Relevant bibliographies by topics / Lungs Chest Radiography, Medical

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Lungs Chest Radiography, Medical'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Lungs Chest Radiography, Medical"

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Hess, Erik P., Jeffrey J. Perry, Pam Ladouceur, George A. Wells, and Ian G. Stiell. "Derivation of a clinical decision rule for chest radiography in emergency department patients with chest pain and possible acute coronary syndrome." CJEM 12, no. 02 (2010): 128–34. http://dx.doi.org/10.1017/s148180350001215x.

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ABSTRACTObjective:We derived a clinical decision rule to determine which emergency department (ED) patients with chest pain and possible acute coronary syndrome (ACS) require chest radiography.Methods:We prospectively enrolled patients over 24 years of age with a primary complaint of chest pain and possible ACS over a 6-month period. Emergency physicians completed standardized clinical assessments and ordered chest radiographs as appropriate. Two blinded investigators independently classified chest radiographs as “normal,” “abnormal not requiring intervention” and “abnormal requiring intervent
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Mandal, Pijush Kanti, Arpan Kumar Dey, Subhraprakash Pramanik, Somenath Dasgupta, and Tanmoy W. Momin. "A Case of Nodular Chest Shadows." Asian Journal of Medical Sciences 5, no. 2 (2013): 134–36. http://dx.doi.org/10.3126/ajms.v5i2.8473.

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Pulmonary Tuberculosis is still very common in India as well as in other developing countries. The lesions are usually woolly, ill-defined opacities and may be associated with cavities. Multiple nodular discrete bilateral opacities affecting the lungs from base to apex, more in the lower zones is unusual in Pulmonary Tuberculosis. We report a case of a 55 year old male with bilateral multiple nodular opacities of varying sizes as evident on chest radiography presented with dry cough and one episode of haemoptysis, which initially raised a possibility of lung metastasis. CT guided FNAB from lef
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Puspitasari, Yessy, та Jusak Nugraha. "CORRELATION BETWEEN IFN-ɤ LEVELS, CHEST RADIOGRAPHY AND THE POSITIVITY OF SMEAR SPUTUM IN NEW TB CASES AT THE DR.SOETOMO HOSPITAL". INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY 24, № 2 (2018): 155. http://dx.doi.org/10.24293/ijcpml.v24i2.1316.

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Tuberculosis is an infectious disease attacking lungs, triggering damage, and pulmonary dysfunction. Host cytokine responses will influence tuberculosis manifestations. The main host immune response is cellular immunity, and Delayed-Type Hypersensitivity (DTH). IFN-γ produced by Th-1, is a major cytokine acting to eliminate TB bacteria through macrophage activation. Chest radiography has an important value for the diagnosis of TB, especially in negative sputum smears. Radiological manifestations depend on several factors including host prior to TB exposure, age, and immune status. Sputum smear
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Plavec, Goran, Ilija Tomic, Sanela Bihorac, et al. "Lung involvement in systemic connective tissue diseases." Vojnosanitetski pregled 65, no. 9 (2008): 688–91. http://dx.doi.org/10.2298/vsp0809688p.

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Background/Aim. Systemic connective tissue diseases (SCTD) are chronic inflammatory autoimmune disorders of unknown cause that can involve different organs and systems. Their course and prognosis are different. All of them can, more or less, involve the respiratory system. The aim of this study was to find out the frequency of respiratory symptoms, lung function disorders, radiography and high-resolution computerized tomography (HRCT) abnormalities, and their correlation with the duration of the disease and the applied treatment. Methods. In 47 non-randomized consecutive patients standard ches
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Shah, Ankit Kumar, Avadhesh Pratap Singh Kushwah, Sonjjoy Pandey, and Shashi Prabha Tomar. "Role of HRCT in Interstitial Lung Disease with Radiographic Correlation." Journal of Evidence Based Medicine and Healthcare 7, no. 44 (2020): 2573–78. http://dx.doi.org/10.18410/jebmh/2020/531.

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BACKGROUND Diffuse interstitial lung disease is on the rise in recent times. This could be attributed to number of causes / reasons. Environmental pollution is one of the important causes for the upswing. Increased exposure to inorganic dust, toxic fumes, certain drugs (gold, amiodarone, antibiotics etc.) and radiation can also cause ILD (Interstitial Lung Disease). METHODS This is a hospital based prospective observational study, conducted in the Department of Radiodiagnosis, NSCB Medical College and Hospital, Jabalpur. This study comprised of a total of 50 patients clinically diagnosed inter
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Lozo Vukovac, Emilija, Kornelija Miše, Ivan Gudelj, et al. "Bronchoalveolar pH and inflammatory biomarkers in patients with acute exacerbation of chronic obstructive pulmonary disease." Journal of International Medical Research 47, no. 2 (2018): 791–802. http://dx.doi.org/10.1177/0300060518811560.

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Objectives This study aimed to directly measure pH in the lungs, determine lactate dehydrogenase (LDH), C-reactive protein (CRP), and glucose levels in serum and bronchoalveolar aspirate, and identify bacterial pathogens from bronchoalveolar fluid during acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods We performed an observational, analytical case–control study from February 2015 to March 2017. We included 84 patients with AECOPD and 42 with stable chronic obstructive pulmonary disease (COPD). All participants underwent detailed medical anamnesis, a clinical exami
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Wang, Wenjing, Hongwei Feng, Qirong Bu, et al. "MDU-Net: A Convolutional Network for Clavicle and Rib Segmentation from a Chest Radiograph." Journal of Healthcare Engineering 2020 (July 17, 2020): 1–9. http://dx.doi.org/10.1155/2020/2785464.

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Automatic bone segmentation from a chest radiograph is an important and challenging task in medical image analysis. However, a chest radiograph contains numerous artifacts and tissue shadows, such as trachea, blood vessels, and lung veins, which limit the accuracy of traditional segmentation methods, such as thresholding and contour-related techniques. Deep learning has recently achieved excellent segmentation of some organs, such as the pancreas and the hippocampus. However, the insufficiency of annotated datasets impedes clavicle and rib segmentation from chest X-rays. We have constructed a
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Vukovic, Jelena, Goran Plavec, Slobodan Acimovic, et al. "Pseudomesotheliomatous carcinoma of the lung." Vojnosanitetski pregled 73, no. 12 (2016): 1168–72. http://dx.doi.org/10.2298/vsp150811138v.

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Introduction. Pseudomesotheliomatous lung carcinoma is a special, rare entity characterized by large pleural growth and minor invasion of lung tissue. Clinically, radiologically, macroscopically and even histologically this tumor can be misdiagnosed as malignant pleural carcinoma. Case report. We represent a 64-year-old male patient, former smoker. Due to difficulties in the form of dry cough, feeling of dis-comfort and pain in the right hemithorax, fatigue, heavy breathing, sweating, fever up to 39.6?C the patient was treated as with combined antibiotic therapy (macrolides, cephalosporins and
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Man, Sorin Claudiu, Otilia Fufezan, Valentina Sas, and Cristina Schnell. "Performance of lung ultrasonography for the diagnosis of communityacquired pneumonia in hospitalized children." Medical Ultrasonography 19, no. 3 (2017): 276. http://dx.doi.org/10.11152/mu-1027.

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Aims: The objective of the study was to assess the performance of lung ultrasonography (LUS) as compared to chest radiography and the clinical criteria for the diagnosis of pneumonia in children.Materials and methods: This was a retrospective study in which data were collected from medical files of 81 children admitted with a clinical suspicion of pneumonia in which both an LUS and a chest radiograph during the hospitalization were performed. Reference standard used for the diagnosis of pneumonia were chest radiographs (consolidation, parenchymal infiltrates, and interstitial infiltrate) and c
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ANTON, Adelina, Ioana Sinziana GHERGHISAN, Angela OMER (Gheorghe), Elena Valentina IONESCU, Madalina Gabriela ILIESCU, and Radu BAZ. "Challenges in multidisciplinary medical rehabilitation - Swyer-James-MacLeod Syndrome: case presentation and short literature review." Balneo Research Journal 10, Vol 10 No. 4 (2019): 457–61. http://dx.doi.org/10.12680/balneo.2019.281.

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Introduction. Swyer-James-MacLeod syndrome (SJMS) or unilateral hyperlucent lung syndrome is a rare disorder caused by infectious bronchiolitis obliterans and pneumonitis occurring in childhood. It is characterized by hypoplasia and/or agenesis of the pulmonary arteries resulting in pulmonary parenchyma hypoperfusion. Materials and methods. We report the case of a 27 years-old female patient who presented with progressive dyspnea, productive cough, fever and chills. Results and discussion. Chest radiography showed unilateral loss of left lung volume with hyperlucency. Unilateral reduction in v
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Dissertations / Theses on the topic "Lungs Chest Radiography, Medical"

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Al-Kabir, Zul Waker Mohammad. "A knowledge based system for diagnosis of lung diseases from chest x-ray images /." Canberra : University of Canberra, 2007. http://erl.canberra.edu.au/public/adt-AUC20070823.160921/index.html.

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Thesis (PhD) -- University of Canberra, 2006.<br>Thesis submitted in fulfilment of the requirements for the degree of Master of Information Science in the School of Information Sciences and Engineering under the Division of Business, Law and Sciences at the University of Canberra, May 2006. Bibliography: leaves 120-132.
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Narayanan, Barath Narayanan. "New Classifier Architecture and Training Methodologies for Lung Nodule Detection in Chest Radiographs and Computed Tomography." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1508237793168873.

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Rehm, Kelly. "Development and image quality assessment of a contrast-enhancement algorithm for display of digital chest radiographs." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/185844.

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This dissertation presents a contrast-enhancement algorithm called Artifact-Suppressed Adaptive Histogram Equalization (ASAHE). This algorithm was developed as part of a larger effort to replace the film radiographs currently used in radiology departments with digital images. Among the expected benefits of digital radiology are improved image management and greater diagnostic accuracy. Film radiographs record X-ray transmission data at high spatial resolution, and a wide dynamic range of signal. Current digital radiography systems record an image at reduced spatial resolution and with coarse s
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Zhou, Bo. "DETECTION AND QUANTIFICATION OF CORONARY CALCIUM FROMDUAL ENERGY CHEST X-RAYS: PHANTOM FEASIBILITY STUDY." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1481216785398625.

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Ullman, Gustaf. "Quantifying image quality in diagnostic radiology using simulation of the imaging system and model observers." Doctoral thesis, Linköping : Department of Medicine and Health, Linköping University, 2008. http://www.bibl.liu.se/liupubl/disp/disp2008/med1050s.pdf.

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Armato, Samuel G. "Automated lung segmentation in digital posteroanterior and lateral chest radiographs : applications in diagnostic radiology and nuclear medicine /." 1997. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:9733904.

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Gqweta, Ntokozo. "Knowledge, skills and perceptions of diagnostic radiographers on image interpretation of chest diseases in eThekwini public hospitals." Thesis, 2014. http://hdl.handle.net/10321/1003.

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Submitted in fulfilment of the requirements of the Master's Degree in Technology: Radiography, Durban University of Technology, 2013.<br>ABSTRACT Escalating current healthcare needs coupled with the dire shortage of radiologists created a climate in countries abroad to extend the role of the radiographer (Williams 2006). The South African radiography profession demonstrates similar if not worse challenges within the radiology services (Gqweta 2012). The human resource needs in the healthcare sector creates a gap in the provision of radiology services (Brandt et al 2007). Often under these c
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"Developing prediction models for determining the most optimal intervals of chest radiographic examinations and cost-effectiveness analyses for workers exposed to silica dust." 2012. http://library.cuhk.edu.hk/record=b5549447.

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目的：本研究主要目的是建立預測模型來判定矽肺發生的累積風險從而推薦適宜的胸片照射年限並從而評估常規監測和推薦監測策略的成本效益。此外，本研究還評價了常規診斷和驗證性診斷的符合度以及在驗證性診斷中邀請的三位專家之間的符合度。<br>方法：總計有3492男性接塵工人在1964年1月1日到1974年12月31日期間進入本隊列並隨訪至2008年12月31日。不同閱片專家根據中國最新塵肺病診斷標準 （GBZ70-2009））分別閱片總計9084張。對專家之間閱片結果的兩兩比較和兩種診斷結果的比較均采用Cohen’s Kappa檢驗。應用三種篩選方法（強制所有變量同時進入模型，後退逐步篩選，以及Least Absolute Shrinkage and Selection Operator (LASSO)篩選。LASSO模型作為最優模型，以分數量表的方式來表達。根據分數，把工人分成高、中、低危險組，並估計這三組不同危險水平工人的累積危險度。運用0.1% 累積危險度來判定不同危险的工人及不同期別的矽肺病人的射線照射年限。多狀態Markov模型用於計算矽塵暴露工人不同狀態的年轉移概率，並應用Markov成本效益分析方法來估計每獲得一個生命年的成本效益。<br>結果：截至2008年底，本矽塵暴露隊列共計發現298例矽肺病人（累計發病率為8.53%），死亡1347例（死亡比例為38.57%）。本研究發現
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Books on the topic "Lungs Chest Radiography, Medical"

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J, Stern Eric, ed. Chest radiology: The essentials. 2nd ed. Lippincott Williams & Wilkins, 2007.

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E, Heffner John, ed. Pulmonary pearls. Hanley & Belfus, 1988.

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Cookson, J. B. Essential chest radiology. Heinemann Professional, 1988.

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Radiology of chest diseases. G. Thieme, 1990.

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Lange, Sebastian. Radiology of chest diseases. 2nd ed. Thieme, 1998.

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1948-, Müller Nestor Luiz, ed. The teaching files: Chest. Saunders/Elsevier, 2010.

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Im, Hyo-gŭn. Hyungbu chʻwaryŏng esŏ ŭi chindan chʻamgo chunwi hwangnip =: Development of the recommendation criteria for the patient exposure during plain chest radiography examination. Sikpʻum Ŭiyakpʻum Anjŏnchʻŏng, 2007.

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Guidelines for the use of the ILO international classification of radiographs of pneumoconioses. 2nd ed. International Labour Office, 2011.

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service), SpringerLink (Online, ed. Chest Sonography. 2nd ed. Springer-Verlag, 2008.

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R, Summer Warren, and NetLibrary Inc, eds. Chest radiology: PreTest self-assessment and review. McGraw-Hill, 2001.

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Book chapters on the topic "Lungs Chest Radiography, Medical"

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Sorenson, James A., and Loren T. Niklason. "Scattered Radiation in Chest Radiography." In Progress in Medical Imaging. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3866-9_3.

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van Ginneken, Bram, and Bart M. ter Haar Romeny. "Automatic Segmentation of Lung Fields in Chest Radiographs." In Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10704282_20.

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Coche, Emmanuel E. "Chest Radiography Today and Its Remaining Indications." In Medical Radiology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79942-9_1.

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Delrue, Louke, Robert Gosselin, Bart Ilsen, An Van Landeghem, Johan de Mey, and Philippe Duyck. "Difficulties in the Interpretation of Chest Radiography." In Medical Radiology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-79942-9_2.

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Shi, Yonghong, and Dinggang Shen. "Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85988-8_50.

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Shi, Yonghong, Feihu Qi, Zhong Xue, Kyoko Ito, Hidenori Matsuo, and Dinggang Shen. "Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11866565_11.

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Rosado-de-Christenson, Melissa L. "Introduction to Portable Chest Radiography: Support Devices." In Chest Imaging. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780199858064.003.0006.

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The introduction to portable chest radiography outlines a systematic approach to the performance and interpretation of bedside or portable chest radiography. These studies are frequently obtained in critically ill, debilitated and traumatized patients and are performed as anteroposterior (AP) chest radiographs. In each case, the radiologist should identify and assess all visible medical devices for appropriate positioning and exclusion of post procedural or post placement complications. In fact, it is important to explain the nature of all radiopaque structures visible on the radiograph. The radiologist then assesses the lung volume, presence or absence of airspace or interstitial disease, the pulmonary vasculature, and the pleural spaces and chest wall. Comparison to prior studies is important for the identification of subtle changes and abnormalities. Critical findings such as malpositioned medical devices, new consolidations, interval atelectasis, pneumothorax and/or pneumoperitoneum need to be promptly communicated to the clinical staff. In some cases, patients with new abnormalities may require further assessment with more advanced imaging such as chest CT.
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"Detection of Lung Nodules in Chest Radiography." In Computer-Aided Detection and Diagnosis in Medical Imaging. CRC Press, 2015. http://dx.doi.org/10.1201/b18191-13.

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Sinharay, Rudy. "Chest Medicine." In Oxford Assess and Progress: Clinical Medicine. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198812968.003.0009.

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Respiratory conditions are common, and the burden of morbidity on the general population is high. You only have to take part in a few general medical takes as a junior doctor to realize this. As the on- call bleep goes off again, you are referred another exacerbation of chronic obstructive pulmonary disease (COPD) or asthma, a breathless patient (is it a pul­monary embolism, pneumothorax, or something less common?), or a patient with haemoptysis and weight loss [is it lung cancer or tuberculosis (TB)?] or productive cough (pneumonia or bronchiectasis?). The number of different respiratory conditions can be bewildering, and it is essential for the developing physician to be able to manage ‘common presenta­tions’, as well as potentially life- threatening situations such as an asthma attack or an acute pulmonary embolism. The nuances of history taking is often key to successfully clinching a diagnosis: ● What chronic conditions, respiratory or otherwise, do your patients have? ● What is the onset of symptoms? Sudden breathlessness may indicate a pneumothorax or pulmonary embolus. A chronic productive cough may indicate COPD or bronchiectasis. ● Social history— do they smoke, what are their living conditions, what is their occupation? Luckily, we have other tools to help us. The age- old art of inspec­tion, palpation, percussion, and auscultation during an examination is essential when assessing the patient. Combined with imaging techniques, including chest radiography, CT scanning, and bedside thoracic ultra­sound, the answer is often easily obtained. Keeping an open mind to the less common causes of breathlessness, cough, and haemoptysis is important. Combined with lung function testing, autoimmune blood tests, and bronchoscopy, subtler diagnoses such as interstitial lung dis­ease, fungal lung disease, and autoantibody- induced haemoptysis may be revealed. And a word to the wise— not all breathlessness originates from the lungs! For instance, an increased body mass index will cause a physical restriction on the mechanics of breathing and a compensated metabolic acidosis may cause tachypnoea. As with all chronic diseases, the management of chronic respira­tory disease is becoming increasingly complicated with the advent of biologics, immunotherapy, antifibrotic therapy, and a genuinely confusing array of inhalers.
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Walker, Christopher M. "Volume Loss." In Chest Imaging. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780199858064.003.0015.

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Atelectasis is one of the most frequently encountered imaging abnormalities on chest radiography and CT, with different implications when detected in hospitalized patients as compared to those encountered in the outpatient setting. Bedridden and postoperative patients often have a dependent type of atelectasis, whereas lobar atelectasis detected in an outpatient is often a harbinger of underlying malignancy (e.g. lung cancer). Medical malpractice cases are sometimes based on the missed diagnosis of lung cancer manifesting as atelectasis and misinterpreted by a radiologist. It is imperative that radiologists be familiar with the direct and indirect imaging signs of atelectasis, as well as the classic patterns of lobar atelectasis. Specific signs of lobar atelectasis will be described including the S sign of Golden and the luftsichel sign. A confident knowledge of lung anatomy, particularly with regard to hilar anatomy and the normal appearance of mediastinal contours and the interlobar fissures, will enable the radiologist to confidently diagnose atelectasis and narrow the differential diagnostic considerations.
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Conference papers on the topic "Lungs Chest Radiography, Medical"

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Ghosh, Payel, Sameer K. Antani, L. Rodney Long, and George R. Thoma. "Unsupervised segmentation of lungs from chest radiographs." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.911574.

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Luo, Tao, Xuanqin Mou, Ying Yang, and Hao Yan. "Lung nodules detection in chest radiography: image components analysis." In SPIE Medical Imaging, edited by Berkman Sahiner and David J. Manning. SPIE, 2009. http://dx.doi.org/10.1117/12.813503.

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Chen, S., K. Suzuki, and H. MacMahon. "Improved computerized detection of lung nodules in chest radiographs by means of 'virtual dual-energy' radiography." In SPIE Medical Imaging, edited by Ronald M. Summers and Bram van Ginneken. SPIE, 2011. http://dx.doi.org/10.1117/12.877579.

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Guo, Wei, Qiang Li, Sarah J. Boyce, et al. "Computerized scheme for lung nodule detection in multi-projection chest radiography." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.911881.

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Bath, Magnus, Markus Hakansson, Sara Borjesson, et al. "Investigation of image components affecting the detection of lung nodules in digital chest radiography." In Medical Imaging, edited by Miguel P. Eckstein and Yulei Jiang. SPIE, 2005. http://dx.doi.org/10.1117/12.595506.

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Zhao, Hui, Shih-Chung B. Lo, Matthew T. Freedman, and Yue J. Wang. "Enhanced lung cancer detection in temporal subtraction chest radiography using directional edge filtering techniques." In Medical Imaging 2002, edited by Milan Sonka and J. Michael Fitzpatrick. SPIE, 2002. http://dx.doi.org/10.1117/12.467212.

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Tanaka, Rie, Ehsan Samei, William Paul Segars, et al. "Prediction of pleural invasion of lung cancer with dynamic chest radiography: a simulation study." In Physics of Medical Imaging, edited by Hilde Bosmans and Guang-Hong Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2547464.

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Tsuchiya, Yuichiro, Yoshie Kodera, Rie Tanaka, and Shigeru Sanada. "Quantitative kinetic analysis of lung nodules by temporal subtraction technique in dynamic chest radiography with a flat panel detector." In Medical Imaging, edited by Maryellen L. Giger and Nico Karssemeijer. SPIE, 2007. http://dx.doi.org/10.1117/12.708798.

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Kundel, Harold L. "Disease prevalence and the index of detectability: a survey of studies of lung cancer detection by chest radiography." In Medical Imaging 2000, edited by Elizabeth A. Krupinski. SPIE, 2000. http://dx.doi.org/10.1117/12.383100.

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Yoshida, Hiroyuki, and Kunio Doi. "Computerized detection of pulmonary nodules in chest radiographs: reduction of false positives based on symmetry between left and right lungs." In Medical Imaging 2000, edited by Kenneth M. Hanson. SPIE, 2000. http://dx.doi.org/10.1117/12.387732.

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