نتایج جستجو برای: radiomic prediction mri

تعداد نتایج: 357714  

Journal: :Neuro-oncology 2023

Abstract In pediatric low-grade gliomas (pLGG), prognosis and responses to treatments are heterogeneous. This heterogeneity may be explained by the differences in molecular composition of tumors same histology likely upstream alterations following administered radiation or systemic therapy. Integration radiomics clinical variables could generate a non-invasive biomarker that provides upfront pr...

2017
Hesham Elhalawani Abdallah S.R. Mohamed Aubrey L. White James Zafereo Andrew J. Wong Joel E. Berends Shady AboHashem Bowman Williams Jeremy M. Aymard Aasheesh Kanwar Subha Perni Crosby D. Rock Luke Cooksey Shauna Campbell Yao Ding Stephen Y. Lai Elisabeta G. Marai David Vock Guadalupe M. Canahuate John Freymann Keyvan Farahani Jayashree Kalpathy-Cramer Clifton D. Fuller

Cancers arising from the oropharynx have become increasingly more studied in the past few years, as they are now epidemic domestically. These tumors are treated with definitive (chemo)radiotherapy, and have local recurrence as a primary mode of clinical failure. Recent data suggest that 'radiomics', or extraction of image texture analysis to generate mineable quantitative data from medical imag...

Journal: :Nephrology Dialysis Transplantation 2021

Abstract Background and Aims Interstitial fibrosis / tubular atrophy (IFTA) is a common, irreversible progressive form of chronic allograft injury, it considered critical predictor kidney outcomes. Inflammation, both microvascular interstitial, on the contrary regarded as reversible graft injury. Since treatments for rejection other causes dysfunction bear substantial toxicity could have limite...

Journal: :CoRR 2017
Mohammad Javad Shafiee Alexander Wong

While skin cancer is the most diagnosed form of cancer in men and women, with more cases diagnosed each year than all other cancers combined, sufficiently early diagnosis results in very good prognosis and as such makes early detection crucial. While radiomics have shown considerable promise as a powerful diagnostic tool for significantly improving oncological diagnostic accuracy and efficiency...

Journal: :Scientific reports 2015
Yitan Zhu Hui Li Wentian Guo Karen Drukker Li Lan Maryellen L Giger Yuan Ji

Magnetic Resonance Imaging (MRI) has been routinely used for the diagnosis and treatment of breast cancer. However, the relationship between the MRI tumor phenotypes and the underlying genetic mechanisms remains under-explored. We integrated multi-omics molecular data from The Cancer Genome Atlas (TCGA) with MRI data from The Cancer Imaging Archive (TCIA) for 91 breast invasive carcinomas. Quan...

Journal: :European Radiology 2021

To assess the diagnostic performance of radiomic analysis using high temporal resolution (HTR)-dynamic contrast enhancement (DCE) MR sequences compared to BI-RADS distinguish benign from malignant breast lesions. We retrospectively analyzed data consecutive women who underwent MRI including HTR-DCE sequencing for abnormal enhancing lesions and had subsequent pathological at our tertiary center....

2015
Alexander Wong Audrey G. Chung Devinder Kumar Mohammad Javad Shafiee

In this paper, we describe the underlying methodology behind discovery radiomics, where the ultimate goal is to discover customized, abstract radiomic feature models directly from the wealth of medical imaging data to better capture highly unique tumor traits beyond what can be captured using hand-crafted radiomic feature models. We further explore the current state-of-the-art in discovery radi...

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