Wigle, Dennis

Introduction: Omentum flap is a viable reconstructive option for complex chest wall and mediastinal reconstruction. The impact of vasoconstrictors and the laminar pattern of blood flow associated with left ventricular assist devices (LVADs) on the outcomes of reconstructions has not been thoroughly evaluated. Methods: A retrospective review of all patients who underwent chest wall or mediastinal reconstruction using pedicled omentum flaps between 2003 and 2019. Results: Forty patients (60% males) underwent chest wall or mediastinal reconstruction using a pedicled omentum flap at a mean age of 58 years. The median follow-up was 24.3 months. The most common indication was the reconstruction of anterior chest wall/sternal defects (n = 16), followed by coverage of repaired bronchopleural fistula (n = 6), osteoradionecrosis of the anterolateral chest wall (n = 5), reconstruction of anterior/lateral chest wall following oncologic resections (n = 5), coverage of replaced infected LVAD (n = 4), and coverage of exposed/replaced aortic root vascular grafts (n = 4). Vasoconstrictors were used in 26 patients (65%). Eight flaps had partial necrosis, and none of the flaps had complete necrosis. There was no difference in flap complication rates in patients who received vasoconstrictors during the case compared to those who did not ( P = 1.0). Thirteen (33%) flaps were skin grafted at a median of 13 days with 100% skin graft viability. Abdominal incisional hernia developed in 8 patients. In patients with LVADs, the omentum remained viable during the follow-up period. Conclusion: The ability of the omentum to easily reach various regions in the chest and the low failure rate make this flap a reliable reconstructive method.

BackgroundThere is no accurate method distinguishing different types of pulmonary nodules.PurposeTo investigate whether multiparametric 3T MRI biomarkers can distinguish malignant from benign pulmonary nodules, differentiate different types of neoplasms, and compare MRI‐derived measurements with values from commonly used noninvasive imaging modalities.Study TypeProspective.SubjectsSixty‐eight adults with pulmonary nodules undergoing resection.SequencesRespiratory triggered diffusion‐weighted imaging (DWI), periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) fat saturated T2‐weighted imaging, T1‐weighted 3D volumetric interpolated breath‐hold examination (VIBE) using CAIPIRINHA (controlled aliasing in parallel imaging results in a higher acceleration).Assessment/StatisticsApparent diffusion coefficient (ADC), T1, T2, T1 and T2 normalized to muscle (T1/M and T2/M), and dynamic contrast enhancement (DCE) values were compared with histology to determine whether they could distinguish malignant from benign nodules and discern primary from secondary malignancies using logistic regression. Predictability of primary neoplasm types was assessed using two‐sample t‐tests. MRI values were compared with positron emission tomography / computed tomography (PET/CT) to examine if they correlated with standardized uptake value (SUV) or CT Hounsfield unit (HU). Intra‐ and interreader agreements were assessed using intraclass correlations.ResultsForty‐nine of 74 nodules were malignant. There was a significant association between ADC and malignancy (odds ratio 4.47, P < 0.05). ADC ≥1.3 μm2/ms predicted malignancy. ADC, T1, and T2 together predicted malignancy (P = 0.003). No MRI parameter distinguished primary from metastatic neoplasms. T2 predicted PET positivity (P = 0.016). T2 and T1/M correlated with SUV (P < 0.05). Of 18 PET‐negative malignant nodules, 12 (67%) had an ADC ≥1.3 μm2/ms. With the exception of T2, all noncontrast MRI parameters distinguished adenocarcinomas from carcinoid tumors (P < 0.05). T1, T2, T1/M, and T2/M correlated with HU and therefore can predict nodule density. Combined with ADC, washout enhancement, arrival time (AT), peak enhancement intensity (PEI), Ktrans, Kep, Ve collectively were predictive of malignancy (P = 0.012). Combined washin, washout, time to peak (TTP), AT, and PEI values predicted malignancy (P = 0.043). There was good observer agreement for most noncontrast MRI biomarkers.Data ConclusionMRI can contribute to pulmonary nodule analysis. Multiparametric MRI might be better than individual MRI biomarkers in pulmonary nodule risk stratification.Level of Evidence: 1Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2018.