scholarly journals Imaging and screening in lung cancer

2008 ◽  
Vol 2 (4) ◽  
pp. 193-203
Author(s):  
Matteo Giaj Levra ◽  
Marina Longo ◽  
Enrica Capelletto ◽  
Simonetta Grazia Rapetti ◽  
Silvia Novello

Lung cancer is the main cause of death for neoplasia in the world. Hence it’s growing the necessity to investigate screening tests to detect tumoral lesions at the early stages: several trials have been performed to establish the best method, target and frequence of the screening to offer. CT, X-ray, PET, sputum citology and CAD software are here analyzed, together with the associated statistics and bias.

2011 ◽  
Vol 6 ◽  
Author(s):  
Riccardo Pela

Lung cancer is the 10th ranking cause of death in the world: its incidence has reached a steady state in the male gender while it is still increasing in fe- males. Even if data are now available on lung can- cer screening with low-dose spiral computerized tomography [...]


Author(s):  
Mohd Hanafi Ahmad Hijazi ◽  
Leong Qi Yang ◽  
Rayner Alfred ◽  
Hairulnizam Mahdin ◽  
Razali Yaakob

Tuberculosis (TB) is one of the deadliest infectious disease in the world. TB is caused by a type of tubercle bacillus called Mycobacterium Tuberculosis. Early detection of TB is pivotal to decrease the morbidity and mortality. TB is diagnosed by using the chest x-ray and a sputum test. Challenges for radiologists are to avoid confused and misdiagnose TB and lung cancer because they mimic each other. Semi-automated TB detection using machine learning found in the literature requires identification of objects of interest. The similarity of tissues, veins and small nodules presenting the image at the initial stage may hamper the detection. In this paper, an approach to detect TB, that does not require segmentation of objects of interest, based on ensemble deep learning, is presented. Evaluation on publicly available datasets show that the proposed approach produced a model that recorded the best accuracy, sensitivity and specificity of 91.0%, 89.6% and 90.7% respectively.


2022 ◽  
pp. 128-147
Author(s):  
Rajani P. K. ◽  
Neha Motagi ◽  
Komal Nair ◽  
Rupali Narayankar

Corona is a pandemic disease and is spreading all over the world. There is also lack of corona virus detection machines. If it is detected at very early stages without pathological intervention, then further spreading of the disease can be controlled, and many of human lives can be saved. So, the proposed biomedical device can be used for fast and accurate prediction of COVID-19 from chest x-rays. X-ray can also be taken from anywhere and sent through any communication medium. Even if error is added, it can be removed using error concealment algorithms. Automated AI-based systems will be used for prediction of normal, COVID-19, and pneumonic cases from x-ray images. It makes detection of COVID-19 infection less costly and portable. This device can be stored in less stringent conditions, making it more effective.


2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Pazos CP ◽  
de Alejo Alema AP ◽  
Hernandez IDG ◽  
Penton CRC ◽  
de Alejo Plain AP

Lung cancer is the most common neoplasm and one of the deadliest in the world. A clinical case of a 74-year-old patient with a history of being a former smoker is presented. He comes in with a dry cough, fever of 38.5°C and tiredness. The physical examination revealed the respiratory system: slightly decreased vesicular murmur towards the right parailiary region with the presence of crackles at that level. A Chest X-ray is performed, observing an image of inflammatory condensation towards the right iliary region; it is treated as bronchopneumonia worsening the clinical state. A thoracentesis is performed with extraction of pleural fluid for cytohistological study. The cytohistological study diagnosed adenocarcinoma-type non-small cell lung cancer. The patient died before starting cancer treatment. The bronchopneumonic form of lung cancer is not the most frequent, but it is one of the forms that most masks the picture.


2018 ◽  
Vol 3 (2) ◽  
pp. 76
Author(s):  
Novi Anggun Pusvitasary

Pneumonia disease is the leading cause of death of babies in the world. The prevalence of pneumonia in infants is 18.5 / mil. Data from Samarinda City Health Office during the last 1 year there are 91 cases of pneumonia in Karang Anyar Village and 63 cases in Teluk Lerong Ulu Village. Factors causing pneumonia are toddler factors, behavioral factors, and environmental factors. The results show there is a relationship between house humidity (p value = 0,013; OR = 0,192), house dwelling density (p value = 0,024; OR = 0,214), and family member smoking behavior (p value = 0,006; OR = 10,450) with incidence of pneumonia in toddlers in the Working Area of Puskesmas Wonorejo Samarinda. There was no correlation between house temperature (p value = 0,214; OR = 0,337), house lighting (p value = 0,095; OR = 3,188) and family disease history (p value = 0,707; OR = 0,753) with Pneumonia occurrence in infant in region Work Puskesmas Wonorejo Samarinda. It was concluded that there was a relationship between house humidity, home dwelling density, and smoking behavior of family members with the incidence of pneumonia in infants. It is recommended to be able to apply housing health requirements that meet health standards to reduce the incidence of pneumonia in infants and change smoking habits.


1968 ◽  
Vol 13 (10) ◽  
pp. 338-348
Author(s):  
A. J. Haddow

Cancer, responsible for about 1 death in 5 in Scotland, cost over £1 per head of population in 1965 and led to bed occupation of almost 2,000 bed years. Time lag (symptoms-doctor-hospital-treatment) is usuallv small. Age distribution is as in other European countries. Excluding accidents, cancer is the second most important cause of death in children. In relation to other countries Scotland's position is very poor and the lung cancer mortality in both sexes is the highest known. Lung cancer is the most important in males, breast cancer in females. Alimentary cancers come second in both sexes. In this century alimentary cancers increased till the thirties or forties and then declined. Cancers of pancreas, cervix uteri, ovary, prostate, kidney and bladder, together with leukaemia, have all increased. Cancer of the lung has increased elevenfold in women and fiftyfold in men. It now accounts for 9 to 12 per cent of all male deaths in cities and large towns


Crystals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 218
Author(s):  
Carlos Alberto Ríos-Reyes ◽  
German Alfonso Reyes-Mendoza ◽  
José Antonio Henao-Martínez ◽  
Craig Williams ◽  
Alan Dyer

This study reports for the first time the geologic occurrence of natural zeolite A and associated minerals in mudstones from the Cretaceous Paja Formation in the urban area of the municipality of Vélez (Santander), Colombia. These rocks are mainly composed of quartz, muscovite, pyrophyllite, kaolinite and chlorite group minerals, framboidal and cubic pyrite, as well as marcasite, with minor feldspar, sulphates, and phosphates. Total organic carbon (TOC), total sulfur (TS), and millimeter fragments of algae are high, whereas few centimeters and not biodiverse small ammonite fossils, and other allochemical components are subordinated. Na–A zeolite and associated mineral phases as sodalite occur just beside the interparticle micropores (honeycomb from framboidal, cube molds, and amorphous cavities). It is facilitated by petrophysical properties alterations, due to processes of high diagenesis, temperatures up to 80–100 °C, with weathering contributions, which increase the porosity and permeability, as well as the transmissivity (fluid flow), allowing the geochemistry remobilization and/or recrystallization of pre-existing silica, muscovite, kaolinite minerals group, salts, carbonates, oxides and peroxides. X-ray diffraction analyses reveal the mineral composition of the mudstones and scanning electron micrographs show the typical cubic morphology of Na–A zeolite of approximately 0.45 mμ in particle size. Our data show that the sequence of the transformation of phases is: Poorly crystalline aluminosilicate → sodalite → Na–A zeolite. A literature review shows that this is an unusual example of the occurrence of natural zeolites in sedimentary marine rocks recognized around the world.


2021 ◽  
Vol 103 (2) ◽  
Author(s):  
R. C. Shah ◽  
S. X. Hu ◽  
I. V. Igumenshchev ◽  
J. Baltazar ◽  
D. Cao ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 97
Author(s):  
Rakhmetkazhy Bersimbaev ◽  
Olga Bulgakova ◽  
Akmaral Aripova ◽  
Assiya Kussainova ◽  
Oralbek Ilderbayev

MicroRNAs are a class of small noncoding endogenous RNAs 19–25 nucleotides long, which play an important role in the post-transcriptional regulation of gene expression by targeting mRNA targets with subsequent repression of translation. MicroRNAs are involved in the pathogenesis of numerous diseases, including cancer. Lung cancer is the leading cause of cancer death in the world. Lung cancer is usually associated with tobacco smoking. However, about 25% of lung cancer cases occur in people who have never smoked. According to the International Agency for Research on Cancer, asbestos has been classified as one of the cancerogenic factors for lung cancer. The mechanism of malignant transformation under the influence of asbestos is associated with the genotoxic effect of reactive oxygen species, which initiate the processes of DNA damage in the cell. However, epigenetic mechanisms such as changes in the microRNA expression profile may also be implicated in the pathogenesis of asbestos-induced lung cancer. Numerous studies have shown that microRNAs can serve as a biomarker of the effects of various adverse environmental factors on the human body. This review examines the role of microRNAs, the expression profile of which changes upon exposure to asbestos, in key processes of carcinogenesis, such as proliferation, cell survival, metastasis, neo-angiogenesis, and immune response avoidance.


Sign in / Sign up

Export Citation Format

Share Document