Articles with "preoperative prediction" as a keyword



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Editorial for “Preoperative Prediction of Dual‐Phenotype Hepatocellular Carcinoma Using Enhanced MRI Radiomics Models”

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Published in 2022 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.28390

Abstract: Primary liver cancer (PLC) has become the third important cause of mortality due to cancer worldwide, with an estimated 5-year overall survival rate of 18%. Hepatocellular carcinoma (HCC) is the commonest pathological variant of PLC,… read more here.

Keywords: editorial preoperative; hepatocellular carcinoma; dual phenotype; preoperative prediction ... See more keywords
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Deep convolutional neural network for preoperative prediction of microvascular invasion and clinical outcomes in patients with HCCs

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Published in 2021 at "European Radiology"

DOI: 10.1007/s00330-021-08198-w

Abstract: We aimed to develop and validate a deep convolutional neural network (DCNN) model for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) and its clinical outcomes using contrast-enhanced computed tomography (CECT) in a… read more here.

Keywords: preoperative prediction; combined nomogram; validation; clinical outcomes ... See more keywords
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Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method

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Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-40831-z

Abstract: It is difficult to accurately assess axillary lymph nodes metastasis and the diagnosis of axillary lymph nodes in patients with breast cancer is invasive and has low-sensitivity preoperatively. This study aims to develop a mammography-based… read more here.

Keywords: cancer; preoperative prediction; axillary lymph; breast cancer ... See more keywords
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Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.

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Published in 2022 at "Acta radiologica"

DOI: 10.1177/02841851221142552

Abstract: BACKGROUND The preoperative prediction of lymph node metastasis (LNM) in pancreatic ductal adenocarcinoma (PDAC) is essential in prognosis and treatment strategy formulation. PURPOSE To compare the performance of computed tomography (CT) and magnetic resonance imaging… read more here.

Keywords: training; validation; prediction lymph; prediction ... See more keywords
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Preoperative prediction of residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures: Initial application of a radiomics score based nomogram

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Published in 2022 at "Frontiers in Endocrinology"

DOI: 10.3389/fendo.2022.1093508

Abstract: Background Most patients with osteoporotic vertebral compression fracture (OVCF) obtain pain relief after vertebral augmentation, but some will experience residual back pain (RBP) after surgery. Although several risk factors of RBP have been reported, it… read more here.

Keywords: rad score; osteoporotic vertebral; prediction; preoperative prediction ... See more keywords
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A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer

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Published in 2020 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2020.00457

Abstract: Objective: To explore a new predictive model of lymphatic vascular infiltration (LVI) in rectal cancer based on magnetic resonance (MR) and computed tomography (CT). Methods: A retrospective study was conducted on 94 patients with histologically… read more here.

Keywords: multimodal radiomics; preoperative prediction; rectal cancer; radiomics model ... See more keywords
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Preoperative Prediction of Meningioma Consistency via Machine Learning-Based Radiomics

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Published in 2021 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2021.657288

Abstract: Objectives The aim of this study was to establish and validate a radiomics nomogram for predicting meningiomas consistency, which could facilitate individualized operation schemes-making. Methods A total of 172 patients was enrolled in the study… read more here.

Keywords: preoperative prediction; radiomics features; radiomics nomogram; consistency ... See more keywords
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A Multiparametric MRI-Based Radiomics Nomogram for Preoperative Prediction of Survival Stratification in Glioblastoma Patients With Standard Treatment

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Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.758622

Abstract: Objective To construct and validate a radiomics nomogram for preoperative prediction of survival stratification in glioblastoma (GBM) patients with standard treatment according to radiomics features extracted from multiparameter magnetic resonance imaging (MRI), which could facilitate… read more here.

Keywords: survival stratification; preoperative prediction; radiomics nomogram;
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A Promising Preoperative Prediction Model for Microvascular Invasion in Hepatocellular Carcinoma Based on an Extreme Gradient Boosting Algorithm

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Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.852736

Abstract: Background The non-invasive preoperative diagnosis of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is vital for precise surgical decision-making and patient prognosis. Herein, we aimed to develop an MVI prediction model with valid performance and… read more here.

Keywords: prediction model; prediction; preoperative prediction; model ... See more keywords
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Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics

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Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.870544

Abstract: Purpose Accurate preoperative prediction of the malignant transformation of sinonasal inverted papilloma (IP) is essential for guiding biopsy, planning appropriate surgery and prognosis of patients. We aimed to investigate the value of MRI-based radiomics in… read more here.

Keywords: transformation sinonasal; prediction malignant; preoperative prediction; model ... See more keywords
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Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validation

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Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.942425

Abstract: Objectives To develop and externally validate a spectral CT based nomogram for the preoperative prediction of LVI in patients with resectable GC. Methods The two centered study contained a retrospective primary dataset of 224 pathologically… read more here.

Keywords: validation; external prospective; prediction; preoperative prediction ... See more keywords