Neoplasia Diagnosis
Neoplasia Diagnosis - Related Videos
06:55
Diagnosis of Neoplasia in Barrett’s Esophagus using Vital-dye Enhanced Fluorescence Imaging
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Cited by 1 •
2014
Vital-dye enhanced fluorescence imaging (VFI) is a novel in vivo technique that combines high-resolution epithelial imaging with exogenous topical fluorescent contrast to highlight glandular morphology and delineate neoplasia (high grade dysplasia and cancer) in the distal esophagus.
06:15
Anterior High-Resolution Optical Coherence Tomography in the Diagnosis and Therapeutic Monitoring of Ocular Surface Squamous Neoplasia
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2024
Anterior segment high-resolution optical coherence tomography (HR-OCT) is a promising non-invasive modality for the diagnosis and therapeutic evaluation of ocular surface squamous neoplasia (OSSN). Here, the system setup, scanning technique, and representative diagnostic results are presented.
07:34
FISH for Pre-implantation Genetic Diagnosis
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Cited by 17 •
2011
This article describes the selection of suitable probes for single-cell FISH, spreading techniques for blastomere nuclei, and in situ hybridization and signal scoring, applied to pre-implantation genetic diagnosis (PGD) in a clinical setting.
03:05
Establishment and Evaluation of a Risk Prediction Model for Pathological Escalation of Gastric Low-Grade Intraepithelial Neoplasia
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Cited by 6 •
2024
Here, we performed a systematic evaluation of patients diagnosed with gastric low-grade intraepithelial neoplasia by previous endoscopic biopsy and obtained a pathological diagnosis by complete resection of the lesion by endoscopic submucosal dissection (ESD), analyzing factors that potentially increase the risk of pathological escalation.
01:22
Nursing Diagnosis
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2023
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems. The nursing diagnosis focuses on evidence-based...
FAQs
Each modality contributes a different layer of evidence. Imaging and physical assessment help identify and characterize a lesion, while tissue sampling permits evaluation of cellular architecture through histopathology. Molecular assays add information about genetic alterations, protein biomarkers, and proliferation patterns. Combining these results supports more informed classification than relying on a single type of observation.
Histopathology examines how cells and tissues are organized within a sampled lesion. That architectural information helps determine whether abnormal growth corresponds to a benign, premalignant, or malignant category. The classification has practical importance because it guides clinical management and provides a structured basis for integrating findings from imaging and molecular testing.
Molecular assays evaluate features that may not be apparent from physical assessment or tissue architecture alone. Depending on the assay, these features include genetic alterations, protein biomarkers, and patterns of cellular proliferation. Such measurements can strengthen tumor classification, support treatment selection, and help monitor disease progression when interpreted alongside other diagnostic evidence.
Microfluidic platforms are bioengineered systems that can support diagnostic analysis with improvements in sensitivity, speed, and standardization. Their value lies in helping organize or process diagnostic measurements in a more controlled format. Within neoplasia diagnosis, this can contribute to earlier detection and more consistent research or clinical evaluation when combined with appropriate biological measurements.
Computational image analysis extends the interpretation of visual and tissue-based information by supporting more standardized assessment of diagnostic images. In the context of neoplasia diagnosis, it can contribute to identifying and classifying abnormal findings while reducing dependence on inconsistent visual interpretation. This makes it relevant to efforts focused on sensitivity, reproducibility, and tumor characterization.
Biosensors and engineered tissue models provide bioengineering approaches for studying or detecting tumor-related features. Biosensors can support measurement of relevant biological signals, while engineered tissue models offer controlled systems for cancer research. Together with microfluidics and computational analysis, these tools can advance personalized research, improve diagnostic standardization, and support investigation of disease progression and treatment selection.