A rare etiology of frequent ventricular ectopy: Embolic complication of a venous iliac stent to the right ventricle.

Peripheral venous stent migration is an exceedingly rare complication of endovascular stenting. In this clinical vignette, we present a case of a 74-year-old male with a history of endo-venous laser ablation therapy of the right greater saphenous vein complicated with an occlusion requiring a left iliac vein stent. The patient presented to the clinic months after the procedure with complaints of palpitations. Multimodality imaging revealed a stent that had become dislodged and was now located in the right ventricle, trapped within the tricuspid valve apparatus.

Detecting insertion, substitution, and deletion errors in radiology reports using neural sequence-to-sequence models.

BACKGROUND: Errors in grammar, spelling, and usage in radiology reports are common. To automatically detect inappropriate insertions, deletions, and substitutions of words in radiology reports, we proposed using a neural sequence-to-sequence (seq2seq) model. METHODS: Head CT and chest radiograph reports from Mount Sinai Hospital (MSH) (n=61,722 and 818,978, respectively), Mount Sinai Queens (MSQ) (n=30,145 and 194,309, respectively) and MIMIC-III (n=32,259 and 54,685) were converted into sentences. Insertions, substitutions, and deletions of words were randomly introduced. Seq2seq models were trained using corrupted sentences as input to predict original uncorrupted sentences. Three models were trained using head CTs from MSH, chest radiographs from MSH, and head CTs from all three collections. Model performance was assessed across different sites and modalities. A sample of original, uncorrupted sentences were manually reviewed for any error in syntax, usage, or spelling to estimate real-world proofreading performance of the algorithm. RESULTS: Seq2seq detected 90.3% and 88.2% of corrupted sentences with 97.7% and 98.8% specificity in same-site, same-modality test sets for head CTs and chest radiographs, respectively. Manual review of original, uncorrupted same-site same-modality head CT sentences demonstrated seq2seq positive predictive value (PPV) 0.393 (157/400; 95% CI, 0.346-0.441) and negative predictive value (NPV) 0.986 (789/800; 95% CI, 0.976-0.992) for detecting sentences containing real-world errors, with estimated sensitivity of 0.389 (95% CI, 0.267-0.542) and specificity 0.986 (95% CI, 0.985-0.987) over n=86,211 uncorrupted training examples. CONCLUSIONS: Seq2seq models can be highly effective at detecting erroneous insertions, deletions, and substitutions of words in radiology reports. To achieve high performance, these models require site- and modality-specific training examples. Incorporating additional targeted training data could further improve performance in detecting real-world errors in reports.

Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging.

BACKGROUND: Differentiating glioblastoma, brain metastasis, and central nervous system lymphoma (CNSL) on conventional magnetic resonance imaging (MRI) can present a diagnostic dilemma due to the potential for overlapping imaging features. We investigate whether machine learning evaluation of multimodal MRI can reliably differentiate these entities. METHODS: Preoperative brain MRI including diffusion weighted imaging (DWI), dynamic contrast enhanced (DCE), and dynamic susceptibility contrast (DSC) perfusion in patients with glioblastoma, lymphoma, or metastasis were retrospectively reviewed. Perfusion maps (rCBV, rCBF), permeability maps (K-trans, Kep, Vp, Ve), ADC, T1C+ and T2/FLAIR images were coregistered and two separate volumes of interest (VOIs) were obtained from the enhancing tumor and non-enhancing T2 hyperintense (NET2) regions. The tumor volumes obtained from these VOIs were utilized for supervised training of support vector classifier (SVC) and multilayer perceptron (MLP) models. Validation of the trained models was performed on unlabeled cases using the leave-one-subject-out method. Head-to-head and multiclass models were created. Accuracies of the multiclass models were compared against two human interpreters reviewing conventional and diffusion-weighted MR images. RESULTS: Twenty-six patients enrolled with histopathologically-proven glioblastoma (n=9), metastasis (n=9), and CNS lymphoma (n=8) were included. The trained multiclass ML models discriminated the three pathologic classes with a maximum accuracy of 69.2% accuracy (18 out of 26; kappa 0.540, P=0.01) using an MLP trained with the VpNET2 tumor volumes. Human readers achieved 65.4% (17 out of 26) and 80.8% (21 out of 26) accuracies, respectively. Using the MLP VpNET2 model as a computer-aided diagnosis (CADx) for cases in which the human reviewers disagreed with each other on the diagnosis resulted in correct diagnoses in 5 (19.2%) additional cases. CONCLUSIONS: Our trained multiclass MLP using VpNET2 can differentiate glioblastoma, brain metastasis, and CNS lymphoma with modest diagnostic accuracy and provides approximately 19% increase in diagnostic yield when added to routine human interpretation.

Yttrium-90 Complications: Prevention and Management.

Radioembolization has become a more prevalent treatment for both primary and secondary liver of the liver. Radioembolization is a relatively safe procedure with major complications being rare. Understanding how to identify the potential complications and their treatment can help make the procedure even safer and mitigate the risk of severe life threatening complications. In this article, we will review the most common complications, how to identify them, and how manage them.

The Role of Radioembolization in Bridging and Downstaging Hepatocellular Carcinoma to Curative Therapy.

Radioembolization with yttrium-90 microspheres has a growing role in the interventional oncological management of patient's with hepatocellular carcinoma. Patients with Barcelona Clinic Liver Cancer early or intermediate hepatocellular carcinoma may be offered radioembolization in order to control tumor burden while awaiting a transplant organ-referred to as "bridging" a patient to transplantation-or to reduce tumor burden such that patients will subsequently meet criteria for curative therapies-known as "downstaging" a patient to eligible tumor characteristics. More specific applications of radioembolization have been developed over the past two decades. Radioembolization may be employed to perform a radiation "lobectomy" in order to induce regression of the treated segments and hypertrophy of the untreated liver lobe such that the future liver remnant is sizeable enough to sustain life following resection. Similarly, the concept of radiation "segmentectomy"-involving the more selective administration of yttrium-90 microspheres with the intention of treating tumor and leading to the regression of the treated segment over time-has been proposed as a potential curative application of radioembolization. These radioembolization applications combine to augment the treatment options available to hepatocellular carcinoma patients both within and beyond transplantation criteria.

Feasibility and safety of liver transplantation or resection after transarterial radioembolization with Yttrium-90 for unresectable hepatocellular carcinoma.

BACKGROUND: The benefit of transarterial radioembolization (TARE) in patients with unresectable hepatocellular carcinoma (HCC) is increasingly evidenced. However, data on outcome of liver transplantation or resection after TARE remain scarce. This study aimed to assess the safety and feasibility of surgery after TARE in patients with unresectable HCC. METHODS: Patients exclusively undergoing TARE followed by either orthotopic liver transplantation (OLT) or liver resection (LR) for HCC between 2012 and 2016 were included. Primary outcomes were postoperative morbidity and mortality. Secondary outcomes were overall survival (OS) and response to TARE. RESULTS: Among 349 patients with HCC treated with TARE, 32 (9%) underwent either OLT (n = 22) or LR (n = 10), which represent the study cohort. In this group, TARE induced decreased viable nodules (p < 0.001), an efficient downsizing (p < 0.001) as well as a significant downstaging based on BCLC classification (p < 0.001). Overall, major complications and mortality after surgery occurred in 5 (16%) and 1 (3%) patients, respectively. For the whole study cohort, OS was 47 months while survival rates at 1-, 3- and 5-years reached 97%, 86% and 86%, respectively. DISCUSSION: Liver surgery after TARE is feasible and safe. This strategy allows to offer a curative treatment in a subset of patients with unresectable HCC.

End-hole Versus Microvalve Infusion Catheters in Patients Undergoing Drug-Eluting Microspheres-TACE for Solitary Hepatocellular Carcinoma Tumors: A Retrospective Analysis.

INTRODUCTION: Pre-transplant locoregional therapy for hepatocellular carcinoma (HCC) during bridge-to-transplant impacts recurrence and survival rates following liver transplantation. Optimizing the effectiveness of transarterial chemoembolization (TACE) in this population is imperative, and microvalve infusion catheters offer a means of such improvement. METHODS: All treatment-naive patients with solitary HCC tumors < 6.5 cm who underwent drug-eluting microspheres (DEM) TACE between 04/2015 and 08/2017 were retrospectively reviewed. Eighty-eight included patients underwent DEM-TACE with either standard end-hole catheters (EH) or microvalve infusion catheters (MVI). The EH (n = 70) and MVI (n = 18) cohorts had similar baseline tumor size, laboratory values, and tumor etiologies. RESULTS: Initial objective response rates were significantly higher in MVI vs. EH (100% vs. 76.5%, p = 0.019). There was no difference in adverse events between groups (p = 0.265). MVI patients exhibited lower AST (p = 0.003) and ALT (p = 0.044) at 6 months. Blinded pathological analysis of explanted livers showed greater concentrations of microspheres within the tumor relative to the surrounding tissue in MVI explants (88.7 ± 10.6%) versus the EH explants (55.3 ± 32.7%) (p = 0.002). There was significantly higher percentage tumor necrosis in the MVI group (89.0 ± 2.2%) compared with the EH group (56.1 ± 44.5%) (p = 0.006). CONCLUSION: In this retrospective study of a single-center cohort, DEM-TACE procedures with MVI were associated with improved tumor response, increased deposition of microspheres within tumor tissue, and higher percentage tumor necrosis at explant relative to those performed using EH catheters.

Combination of Active Transfer Learning and Natural Language Processing to Improve Liver Volumetry Using Surrogate Metrics with Deep Learning.

PURPOSE: To determine if weakly supervised learning with surrogate metrics and active transfer learning can hasten clinical deployment of deep learning models. MATERIALS AND METHODS: By leveraging Liver Tumor Segmentation (LiTS) challenge 2017 public data (n = 131 studies), natural language processing of reports, and an active learning method, a model was trained to segment livers on 239 retrospectively collected portal venous phase abdominal CT studies obtained between January 1, 2014, and December 31, 2016. Absolute volume differences between predicted and originally reported liver volumes were used to guide active learning and assess accuracy. Overall survival based on liver volumes predicted by this model (n = 34 patients) versus radiology reports and Model for End-Stage Liver Disease with sodium (MELD-Na) scores was assessed. Differences in absolute liver volume were compared by using the paired Student t test, Bland-Altman analysis, and intraclass correlation; survival analysis was performed with the Kaplan-Meier method and a Mantel-Cox test. RESULTS: Data from patients with poor liver volume prediction (n = 10) with a model trained only with publicly available data were incorporated into an active learning method that trained a new model (LiTS data plus over- and underestimated active learning cases [LiTS-OU]) that performed significantly better on a held-out institutional test set (absolute volume difference of 231 vs 176 mL, P = .0005). In overall survival analysis, predicted liver volumes using the best active learning-trained model (LiTS-OU) were at least comparable with liver volumes extracted from radiology reports and MELD-Na scores in predicting survival. CONCLUSION: Active transfer learning using surrogate metrics facilitated deployment of deep learning models for clinically meaningful liver segmentation at a major liver transplant center.© RSNA, 2019Supplemental material is available for this article.

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previously believed. We assessed how well CNNs generalized across three hospital systems for a simulated pneumonia screening task. METHODS AND FINDINGS: A cross-sectional design with multiple model training cohorts was used to evaluate model generalizability to external sites using split-sample validation. A total of 158,323 chest radiographs were drawn from three institutions: National Institutes of Health Clinical Center (NIH; 112,120 from 30,805 patients), Mount Sinai Hospital (MSH; 42,396 from 12,904 patients), and Indiana University Network for Patient Care (IU; 3,807 from 3,683 patients). These patient populations had an age mean (SD) of 46.9 years (16.6), 63.2 years (16.5), and 49.6 years (17) with a female percentage of 43.5%, 44.8%, and 57.3%, respectively. We assessed individual models using the area under the receiver operating characteristic curve (AUC) for radiographic findings consistent with pneumonia and compared performance on different test sets with DeLong's test. The prevalence of pneumonia was high enough at MSH (34.2%) relative to NIH and IU (1.2% and 1.0%) that merely sorting by hospital system achieved an AUC of 0.861 (95% CI 0.855-0.866) on the joint MSH-NIH dataset. Models trained on data from either NIH or MSH had equivalent performance on IU (P values 0.580 and 0.273, respectively) and inferior performance on data from each other relative to an internal test set (i.e., new data from within the hospital system used for training data; P values both <0.001). The highest internal performance was achieved by combining training and test data from MSH and NIH (AUC 0.931, 95% CI 0.927-0.936), but this model demonstrated significantly lower external performance at IU (AUC 0.815, 95% CI 0.745-0.885, P = 0.001). To test the effect of pooling data from sites with disparate pneumonia prevalence, we used stratified subsampling to generate MSH-NIH cohorts that only differed in disease prevalence between training data sites. When both training data sites had the same pneumonia prevalence, the model performed consistently on external IU data (P = 0.88). When a 10-fold difference in pneumonia rate was introduced between sites, internal test performance improved compared to the balanced model (10× MSH risk P < 0.001; 10× NIH P = 0.002), but this outperformance failed to generalize to IU (MSH 10× P < 0.001; NIH 10× P = 0.027). CNNs were able to directly detect hospital system of a radiograph for 99.95% NIH (22,050/22,062) and 99.98% MSH (8,386/8,388) radiographs. The primary limitation of our approach and the available public data is that we cannot fully assess what other factors might be contributing to hospital system-specific biases. CONCLUSION: Pneumonia-screening CNNs achieved better internal than external performance in 3 out of 5 natural comparisons. When models were trained on pooled data from sites with different pneumonia prevalence, they performed better on new pooled data from these sites but not on external data. CNNs robustly identified hospital system and department within a hospital, which can have large differences in disease burden and may confound predictions.

Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydrocephalus are critical to achieving positive outcomes and preserving neurologic function-'time is brain'1-5. Although these disorders are often recognizable by their symptoms, the critical means of their diagnosis is rapid imaging6-10. Computer-aided surveillance of acute neurologic events in cranial imaging has the potential to triage radiology workflow, thus decreasing time to treatment and improving outcomes. Substantial clinical work has focused on computer-assisted diagnosis (CAD), whereas technical work in volumetric image analysis has focused primarily on segmentation. 3D convolutional neural networks (3D-CNNs) have primarily been used for supervised classification on 3D modeling and light detection and ranging (LiDAR) data11-15. Here, we demonstrate a 3D-CNN architecture that performs weakly supervised classification to screen head CT images for acute neurologic events. Features were automatically learned from a clinical radiology dataset comprising 37,236 head CTs and were annotated with a semisupervised natural-language processing (NLP) framework16. We demonstrate the effectiveness of our approach to triage radiology workflow and accelerate the time to diagnosis from minutes to seconds through a randomized, double-blinded, prospective trial in a simulated clinical environment.

Treatment of Primary Liver Tumors and Liver Metastases, Part 1: Nuclear Medicine Techniques.

90Y radioembolization is an increasingly used treatment for both primary and metastatic malignancy in the liver. Understanding the biophysical properties, dosing concerns, and imaging appearance of this treatment is important for interventional radiologists and nuclear medicine physicians to provide important therapy. 90Y radioembolization is efficacious and safe, although the possibility of complications does exist. This article provides a comprehensive in-depth discussion about the indications for 90Y radioembolization, reviews the role of preprocedural angiography and 99mTc-macroaggregated albumin scans, illustrates different dosing techniques, compares and contrasts resin and glass microspheres, and describes potential complications.

Safety and Outcomes of Transradial Access in Patients with International Normalized Ratio 1.5 or above.

PURPOSE: To examine the safety and outcomes for patients undergoing transradial noncoronary interventions with international normalized ratio (INR) ≥1.5. MATERIALS AND METHODS: A retrospective review of 2,271 transradial access (TRA) cases performed from July 2012 to July 2016 was conducted. Criteria for inclusion were moderate bleeding risk cases with preprocedure INR ≥1.5. Within the study period, there were 176 moderate bleeding risk procedures (transarterial chemoembolization: 70/176 [39.8%]; Barbeau B: 121/176 [68.8%]; 5-F sheath: 157/176 [89.2%]) performed on 122 patients (age 61.6 ± 12.1 years, 68.9% male, body mass index 28.0 kg/m2) with INR ≥1.5. RESULTS: Technical success was achieved in 98.9% of cases. Grade 1/2 hematomas developed in 10 cases (5.7%). Age ≥65 years (P = .042) and female sex (P = .046) were predictive of access site bleeding complications. Fresh frozen plasma (FFP) transfusion was administered in 11.4% of cases (n = 20). Baseline INR and creatinine were significantly different between transfused and nontransfused cases (P values .006 and .028, respectively). Minor access site bleeding occurred in 3/20 cases (15%) receiving prior FFP transfusion and 7/156 nontransfused cases (4.5%), with no significant difference between these 2 groups (P = .072). CONCLUSIONS: TRA in patients with elevated INR appears to be safe in our experience. Age ≥65 years and female sex were associated with increased incidence of access site bleeding. Although INR correction was not standardized in this cohort, preprocedure FFP transfusion did not decrease bleeding complications.

Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.

Purpose To compare different methods for generating features from radiology reports and to develop a method to automatically identify findings in these reports. Materials and Methods In this study, 96 303 head computed tomography (CT) reports were obtained. The linguistic complexity of these reports was compared with that of alternative corpora. Head CT reports were preprocessed, and machine-analyzable features were constructed by using bag-of-words (BOW), word embedding, and Latent Dirichlet allocation-based approaches. Ultimately, 1004 head CT reports were manually labeled for findings of interest by physicians, and a subset of these were deemed critical findings. Lasso logistic regression was used to train models for physician-assigned labels on 602 of 1004 head CT reports (60%) using the constructed features, and the performance of these models was validated on a held-out 402 of 1004 reports (40%). Models were scored by area under the receiver operating characteristic curve (AUC), and aggregate AUC statistics were reported for (a) all labels, (b) critical labels, and (c) the presence of any critical finding in a report. Sensitivity, specificity, accuracy, and F1 score were reported for the best performing model's (a) predictions of all labels and (b) identification of reports containing critical findings. Results The best-performing model (BOW with unigrams, bigrams, and trigrams plus average word embeddings vector) had a held-out AUC of 0.966 for identifying the presence of any critical head CT finding and an average 0.957 AUC across all head CT findings. Sensitivity and specificity for identifying the presence of any critical finding were 92.59% (175 of 189) and 89.67% (191 of 213), respectively. Average sensitivity and specificity across all findings were 90.25% (1898 of 2103) and 91.72% (18 351 of 20 007), respectively. Simpler BOW methods achieved results competitive with those of more sophisticated approaches, with an average AUC for presence of any critical finding of 0.951 for unigram BOW versus 0.966 for the best-performing model. The Yule I of the head CT corpus was 34, markedly lower than that of the Reuters corpus (at 103) or I2B2 discharge summaries (at 271), indicating lower linguistic complexity. Conclusion Automated methods can be used to identify findings in radiology reports. The success of this approach benefits from the standardized language of these reports. With this method, a large labeled corpus can be generated for applications such as deep learning. © RSNA, 2018 Online supplemental material is available for this article.

Outcomes of radioembolization for unresectable hepatocellular carcinoma in patients with marginal functional hepatic reserve.

PURPOSE: To evaluate the outcomes of radioembolization (RE) as a therapy for unresectable hepatocellular carcinoma (HCC) in patients with marginal functional hepatic reserve. METHODS: A retrospective review of 471 patients (1/2010-7/2015) treated with RE (Therasphere, BTG, UK) was performed. A total of 36 patients (mean age: 66.1±9.3, male: 86.1%) underwent therapy for HCC with a MELD≥15 (median: 16, range: 15-22). Baseline demographics of the study cohort were as follows: etiology (HCV: 26, 72.2%), cirrhosis (n=32, 88.9%), ECOG 0 (n=16, 44.4%), Child-Pugh class (A=15, B=19, C=2), unilobar distribution (n=27, 75%), AFP>200 (n=11, 30.6%), portal vein thrombosis (PVT, n=7, 19.4%), metastasis (n=3, 8.3%). Outcomes analyzed included CTCAEv4.03 laboratory toxicities (120-day), imaging response (mRECIST), progression-free survival (PFS), and overall survival (OS). RESULTS: A total of 42 treatments were performed with mean dose of 2.02±1.23GBq. The cumulative grade 3/4 toxicity was 28% overall and 21% for bilirubin at 120-days. The objective response and disease control rates were 48.3% (14/29) and 69% (20/29) respectively. The median (95% CI) PFS was 5.9 (4.4-7.7) months. Ten (27.8%) patients received additional locoregional therapy at a median (IQR) of 138 (102-243) days post RE. The mean (95% CI) OS was 21.9 (14.8-29.0) months. The absence of PVT was associated with improved OS (p=0.005) Disease control at 90-days was also associated with an OS benefit (p=0.037). CONCLUSIONS: Patients with unresectable HCC and marginal functional hepatic reserve treated with RE had favorable objective response and disease control rates, both predictive of overall survival.

Radiation Segmentectomy versus Selective Chemoembolization in the Treatment of Early-Stage Hepatocellular Carcinoma.

PURPOSE: To compare outcomes of radiation segmentectomy (RS) and segmental transarterial chemoembolization in treatment of unresectable, solitary hepatocellular carcinoma (HCC) ≤ 3 cm. MATERIALS AND METHODS: From January 2012 to January 2016, 534 and 877 patients were treated with radioembolization and transarterial chemoembolization, respectively. A cohort of 112 (radiation segmentectomy [RS], 55; chemoembolization, 57) locoregional therapy-naïve patients with solitary HCC ≤ 3 cm without vascular invasion or metastasis was retrospectively identified and stratified according to baseline patient demographics, tumor characteristics, and laboratory values. Propensity score matching (PSM) was conducted using a nearest neighbor algorithm (1:1). Outcomes analyzed included laboratory toxicities, imaging response, time to secondary therapy (TTST), and overall survival. RESULTS: Before PSM, complete response (CR) rate was 81.2% for RS and 49.1% for chemoembolization (odds ratio 2.2; 95% confidence interval [CI], 1.4-3.3; P < .001). Median (95% CI) TTST after initial therapy was 246 days (135-250 d) in chemoembolization group and 700 days (308-812 d) in RS group (hazard ratio 0.71; 95% CI, 0.55-0.92; P = .009). Overall survival before PSM was not significantly different between the 2 groups (P = .29). Overall CR rate after PSM was 92.1% in RS group and 52.6% in chemoembolization group (P = .005). Median (95% CI) TTST after matching was 161 days (76-350 d) in chemoembolization group and 812 days (363-812 d) in RS group (P = .001). Overall survival after matching was not significantly different between the 2 groups (P = .71). CONCLUSIONS: RS results in improved imaging response and longer TTST compared with transarterial chemoembolization in treatment of early-stage HCC.

Transarterial Chemoembolization and Radioembolization across Barcelona Clinic Liver Cancer Stages.

Transarterial chemoembolization (TACE) is a well-established treatment for hepatocellular carcinoma (HCC). TACE has a clearly delineated role within the Barcelona Clinic Liver Cancer (BCLC) staging framework, and TACE has been shown to bridge patients to transplantation and to downsize patients' tumor burden to meet transplantation criteria. Radioembolization (RE) also has an evolving role in the treatment of HCC. RE has evidence-based applications across the range of BCLC stages ranging from segmentectomy for patients with solitary lesions not amenable to ablation to lobar therapy for patients with multifocal HCC, and to treatment of advanced disease with portal vein thrombosis. This article aims to elucidate the evidence behind these therapies and to provide a rationale for their utilization across the spectrum of BCLC stages in the treatment of HCC.

Quantitative Computed Tomography Ventriculography for Assessment and Monitoring of Hydrocephalus: A Pilot Study and Description of Method in Subarachnoid Hemorrhage.

BACKGROUND: There is no facile quantitative method for monitoring hydrocephalus (HCP). We propose quantitative computed tomography (CT) ventriculography (qCTV) as a novel computer vision tool for empirically assessing HCP in patients with subarachnoid hemorrhage (SAH). METHODS: Twenty patients with SAH who were evaluated for ventriculoperitoneal shunt (VPS) placement were selected for inclusion. Ten patients with normal head computed tomography (CTH) findings were analyzed as negative controls. CTH scans were segmented both manually and automatically (by qCTV) to generate measures of ventricular volume. RESULTS: The median manually calculated ventricular volume was 36.1 cm3 (interquartile range [IQR], 30-115 cm3), which was similar to the median qCTV measured volume of 37.5 cm3 (IQR, 32-118 cm3) (P = 0.796). Patients undergoing VPS placement demonstrated an increase in median ventricular volume on qCTV from 21 cm3 to 40 cm3 on day T-2 and to 51 cm3 by day 0, a change of 144%. This is in contrast to patients who did not require shunting, in whom median ventricular volume decreased from 16 cm3 to 14 cm3 on day T-2 and to 13 cm3 by day 0, with an average overall volume decrease 19% (P = 0.001). The average change in ventricular volume predicted which patients would require VPS placement, successfully identifying 7 of 10 patients (P = 0.004). Using an optimized cutoff of a change in ventricular volume of 2.5 cm3 identified all patients who went on to require VPS placement (10 of 10; P = 0.011). CONCLUSIONS: qCTV is a reliable means of quantifying ventricular volume and hydrocephalus. This technique offers a new tool for monitoring neurosurgical patients for hydrocephalus, and may be beneficial for use in future research studies, as well as in the routine care of patients with hydrocephalus.

Radiation Segmentectomy versus TACE Combined with Microwave Ablation for Unresectable Solitary Hepatocellular Carcinoma Up to 3 cm: A Propensity Score Matching Study.

Purpose To compare the outcomes of radiation segmentectomy (RS) and transarterial chemoembolization (TACE) combined with microwave ablation (MWA) in the treatment of unresectable solitary hepatocellular carcinoma (HCC) up to 3 cm. Materials and Methods This retrospective study was approved by the institutional review board, and the requirement to obtain informed consent was waived. From January 2010 to June 2015, a total of 417 and 235 consecutive patients with HCC underwent RS and TACE MWA, respectively. A cohort of 121 patients who had not previously undergone local-regional therapy (RS, 41; TACE MWA, 80; mean age, 65.4 years; 84 men [69.4%]) and who had solitary HCC up to 3 cm without vascular invasion or metastasis was retrospectively identified. Outcomes analyzed included procedure-related complications, laboratory toxicity levels, imaging response, time to progression (TTP), 90-day mortality, and survival. Propensity score matching was conducted by using a nearest-neighbor algorithm (1:1) to account for pretreatment clinical, laboratory, and imaging covariates. Postmatching statistical analysis was performed with conditional logistic regression for binary outcomes and the stratified log-rank test for time-dependent outcomes. Results Before matching, the complication rate was 8.9% and 4.9% in the TACE MWA and RS groups, respectively (P = .46). The overall complete response (CR) rate was 82.9% for RS and 82.5% for TACE MWA (odds ratio, 1.0; 95% confidence interval [CI]: 0.4, 2.8; P = .95). There were 41 (RS, 11; TACE MWA, 30) instances of progression occurring after an initial CR, of which 10 (24%) were classified as target progression (RS, one; TACE MWA, nine). Median overall TTP was 11.1 months (95% CI: 8.8 months, 25.6 months) in the RS group and 12.1 months (95% CI: 7.7 months, 19.1 months) in the TACE MWA group (P > .99). After matching, the overall CR rate (P = .94), TTP (P = .83), and overall survival (P > .99) were not significantly different between the two groups. The 90-day postoperative mortality rate was 0% in both groups. Conclusion Imaging response and progression outcomes of patients with solitary HCC up to 3 cm treated with RS were not significantly different when compared with those of patients treated with TACE MWA. © RSNA, 2016 Online supplemental material is available for this article.

Outcomes of Radioembolization in the Treatment of Hepatocellular Carcinoma with Portal Vein Invasion: Resin versus Glass Microspheres.

PURPOSE: To compare outcomes of yttrium-90 radioembolization performed with resin-based ((90)Y-resin) and glass-based ((90)Y-glass) microspheres in the treatment of hepatocellular carcinoma (HCC) with associated portal vein invasion. MATERIALS AND METHODS: A single-center retrospective review (January 2005-September 2014) identified 90 patients ((90)Y-resin, 21; (90)Y-glass, 69) with HCC and ipsilateral portal vein thrombosis (PVT). Patients were stratified according to age, sex, ethnicity, Child-Pugh class, Eastern Cooperative Oncology Group status, α-fetoprotein > 400 ng/mL, extent of PVT, tumor burden, and sorafenib therapy. Outcome variables included clinical and laboratory toxicities (Common Terminology Criteria Adverse Events, Version 4.03), imaging response (modified Response Evaluation Criteria in Solid Tumors), time to progression (TTP), and overall survival (OS). RESULTS: Grade 3/4 bilirubin and aspartate aminotransferase toxicities developed at a 2.8-fold (95% confidence interval [CI], 1.3-6.1) and 2.6-fold (95% CI, 1.1-6.1) greater rate in the (90)Y-resin group. The disease control rate was 37.5% in the (90)Y-resin group and 54.5% in the (90)Y-glass group (P = .39). The median (95% CI) TTP was 2.8 (1.9-4.3) months in the (90)Y-resin group and 5.9 (4.2-9.1) months in the (90)Y-glass group (P = .48). Median (95% CI) survival was 3.7 (2.3-6.0) months in the (90)Y-resin group and 9.4 (7.6-15.0) months in the (90)Y-glass group (hazard ratio, 2.6; 95% CI, 1.5-4.3, P < .001). Additional multivariate predictors of improved OS included age < 65 years, Eastern Cooperative Oncology Group status < 1, α-fetoprotein ≤ 400 ng/mL, and unilobar tumor distribution. CONCLUSIONS: Imaging response of (90)Y treatment in patients with HCC and PVT was not significantly different between (90)Y-glass and (90)Y-resin groups. Lower toxicity and improved OS were observed in the (90)Y-glass group.

Transradial access for visceral endovascular interventions in morbidly obese patients: safety and feasibility.

PURPOSE: Transradial access (TRA) has been shown to lower morbidity and bleeding complications compared to transfemoral access in percutaneous coronary interventions. Morbid obesity, commonly defined as a body mass index (BMI) ≥40 kg/m2, has been shown to be a risk factor for access site complications irrespective of access site. This study evaluates the safety and feasibility of performing visceral endovascular interventions in morbidly obese patients via TRA. METHODS: Procedural details, technical success, and 30-day major and minor access site, bleeding, and neurological adverse events were prospectively recorded in a database of 1057 procedures performed via the radial artery. From this database we identified 22 visceral interventions performed with TRA in 17 morbidly obese patients (age: 53 ± 11 years, female: 71%) with a median BMI of 42.7 kg/m2. RESULTS: Interventions included radio-embolization (n = 7, 31.8%), chemo-embolization (n = 6, 27.3%), uterine fibroid embolization (n = 4, 18.2%), renal embolization (n = 2, 9.1%), hepatic embolization (n = 1, 4.5%), lumbar artery embolization (n = 1, 4.5%), and renal angioplasty (n = 1, 4.5%). The technical success was 100%. There were no major or minor adverse access site, bleeding, or neurological complications at 30 days. CONCLUSIONS: This study suggests visceral endovascular interventions performed in morbidly obese patients are safe and feasible.