Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)

Detection and Characterization of Lung Cancer using CT Scan Technology

Authors
Lilik Lestari1, *, Susilo Susilo2
1Lung Hospital dr. Ario Wirawan, Salatiga, Indonesia
2Physics Department, Semarang State University (UNNES), Indonesia
*Corresponding author. Email: liliklestarirspaw@gmail.com
Corresponding Author
Lilik Lestari
Available Online 25 May 2022.
DOI
https://doi.org/10.2991/apr.k.220503.019How to use a DOI?
Keywords
CT Scan; Lung Cancer; adenocarcinoma; squamous; liver metastases; metastatic brain tumors
Abstract

Today, lung cancer is one of the deadliest diseases in the world, with an early sign of Lung Nodule. One of the standard procedures to detect it is a radiological examination using Computed Tomography (CT) Scan technology. This study aims to describe the use of CT Scan to detect the presence of lung cancer. This research uses Philips CT Scan 16 Slice Model MX16 Evo2 and Philips CT Scan 128 Slide Model Ingenuity Core 128. The procedure includes the collection of CT Scan tomographic image data and then the reading of the data by a radiologist. Based on the diagnosis, the results found that lung cancer types of adenocarcinoma, squamous, liver metastases, and metastatic brain tumors. The conclusion states that CT Scan is effectively used to detect the presence of lung cancer.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)
Series
Advances in Physics Research
Publication Date
25 May 2022
ISBN
978-94-6239-579-4
ISSN
2352-541X
DOI
https://doi.org/10.2991/apr.k.220503.019How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Lilik Lestari
AU  - Susilo Susilo
PY  - 2022
DA  - 2022/05/25
TI  - Detection and Characterization of Lung Cancer using CT Scan Technology
BT  - Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)
PB  - Atlantis Press
SP  - 91
EP  - 94
SN  - 2352-541X
UR  - https://doi.org/10.2991/apr.k.220503.019
DO  - https://doi.org/10.2991/apr.k.220503.019
ID  - Lestari2022
ER  -