2021/07/28

Physicians' Expectations of DX in Clinical Practice (Series #3)

The first part: Diagnostic imaging system to assist the diagnosis of physicians

Patient data, Clinical Doctor, AI (Machine Learning, Deep Learning), Examination and Diagnosis

CT Image Reading Assistance: Advances in Technology

Imaging tests started with X-rays in the past, and now there are various tests such as CT, MRI, and nuclear medicine. They have evolved into various tests, some for morphological evaluation and others for functional studies.

height=288

CT scans are fulfilling the desire of medical professionals to diagnose diseases without having to do any surgery on the body. Since its development in 1968, CT scans have been improved to obtain more detailed images in less time and less radiation exposure. In the early days of CT, it took four minutes to produce two cross-sectional images. With the spiral rotation of the X-ray emitting tube and detector, called Helical Scanning, and the use of multiple sensors, called Multi-Slice, it became possible to scan from head to toe in tens of seconds. By administering a contrast agent through a vein, it is now possible to diagnose masses that are difficult to determine with ordinary CT, as well as the condition of the intestinal tract and the presence of blood flow. High-resolution CT is now indispensable for diagnosing lung diseases, as it can produce thinner and finer images. In recent years, it has become possible to create cross-sectional images and reconstruct them into three-dimensional images. Even organs that are constantly moving, such as the heart, can be reconstructed in three dimensions, making it possible to evaluate to some extent whether the coronary arteries, which are the feeding vessels of the heart, are thinning, without the need for cardiac catheterization. Even for the large intestine, which used to be detectable only by endoscopy, doctors can now examine patients for polyps and masses in a less painful way by reconstructing CT images in three dimensions.

(Continue to the next)


The information contained in this article is compiled by the respective authors based on publicly available information. We assume no responsibility whatsoever for any damage or disadvantage caused by actions taken based on such information. Unauthorized reproduction of articles, photos, charts, etc. is prohibited.
Copyright © 2021 LSMIP office / CM Plus Corporation

A Series of Articles

About the Author

Related Articles

No information is found.

Digital Health
U.S. eHealth Journal

Vol. 92 (Issued at 2023/07/25)

ジャーナル92号のトピックは、Sky Labs (韓国発スマートリング)、DUOS (高齢者のSDoHアンメットニーズ)、Uber Health (OTC医薬品の配送)、Hyro (ChatGPT基盤のコールセンターサービス) など

Most Popular

1

2

LSMIP Editorial Office

3

LSMIP Editorial Office

4

LSMIP Editorial Office

5

Internet Explorer - End Of Life

Press Room

Placeholder