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Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study
Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study
The clinical application of artificial intelligence (AI) models based on breast ultrasound static images has been hindered...
Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system
Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system
This study aimed to evaluate the effectiveness of using a radiomics model to predict extraprostatic extension (EPE) in pro...
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study
Thermal ablation for pulmonary oligometastases from hepatocellular carcinoma: initial experience and retrospective study
To evaluate the long-term efficacy of thermal ablation in the treatment of pulmonary oligometastases (POs) from hepatocell...
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule
Efficacy and safety in synchronous core-needle biopsy and cryoablation for highly suspicious malignant pulmonary nodule
Percutaneous computed tomography (CT)-guided biopsy and cryoablation are commonly used techniques for diagnosing and treat...
CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery
CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery
Intraoperative bleeding is a serious complication of spinal tumor surgery. Preoperative identification of patients at high...
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy
The detection of local recurrence for prostate cancer (PCa) patients following radical prostatectomy (RP) is challenging a...
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals
Whole-body magnetic resonance imaging (WB-MRI) has emerged as a valuable tool for cancer detection. This study evaluated t...
Clinical application of machine learning models in patients with prostate cancer before prostatectomy
Clinical application of machine learning models in patients with prostate cancer before prostatectomy
To build machine learning predictive models for surgical risk assessment of extracapsular extension (ECE) in patients with...
Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma
Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma
Tumor spread through air spaces (STAS) is associated with poor prognosis and impacts surgical options. We aimed to develop...
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
To investigate the association between Kirsten rat sarcoma viral oncogene homolog (KRAS) / neuroblastoma rat sarcoma viral...
Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
The consistency of meningiomas is critical to determine surgical planning and has a significant impact on surgical outcome...
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer
Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer
The correlation between the preoperative splenic area measured on CT scans and the overall survival (OS) of early-stage no...
Growth characteristics of early-stage (IA) lung adenocarcinoma and its value in predicting lymph node metastasis
Growth characteristics of early-stage (IA) lung adenocarcinoma and its value in predicting lymph node metastasis
We aim to compare the differences in growth characteristics between part-solid and solid lung adenocarcinoma, and to inves...
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient
This study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based...
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy
Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy
To assess the effect of preoperative MRI with standardized Prostate Imaging–Reporting and Data System (PI-RADS) asse...
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC
Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC
To predict the microvascular invasion (MVI) in patients with cHCC-ICC. A retrospective analysis was conducted on 119 patie...
Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection
Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, whi...
Imaging glymphatic response to glioblastoma
Imaging glymphatic response to glioblastoma
The glymphatic system actively exchanges cerebrospinal fluid (CSF) and interstitial fluid (ISF) to eliminate toxic interst...
Head-to-head comparison of 18F-FAPI and 18F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma
Head-to-head comparison of 18F-FAPI and 18F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma
Fluorine 18 (18F) fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) has limitations in st...
Evaluating the value of 18F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard
Evaluating the value of 18F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard
Prostate-specific membrane antigen (PSMA) PET/CT is a highly regarded radionuclide imaging modality for prostate cancer (P...
Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy
Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy
To investigate the value of [18F]FDG-PET/MRI in predicting treatment response and survival in patients with primary M0 eso...
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI
Evaluating residual tumor after neoadjuvant chemotherapy for muscle-invasive urothelial bladder cancer: diagnostic performance and outcomes using biparametric vs. multiparametric MRI
Neoadjuvant chemotherapy (NAC) before radical cystectomy is standard of care in patients with muscle-invasive bladder canc...
Prognostic value of MRI volumetric parameters in non-small cell lung cancer patients after immune checkpoint inhibitor therapy: comparison with response assessment criteria
Prognostic value of MRI volumetric parameters in non-small cell lung cancer patients after immune checkpoint inhibitor therapy: comparison with response assessment criteria
Accurate response parameters are important for patients with brain metastasis (BM) undergoing clinical trials using immuno...
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study
Intratumoral and peritumoral MRI-based radiomics prediction of histopathological grade in soft tissue sarcomas: a two-center study
This study aims to develop a model based on intratumoral and peritumoral radiomics from fat-suppressed T2-weighted(FS-T2WI...
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas
A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas
The anatomical infiltrated brain area and the boundaries of gliomas have a significant impact on clinical decision making ...
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy
Nomograms integrating CT radiomic and deep learning signatures to predict overall survival and progression-free survival in NSCLC patients treated with chemotherapy
This study aims to establish nomograms to accurately predict the overall survival (OS) and progression-free survival (PFS)...
Renal protection CT protocol using low-dose and low-concentration iodine contrast medium in at-risk patients of HCC and with chronic kidney disease: a randomized controlled non-inferiority trial
Renal protection CT protocol using low-dose and low-concentration iodine contrast medium in at-risk patients of HCC and with chronic kidney disease: a randomized controlled non-inferiority trial
Although efforts have been made to reduce the dose of Contrast Medium (CM) to improve patient safety, there are ongoing co...
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer
Accuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal ...
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning
Tumor classification of gastrointestinal liver metastases using CT-based radiomics and deep learning
The goal of this study is to demonstrate the performance of radiomics and CNN-based classifiers in determining the primary...
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma
Reproducibility and usefulness of quantitative apparent diffusion coefficient measurements for predicting program death-ligand 1 expression in nasopharyngeal carcinoma
Accurate assessment of programmed death-ligand 1 (PD-L1) expression status in nasopharyngeal carcinoma (NPC) before immuno...
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