Injury complexity factors predict heterotopic ossification restricting motion after elbow trauma.

BACKGROUND: Heterotopic ossification (HO) is a common extrinsic cause of elbow stiffness after trauma. However, factors associated with the development of HO are incompletely understood. QUESTIONS/PURPOSES: We retrospectively identified (1) patient-related demographic factors, (2) injury-related factors, and (3) treatment-related factors associated with the development of HO severe enough to restrict motion after surgery for elbow trauma. We also determined what percentage of the variation in HO restricting motion was explained by the variables studied. METHODS: Between 2001 and 2007, we performed surgery on 417 adult patients for elbow fractures; of these, 284 (68%) were available for radiographs at a minimum of 4 months and clinical review at a minimum of 6 months after surgery (mean, 7.9 months; range, 6­31 months). HO was classified according to the Hastings and Graham system. Patients with HO restricting motion (defined as a Hastings and Graham Class II or III) were compared with patients without HO restricting motion in terms of demographics, fracture location, elbow dislocation, open wound, mechanism of injury, ipsilateral fracture, head trauma, time from injury to surgery, number of surgeries within 4 weeks, total number of surgeries, bone graft, and infection, using bivariate and multivariable analyses. A total of 96 patients had radiographic HO, and in 27 (10% of those available for followup), it restricted motion. RESULTS: There were no patient-related demographic factors that predicted the formation of symptomatic HO. Ulnohumeral dislocation in addition to fracture (odds ratio, 2.38; 95% CI, 1.01­5.64; p = 0.048) but not fracture location was associated with HO. Longer time from injury to definitive surgery and number of surgical procedures in the first 4 weeks were also independent predictors of HO (p = 0.01 and 0.004, respectively). These factors explained 20% of the variance in risk for HO restricting motion. CONCLUSIONS: HO restricting motion after operative elbow fracture treatment associates with factors that seem related to injury complexity, in particular, ulnohumeral dislocation, delay, and number of early surgeries; however, a substantial portion of the variation among patients with elbow fracture who develop restrictive HO remains unexplained. LEVEL OF EVIDENCE: Level III, therapeutic study. See Instructions for Authors for a complete description of levels of evidence.

Can angiographic Flat Detector Computed Tomography blood volume measurement be used to predict final infarct size in acute ischemic stroke?

INTRODUCTION AND PURPOSE: Flat detector computed tomography (FD-CT) technology is becoming more widely available in the angiography suites of comprehensive stroke centers. In patients with acute ischemic stroke (AIS), who are referred for endovascular therapy (EVT), FD-CT generates cerebral pooled blood volume (PBV) maps, which might help in predicting the final infarct area. We retrospectively analyzed pre- and post-recanalization therapy quantitative PBV measurements in both the infarcted and hypoperfused brain areas of AIS patients referred for EVT. MATERIALS AND METHODS: We included AIS patients with large vessel occlusion in the anterior circulation referred for EVT from primary stroke centers to our comprehensive stroke center. The pre- and post-recanalization FD-CT regional relative PBV (rPBV) values were measured between ipsilateral lesional and contralateral non-lesional areas based on final infarct area on post EVT follow-up cross-sectional imaging. Statistical analysis was performed to identify differences in PBV values between infarcted and non-infarcted, recanalized brain areas. RESULTS: We included 20 AIS patients. Mean age was 63 years (ranging from 36 to 86 years). The mean pre- EVT rPBV value was 0.57 (±0.40) for infarcted areas and 0.75 (±0.43) for hypoperfusion areas. The mean differences (Δ) between pre- and post-EVT rPBV values for infarcted and hypoperfused areas were respectively 0.69 (±0.59) and 0.69 (±0.90). We found no significant differences (p > 0.05) between pre-EVT rPBV and ΔrPBV values of infarct areas and hypoperfusion areas. CONCLUSION: Angiographic PBV mapping is useful for the detection of cerebral perfusion deficits, especially in combination with the fill run images. However, we were not able to distinguish irreversibly infarcted tissue from potentially salvageable, hypoperfused brain tissue based on quantitative PBV measurement in AIS patients.

Fluorescence-Guided Thoracic Duct Dissection in Robotic en Bloc Esophagectomy.

En bloc resection of the thoracic duct compartment enhances adequate lymph node removal and may improve oncologic outcomes in esophagectomy for malignant esophageal diseases. However, it also increases the risk of postoperative chylothorax, with a reported incidence of 5% to 20%. This report describes a technique that facilitates intraoperative identification of the thoracic duct, as well as proximal and distal ligation, during robot-assisted esophagectomy by lymphangiography-guided injection of indocyanine green in the right groin in a patient in the left lateral position. This approach can be swiftly applied at any time during any thoracoscopic procedure using the lateral position when visualization of the thoracic duct anatomy is needed.

Flat Detector CT with Cerebral Pooled Blood Volume Perfusion in the Angiography Suite: From Diagnostics to Treatment Monitoring.

C-arm flat-panel detector computed tomographic (CT) imaging in the angiography suite increasingly plays an important part during interventional neuroradiological procedures. In addition to conventional angiographic imaging of blood vessels, flat detector CT (FD CT) imaging allows simultaneous 3D visualization of parenchymal and vascular structures of the brain. Next to imaging of anatomical structures, it is also possible to perform FD CT perfusion imaging of the brain by means of cerebral blood volume (CBV) or pooled blood volume (PBV) mapping during steady state contrast administration. This enables more adequate decision making during interventional neuroradiological procedures, based on real-time insights into brain perfusion on the spot, obviating time consuming and often difficult transportation of the (anesthetized) patient to conventional cross-sectional imaging modalities. In this paper we review the literature about the nature of FD CT PBV mapping in patients and demonstrate its current use for diagnosis and treatment monitoring in interventional neuroradiology.

Diagnostic imaging of colorectal liver metastases with CT, MR imaging, FDG PET, and/or FDG PET/CT: a meta-analysis of prospective studies including patients who have not previously undergone treatment.

PURPOSE: To obtain diagnostic performance values of computed tomography (CT), magnetic resonance (MR) imaging, fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET), and FDG PET/CT in the detection of colorectal liver metastases in patients who have not previously undergone therapy. MATERIALS AND METHODS: A comprehensive search was performed for articles published from January 1990 to January 2010 that fulfilled the following criteria: a prospective study design was used; the study population included at least 10 patients; patients had histopathologically proved colorectal cancer; CT, MR imaging, FDG PET, or FDG PET/CT was performed for the detection of liver metastases; intraoperative findings or those from histopathologic examination or follow-up were used as the reference standard; and data for calculating sensitivity and specificity were included. Study design characteristics, patient characteristics, imaging features, reference tests, and 2 × 2 tables were recorded. RESULTS: Thirty-nine articles (3391 patients) were included. Variation existed in study design characteristics, patient descriptions, imaging features, and reference tests. The sensitivity estimates of CT, MR imaging, and FDG PET on a per-lesion basis were 74.4%, 80.3%, and 81.4%, respectively. On a per-patient basis, the sensitivities of CT, MR imaging, and FDG PET were 83.6%, 88.2%, and 94.1%, respectively. The per-patient sensitivity of CT was lower than that of FDG PET (P = .025). Specificity estimates were comparable. For lesions smaller than 10 mm, the sensitivity estimates for MR imaging were higher than those for CT. No differences were seen for lesions measuring at least 10 mm. The sensitivity of MR imaging increased significantly after January 2004. The use of liver-specific contrast material and multisection CT scanners did not provide improved results. Data about FDG PET/CT were too limited for comparisons with other modalities. CONCLUSION: MR imaging is the preferred first-line modality for evaluating colorectal liver metastases in patients who have not previously undergone therapy. FDG PET can be used as the second-line modality. The role of FDG PET/CT is not yet clear owing to the small number of studies. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.10100729/-/DC1.

Correlation of DASH and QuickDASH with measures of psychological distress.

PURPOSE: In an attempt to shorten the questionnaires given to patients in both clinical and research settings, we studied whether the correlation of commonly used psychological measures was comparable for the standard Disabilities of the Arm, Shoulder, and Hand (DASH) and the shorter QuickDASH questionnaires. METHODS: A cohort of 839 patients with carpal tunnel syndrome, trigger finger, de Quervain's disease, trapeziometacarpal arthrosis, lateral epicondylosis, or a distal radius fracture 2 weeks after surgery, who completed the DASH and 1 or more measures of psychological distress, was created from 10 databases from previously implemented studies. Correlations of the DASH and the QuickDASH with several measures of psychological factors (Center for Epidemiologic Studies Depression Scale [CES-D], Pain Catastrophizing Scale [PCS], and Pain Anxiety Symptoms Scale [PASS-40]) were calculated in both univariate and multivariable analyses. RESULTS: There was a large correlation between the DASH and QuickDASH (r = 0.79; p < .001). QuickDASH scores were significantly higher than DASH scores (p < .001). Correlations of the CES-D, PCS, and PASS-40 with the DASH and QuickDASH ranged from small to medium (range, 0.21-0.31; p < .001). There were no significant differences between correlations of the DASH and the QuickDASH with the psychological factors in the cohort including all patients, nor in subgroups according to diagnosis, gender, and limb dominance. CONCLUSIONS: The correlations of the DASH and QuickDASH with the CES-D, PCS, and PASS-40 were comparable. Our analysis suggests that a shorter and therefore potentially more practical measure of arm-specific disability can be used in studies that evaluate psychosocial aspects of illness behavior. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic III.

Liver segmentation and metastases detection in MR images using convolutional neural networks.

Primary tumors have a high likelihood of developing metastases in the liver, and early detection of these metastases is crucial for patient outcome. We propose a method based on convolutional neural networks to detect liver metastases. First, the liver is automatically segmented using the six phases of abdominal dynamic contrast-enhanced (DCE) MR images. Next, DCE-MR and diffusion weighted MR images are used for metastases detection within the liver mask. The liver segmentations have a median Dice similarity coefficient of 0.95 compared with manual annotations. The metastases detection method has a sensitivity of 99.8% with a median of two false positives per image. The combination of the two MR sequences in a dual pathway network is proven valuable for the detection of liver metastases. In conclusion, a high quality liver segmentation can be obtained in which we can successfully detect liver metastases.