Bronchogenic Carcinoma Staging
Bronchogenic Carcinoma Staging - Related Videos
07:13
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Cited by 1 •
2025
This study evaluates prognostic systems for colorectal signet-ring cell carcinoma patients using machine learning models and competing risk analyses. It identifies log odds of positive lymph nodes as a superior predictor compared to pN staging, demonstrating strong predictive performance and aiding clinical decision-making through robust survival prediction tools.
07:48
Coculture System with an Organotypic Brain Slice and 3D Spheroid of Carcinoma Cells
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Cited by 32 •
2013
The organotypic brain slice coculture with carcinoma cells enables visualizing morphological changes by fluorescence as well as bright field (video) microscopy during the process of carcinoma cell invasion of brain tissue. This model system also allows for cell exchange and replenishment approaches and offers a wide variety of manipulations and analyses.
05:06
A "Patient-Like" Orthotopic Syngeneic Mouse Model of Hepatocellular Carcinoma Metastasis
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Cited by 2 •
2015
The metastatic spread of cancer is the major cause of cancer-related deaths. We provide an in-depth description of our survival surgery methodology for establishing a “patient-like” orthotopic syngeneic mouse model system for studying the mechanisms of metastasis in solid organ tumors.
15:43
Experimental Generation of Carcinoma-Associated Fibroblasts (CAFs) from Human Mammary Fibroblasts
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Cited by 25 •
2011
Carcinoma-associated fibroblasts (CAFs) rich in myofibroblasts present within the tumour stroma, play a major role in driving tumour progression. We developed a coimplantation tumour xengraft model for experimentally generating CAFs from human mammary fibroblasts. The protocol describes how to establish CAF myofibroblasts that acquire an ability to promote tumourigenesis.
07:01
An Orthotopic Mouse Model of Anaplastic Thyroid Carcinoma
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Cited by 10 •
2013
Generation of an orthotopic mouse model of anaplastic thyroid carcinoma is described here. This technique employs surgical placement of human anaplastic thyroid cancer cells into the thyroid of immunodeficient mice, thus creating a more clinically relevant setting to study disease progression as well as screen innovative therapeutic interventions.
FAQs
Clinicians interpret the primary tumor, regional lymph-node involvement, and distant metastasis together rather than treating any finding in isolation. This combined assessment produces an overall stage that represents the cancer’s extent more completely. The resulting classification supports prognosis, guides treatment selection, and gives clinical teams a consistent framework for discussing the patient’s condition.
Regional lymph-node disease and distant metastasis describe different patterns of spread, so separating them preserves clinically important information within the TNM assessment. Their distinction contributes to the overall stage and can influence whether clinicians consider surgery, radiation, systemic therapy, or a combined approach. It also helps teams communicate the cancer’s distribution more precisely.
These investigations provide complementary evidence for assigning the TNM categories. Imaging contributes to assessment of the tumor and possible spread, while bronchoscopy, biopsy, and surgical evaluation provide additional direct clinical or tissue-based findings. Bringing these sources together allows clinicians to characterize local disease, regional nodes, and distant involvement before determining an overall stage.
The process begins by gathering findings from relevant imaging and clinical investigations, including bronchoscopy and biopsy when indicated, with surgical evaluation also contributing when available. Clinicians then characterize the primary tumor, regional lymph nodes, and distant disease using the TNM framework. These individual assessments are combined into an overall stage for clinical decision-making.
Staging becomes especially important when clinicians compare the extent of disease with available treatment strategies. The resulting stage helps determine whether surgery, radiation, systemic therapy, or a combination is appropriate. Because it also conveys prognosis, staging supports discussions among clinical teams and provides a structured basis for selecting and coordinating management.
An overall stage links the documented extent of cancer with expectations about prognosis and creates a common language for clinical teams. Using the same framework also makes outcomes more meaningfully comparable across patients and studies. In thoracic oncology research, this standardization supports evaluation of treatment results and clearer communication of disease characteristics.