Correction to: Magnetic resonance imaging features of the superior cervical ganglion and expected changes after radiation therapy to the head and neck in a long-term follow-up

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Developing a Predictive Score for Chronic Arthritis among a Cohort of Children with Musculoskeletal Complaints-The Chronic Arthritis Score Study

OBJECTIVE: To explore if features obtained from a carefully taken medical history can be predictors of the final diagnosis in children with musculoskeletal complaints. STUDY DESIGN: We collected detailed clinical information on 178 children referred to our Pediatric Immunology and Rheumatology Unit by their primary care pediatrician for musculoskeletal complaints; a univariate logistic analysis was performed to identify variables correlated with the diagnosis of chronic arthritis. The variables identified were combined in a linear score that indicates the probability for a patient with musculoskeletal pain to receive the diagnosis of chronic arthritis. RESULTS: The joint swelling pattern (P < .0001), the precipitating factors of pain (P = .001), the duration of morning stiffness (P < .0001) and the frequency of pain (P < .0001), were found to be independently correlated with the diagnosis of chronic arthritis and were used to develop a diagnostic score. This score had a sensitivity of 90.9% and specificity of 95.3%. CONCLUSIONS: We developed a score that could be useful in the daily clinical routine to correctly direct the differential diagnosis in a child with musculoskeletal complaints, rationalizing time and resources necessary to reach a definitive diagnosis

Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy

Bevacizumab added to chemotherapy can improve survival in patients with metastatic colorectal cancer, but no predictive factors of efficacy are available in clinical practice. The aim of this study is to assess the predictive and prognostic value of texture analysis on pretreatment contrast-enhanced CT in patients affected by colorectal liver metastases

CT texture analysis as predictive factor in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors (TKIs)

PURPOSE: To assess the predictive and prognostic value of pre-treatment CT texture features in lung adenocarcinoma treated with tyrosine kinase inhibitors (TKI). MATERIALS AND METHODS: Texture analysis was performed using commercially available software (TexRAD Ltd, Cambridge, UK) on pre-treatment contrast-enhanced CT studies from 50 patients with metastatic lung adenocarcinoma treated by TKI. Texture features were quantified on a 5-mm-thick central slice of the primary tumor and were correlated with progression-free and overall survival (PFS and OS) using an internally cross-validated machine learning approach then validated on a bootstrapped sample. RESULTS: Median PFS and OS were 10.5 and 20.7 months, respectively. A noninvasive signature based on five texture parameters predicted 6-month progression with Area Under the Curve (AUC) of 0.8 (95% CI) and 1-year progression with AUC of 0.76. A high-risk group had hazard ratios for progression of 4.63 and 5.78 when divided by median and best cut-off points, respectively. Texture signature did not correlate with OS. Available clinical variables did not correlate with PFS or with OS. CONCLUSION: Texture features seem to be associated with PFS in lung adenocarcinoma treated with TKI