Via, Luigi, Caterina Gagliano, Cusumano, Giacomo, Salvatore Lavalle, Nicole Dalia Cilia, Cilia, Nicole Dalia, Mario Lentini, Edoardo Masiello, Valerio Salerno, Lentini, Mario, Federica Parisi, Antonino Maniaci, Parisi, Federica, Gagliano, Caterina, Maniaci, Antonino, Giannicola Iannella, Lavalle, Salvatore, Iannella, Giannicola, Cusumano, G., Maniaci, A., Lentini, M., Parisi, F., Cilia, Nicole D., Gagliano, C., Salerno, V., Masiello, E., Via, L. La, Lavalle, S., Iannella, G.   +32 more
core   +1 more source

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