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1.
Ear Nose Throat J ; : 145561320951647, 2020 Oct 12.
Artigo em Inglês | MEDLINE | ID: mdl-33044841

RESUMO

There is a high prevalence of dysphagia in patients with neuromuscular diseases and stroke, and consequences can be profound. However, the correlation of dysarthria and oral-oropharyngeal dysphagia remains unclear. This review aimed to define the clinical co-presentation of dysarthria and dysphagia in this population. A PubMed search to identify literature on the prevalence of dysarthria and dysphagia was systematically conducted in the English language literature since 1995. Subjective and objective outcomes instruments were identified for both dysarthria and dysphagia. Studies that included prevalence and co-presentation were included. Inclusion and exclusion criteria were applied according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA). Of the 1,056 articles identified in the search, 20 articles met the search criteria. An additional 4 articles were examined for a total of 24 articles for analysis. Dysarthria and dysphagia were found to be highly prevalent among patients with neuromuscular disease (NMD). Overall, there was a higher prevalence of dysarthria than dysphagia. Of those patients with dysphagia, some reports estimate 76-90% of patients with NMD also had dysarthria. Dysarthria is a strong clinical clue to the presence of dysphagia. Existing subjective questionnaires may not reveal the presence of oropharyngeal dysphagia, but objective measures are more revealing. Further study to correlate the degree of dysarthria and severity of oral-oropharyngeal dysphagia are warranted.

2.
Med Phys ; 47(11): 5941-5952, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-32749075

RESUMO

This manuscript describes a dataset of thoracic cavity segmentations and discrete pleural effusion segmentations we have annotated on 402 computed tomography (CT) scans acquired from patients with non-small cell lung cancer. The segmentation of these anatomic regions precedes fundamental tasks in image analysis pipelines such as lung structure segmentation, lesion detection, and radiomics feature extraction. Bilateral thoracic cavity volumes and pleural effusion volumes were manually segmented on CT scans acquired from The Cancer Imaging Archive "NSCLC Radiomics" data collection. Four hundred and two thoracic segmentations were first generated automatically by a U-Net based algorithm trained on chest CTs without cancer, manually corrected by a medical student to include the complete thoracic cavity (normal, pathologic, and atelectatic lung parenchyma, lung hilum, pleural effusion, fibrosis, nodules, tumor, and other anatomic anomalies), and revised by a radiation oncologist or a radiologist. Seventy-eight pleural effusions were manually segmented by a medical student and revised by a radiologist or radiation oncologist. Interobserver agreement between the radiation oncologist and radiologist corrections was acceptable. All expert-vetted segmentations are publicly available in NIfTI format through The Cancer Imaging Archive at https://doi.org/10.7937/tcia.2020.6c7y-gq39. Tabular data detailing clinical and technical metadata linked to segmentation cases are also available. Thoracic cavity segmentations will be valuable for developing image analysis pipelines on pathologic lungs - where current automated algorithms struggle most. In conjunction with gross tumor volume segmentations already available from "NSCLC Radiomics," pleural effusion segmentations may be valuable for investigating radiomics profile differences between effusion and primary tumor or training algorithms to discriminate between them.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , Derrame Pleural , Cavidade Torácica , Algoritmos , Benchmarking , Carcinoma Pulmonar de Células não Pequenas/diagnóstico por imagem , Humanos , Pulmão/diagnóstico por imagem , Neoplasias Pulmonares/diagnóstico por imagem , Derrame Pleural/diagnóstico por imagem , Tomografia Computadorizada por Raios X
3.
Ear Nose Throat J ; 97(3): E1-E9, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29554404

RESUMO

There is a high prevalence of dysphagia among patients with neuromuscular diseases and cerebrovascular diseases, and its consequences can be profound. However, the correlation between dysarthria and oral-oropharyngeal dysphagia remains unclear. We conducted a literature review to define the clinical presentation of both dysarthria and dysphagia in patients with neuromuscular and cerebrovascular diseases. We performed a systematic PubMed search of the English-language literature since 1995. Objective and subjective outcomes instruments were identified for both dysarthria and dysphagia. Studies that included the incidence of concomitant presentations were included. Inclusion and exclusion criteria were applied according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Of the 1,056 articles we reviewed, we selected 24 for analysis. We found that dysarthria and dysphagia were common among patients with neuromuscular and cerebrovascular diseases. Overall, there was a higher prevalence of dysarthria than dysphagia. Of those patients with dysphagia, some reports found that 76 to 90% of patients with neuromuscular disease also had dysarthria. Dysarthria is a strong clinical clue to the presence of dysphagia. Existing subjective questionnaires may not reveal the presence of oropharyngeal dysphagia; objective measures are obviously more revealing. Further studies to correlate the degree of dysarthria and the severity of oral-oropharyngeal dysphagia are warranted.


Assuntos
Transtornos Cerebrovasculares/complicações , Transtornos de Deglutição/etiologia , Disartria/etiologia , Doenças Neuromusculares/complicações , Transtornos de Deglutição/epidemiologia , Disartria/epidemiologia , Humanos , Incidência
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