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Endotracheal Tube Extubation01:24

Endotracheal Tube Extubation

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Endotracheal tube extubation is a critical procedure in weaning patients from mechanical ventilation. It involves physically removing the oral or nasal endotracheal (ET) tube, marking the final step in liberating a patient from ventilatory support.
Procedure
Extubation removes the endotracheal tube (ETT) from the patient on mechanical ventilation. It requires a well-coordinated, multidisciplinary approach involving physicians, nurses, respiratory therapists, and other healthcare professionals....
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Endotracheal Intubation I: Procedure01:15

Endotracheal Intubation I: Procedure

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Endotracheal or ET intubation is a critical medical procedure used to secure a patient's airway, often in acute respiratory distress, apnea, upper airway obstruction, ineffective clearance of secretions, high risk for aspiration, or during general anesthesia.
The ET tube comprises various components, including a standard adaptor to attach a bag-valve-mask (BVM) or ventilator, a cuff, a pilot balloon, and radiopaque markings along its length to measure the insertion distance. The tube sizes...
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Endotracheal Intubation II: Nursing Management01:17

Endotracheal Intubation II: Nursing Management

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Endotracheal intubation is a critical procedure that can be lifesaving for many patients with respiratory distress or failure. The role of nursing in managing endotracheal tubes is pivotal, as it involves pre-intubation preparation, assisting during the procedure, and post-extubation care.
1. Nursing Care of Patients Before Intubation
Before the endotracheal intubation procedure, nurses play an essential role in ensuring the process goes smoothly. The nurses must be familiar with intubation...
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Tracheostomy: Procedure and Tubes01:28

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A tracheostomy is a surgical procedure that creates an artificial opening into the trachea, typically at the second or third cartilaginous ring level. This opening allows the insertion of a tracheostomy tube, which can replace an endotracheal tube, provide mechanical ventilation, bypass an upper airway obstruction, or remove accumulated tracheobronchial secretions.
Tracheostomy tubes can be made of semiflexible plastic (polyurethane or silicone), rigid plastic, or metal, and they come in...
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Tracheostomy Suctioning I: Pre-Procedural Steps01:26

Tracheostomy Suctioning I: Pre-Procedural Steps

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Tracheostomy suctioning is a critical procedure healthcare professionals perform to maintain a patent airway in patients with a tracheostomy tube. This procedure is necessary when secretions accumulate in the airway, causing respiratory distress. Here is a step-wise procedural guide for performing tracheostomy suctioning using an open system.
Equipment Required
First, gather all necessary equipment: a sterile suction catheter, a sterile disposable container, sterile gloves, a towel or...
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Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques01:30

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques

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Airway management is essential in emergency and surgical medicine, ensuring ventilation and oxygenation in patients who cannot maintain their own airway. Clinicians use a range of techniques and devices to secure the airway, depending on the patient’s condition and the clinical context. Key methods include endotracheal intubation, rapid sequence intubation (RSI), supraglottic airway devices, and advanced visualization aids. In cases where these approaches fail, surgical airway...
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Related Experiment Video

Updated: Oct 27, 2025

Image Acquisition using Portable Sonography for Emergency Airway Management
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Using Deep Learning Segmentation for Endotracheal Tube Position Assessment.

William G Schultheis1, Paras Lakhani1,2

  • 1Sidney Kimmel Medical College, Thomas Jefferson University.

Journal of Thoracic Imaging
|July 22, 2021
PubMed
Summary

Deep learning segmentation accurately measures endotracheal tube (ETT) position on chest x-rays (CXRs). The U-NET model demonstrated reliability comparable to radiologists in assessing ETT-carina distance.

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Accurate endotracheal tube (ETT) placement is crucial for patient care.
  • Assessing ETT position on chest x-rays (CXRs) typically relies on manual interpretation by radiologists.

Purpose of the Study:

  • To evaluate the efficacy of a deep learning segmentation model for determining endotracheal tube (ETT) position on frontal chest x-rays (CXRs).

Main Methods:

  • A U-NET deep learning architecture was developed to segment pixels belonging to the ETT and carina on 936 retrospective CXRs.
  • The model's performance was validated against measurements from two radiologists on internal and external test datasets.

Main Results:

  • The U-NET model achieved mean absolute differences of 0.60±0.61 cm (internal) and 0.48±0.47 cm (external) compared to radiologist measurements.
  • Interclass correlation coefficients were high, indicating excellent agreement: 0.87 (internal) and 0.92 (external).

Conclusions:

  • The U-NET deep learning model shows excellent reliability and performance for assessing endotracheal tube (ETT)-carina distance on CXRs.
  • This AI approach offers a viable, radiologist-level alternative for ETT position assessment.