Results 91 to 100 of about 2,211,422 (308)
Scar sarcoidosis: A rare entity found by 18F-FDG-PET/CT
18F-labeled fluoro-2-positron deoxyglucose emission tomography/computed tomography has been widely used in malignancy assessment, however, is not tumor-specific and may be taken up by non-malignant conditions such as sarcoidosis.
M. Vidal, MD, PhD +4 more
doaj +1 more source
An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source
This review of the status and challenges of diagnosis of lymph node metastasis in colon cancer suggests that it is currently difficult to establish strict criteria for lymph node metastasis, indicating only moderate diagnostic performance. ABSTRACT Background Accurate pre‐treatment evaluation of lymph node metastasis (LNM) in colon cancer is important ...
Shimpei Ogawa +4 more
wiley +1 more source
M2BPGi reflects background liver fibrosis and hepatic functional impairment. PET SUVmax reflects tumor metabolic aggressiveness. Their combination identifies a dual‐high subgroup with the poorest recurrence‐free and overall survival. ABSTRACT Aim To evaluate the prognostic significance of preoperative Mac‐2 binding protein glycosylation isomer (M2BPGi)
Kojiro Shirabe +8 more
wiley +1 more source
Recent developments in multimodality fluorescence imaging probes
Multimodality optical imaging probes have emerged as powerful tools that improve detection sensitivity and accuracy, important in disease diagnosis and treatment. In this review, we focus on recent developments of optical fluorescence imaging (OFI) probe
Jianhong Zhao +7 more
doaj +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Introduction 18-Fluorodeoxyglucose positron emission tomography can detect the pulmonary involvement of intravascular lymphoma that presents no abnormality in a computed tomography scan.
Hayashi Katsumi +9 more
doaj +1 more source
A Conceptual Model of Dual-Mode Tomography Technique for Dental Diagnostics
Monitoring changes intooth structures and early diagnosis of carious lesions require quantitative imaging techniques. A chalky white spot on the tooth’s surface indicates enamel demineralization, early stage of thecarious lesion.
Nur Syafiqah Amirah Ab Sukor +5 more
core
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
The Utility of [18]F-Fluorocholine Positron Emission Computed Tomography and [18]F-Fluorodeoxyglucose Positron Emission Tomography–Computed Tomography in Evaluating Breast Cancer Phenotypes: A Pilot Study [PDF]
Background: The utility of the [18]F fluorodeoxyglucose positron emission tomography–computed tomography ([18]F FDG PET-CT) marker for breast cancer is well established. Given its limitations in localizing FDG-negative malignant tumors, the expression of
Shaharudin, Shazreen +5 more
core +1 more source

