What is asbestosis and what is not: Radiology and pathology correlates

2015 ◽  
pp. 65-78
Author(s):  
Dorsett D. Smith
Keyword(s):  
Radiology And Pathology

The Division of Laborers: Allied Health Professions

1973 ◽  
Vol 3 (3) ◽  
pp. 435-444 ◽  
Author(s):  
Carol A. Brown
Keyword(s):  
Health Services ◽  
Allied Health ◽  
Medical Profession ◽  
Health Professions ◽  
Education And Training ◽  
Health Occupations ◽  
Allied Health Professions ◽  
Professional Societies ◽  
And Training ◽  
Radiology And Pathology

As health services have become hospital-centered, many specialized health occupations have been created. The author maintains that these allied health occupations conflict with the medical profession for occupational territory, and that the development of these subordinate occupations has been controlled by the medical profession to its own benefit. This control is achieved through domination of professional societies, education and training, industrial rules and regulations, and government licenses. Detailed examples of the process of control are provided from the fields of radiology and pathology.

Breast Hemangioma Investigation - A Rare Condition Documented by Nuclear Medicine, Radiology and Pathology

2011 ◽  
Vol 17 (3) ◽  
pp. 305-307 ◽  
Author(s):  
Suellen Strada Ferreira ◽  
Renato Ramos Barra ◽  
Mônica Carboni Pereira Gonçalves ◽  
Cristine Norwig Galvão ◽  
Gisele C Santos ◽  
...  
Keyword(s):  
Nuclear Medicine ◽  
Rare Condition ◽  
Radiology And Pathology

Cerebral schistosomiasis: MRI features with pathological correlation

2020 ◽  
pp. 028418512093447
Author(s):  
Chun-yan Lu ◽  
Sha Zhao ◽  
Yi Wei
Keyword(s):  
Magnetic Resonance Imaging ◽  
Brain Area ◽  
Pathological Findings ◽  
Resonance Imaging ◽  
Mri Findings ◽  
Mri Features ◽  
Cerebral Involvement ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain ◽  
Radiology And Pathology

Background Neuroschistosomiasis is not commonly encountered and is probably underrecognized. We hope these findings can help clinicians and radiologists to raise awareness of this disabling disorder. Purpose To demonstrate the magnetic resonance imaging (MRI) findings of cerebral schistosomiasis and correlate it with pathological findings. Material and Methods We identified seven patients with cerebral schistosomiasis from radiology and pathology archives of our hospital. Of the seven patients, six were pathologically confirmed. The remaining patient had pathologically confirmed spinal schistosomiasis with MRI findings of cerebral involvement. MRI and pathological findings of these patients were analyzed and correlated. Results Multiple enhancing nodules at varying size were found in all patients. Prominent leptomeningeal or choroidal veins were found in six patients, four at the center of the foci and two at the periphery. Hemorrhage was identified in two patients. Histology revealed granulomas around ova in six patients. A prominent vein with ova in the lumen and wall of a vein was found in one patient and perivascular ova deposition was found in one patient. Conclusion Multiple enhancing nodules with central or peripheral veins in a circumscribed brain area are important signs to the diagnosis of cerebral schistosomiasis. The inflamed veins involved may be the route taken by the ova to spread to the brain tissue.

scholarly journals Infantile Cortical Hyperostosis: Report of a Case with Observations on Clinical Manifestations, Radiology, and Pathology with a Late Follow-Up of Eight Years

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Pedro Carlos M. Sarmento Pinheiro ◽  
Ierecê Lins Aymore ◽  
Armando Rocha Amoedo ◽  
Paulo Miguel Hemais
Keyword(s):  
Clinical Manifestations ◽  
Complete Recovery ◽  
Infantile Cortical Hyperostosis ◽  
Puncture Biopsy ◽  
Elevated Sedimentation Rate ◽  
Cortical Hyperostosis ◽  
Neonatal Patient ◽  
Histopathological Studies ◽  
Radiology And Pathology

Purpose. The purpose of our study was to investigate clinical manifestations, roentgen images, histopathological studies, and evolution of the disease in patient displaying infantile cortical hyperostosis.Methods. Roentgenograms were made to evaluate a neonatal patient presenting multiple soft-tissue swellings. The initial radiographs insinuated that the disease had been present for some timein utero. Bone puncture biopsy of the tibia for histopathological observation and diagnosis conclusions was performed.Results. The disease was demonstrated radiographically by massive cortical diaphyseal thickening and also extensive periosteal new bone formation surrounding several bones. Results in blood count were as follows: discrete anemia, moderate leukocytosis, and elevated sedimentation rate. Histological pattern of tissue removed from tibia showed lamellar cortical bones and hyperplasia. Biopsy studies disclosed no evidence of neoplasia as well as of bacterial infection.Comments. Clinical manifestations in a neonatal patient displaying infantile cortical hyperostosis have gradually decreased. Radiograph findings have demonstrated complete recovery of bones manifested by the disease. The pathologic findings are in accordance with previous microscopic examination summarized by the literature. Total patient cure, without sequels, could be demonstrated.

scholarly journals Cancer Informatics in 2019: Deep Learning Takes Center Stage

2020 ◽  
Vol 29 (01) ◽  
pp. 243-246 ◽  
Author(s):  
Jeremy L. Warner ◽  
Debra Patt ◽  
Keyword(s):  
Deep Learning ◽  
Selection Process ◽  
Editorial Committee ◽  
Research Teams ◽  
Extensive Search ◽  
Significant Research ◽  
Radiology And Pathology ◽  
Manual Review ◽  
Final Selection ◽  
Selection Of

Objective: To summarize significant research contributions on cancer informatics published in 2019. Methods: An extensive search using PubMed/Medline and manual review was conducted to identify the scientific contributions published in 2019 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of two best papers was conducted by the editorial committee of the Yearbook. Results: The two selected best papers demonstrate the clinical utility of deep learning in two important cancer domains: radiology and pathology. Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Applications of new and emerging computational technologies are especially notable in 2019.

scholarly journals Bio-Pathological Markers in the Diagnosis and Therapy of Cancer

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3113 ◽  
Author(s):  
Giuseppe Broggi ◽  
Lucia Salvatorelli
Keyword(s):  
Clinical Practice ◽  
Diagnostic Approach ◽  
Medical Sciences ◽  
Diagnosis And Therapy ◽  
Radiology And Pathology

The two medical sciences that mostly deal with the diagnostic approach to human neoplasms in clinical practice are undoubtedly radiology and pathology [...]

Interstitial lung disease?the new synergy between radiology and pathology

2006 ◽  
Vol 49 (4) ◽  
pp. 334-342 ◽  
Author(s):  
M Quigley ◽  
D M Hansell ◽  
A G Nicholson
Keyword(s):  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Radiology And Pathology
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