scholarly journals Detection of Lung Cancer Disease using Machine Learning

Cancer causes cell to split uncontrollably. Lung Cancer results in rapid cell growth and division of such infected cell, such growth of cells called tumor. Lung is the first organ where lung tumor begins and can spread to lymph nodes and so on. Early identification of lung cancer would facilitate in sparing a large no. of lives. If we compare death rates in any cancer then lung cancer has highest mortally rate. This article presents an automated web-based system for disease detection in lung using X-Ray images. To identify disease in lung in X-ray images, as it provides detailed picture and gives clear idea of lung in the body. For this project dataset of chest x-ray was taken from Kaggle. Using Mobile Net model we predicted the lung disease. Using this approach, we can early detect the disease present in lung which causes lung cancer

2021 ◽  
pp. BJGP.2021.0232
Author(s):  
Stephen H Bradley ◽  
Matthew Barclay ◽  
Benjamin Cornwell ◽  
Gary A Abel ◽  
Matthew Callister ◽  
...  

Background: Chest x-ray (CXR) is the first-line test for lung cancer in many settings. Previous research has suggested that higher utilisation of CXR is associated with improved outcomes. Aim: To explore the associations between characteristics of general practices and frequency of investigation with CXR. Design & Setting: Retrospective observational study of English general practices. Method: We constructed a database of English general practices containing number of CXRs requested and data on practices for 2018, including patient & staff demographics, smoking prevalence, deprivation and patient satisfaction indicators. Mixed effects Poisson modelling was used to account for variation due to chance and to estimate the amount of remaining variation that could be attributed to practice and population characteristics. Results: There was substantial variation in GP CXR rates (median 34 per 1000 patients, IQR 26-43). Only 18% of between-practice variance in CXR rate was accounted for by recorded characteristics. Higher practice scores for continuity and communication skills and higher proportions of smokers, Asian and mixed ethnic groups, and patients aged >65 were associated with increased CXR rates. Higher patient satisfaction scores for access and with greater proportions of male and patients of black ethnicity were associated with lower CXR rates. Conclusion: Substantial variation was found in CXR rates beyond that expected by chance, which could not be accounted for by practices’ recorded characteristics. Since other research has indicated that increasing CXR rates can lead to earlier detection, supporting practices which currently investigate infrequently could be an effective strategy to improve lung cancer outcomes.


Author(s):  
Petr Arkadievich Ilyin

Blood expectoration or hemoptysis is the coughing up of sputum with blood from the larynx, bronchi or lungs. Hemoptysis is most often caused by diseases of the respiratory tract and lungs — bronchitis or pneumonia, as well as lung cancer, aspergilloma, tuberculosis, bronchiectasis, pulmonary embolism, etc. In the diagnostic investigation of the cause of hemoptysis, it is important to take a detailed history (in the case of an epidemiological history, a laboratory analysis of the secreted sputum for the detection of the causative agent of an infectious disease is necessary), to make the correct interpretation of the patient’s complaints and an assessment of the nature of the sputum (differential diagnosis with bleeding from the upper gastrointestinal tract). A chest X-ray is performed and, then, if indicated, computed tomography, bronchoscopy, and other studies are made. The article presents an algorithm for differential diagnostic investigation of hemoptysis in a patient


2008 ◽  
Vol 149 (21) ◽  
pp. 975-982 ◽  
Author(s):  
Gábor Kovács

Magyarországon a gümőkór elleni szervezett küzdelem egyik legfontosabb eleme a mellkasi röntgenvizsgálaton alapuló évenkénti kötelező lakosságszűrés bevezetése volt. A hetvenes években megközelítően a teljes felnőttnépesség részt vett tüdőszűrésen. A tbc epidemiológiai helyzetének javulásával egyre nagyobb jelentőséggel bír a tüdőrákos betegeknek a szűrővizsgálat „melléktermékeként” történő korai felfedezése. A jövőben a kiemelési hatékonyság érdekében a súlyt a rizikócsoport vizsgálatára kell helyeznünk. Ez a tüdőrák esetében a negyvenévesnél idősebb dohányosok évenkénti ajánlott mellkasi röntgenvizsgálatát jelentheti. Az ajánlott vizsgálat előnyeinek bizonyítására elvégeztük a budapesti tüdőrák-prevalencia retrospektív elemzését. 2511 beteg adatai alapján megállapítottuk, hogy az öt évnél tovább élő tüdőrákos betegek 60%-át fedezték fel szűrővizsgálattal, szemben a panasszal felfedezettek 40%-ával. A szűréssel kiemeltek körében 34% volt az operábilitási ráta, míg a panasszal felfedezetteknek csak a 14%-át lehetett megoperálni. Megállapítottuk, hogy a radikális reszekciós műtét elvégzése valódi többlettúlélési esélyt jelent e betegek számára. Ezt az operált betegek kedvezőbb – három-négy éves – túlélése igazolja. Igaz ugyanakkor az is, hogy a későbbiekben, a kialakuló recidívák miatt a tüdőrák mortalitása nem javul a céllakosság körében. A jelenlegi kiemelési adatok ismeretében ez évente 5–600 beteg számára jelent reálisan többlettúlélési esélyt. Az ajánlott rizikócsoportok (>40 év, dohányosok) mellkasi röntgenvizsgálata esetén az operábilitási ráta további javulásával 1100–1200 beteg kaphatná meg ezt az esélyt.


Cancer ◽  
2000 ◽  
Vol 89 (S11) ◽  
pp. 2453-2456 ◽  
Author(s):  
Giampaolo Gavelli ◽  
Emanuela Giampalma

2018 ◽  
Vol 65 (3) ◽  
pp. 200-208 ◽  
Author(s):  
Nick Woznitza ◽  
Rebecca Steele ◽  
Keith Piper ◽  
Stephen Burke ◽  
Susan Rowe ◽  
...  
Keyword(s):  
X Ray ◽  

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