نتایج جستجو برای: radiomics
تعداد نتایج: 1808 فیلتر نتایج به سال:
Background: The interstitial lung disease (ILD) associated with connective tissue diseases including systemic sclerosis (SSc) is heterogenous characterized by reduced survival of approximately 3 years (1). “Radiomics’’ a field research which describes the in-depth analysis tissues computational retrieval high-dimensional quantitative features from medical images (2). Our previous study suggeste...
Glioblastoma is the most aggressive adult primary brain tumor which is incurable despite intensive multimodal treatment. Inter- and intratumoral heterogeneity poses one of the biggest barriers in the diagnosis and treatment of glioblastoma, causing differences in treatment response and outcome. Noninvasive prognostic and predictive tests are highly needed to complement the current armamentarium...
Background: Noninvasive identification of amyloid-? (A?) is important for better clinical management mild cognitive impairment (MCI) patients. Objective: To investigate whether radiomics features in the hippocampus MCI improve prediction cerebrospinal fluid (CSF) A?42 status when integrated with profiles. Methods: A total 407 subjects from Alzheimer’s Disease Neuroimaging Initiative were alloca...
Radiomics supposes an alternative non-invasive tumor characterization tool, which has experienced increased interest with the advent of more powerful computers and sophisticated machine learning algorithms. Nonetheless, incorporation radiomics in cancer clinical-decision support systems still necessitates a thorough analysis its relationship biology. Herein, we present systematic review focusin...
Background: Distinguishing synchronous double primary lung adenocarcinoma (SDPLA) from intrapulmonary metastasis (IPM) of cancer has significant therapeutic and prognostic values. This study aimed to develop validate a CT-based radiomics model differentiate SDPLA IPM.
Background The optimization of endometrial receptivity (ER) through individualized therapies has been shown to enhance the likelihood successful gestation. However, current practice lacks comprehensive methods for evaluating ER patients with recurrent pregnancy loss (RPL). Radiomics, an emerging AI-based technique that enables extraction mineable information from medical images, holds potential...
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