scholarly journals Clinical Relevance of Sputum Cytology and Chest X-Ray in Patients with Suspected Lung Tumors

2008 ◽  
Vol 47 (13) ◽  
pp. 1199-1205 ◽  
Author(s):  
Mitsuhiro Sumitani ◽  
Nobuhide Takifuji ◽  
Shigeki Nanjyo ◽  
Yumiko Imahashi ◽  
Hidemi Kiyota ◽  
...  
Keyword(s):  
Clinical Relevance ◽  
Lung Tumors ◽  
Sputum Cytology ◽  
X Ray ◽  
Chest X Ray

Clinical relevance of the routine daily chest X-Ray in the surgical intensive care unit

2017 ◽  
Vol 214 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Shelby Resnick ◽  
Kenji Inaba ◽  
Efstathios Karamanos ◽  
Dimitra Skiada ◽  
James A. Dollahite ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Relevance ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
X Ray ◽  
Chest X Ray

Screening for Lung Cancer With Low-Dose Helical Computed Tomography: Anti-Lung Cancer Association Project

2002 ◽  
Vol 20 (4) ◽  
pp. 911-920 ◽  
Author(s):  
Tomotaka Sobue ◽  
Noriyuki Moriyama ◽  
Masahiro Kaneko ◽  
Masahiko Kusumoto ◽  
Toshiaki Kobayashi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Lung Cancer ◽  
Low Dose ◽  
Helical Ct ◽  
Helical Computed Tomography ◽  
Tumor Diameter ◽  
Sputum Cytology ◽  
X Ray ◽  
Chest X Ray ◽  
Stage Ia

PURPOSE: Because efficacy of lung cancer screening using chest x-ray is controversial and insufficient, other screening modalities need to be developed. To provide data on screening performance of low-dose helical computed tomography (CT) scanning and its efficacy in terms of survival, a one-arm longitudinal screening project was conducted. PATIENTS AND METHODS: A total of 1,611 asymptomatic patients aged 40 to 79 years, 86% with smoking history, were screened by low-dose helical CT scan, chest x-ray, and 3-day pooled sputum cytology with a 6-month interval. RESULTS: At initial screening, the proportions of positive tests were 11.5%, 3.4%, and 0.8% with low-dose helical CT scan, chest x-ray, and sputum cytology, respectively. In 1,611 participants, 14 (0.87%) cases of lung cancer were detected, with 71% being stage IA disease and a mean tumor diameter of 19.8 mm. At repeated screening, the proportions of positive tests were 9.1%, 2.6%, and 0.7% with low-dose helical CT, chest x-ray, and sputum cytology, respectively. In 7,891 examinations, 22 (0.28%) cases of lung cancer were detected, with 82% being stage IA disease and a mean tumor diameter of 14.6 mm. The 5-year survival rate for screen-detected lung cancer was 76.2% and 64.9% for initial and repeated screening, respectively. CONCLUSION: Screening with low-dose helical CT has potential to improve screening efficacy in terms of reducing lung cancer mortality. An evaluation of efficacy using appropriate methods is urgently required.

scholarly journals Sensitivity and Specificity of Lung Cancer Screening with Sputum Cytology and Chest X-Ray Film in a High Risk Group.

Haigan ◽  
1994 ◽  
Vol 34 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Motoyasu Sagawa ◽  
Yasuki Saito ◽  
Satomi Takahashi ◽  
Chiaki Endo ◽  
Katsuo Usuda ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Screening ◽  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Group ◽  
Lung Cancer Screening ◽  
High Risk Group ◽  
Sputum Cytology ◽  
X Ray ◽  
Chest X Ray

Clinical, radiographic features and histopathology classification of lung cancer

2019 ◽  
pp. 81-88
Author(s):  
Van Mao Nguyen ◽  
Quang Tan Vo
Keyword(s):  
Lung Cancer ◽  
Computerized Tomography ◽  
Squamous Carcinoma ◽  
Lung Tumors ◽  
Rapid Weight Loss ◽  
Moderate Correlation ◽  
Ct Scanner ◽  
X Ray ◽  
Chest X Ray

Background: Lung cancer is one of the most frequently occurring neoplasms and usually has poor prognosis in the world as well as in Vietnam. Clinical signs and symptoms, chest X-ray, CT-Scanner only have a role to guide the diagnosis. Histopathology helps to diagnose and classify some of histological types of lung cancer. Objectives: 1. To describe some clinical features and radiographic pulmonary lesions in patients with primary malignant lung tumors. 2. To diagnose and classify histopathological types of lung cancer and to initially determine immunohistochemical markers exposure in the 2015 WHO classification of lung tumors. Materials and Methods: Cross-sectional research on 80 patients diagnosed by chest X-ray, CT Scanner and histopathology at the Hospital of Hue University of Medicine and Pharmacy and at the Hue Central Hospital from 4.2018 to 4.2019. Results: Chronic coughing was the most common chief complain (58.8%). Frequent respiratory symptoms were chronic coughing (81.3%), chest pain (60%). The most frequent mediastinal symptom was apnea (28.8%). Majority of patients presented general symptoms such as malaise (80%), rapid weight loss (43.8%). The percentage of bone metastasis was 20% and that of peripheral lymph node metastasis was 17.5%. Most cases (90%) had a single tumor and 57.5% of total cases have tumors that were 3 to 6 cm in size. Lesions in left and right lung had similar proportions which were evenly distributed throughout the lung lobes. Regarding to clinical stages, most of cases were in stage IIIA and above (93.7%). Epithelial carcinoma accounted for the highest number (67.5%), squamous carcinoma contributed 22.5% and others were responsible for low rates. Epithelial carcinoma had high positive rates for CK AE1/3, CK7, CK19, TTF1, CEA. Squamous carcinoma had high positive rates for CK AE1/2, P63, Ki67. There was a statistically moderate correlation between the results of histopathology and the conclusions of immunohistochemistry. Conclusions: majority of hospitalized patients were not in early stages and presented combinations of symptoms which were not only manifested in lung but in other locations, including distant metastases. Computerized tomography is almost the main test helping in diagnosis and staging. There was a statistically moderate correlation between the results of histopathology and the conclusions of immunohistochemistry. Key words: lung cancer, pulmonary carcinoma, X-ray, computerized tomography, histopathology, immunohistochemistry

scholarly journals Computer-aided Detection of Lung Tumors in Chest X-ray Images Using a Bone Suppression Algorithm and A Deep Learning Framework

2021 ◽  
Vol 2071 (1) ◽  
pp. 012002
Author(s):  
K Sato ◽  
N Kanno ◽  
T Ishii ◽  
Y Saijo
Keyword(s):  
Lung Cancer ◽  
Deep Learning ◽  
Support Systems ◽  
Early Stage ◽  
Learning Model ◽  
Lung Tumors ◽  
Single Shot ◽  
X Ray ◽  
Chest X Ray ◽  
Deep Learning Model

Abstract Detecting lung tumors in early stage by reading chest X-ray images is important for radical treatments of the disease. In order to decrease the risk of missed lung tumors, diagnosis support systems that can provide the accurate detection of lung tumors are in high demand, and the use of artificial intelligence with deep learning is one of the promising solutions. In our research, we aim to improve the accuracy of a deep learning-based system for detecting lung tumors by developing a bone suppression algorithm as a preprocessing for the machine-learning model. Our bone suppression algorithm was devised for conventional single-shot chest X-ray images, which do not rely on a specific type of imaging systems. 604 chest X-ray images were processed using the proposed algorithm and evaluated by combining it with a U-net deep learning model. The results showed that the bone suppression algorithm successfully improved the performance of the deep learning model to identify the location of lung tumors (Intersection over Union) from 0.085 (without the bone suppression algorithm) to 0.142, as well as the ability to classify the lung cancer (Area under Curve) that increased from 0.700 to 0.736. The bone suppression algorithm would be useful to improve the accuracy and the reliability of the deep learning-based diagnosis support systems for detecting lung cancer in mass medical examinations.

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