5 research outputs found
Observer variability on the high resolution computed tomography diagnosis of interstitial lung diseases
BV UNIFESP: Teses e dissertaçõe
Análise da concordância entre observadores no diagnóstico das doenças pulmonares intersticiais pela tomografia computadorizada de alta resolução
Universidade Federal de São Paulo (UNIFESP)UNIFESPSciEL
High-Resolution Computed Tomography in the Diagnosis of Diffuse Parenchymal Lung Diseases: Is it Possible to Improve Radiologist's Performance?
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.Univ Fed Sao Paulo UNIFESP, Dept Radiol, 480 Piassanguaba Av, BR-04060000 Sao Paulo, SP, BrazilFleury, Dept Radiol, Sao Paulo, BrazilHCor, Dept Radiol, Sao Paulo, BrazilUniv Fed Sao Paulo UNIFESP, Dept Radiol, 480 Piassanguaba Av, BR-04060000 Sao Paulo, SP, BrazilWeb of Scienc
Concordância entre observadores no diagnóstico das doenças pulmonares intersticiais por imagens de TCAR
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% (κ = 0.42) and 62.1% (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% (κ = 0.32) and 36.2% (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 clÃnicos 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 clÃnica. 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 estatÃsticas foram feitas utilizando o coeficiente kappa. RESULTADOS: Os radiologistas torácicos e os gerais, respectivamente, concordaram com uma ou mais hipóteses diagnósticas em 91,4% e 82,8% dos pacientes. Os radiologistas torácicos concordaram com o diagnóstico mais provável em 48,3% (κ = 0,42) e 62,1% (κ = 0,58) dos casos, respectivamente, antes e após a anamnese clÃnica; de forma semelhante; os radiologistas gerais concordaram com o diagnóstico mais provável em 37,9% (κ = 0,32) e 36,2% (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 clÃnica, 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 clÃnica e pelo grau de confiança