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SCI Abstract
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Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study
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Establishment of a deep-learning-assisted recurrent nasopharyngeal carcinoma detecting simultaneous tactic (DARNDEST) with high cost-effectiveness based on magnetic resonance images: a multicenter study in an endemic area
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The value of 18F-FDG PET/CT and 18F-DOPA PET/CT in determining the initial surgical strategy of patients with medullary thyroid cancer
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Assessment of intrahepatic cholangiocarcinoma with LI-RADS in the high-risk population: MRI diagnosis and postoperative survival
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Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning
Lung cancer (LC) is a leading cause of cancer-related mortality, and immunotherapy (IO) has shown promise in treating adva...
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CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions
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Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study
Lympho-vascular invasion (LVI) and perineural invasion (PNI) have been established as prognostic factors in various types ...
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-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
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Outstanding increase in tumor-to-background ratio over time allows tumor localization by [89Zr]Zr-PSMA-617 PET/CT in early biochemical recurrence of prostate cancer
Positron emission tomography/computed tomography (PET/CT) using prostate-specific membrane antigen (PSMA)-targeted radiotr...
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Patient eligibility for trials with imaging response assessment at the time of molecular tumor board presentation
To assess the eligibility of patients with advanced or recurrent solid malignancies presented to a molecular tumor board (...
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Whole-tumoral metabolic heterogeneity in 18F-FDG PET/CT is a novel prognostic marker for neuroblastoma
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Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities
With the increasing prevalence of nonsmoking-related lung cancer in Asia, Asian countries have increasingly adopted low-do...
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Thyroid imaging reporting and data system with MRI morphological features for thyroid nodules: diagnostic performance and unnecessary biopsy rate
To assess MRI-based morphological features in improving the American College of Radiology Thyroid Imaging Reporting and Da...
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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...
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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...
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Clinical application of machine learning models in patients with prostate cancer before prostatectomy
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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...
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Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
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Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas
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Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer
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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...
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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...
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Effect of preoperative PI-RADS assessment on pathological outcomes in patients who underwent radical prostatectomy
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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...
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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...
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Imaging glymphatic response to glioblastoma
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Head-to-head comparison of 18F-FAPI and 18F-FDG PET/CT in staging and therapeutic management of hepatocellular carcinoma
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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...
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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...
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