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1.
J Bras Pneumol ; 47(5): e20200595, 2021.
Artículo en Inglés, Portugués | MEDLINE | ID: mdl-34669832

RESUMEN

Effective communication among members of medical teams is an important factor for early and appropriate diagnosis. The terminology used in radiology reports appears in this context as an important link between radiologists and other members of the medical team. Therefore, heterogeneity in the use of terms in reports is an important but little discussed issue. This article is the result of an extensive review of nomenclature in thoracic radiology, including for the first time terms used in X-rays, CT, and MRI, conducted by radiologists from Brazil and Portugal. The objective of this review of medical terminology was to create a standardized language for medical professionals and multidisciplinary teams.


Asunto(s)
Lenguaje , Radiología , Brasil , Consenso , Humanos , Portugal
2.
J. bras. pneumol ; 47(5): e20200595, 2021. graf
Artículo en Inglés | LILACS | ID: biblio-1346404

RESUMEN

ABSTRACT Effective communication among members of medical teams is an important factor for early and appropriate diagnosis. The terminology used in radiology reports appears in this context as an important link between radiologists and other members of the medical team. Therefore, heterogeneity in the use of terms in reports is an important but little discussed issue. This article is the result of an extensive review of nomenclature in thoracic radiology, including for the first time terms used in X-rays, CT, and MRI, conducted by radiologists from Brazil and Portugal. The objective of this review of medical terminology was to create a standardized language for medical professionals and multidisciplinary teams.


RESUMO A comunicação eficiente entre a equipe médica é um fator importante no diagnóstico e tratamento precoce e adequado dos pacientes. A terminologia utilizada em relatórios de exames radiológicos aparece nesse contexto como um elo importante entre radiologistas e os demais integrantes da equipe médica. Portanto, a heterogeneidade no uso de termos em relatórios é importante mas ainda pouco discutida. Este artigo é resultado de uma extensa revisão da nomenclatura radiológica em radiologia torácica, englobando pela primeira vez termos utilizados em vários métodos (radiografia, TC e RM), desenvolvida por radiologistas brasileiros e portugueses. O objetivo desta revisão da terminologia médica foi criar uma linguagem padronizada para os profissionais médicos e as equipes multidisciplinares.


Asunto(s)
Humanos , Radiología , Lenguaje , Portugal , Brasil , Consenso
3.
J Comput Assist Tomogr ; 40(2): 248-55, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-26571061

RESUMEN

OBJECTIVE: The aims of this study were to assess the concordance between high-resolution computed tomography (HRCT) diagnostic hypotheses (DH) and final diagnosis in patients with diffuse lung disease and to evaluate whether clinical data or the radiologist's degree of certainty influence concordance. METHODS: Concordances between first and any one of radiologists' DH and final diagnosis were assessed before and after access to clinical data, with study of importance of degree of certainty in the DH formulated. RESULTS: Concordances of HRCT DH and final diagnosis were 48% and 76%, respectively, considering first or any of the DH without access to clinical data. Accessing clinical data improved concordance especially for hypersensitivity pneumonitis. Diagnostic hypotheses formulated with high degree of confidence were correct in 69% of cases. CONCLUSIONS: First HRCT DH was concordant with final diagnosis in approximately half of cases, increasing to approximately 75% when considering any 1 of the 3 DH. Radiologists' knowledge of clinical data or increased degree of certainty improved concordance of HRCT DH and the final diagnosis.


Asunto(s)
Competencia Clínica/estadística & datos numéricos , Enfermedades Pulmonares Intersticiales/diagnóstico por imagen , Tomografía Computarizada por Rayos X/métodos , Adulto , Diagnóstico Diferencial , Femenino , Humanos , Pulmón/diagnóstico por imagen , Masculino , Reproducibilidad de los Resultados , Sensibilidad y Especificidad
4.
Radiographics ; 32(1): 33-50, 2012.
Artículo en Inglés | MEDLINE | ID: mdl-22236892

RESUMEN

Collagen vascular diseases are a diverse group of immunologically mediated systemic disorders that often lead to thoracic changes. The collagen vascular diseases that most commonly involve the lung are rheumatoid arthritis, progressive systemic sclerosis, systemic lupus erythematosus, polymyositis and dermatomyositis, mixed connective tissue disease, and Sjögren syndrome. Interstitial lung disease and pulmonary arterial hypertension are the main causes of mortality and morbidity among patients with collagen vascular diseases. Given the broad spectrum of possible thoracic manifestations and the varying frequency with which different interstitial lung diseases occur, the interpretation of thoracic images obtained in patients with collagen vascular diseases can be challenging. The task may be more difficult in the presence of treatment-related complications such as drug toxicity and infections, which are common in this group of patients. Although chest radiography is most often used for screening and monitoring of thoracic alterations, high-resolution computed tomography can provide additional information about lung involvement in collagen vascular diseases and may be especially helpful for differentiating specific disease patterns in the lung. General knowledge about the manifestations of thoracic involvement in collagen vascular diseases allows radiologists to provide better guidance for treatment and follow-up of these patients.


Asunto(s)
Enfermedades del Colágeno/complicaciones , Enfermedades del Colágeno/diagnóstico por imagen , Radiografía Torácica/métodos , Enfermedades Torácicas/complicaciones , Enfermedades Torácicas/diagnóstico por imagen , Enfermedades Vasculares/complicaciones , Enfermedades Vasculares/diagnóstico por imagen , Humanos , Tomografía Computarizada por Rayos X/métodos
5.
J Bras Pneumol ; 36(1): 29-36, 2010.
Artículo en Inglés, Portugués | MEDLINE | ID: mdl-20209305

RESUMEN

OBJECTIVE: To determine the interobserver and intraobserver agreement in the diagnosis of interstitial lung diseases (ILDs) based on HRCT scans and the impact of observer expertise, clinical data and confidence level on such agreement. METHODS: Two thoracic radiologists and two general radiologists independently reviewed the HRCT images of 58 patients with ILDs on two distinct occasions: prior to and after the clinical anamnesis. The radiologists selected up to three diagnostic hypotheses for each patient and defined the confidence level for these hypotheses. One of the thoracic and one of the general radiologists re-evaluated the same images up to three months after the first readings. In the coefficient analyses, the kappa statistic was used. RESULTS: The thoracic and general radiologists, respectively, agreed on at least one diagnosis for each patient in 91.4% and 82.8% of the patients. The thoracic radiologists agreed on the most likely diagnosis in 48.3% (kappa = 0.42) and 62.1% (kappa = 0.58) of the cases, respectively, prior to and after the clinical anamnesis; likewise, the general radiologists agreed on the most likely diagnosis in 37.9% (kappa = 0.32) and 36.2% (kappa = 0.30) of the cases. For the thoracic radiologist, the intraobserver agreement on the most likely diagnosis was 0.73 and 0.63 prior to and after the clinical anamnesis, respectively. That for the general radiologist was 0.38 and 0.42.The thoracic radiologists presented almost perfect agreement for the diagnostic hypotheses defined with the high confidence level. CONCLUSIONS: Interobserver and intraobserver agreement in the diagnosis of ILDs based on HRCT scans ranged from fair to almost perfect and was influenced by radiologist expertise, clinical history and confidence level.


Asunto(s)
Competencia Clínica , Enfermedades Pulmonares Intersticiales/diagnóstico por imagen , Radiología/educación , Tomografía Computarizada por Rayos X/estadística & datos numéricos , Adulto , Anciano , Anciano de 80 o más Años , Interpretación Estadística de Datos , Femenino , Humanos , Masculino , Persona de Mediana Edad , Variaciones Dependientes del Observador
6.
J. bras. pneumol ; 36(1): 29-36, jan.-fev. 2010. tab, ilus
Artículo en Inglés | LILACS | ID: lil-539432

RESUMEN

OBJECTIVE: To determine the interobserver and intraobserver agreement in the diagnosis of interstitial lung diseases (ILDs) based on HRCT scans and the impact of observer expertise, clinical data and confidence level on such agreement. METHODS: Two thoracic radiologists and two general radiologists independently reviewed the HRCT images of 58 patients with ILDs on two distinct occasions: prior to and after the clinical anamnesis. The radiologists selected up to three diagnostic hypotheses for each patient and defined the confidence level for these hypotheses. One of the thoracic and one of the general radiologists re-evaluated the same images up to three months after the first readings. In the coefficient analyses, the kappa statistic was used. RESULTS: The thoracic and general radiologists, respectively, agreed on at least one diagnosis for each patient in 91.4 percent and 82.8 percent of the patients. The thoracic radiologists agreed on the most likely diagnosis in 48.3 percent (κ = 0.42) and 62.1 percent (κ = 0.58) of the cases, respectively, prior to and after the clinical anamnesis; likewise, the general radiologists agreed on the most likely diagnosis in 37.9 percent (κ = 0.32) and 36.2 percent (κ = 0.30) of the cases. For the thoracic radiologist, the intraobserver agreement on the most likely diagnosis was 0.73 and 0.63 prior to and after the clinical anamnesis, respectively. That for the general radiologist was 0.38 and 0.42.The thoracic radiologists presented almost perfect agreement for the diagnostic hypotheses defined with the high confidence level. CONCLUSIONS: Interobserver and intraobserver agreement in the diagnosis of ILDs based on HRCT scans ranged from fair to almost perfect and was influenced by radiologist expertise, clinical history and confidence level.


OBJETIVO: Determinar a concordância interobservador e intraobservador no diagnóstico de doenças pulmonares intersticiais (DPIs) por TCAR e o impacto da experiência dos observadores, dos dados clínicos e do grau de confiança nessas concordâncias. MÉTODOS: Dois radiologistas torácicos e dois gerais independentemente avaliaram imagens de TCAR de 58 pacientes com DPIs em dois momentos: antes e após da anamnese clínica. Os observadores selecionaram até três hipóteses diagnósticas para cada paciente e definiram o grau de confiança dessas hipóteses. Um dos radiologistas torácicos e um dos gerais reavaliaram as mesmas imagens até três meses após a primeira leitura. As análises estatísticas foram feitas utilizando o coeficiente kappa. RESULTADOS: Os radiologistas torácicos e os gerais, respectivamente, concordaram com uma ou mais hipóteses diagnósticas em 91,4 por cento e 82,8 por cento dos pacientes. Os radiologistas torácicos concordaram com o diagnóstico mais provável em 48,3 por cento (κ = 0,42) e 62,1 por cento (κ = 0,58) dos casos, respectivamente, antes e após a anamnese clínica; de forma semelhante; os radiologistas gerais concordaram com o diagnóstico mais provável em 37,9 por cento (κ = 0,32) e 36,2 por cento (κ = 0,30). A concordância intraobservador do radiologista torácico no diagnóstico mais provável foi de 0,73 e 0,63, antes e após da anamnese clínica, respectivamente; para o radiologista geral, essa foi de 0,38 e 0,42. Os radiologistas torácicos apresentaram graus de concordância quase perfeitos nas hipóteses diagnósticas definidas com o grau de confiança alto. CONCLUSÕES: A concordância interobservador e intraobservador no diagnóstico das DPIs por TCAR variaram de regular a quase perfeita, tendo sido influenciadas pela experiência do radiologista, pela história clínica e pelo grau de confiança.


Asunto(s)
Adulto , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Persona de Mediana Edad , Competencia Clínica , Enfermedades Pulmonares Intersticiales , Radiología/educación , Tomografía Computarizada por Rayos X/estadística & datos numéricos , Interpretación Estadística de Datos , Variaciones Dependientes del Observador
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