RESUMO
PURPOSE: To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation. METHODS: Consecutive patients with locally advanced rectal cancer (LARC) who underwent neoadjuvant therapy followed by total mesorectal excision from March 2012 to February 2016 (Memorial Sloan Kettering Cancer Center/internal dataset, n = 114, 41% female, median age = 55) and July 2014 to October 2015 (Instituto do Câncer do Estado de São Paulo/external dataset, n = 50, 52% female, median age = 64.5) were retrospectively included. Two radiologists (R1, senior; R2, junior) independently evaluated restaging MRI, classifying patients (radiological complete response vs radiological partial response). Model A (n = 33 texture features), model B (n = 91 features including texture, shape, and edge features), and two combination models (model A + B + R1, model A + B + R2) were constructed. Pathology served as the reference standard for neoadjuvant treatment response. Comparison of the classifiers' AUCs on the external set was done using DeLong's test. RESULTS: Models A and B had similar discriminative ability (P = 0.3; Model B AUC = 83%, 95% CI 70%-97%). Combined models increased inter-reader agreement compared with radiologist-only interpretation (κ = 0.82, 95% CI 0.70-0.89 vs k = 0.25, 95% CI 0.11-0.61). The combined model slightly increased junior radiologist specificity, positive predictive value, and negative predictive values (93% vs 90%, 57% vs 50%, and 91% vs 90%, respectively). CONCLUSION: We developed and externally validated a combined model using radiomics and radiologist qualitative assessment, which improved inter-reader agreement and slightly increased the diagnostic performance of the junior radiologist in predicting pCR after neoadjuvant treatment in patients with LARC.
Assuntos
Inteligência Artificial , Neoplasias Retais , Brasil , Quimiorradioterapia , Feminino , Humanos , Imageamento por Ressonância Magnética , Espectroscopia de Ressonância Magnética , Masculino , Pessoa de Meia-Idade , Radiologistas , Neoplasias Retais/diagnóstico por imagem , Neoplasias Retais/patologia , Neoplasias Retais/terapia , Estudos Retrospectivos , Resultado do TratamentoRESUMO
The left brachiocephalic vein occasionally follows an aberrant course. It is usually associated with congenital cardiac anomaly. We present a case of anomalous left brachiocephalic vein which followed a sub aortic course, with no cardiac abnormality. Multi detector computed tomography is very useful in accurate diagnosis of this condition and prevents any further investigation in cases of isolated abnormalities.
A veia braquiocefálica esquerda, ocasionalmente, segue curso aberrante. Esta variação freqüentemente está associada com anomalias congênitas do coração. Neste trabalho é apresentado um caso de veia braquiocefálica esquerda anômala, com trajeto subaórtico, sem anormalidade cardíaca. A tomografia computadorizada com multidetectores é muito útil no correto diagnóstico dessa condição e permite a conclusão diagnóstica, sem quaisquer outras investigações.