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Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression
Preclinical evaluation and preliminary clinical study of 68Ga-NODAGA-NM-01 for PET imaging of PD-L1 expression
Programmed cell death 1/programmed death ligand-1 (PD-L1)-based immune checkpoint blockade is an effective treatment appro...
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study
Nomogram based on dual-energy computed tomography to predict the response to induction chemotherapy in patients with nasopharyngeal carcinoma: a two-center study
Previous studies utilizing dual-energy CT (DECT) for evaluating treatment efficacy in nasopharyngeal cancinoma (NPC) are l...
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting
Optimisation of low and ultra-low dose scanning protocols for ultra-extended field of view PET in a real-world clinical setting
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially avail...
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature
Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature
The present study aimed to develop a nomogram model for predicting overall survival (OS) in esophageal squamous cell carci...
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery
The machine learning model, which has been widely applied in prognosis assessment, can comprehensively evaluate patient st...
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI
A deep learning model to enhance the classification of primary bone tumors based on incomplete multimodal images in X-ray, CT, and MRI
Accurately classifying primary bone tumors is crucial for guiding therapeutic decisions. The National Comprehensive Cancer...
Multimodal apparent diffusion MRI model in noninvasive evaluation of breast cancer and Ki-67 expression
Multimodal apparent diffusion MRI model in noninvasive evaluation of breast cancer and Ki-67 expression
To assess the capability of multimodal apparent diffusion (MAD) weighted magnetic resonance imaging (MRI) to distinguish b...
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer
Clinical value of SUVpeak-to-tumor centroid distance on FDG PET/CT for predicting neoadjuvant chemotherapy response in patients with breast cancer
Since it has been found that the maximum metabolic activity of a cancer lesion shifts toward the lesion edge during cancer...
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound
Qualitative and quantitative analysis of solid renal tumors by high-frame-rate contrast-enhanced ultrasound
To analyze the characteristics of high-frame-rate contrast-enhanced ultrasound (H-CEUS) in solid renal tumors using qualit...
Prognostic value of the tumor-to-liver density ratio in patients with metastatic colorectal cancer treated with bevacizumab-based chemotherapy. A post-hoc study of the STIC-AVASTIN trial
Prognostic value of the tumor-to-liver density ratio in patients with metastatic colorectal cancer treated with bevacizumab-based chemotherapy. A post-hoc study of the STIC-AVASTIN trial
The Response Evaluation Criteria in Solid Tumors (RECIST) are often inadequate for the early assessment of the response to...
CTR > 0.7 predicts the subgroup of lung adenocarcinomas ≤ 2 cm at risk of poor outcome treated by sublobar resection compared to lobar resection
CTR > 0.7 predicts the subgroup of lung adenocarcinomas ≤ 2 cm at risk of poor outcome treated by sublobar resection compared to lobar resection
A standard surgical procedure for patients with small early-stage lung adenocarcinomas remains unknown. Hence, we aim in t...
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function
Thoracic high resolution computed tomography evaluation of imaging abnormalities of 108 lung cancer patients with different pulmonary function
Preserved ratio impaired spirometry (PRISm) and chronic obstructive pulmonary disease (COPD) belong to lung function injur...
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype
Identification of T2W hypointense ring as a novel noninvasive indicator for glioma grade and IDH genotype
This study aimed to evaluate the T2W hypointense ring and T2-FLAIR mismatch signs in gliomas and use these signs to constr...
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk
MRI features and tumor-infiltrating CD8 + T cells-based nomogram for predicting meningioma recurrence risk
This study was based on MRI features and number of tumor-infiltrating CD8 + T cells in post-operative patholog...
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...
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