Results 101 to 110 of about 43,566 (284)

Recent Advances in Functional Liver Volumetry: Emphasis on 99mTc‐GSA SPECT/CT Fusion Imaging

Annals of Gastroenterological Surgery, EarlyView.
Functional liver volumetry enables more accurate assessment of the future liver remnant by integrating anatomical and functional information, improving risk stratification before major hepatectomy. Among available techniques, 99mTc‐GSA SPECT/CT fusion imaging enables precise regional functional assessment and more reliable prediction of post ...
Toru Beppu, Toshiro Masuda, Yasunori Nagayama, Hidetoshi Nitta, Hiromitsu Hayashi   +4 more
wiley   +1 more source

Radiomics: A primer for the radiation oncologist

Cancer/Radiothérapie, 2020
Radiomics are a set of methods used to leverage medical imaging and extract quantitative features that can characterize a patient's phenotype. All modalities can be used with several different software packages. Specific informatics methods can then be used to create meaningful predictive models.
J-E, Bibault, L, Xing, P, Giraud, R, El Ayachy, N, Giraud, P, Decazes, A, Burgun, P, Giraud   +7 more
openaire   +5 more sources

Current Status and Challenges of Imaging‐Based Diagnosis of Lymph Node Metastasis in Colon Cancer: The Lymph Node Committee of the Japanese Society for Cancer of the Colon and Rectum

Annals of Gastroenterological Surgery, EarlyView.
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa, Yuji Takayama, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hideki Ueno   +4 more
wiley   +1 more source

Exploring the Value Realization and Management of Healthcare Data Elements in the Context of New Quality Productive Forces

Health Care Science, EarlyView.
With the rapid advancement of information technology, data has become a key driver of social progress, particularly in the medical field. The accumulation and innovative application of medical data have not only reshaped the structure of medical production factors but also provided a strong impetus for the development of new productivity.
Zhixuan Yu, Jiaxuan Wei, Jianlin Wang, Jie Lu, Pengfei Cao   +4 more
wiley   +1 more source

Artificial Intelligence–Driven MRI for Cervical Nodal Metastasis Detection in Oral Squamous Cell Carcinoma: A Hierarchical Meta‐Analysis of Diagnostic Accuracy

Head &Neck, EarlyView.
ABSTRACT Background Artificial intelligence (AI) applied to magnetic resonance imaging (MRI) may improve detection of cervical lymph node metastases in oral squamous cell carcinoma (OSCC) but is heterogeneous. Methods A systematic review identified observational studies (from 2000) evaluating AI‐based MRI in adults with histopathologically confirmed ...
José Evando da Silva‐Filho, Renata Roque Ribeiro, André Wescley Oliveira de Aguiar, Caio Marques Silva, Daniela Pita de Melo, Karuza Maria Alves Pereira, Danielle Frota de Albuquerque, Fábio Wildson Gurgel Costa, Eduardo Diogo Gurgel‐Filho   +8 more
wiley   +1 more source

Radiomics-Guided Deep Learning Networks Classify Differential Diagnosis of Parkinsonism. [PDF]

The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL) model to discover interpretable DL features and further verify the proposed model through the ...
Wang, Luyao, Lu, Jiaying, Shi, Kuangyu, Shaoyou Wu, Ronghua Ling, Ping Wu, Jiang, Jiehui, Yan, Zhuangzhi, Liu, Yingqian, Min Wang, Yingqian Liu, Jiaying Lu, Juanjuan Jiang, Zuo, Chuantao, Ling, Ronghua, Wu, Shaoyou, Luyao Wang, Chuantao Zuo, Zhuangzhi Yan, Ge, Jingjie, Jiehui Jiang, Jingjie Ge, Wu, Ping, Jiang, Juanjuan, Wang, Min, Kuangyu Shi   +25 more
core   +1 more source

CT radiomics and PET radiomics: ready for clinical implementation? [PDF]

, 2019
INTRODUCTION: Today, rapid technical and clinical developments result in an increasing number of treatment options for oncological diseases. Thus, decision support systems are needed to offer the right treatment to the right patient.
Huellner, Martin W; https://orcid.org/, Andratschke, Nicolaus; https://orcid.org/, Pavic, Matea; https://orcid.org/, Vuong, Diem, Tanadini-Lang, Stephanie; https://orcid.org/, Guckenberger, Matthias; https://orcid.org/, Bogowicz, Marta; https://orcid.org/, Gabrys, Hubert S   +7 more
core   +1 more source

Robust radiomics: a review of guidelines for radiomics in medical imaging

Frontiers in Radiology
Introduction Radiomics aims to develop image-based biomarkers by combining quantitative analysis of medical images with artificial intelligence (AI) through a robust, reproducible pipeline. Scientific societies, task groups, and consortia have published several guidelines to help researchers design robust ...
Avanzo, Michele, Soda, Paolo, Bertolini, Marco, Bettinelli, Andrea, Rancati, Tiziana, Stancanello, Joseph, Rampado, Osvaldo, Pirrone, Giovanni, Drigo, Annalisa   +8 more
openaire   +2 more sources

Measurement Tools for Radiation‐Induced Fibrosis in Head and Neck Cancer: A Systematic Review

Head &Neck, EarlyView.
ABSTRACT Background Radiation‐induced fibrosis is a common, often debilitating late effect of head and neck cancer (HNC) treatment. An updated systematic review is needed to evaluate the reliability, validity, and clinical utility of fibrosis measurement tools.
Vanessa Helou, Pooja D. Reddy, Purva H. Rumde, Mary L. Klem, Sagar G. Kansara, Oldrich Virag, Yvonne M. Mowery, Nicole N. Scheff, Matthew E. Spector, Shaum Sridharan, Marci L. Nilsen, Kevin J. Contrera   +11 more
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