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Nuclear medicine imaging in non-seminomatous germ cell tumors: lessons learned from the past failures
Nuclear medicine imaging in non-seminomatous germ cell tumors: lessons learned from the past failures
There is an unmet need for a more accurate molecular imaging radiotracer in the field of non-seminomatous germ cell tumors...
Clinical significance of visual cardiac 18F-FDG uptake in advanced non-small cell lung cancer
Clinical significance of visual cardiac 18F-FDG uptake in advanced non-small cell lung cancer
Two-deoxy-2-[fluorine-18]-fluoro-d-glucose (18F-FDG) positron emission tomography (PET) is useful for detecting malignant ...
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics
Prediction of lateral lymph node metastasis with short diameter less than 8 mm in papillary thyroid carcinoma based on radiomics
The aim of this study was to establish an ensemble learning model based on clinicopathological parameter and ultrasound ra...
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)
A call for objectivity: Radiologists’ proposed wishlist for response evaluation in solid tumors (RECIST 1.1)
The Response Evaluation in Solid Tumors (RECIST) 1.1 provides key guidance for performing imaging response assessment and ...
Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR
Assessing the intracranial metabolic score as a novel prognostic tool in primary CNS lymphoma with end of induction-chemotherapy 18F-FDG PET/CT and PET/MR
The metabolic response of primary central nervous system lymphoma (PCNSL) patients has yet to be evaluated. This study aim...
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram
Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram
This study aims to construct predicting models using radiomic and clinical features in predicting first-line vascular endo...
A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma
A 18F-FDG PET/CT-based deep learning-radiomics-clinical model for prediction of cervical lymph node metastasis in esophageal squamous cell carcinoma
To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (DL) features extracted from 18F-flu...
Analysis of ultrasound and magnetic resonance imaging characteristics of kaposiform hemangioen dothelioma
Analysis of ultrasound and magnetic resonance imaging characteristics of kaposiform hemangioen dothelioma
The present study aims to investigate the ultrasound and magnetic resonance imaging (MRI) characteristics of kaposiform he...
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma
Multi-parameter MRI radiomics model in predicting postoperative progressive cerebral edema and hemorrhage after resection of meningioma
Postoperative progressive cerebral edema and hemorrhage (PPCEH) are major complications after meningioma resection, yet th...
Differentiation of pathological subtypes and Ki-67 and TTF-1 expression by dual-energy CT (DECT) volumetric quantitative analysis in non-small cell lung cancer
Differentiation of pathological subtypes and Ki-67 and TTF-1 expression by dual-energy CT (DECT) volumetric quantitative analysis in non-small cell lung cancer
To explore the value of dual-energy computed tomography (DECT) in differentiating pathological subtypes and the expression...
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations
Ultrasound-guided intra-tumoral administration of directly-injected therapies: a review of the technical and logistical considerations
Directly-injected therapies (DIT) include a broad range of agents within a developing research field in cancer immunothera...
Role of [18F]FDG PET/CT in the management of follicular cell-derived thyroid carcinoma
Role of [18F]FDG PET/CT in the management of follicular cell-derived thyroid carcinoma
Follicular cell-derived thyroid carcinomas constitute the majority of thyroid malignancies. This heterogeneous group of tu...
Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison
Cross-institutional evaluation of deep learning and radiomics models in predicting microvascular invasion in hepatocellular carcinoma: validity, robustness, and ultrasound modality efficacy comparison
To conduct a head-to-head comparison between deep learning (DL) and radiomics models across institutions for predicting mi...
Current trends in the characterization and monitoring of vascular response to cancer therapy
Current trends in the characterization and monitoring of vascular response to cancer therapy
Tumor vascular physiology is an important determinant of disease progression as well as the therapeutic outcome of cancer ...
MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy
MRI radiomics and nutritional-inflammatory biomarkers: a powerful combination for predicting progression-free survival in cervical cancer patients undergoing concurrent chemoradiotherapy
This study aims to develop and validate a predictive model that integrates clinical features, MRI radiomics, and nutrition...
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...
Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?
Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?
To compare the performance between one-slice two-dimensional (2D) and whole-volume three-dimensional (3D) computed tomogra...
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer
Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer
To explore the application value of a multimodal deep learning radiomics (MDLR) model in predicting the risk status of pos...
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...
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas
Application of preoperative advanced diffusion magnetic resonance imaging in evaluating the postoperative recurrence of lower grade gliomas
Recurrence of lower grade glioma (LrGG) appeared to be unavoidable despite considerable research performed in last decades...
-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
Gliomas and Glioblastomas represent a significant portion of central nervous system (CNS) tumors associated with high mort...
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
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...
Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study
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 ...
CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions
CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions
With the increasing incidence of renal lesions, pretreatment differentiation between benign and malignant lesions is cruci...
Personalized prediction of immunotherapy response in lung cancer patients using advanced radiomics and deep learning
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...
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications
Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications
Multimodal imaging unfolds as an innovative approach that synergistically employs a spectrum of imaging techniques either ...
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications
Immune-related [18F]FDG PET findings in patients undergoing checkpoint inhibitors treatment: correlation with clinical adverse events and prognostic implications
Direct comparisons between [18F]FDG PET/CT findings and clinical occurrence of immune-related adverse events (irAEs) based...
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET
Early treatment response assessment with [177Lu]PSMA whole-body-scintigraphy compared to interim PSMA-PET
Prostate-specific membrane antigen positron emission tomography (PSMA-PET) is an essential tool for patient selection befo...
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