Deep Learning Based Radiomics Predicts Response to Chemotherapy in Colorectal Liver Metastases.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14563
Abstract: PURPOSE To develop and validate a deep learning (DL)-based radiomics model to predict the response to chemotherapy in colorectal liver metastases (CRLM). METHODS In this retrospective study, we enrolled 192 patients diagnosed with CRLM who… read more here.
Keywords: radiomics model; response chemotherapy; based radiomics; response ... See more keywords
Vertebral MRI-based radiomics model to differentiate multiple myeloma from metastases: influence of features number on logistic regression model performance
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-08150-y
Abstract: This study aimed to use the most frequent features to establish a vertebral MRI-based radiomics model that could differentiate multiple myeloma (MM) from metastases and compare the model performance with different features number. We retrospectively… read more here.
Keywords: vertebral mri; radiomics model; mri based; multiple myeloma ... See more keywords
Hybrid Clinical-Radiomics Model for Precisely Predicting the Invasiveness of Lung Adenocarcinoma Manifesting as Pure Ground-Glass Nodule.
Sign Up to like & getrecommendations! Published in 2020 at "Academic radiology"
DOI: 10.1016/j.acra.2020.05.004
Abstract: RATIONALE AND OBJECTIVES To identify whether the radiomics features of computed tomography (CT) allowed for the preoperative discrimination of the invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules (pGGNs) and further to develop and… read more here.
Keywords: radiomics model; pure ground; invasiveness lung; clinical radiomics ... See more keywords
Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106018
Abstract: BACKGROUND AND OBJECTIVE The capability of deep learning radiomics (DLR) to extract high-level medical imaging features has promoted the use of computer-aided diagnosis of breast mass detected on ultrasound. Recently, generative adversarial network (GAN) has… read more here.
Keywords: radiomics model; breast ultrasound; breast; semi supervised ... See more keywords
A short-term follow-up CT based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer
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DOI: 10.1080/2162402x.2022.2028962
Abstract: ABSTRACT To develop a short-term follow-up CT-based radiomics approach to predict response to immunotherapy in advanced non-small-cell lung cancer (NSCLC) and investigate the prognostic value of radiomics features in predicting progression-free survival (PFS) and overall… read more here.
Keywords: predict response; response immunotherapy; delta radiomics; radiomics model ... See more keywords
A new radiomics approach combining the tumor and peri-tumor regions to predict lymph node metastasis and prognosis in gastric cancer
Sign Up to like & getrecommendations! Published in 2023 at "Gastroenterology Report"
DOI: 10.1093/gastro/goac080
Abstract: Abstract Objective The development of non-invasive methods for evaluating lymph node metastasis (LNM) preoperatively in gastric cancer (GC) is necessary. In this study, we developed a new radiomics model combining features from the tumor and… read more here.
Keywords: lymph node; tumor regions; tumor peri; peri tumor ... See more keywords
Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study
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DOI: 10.1097/cm9.0000000000002671
Abstract: Abstract Background: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL… read more here.
Keywords: pneumonia; pneumonia like; infectious pneumonia; cohort ... See more keywords
Radiomics approach based on biphasic CT images well differentiate “early stage” of adrenal metastases from lipid-poor adenomas: A STARD compliant article
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DOI: 10.1097/md.0000000000030856
Abstract: The aim of the study was to develop an optimal radiomics model based on abdominal contrast-enhanced computed tomography (CECT) for pre-operative differentiation of “early stage” adrenal metastases from lipid-poor adenomas (LPAs). This retrospective study included… read more here.
Keywords: early stage; stage adrenal; adrenal metastases; radiomics model ... See more keywords
Prognostic Value of the Radiomics-Based Model in the Disease-Free Survival of Pretreatment Uveal Melanoma: An Initial Result
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DOI: 10.1097/rct.0000000000001384
Abstract: Objective The aim of this study was to develop a pretreatment magnetic resonance imaging (MRI)–based radiomics model for disease-free survival (DFS) prediction in patients with uveal melanoma (UM). Methods We randomly assigned 85 patients with… read more here.
Keywords: free survival; radiomics model; disease free; model ... See more keywords
Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study
Sign Up to like & getrecommendations! Published in 2023 at "Journal for Immunotherapy of Cancer"
DOI: 10.1136/jitc-2022-006514
Abstract: Background Immune checkpoint inhibitors (ICIs)-based therapy, is regarded as one of the major breakthroughs in cancer treatment. However, it is challenging to accurately identify patients who may benefit from ICIs. Current biomarkers for predicting the… read more here.
Keywords: validation; model; radiomics model; treatment ... See more keywords
Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model.
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DOI: 10.1148/radiol.222729
Abstract: Background Prediction of microvascular invasion (MVI) may help determine treatment strategies for hepatocellular carcinoma (HCC). Purpose To develop a radiomics approach for predicting MVI status based on preoperative multiphase CT images and to identify MVI-associated… read more here.
Keywords: hepatocellular carcinoma; test set; test; model ... See more keywords