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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.
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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.
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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.
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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.
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-62584-0
Abstract: This study aimed to develop an optimal radiomics model for preoperatively predicting microsatellite instability (MSI) in patients with rectal cancer (RC) based on multiparametric magnetic resonance imaging. The retrospective study included 308 RC patients who… read more here.
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72046-2
Abstract: The goal of our research is to elucidate and better assess placental function in rats with preeclampsia through an innovative application of ultrasound-based radiomics. Using a rat model induced with L-NAME, we carefully investigated placental… read more here.
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78245-1
Abstract: This study was performed to investigate the diagnostic value of radiomics models constructed by fat suppressed T2-weighted imaging (T2WI-FS) and contrast-enhanced T1-weighted imaging (CET1) based on magnetic resonance imaging (MRI) for differentiation of osteosarcoma (OS)… read more here.
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-14397-y
Abstract: Pancreatic ductal adenocarcinoma (PDAC) carries a dismal prognosis due to high post-resection recurrence, yet current prognostic tools inadequately capture systemic tumor-host interactions. This study developed and validated a novel CT-based body composition radiomics model for… read more here.
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Published in 2022 at "Oncoimmunology"
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.
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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.
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Published in 2023 at "Chinese Medical Journal"
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.