CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma
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DOI: 10.1007/s00261-020-02890-z
Abstract: To evaluate the efficiency of CT-based peritumoral radiomics signatures of clear cell renal cell carcinoma (ccRCC) for malignancy grading in preoperative prediction. 203 patients with pathologically confirmed as ccRCC were retrospectively enrolled in this study.… read more here.
Keywords: radiomics signatures; malignancy grading; peritumoral radiomics; cell ... See more keywords
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
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DOI: 10.1007/s00330-020-07056-5
Abstract: To investigate the efficacy of contrast-enhanced computed tomography (CECT)–based radiomics signatures for preoperative prediction of pathological grades of hepatocellular carcinoma (HCC) via machine learning. In this single-center retrospective study, data collected from 297 consecutive subjects… read more here.
Keywords: machine; machine learning; radiomics signatures; via machine ... See more keywords
Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
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DOI: 10.1016/j.ejrad.2017.11.007
Abstract: PURPOSE This study aimed to investigate the capability of magnetic resonance (MR) imaging radiomics signatures for pretreatment prediction of early response to induction chemotherapy in patients with nasopharyngeal carcinoma (NPC). MATERIALS AND METHODS This was… read more here.
Keywords: induction chemotherapy; radiomics signatures; imaging radiomics; response ... See more keywords
Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma
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DOI: 10.1097/md.0000000000025838
Abstract: Abstract Radiomics contributes to the extraction of undetectable features with the naked eye from high-throughput quantitative images. In this study, 2 predictive models were constructed, which allowed recognition of poorly differentiated hepatocellular carcinoma (HCC). In… read more here.
Keywords: hepatocellular carcinoma; differentiated hepatocellular; validation; cohort ... See more keywords
Radiomics nomogram for prediction of microvascular invasion in hepatocellular carcinoma based on MR imaging with Gd-EOB-DTPA
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.1034519
Abstract: Objective To develop a radiomics nomogram for predicting microvascular invasion (MVI) before surgery in hepatocellular carcinoma (HCC) patients. Materials and Methods The data from a total of 189 HCC patients (training cohort: n = 141;… read more here.
Keywords: hepatocellular carcinoma; radiomics nomogram; model; radiomics signatures ... See more keywords
Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging
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DOI: 10.3389/fonc.2022.828904
Abstract: Objectives To compare the predictive performance of different radiomics signatures from multiparametric magnetic resonance imaging (mpMRI), including four sequences when used individually or combined, and to establish and validate an optimal nomogram for predicting perineural… read more here.
Keywords: magnetic resonance; resonance imaging; test; multiparametric magnetic ... See more keywords