Dynamic contrast-enhanced MRI in malignant pleural mesothelioma: prediction of outcome based on DCE-MRI measurements in patients undergoing cytotoxic chemotherapy.

BACKGROUND: The malignant pleural mesothelioma (MPM) response rate to chemotherapy is low. The identification of imaging biomarkers that could help guide the most effective therapy approach for individual patients is highly desirable. Our aim was to investigate the dynamic contrast-enhanced (DCE) MR parameters as predictors for progression-free (PFS) and overall survival (OS) in patients with MPM treated with cisplatin-based chemotherapy. METHODS: Thirty-two consecutive patients with MPM were enrolled in this prospective study. Pretreatment and intratreatment DCE-MRI were scheduled in each patient. The DCE parameters were analyzed using the extended Tofts (ET) and the adiabatic approximation tissue homogeneity (AATH) model. Comparison analysis, logistic regression and ROC analysis were used to identify the predictors for the patient's outcome. RESULTS: Patients with higher pretreatment ET and AATH-calculated Ktrans and ve values had longer OS (P≤.006). Patients with a more prominent reduction in ET-calculated Ktrans and kep values during the early phase of chemotherapy had longer PFS (P =.008). No parameter was identified to predict PFS. Pre-treatment ET-calculated Ktrans was found to be an independent predictive marker for longer OS (P=.02) demonstrating the most favourable discrimination performance compared to other DCE parameters with an estimated sensitivity of 89% and specificity of 78% (AUC 0.9, 95% CI 0.74-0.98, cut off > 0.08 min-1). CONCLUSIONS: In the present study, higher pre-treatment ET-calculated Ktrans values were associated with longer OS. The results suggest that DCE-MRI might provide additional information for identifying MPM patients that may respond to chemotherapy.

A novel combined animal tissue model for freehand and ultrasound-guided fine needle aspiration biopsy and smear preparation techniques training.

OBJECTIVE: A variety of models are used for fine needle aspiration biopsy (FNAB) and smear preparation techniques training: human, animal and silicon models or combined models. We present fresh animal tissues as models for freehand and ultrasound (US)-guided FNAB technique training, enabling an integrated approach from tumour detection to smear evaluation. METHODS: We introduced a novel combined animal tissue model using dietary animal meat with covering skin as a substrate. Animal liver tissue of various sizes, representing tumour, was inserted into the various layers of the substrate (subcutaneous fat, muscle tissue, proximity of bone). Freehand and US-guided FNAB smear preparation, including fixation, was then performed and assessed. RESULTS: The use of a combined animal tissue model for 6 freehand and 3 US-guided FNAB sessions showed a statistically significant improvement in the US-guided FNAB retrieval of liver tissue (Fisher's exact test, p =  .0216), in smear preparation technique reflected in a decrease in the number of too thick smears after freehand FNAB (Fisher's exact test, p  =  .0070), in the overall number of smears satisfactory for evaluation by US-guided FNAB (Fisher's exact test, p =  .0206) and in the number of flawless smears obtained in the freehand FNAB training sessions (Fisher's exact test, p =  .0020). CONCLUSIONS: A unique advantage of the presented model encompassing various layers of animal tissues with covering skin, offers an integrated approach for FNAB training from "tumour" detection, puncture precision, to smear preparation and cytological evaluation for a wider audience and does not compromise patient safety.

Dynamic contrast-enhanced MRI of malignant pleural mesothelioma: a comparative study of pharmacokinetic models and correlation with mRECIST criteria.

BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive thoracic malignancy that is difficult to cure. Dynamic contrast-enhanced (DCE) MRI is a functional imaging technique used to analyze tumor microvascular properties and to monitor therapy response. Purpose of this study was to compare two tracer kinetic models, the extended Tofts (ET) and the adiabatic approximation tissue homogeneity model (AATH) for analysis of DCE-MRI and examine the value of the DCE parameters to predict response to chemotherapy in patients with MPM. METHOD: This prospective, longitudinal, single tertiary radiology center study was conducted between October 2013 and July 2015. Patient underwent DCE-MRI studies at three time points: prior to therapy, during and after cisplatin-based chemotherapy. The images were analyzed using ET and AATH models. In short-term follow-up, the patients were classified as having disease control or progressive disease according to modified response evaluation criteria in solid tumors (mRECIST) criteria. Receiver operating characteristic curve analysis was used to examine specificity and sensitivity of DCE parameters for predicting response to therapy. Comparison tests were used to analyze whether derived parameters are interchangeable between the two models. RESULTS: Nineteen patients form the study population. The results indicate that the derived parameters are not interchangeable between the models. Significant correlation with response to therapy was found for AATH-calculated median pre-treatment efflux rate (kep) showing sensitivity of 83% and specificity of 100% (AUC 0.9). ET-calculated maximal pre-treatment kep showed 100% sensitivity and specificity for predicting treatment response during the early phase of the therapy and reached a favorable trend to significant prognostic value post-therapy. CONCLUSION: Both models show potential in predicting response to therapy in MPM. High pre-treatment kep values suggest MPM disease control post-chemotherapy.