Results 51 to 60 of about 89,335 (330)

Radiomics applications in cardiac imaging: a comprehensive review

La radiologia medica, 2023
Radiomics is a new emerging field that includes extraction of metrics and quantification of so-called radiomic features from medical images. The growing importance of radiomics applied to oncology in improving diagnosis, cancer staging and grading, and ...
Tiziano Polidori, D. De Santis, Carlotta Rucci, Giuseppe Tremamunno, Giulia Piccinni, L. Pugliese, Marta Zerunian, Gisella Guido, F. Pucciarelli, Benedetta Bracci, M. Polici, A. Laghi, D. Caruso   +12 more
semanticscholar   +1 more source

Deep learning based identification of bone scintigraphies containing metastatic bone disease foci

Cancer Imaging, 2023
Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD, often ...
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, François-Xavier Hanin, Philippe Lambin, Felix M. Mottaghy, Roland Hustinx   +18 more
doaj   +1 more source

A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer. [PDF]

, 2016
Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts.
Echegaray, Sebastian, Gevaert, Olivier, Kadoch, Michael, Leung, Ann, Nair, Viswam, Napel, Sandy, Rubin, Daniel   +6 more
core   +1 more source

Development and validation of a radiomics-based nomogram for predicting a major pathological response to neoadjuvant immunochemotherapy for patients with potentially resectable non-small cell lung cancer

Frontiers in Immunology, 2023
Introduction The treatment response to neoadjuvant immunochemotherapy varies among patients with potentially resectable non-small cell lung cancers (NSCLC) and may have severe immune-related adverse effects.
Chaoyuan Liu, Wei Zhao, Junpeng Xie, Huashan Lin, Xingsheng Hu, Chang Li, Youlan Shang, Yapeng Wang, Yingjia Jiang, Mengge Ding, Muyun Peng, T. Xu, Ao’ran Hu, Yuda Huang, Yuan Gao, Xianling Liu, J. Liu, Fang Ma   +17 more
semanticscholar   +1 more source

Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations

Frontiers in Neurology, 2021
Objectives: To investigate the association between radiomics features and epilepsy in patients with unruptured brain arteriovenous malformations (bAVMs) and to develop a prediction model based on radiomics features and clinical characteristics for bAVM ...
Shaozhi Zhao, Shaozhi Zhao, Qi Zhao, Yuming Jiao, Yuming Jiao, Hao Li, Hao Li, Jiancong Weng, Jiancong Weng, Ran Huo, Ran Huo, Jie Wang, Jie Wang, Hongyuan Xu, Hongyuan Xu, Junze Zhang, Junze Zhang, Yan Li, Zhenzhou Wu, Shuo Wang, Shuo Wang, Yong Cao, Yong Cao, Jizong Zhao, Jizong Zhao   +24 more
doaj   +1 more source

Moddicom: a Complete and Easily Accessible Library for Prognostic Evaluations Relying on Image Features [PDF]

, 2015
Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e.
Alitto, Anna Rita, Autorino, Rosa, Boldrini, Luca, Damiani, Andrea, Dinapoli, Nicola, Gatta, Roberto, Valentini, Vincenzo, Vallati, Mauro   +7 more
core   +1 more source

Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review

Cancers, 2023
Simple Summary Radiomics involves the extraction of quantitative features from medical images, which can provide more detailed and objective information about the features of a tumor compared to visual inspection alone.
M. Tabassum, A. Suman, E. Suero Molina, Elizabeth Pan, A. Di Ieva, Sidong Liu   +5 more
semanticscholar   +1 more source

Cardiac Computed Tomography Radiomics [PDF]

Journal of Thoracic Imaging, 2018
Radiologic images are vast three-dimensional data sets in which each voxel of the underlying volume represents distinct physical measurements of a tissue-dependent characteristic. Advances in technology allow radiologists to image pathologies with unforeseen detail, thereby further increasing the amount of information to be processed.
Kolossváry, Márton József, Kellermayer, Miklós, Merkely, Béla Péter, Maurovich-Horvat, Pál   +3 more
openaire   +4 more sources

Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer

Frontiers in Oncology, 2021
PurposeWe aimed to explore potential confounders of prognostic radiomics signature predicting survival outcomes in clear cell renal cell carcinoma (ccRCC) patients and demonstrate how to control for them.Materials and MethodsPreoperative contrast ...
Lin Lu, Firas S. Ahmed, Oguz Akin, Lyndon Luk, Xiaotao Guo, Hao Yang, Jin Yoon, A. Aari Hakimi, Lawrence H. Schwartz, Binsheng Zhao   +9 more
doaj   +1 more source

Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients

Journal of Hematology & Oncology, 2022
Limited previous studies focused on the death and progression risk stratification of colorectal cancer (CRC) lung metastasis patients. The aim of this study is to construct a nomogram model combing machine learning-pathomics, radiomics features ...
Renjie Wang, W. Dai, J. Gong, Mingzhu Huang, T. Hu, Hang Li, Kailin Lin, C. Tan, Hongbo Hu, T. Tong, G. Cai   +10 more
semanticscholar   +1 more source