What is HRCT? How we do HRCT? HRCT chest findings.

 

What is HRCT?

 Full form:- high-resolution computed Tomography.

        High-resolution computed Tomography is a type of computed Tomography with specific technique to enhance image resolution. It is used in the diagnosis of various health problems, through Most commonly for lung disease of the lung parenchyma.

How is HRCT done?

       The high resolution computed Tomography of the chest is an imaging procadure that used marrow beams of ray to create a high resolution image of the lung anatomy.

Why we do HRCT ?

      They can give more details about injuries or diseases of the chest organs. In a CT scan, an a x-ray beam moves in a circle around patient body. It takes many pictures, called slices, of the lungs and inside the chest. A computer processes this picture and display it on monitor.

HRCT findings:-

• Lungs disease
• Pneumonia
• COVID pneumonia
• TB (tuberculosis)
• Effusion
• Tumour ( beniane are non cancerus, malignant  tumor are cancerus)
• Bone abnormalities
• Joint abnormalities

COVID 19 directly affect the lungs and damages the alveoli (tiny air sacs).

Windows Appering on CT chest:-

There are two windows first mediastinal and second lung window.

Mediastinal :-

Mediastinum window HRCT chest

         In the mediastinal windows the lungs are over exposed and simply appear in Black. This algorithm is used to assess chest wall and mediastinal stracture, usually with intravenous contrast so that vascular structures. In the mediastinal can be distinguished from enlarged lymph nodes.

Lungs window:-

Lungs windows in HRCT chest

       A lung window is used to view lung parenchyma (JU IS -500) would be within range, appearing grey. Air pocket (HU -1000) around the lung, such as pneumothorax or bullar, would appear Black, thus allowing clear differentiation.

3D lung image:- three dimensional computerized segmentation of lung volume with computed Tomography.

CT lung 3D view

     Three dimensional (3D) based detection and diagnosis has an important role for significantly improving the detection and diagnosis of lung cancer upon computed Tomography.