RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.

Successful point cloud registration relies on accurate correspondences established upon powerful descriptors. However, existing neural descriptors either leverage a rotation-variant backbone whose performance declines under large rotations, or encode local geometry that is less distinctive. To address this issue, we introduce RIGA to learn descriptors that are Rotation-Invariant by design and Globally-Aware. From the Point Pair Features (PPFs) of sparse local regions, rotation-invariant local geometry is encoded into geometric descriptors. Global awareness of 3D structures and geometric context is subsequently incorporated, both in a rotation-invariant fashion. More specifically, 3D structures of the whole frame are first represented by our global PPF signatures, from which structural descriptors are learned to help geometric descriptors sense the 3D world beyond local regions. Geometric context from the whole scene is then globally aggregated into descriptors. Finally, the description of sparse regions is interpolated to dense point descriptors, from which correspondences are extracted for registration. To validate our approach, we conduct extensive experiments on both object- and scene-level data. With large rotations, RIGA surpasses the state-of-the-art methods by a margin of 8 ° in terms of the Relative Rotation Error on ModelNet40 and improves the Feature Matching Recall by at least 5 percentage points on 3DLoMatch.

Digital Staining of White Blood Cells With Confidence Estimation.

Chemical staining of the blood smears is one of the crucial components of blood analysis. It is an expensive, lengthy and sensitive process, often prone to produce slight variations in colour and seen structures due to a lack of unified protocols across laboratories. Even though the current developments in deep generative modeling offer an opportunity to replace the chemical process with a digital one, there are specific safety-ensuring requirements due to the severe consequences of mistakes in a medical setting. Therefore digital staining system would profit from an additional confidence estimation quantifying the quality of the digitally stained white blood cell. To this aim, during the staining generation, we disentangle the latent space of the Generative Adversarial Network, obtaining separate representation s of the white blood cell and the staining. We estimate the generated image's confidence of white blood cell structure and staining quality by corrupting these representations with noise and quantifying the information retained between multiple outputs. We show that confidence estimated in this way correlates with image quality measured in terms of LPIPS values calculated for the generated and ground truth stained images. We validate our method by performing digital staining of images captured with a Differential Inference Contrast microscope on a dataset composed of white blood cells of 24 patients. The high absolute value of the correlation between our confidence score and LPIPS demonstrates the effectiveness of our method, opening the possibility of predicting the quality of generated output and ensuring trustworthiness in medical safety-critical setup.

GeoTransformer: Fast and Robust Point Cloud Registration With Geometric Transformer.

We study the problem of extracting accurate correspondences for point cloud registration. Recent keypoint-free methods have shown great potential through bypassing the detection of repeatable keypoints which is difficult to do especially in low-overlap scenarios. They seek correspondences over downsampled superpoints, which are then propagated to dense points. Superpoints are matched based on whether their neighboring patches overlap. Such sparse and loose matching requires contextual features capturing the geometric structure of the point clouds. We propose Geometric Transformer, or GeoTransformer for short, to learn geometric feature for robust superpoint matching. It encodes pair-wise distances and triplet-wise angles, making it invariant to rigid transformation and robust in low-overlap cases. The simplistic design attains surprisingly high matching accuracy such that no RANSAC is required in the estimation of alignment transformation, leading to 100 times acceleration. Extensive experiments on rich benchmarks encompassing indoor, outdoor, synthetic, multiway and non-rigid demonstrate the efficacy of GeoTransformer. Notably, our method improves the inlier ratio by 18 âˆ¼ 31 percentage points and the registration recall by over 7 points on the challenging 3DLoMatch benchmark.

Immediate results of primary balloon dilation for congenital aortic valve stenosis predict the mid-term outcome.

BACKGROUND: Balloon valvuloplasty is the primary treatment for congenital aortic valve stenosis in our centre. We sought to determine independent predictors of reintervention (surgical repair or repeated balloon dilation) after primary valvuloplasty. METHODS: We retrospectively studied patients with congenital aortic valve stenosis who underwent balloon valvuloplasty during 2004-2018. The following risk factors were analysed: aortic valve insufficiency after balloon valvuloplasty >+1/4, post-procedural gradient across the aortic valve ≥35 mmHg, pre-interventional gradient across the valve, annulus size, use of rapid pacing, and balloon/annulus ratio. Primary outcome was aortic valve reintervention. RESULTS: In total, 99 patients (median age 4 years, range 1 day to 26 years) underwent balloon valvuloplasty for congenital aortic valve stenosis. After a mean follow-up of 4.0 years, 30% had reintervention. Adjusted risks for reintervention were significantly increased in patients with post-procedural aortic insufficiency grade >+1/4 and/or residual gradient ≥35 mmHg (HR 2.55, 95% CI 1.13-5.75, p = 0.024). Pre-interventional gradient, annulus size, rapid pacing, and balloon/annulus ratio were not associated with outcome. CONCLUSION: Post-procedural aortic valve insufficiency grade >+1/4 and/or residual gradient ≥35 mmHg in patients undergoing balloon valvuloplasty for congenital aortic valve stenosis confers an increased risk for reintervention in mid-term follow-up.

DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation.

We propose a three-stage 6 DoF object detection method called DPODv2 (Dense Pose Object Detector) that relies on dense correspondences. We combine a 2D object detector with a dense correspondence estimation network and a multi-view pose refinement method to estimate a full 6 DoF pose. Unlike other deep learning methods that are typically restricted to monocular RGB images, we propose a unified deep learning network allowing different imaging modalities to be used (RGB or Depth). Moreover, we propose a novel pose refinement method, that is based on differentiable rendering. The main concept is to compare predicted and rendered correspondences in multiple views to obtain a pose which is consistent with predicted correspondences in all views. Our proposed method is evaluated rigorously on different data modalities and types of training data in a controlled setup. The main conclusions is that RGB excels in correspondence estimation, while depth contributes to the pose accuracy if good 3D-3D correspondences are available. Naturally, their combination achieves the overall best performance. We perform an extensive evaluation and an ablation study to analyze and validate the results on several challenging datasets. DPODv2 achieves excellent results on all of them while still remaining fast and scalable independent of the used data modality and the type of training data.

Multi-Task Multi-Domain Learning for Digital Staining and Classification of Leukocytes.

This paper addresses digital staining and classification of the unstained white blood cell images obtained with a differential contrast microscope. We have data coming from multiple domains that are partially labeled and partially matching across the domains. Using unstained images removes time-consuming staining procedures and could facilitate and automatize comprehensive diagnostics. To this aim, we propose a method that translates unstained images to realistically looking stained images preserving the inter-cellular structures, crucial for the medical experts to perform classification. We achieve better structure preservation by adding auxiliary tasks of segmentation and direct reconstruction. Segmentation enforces that the network learns to generate correct nucleus and cytoplasm shape, while direct reconstruction enforces reliable translation between the matching images across domains. Besides, we build a robust domain agnostic latent space by injecting the target domain label directly to the generator, i.e., bypassing the encoder. It allows the encoder to extract features independently of the target domain and enables an automated domain invariant classification of the white blood cells. We validated our method on a large dataset composed of leukocytes of 24 patients, achieving state-of-the-art performance on both digital staining and classification tasks.

Variational Level Set Evolution for Non-Rigid 3D Reconstruction From a Single Depth Camera.

We present a framework for real-time 3D reconstruction of non-rigidly moving surfaces captured with a single RGB-D camera. Based on the variational level set method, it warps a given truncated signed distance field (TSDF) to a target TSDF via gradient flow without explicit correspondence search. We optimize an energy that contains a data term which steers towards voxel-wise alignment. To ensure geometrically consistent reconstructions, we develop and compare different strategies, namely an approximately Killing vector field regularizer, gradient flow in Sobolev space and newly devised accelerated optimization. The underlying TSDF evolution makes our approach capable of capturing rapid motions, topological changes and interacting agents, but entails loss of data association. To recover correspondences, we propose to utilize the lowest-frequency Laplacian eigenfunctions of the TSDFs, which encode inherent deformation patterns. For moderate motions we are able to obtain implicit associations via a term that imposes voxel-wise eigenfunction alignment. This is not sufficient for larger motions, so we explicitly estimate voxel correspondences via signature matching of lower-dimensional eigenfunction embeddings. We carry out qualitative and quantitative evaluation of our geometric reconstruction fidelity and voxel correspondence accuracy, demonstrating advantages over related techniques in handling topological changes and fast motions.

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.

We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the quadric surfaces for encapsulating the basic building blocks of our environments - planes, spheres, ellipsoids, cones or cylinders, in a unified fashion. Moreover, quadrics allow us to model higher degree of freedom shapes, such as hyperboloids or paraboloids that could be used in non-rigid settings. We begin by contributing two novel quadric fits targeting 3D point sets that are endowed with tangent space information. Based upon the idea of aligning the quadric gradients with the surface normals, our first formulation is exact and requires as low as four oriented points. The second fit approximates the first, and reduces the computational effort. We theoretically analyze these fits with rigor, and give algebraic and geometric arguments. Next, by re-parameterizing the solution, we devise a new local Hough voting scheme on the null-space coefficients that is combined with RANSAC, reducing the complexity from O(N4) to O(N3) (three points). To the best of our knowledge, this is the first method capable of performing a generic cross-type multi-object primitive detection in difficult scenes without segmentation. Our extensive qualitative and quantitative results show that our method is efficient and flexible, as well as being accurate.

The utility of aortic valve leaflet reconstruction techniques in children and young adults.

OBJECTIVES: The treatment of aortic valve disease in children and adolescents requires an individualized approach to provide a long-term solution with optimal hemodynamic profile. The role of aortic leaflet reconstruction techniques is evolving. METHODS: We retrospectively reviewed the charts of 58 patients who underwent aortic valve tricuspidalization either by an Ozaki procedure (neo-tricuspidalization) or single leaflet reconstruction between 2015 and 2019. Immediate operative results as well as hospital and short-term outpatient follow-up data were evaluated. RESULTS: Fifty-eight patients underwent leaflet reconstruction with 40 (69%) receiving a neo-tricuspidalization and 18 patients (31%) undergoing single leaflet reconstruction, using either a glutaraldehyde fixed autologous pericardium or tissue engineered bovine pericardium (CardioCel; Admedus, Queensland, Australia). The median age at the time of surgery was 14.8 years (interquartile range, 10.6-16.8 years). Twenty-three patients (40%) had isolated aortic regurgitation. The peak velocity across the aortic valve decreased from 3.4 ± 1.2 meters per second (m/s) preoperatively to 2.0 ± 0.4 m/s (P < .001) after surgery and remained stable (2.2 ± 0.7 m/s) during a median echocardiographic follow-up of 14.1 months (7.2-20.1 months) for the whole cohort. Freedom from reoperation or moderate and greater aortic regurgitation at 1, 2, and 3 years was 94.2% ± 3.3%, 85.0% ± 5.8%, and 79.0% ± 8.0%, respectively, with no difference between the neo-tricuspidalization and single leaflet reconstruction groups (P = .635). There were 6 late reoperations (10%) of which 3 were due to endocarditis. CONCLUSIONS: Aortic leaflet reconstruction provides acceptable short-term hemodynamic outcomes and proves the utility of this technique as an adjunctive strategy for surgical treatment of aortic valve disease in children and young adults.

Histochemical, immunohistochemical and ultrastructural analysis of aortic wall in neonatal coarctation.

The neonatal type of coarctation is characterized by the presence of the ductal sling and coarctational shelf placed proximally in relation to the ductal orifice. Those morphological features are not described in detail yet from immunohistochemical and transmission electron microscopy (TEM) aspects, so the aim of this study was to investigate the smooth muscle cells (SMCs) phenotype in aortic intimal thickening, presence of inflammatory cells and contents of intimal and medial, and adventitial connective tissue. We examined samples of coarctation segments excised at surgery after end-to-end anastomosis from 30 patients, ages from 14 days to three months, histochemicaly, immunocytochemically and by TEM. In all samples, it is noticed focal intimal thickening on the posterior aortic wall, with accumulation of SMCs, which show immunoreactivity on alpha-smooth muscle actin (α-SMA) and vimentin (but not on desmin) and also expressed proliferating cell nuclear antigen (PCNA) and S-100 protein. At TEM analysis, those SMCs show a fibroblast-like morphology, so their functions could be to proliferate and secrete extracellular matrix (ECM) components (a synthetic phenotype). In all studied samples of the coarctation, on the posterior wall, the immunocytochemical and TEM examination revealed the presence of SMCs of the synthetic phenotype. Results also showed an increase of the cell number in intima of this part of aortic wall, followed by proliferated SMCs in inner media and absence of inflammatory cells. This finding suggests that proliferation of the SMCs, their synthetic activity and increase of the cell number could lead to formation of the intimal thickening on the posterior wall.

Reevaluating the Importance of Modified Ultrafiltration in Contemporary Pediatric Cardiac Surgery.

OBJECTIVE(S): Modified ultrafiltration has gained wide acceptance as a powerful tool against cardiopulmonary bypass morbidity in pediatric cardiac surgery. The aim of our study was to assess the importance of modified ultrafiltration within conditions of contemporary cardiopulmonary bypass characteristics. METHODS: Ninety⁻eight patients (overall cohort) weighing less than 12 kg undergoing surgical repair with cardiopulmonary bypass were prospectively enrolled in a randomized protocol to receive modified and conventional ultrafiltration (MUF group) or just conventional ultrafiltration (non-MUF group). A special attention was paid to forty-nine neonates and infants weighing less than 5 kg (lower weight (LW) cohort). RESULTS: Post-filtration hematocrit was significantly higher in the MUF group for both cohorts (overall cohort p = 0.001; LW cohort p = 0.04), but not at other time points. During the postoperative course, patients in the MUF group received fewer packed red blood cells, (overall cohort p = 0.01; LW cohort p = 0.07), but required more fresh frozen plasma (overall cohort p = 0.04; LW cohort p = 0.05). There was no difference between groups in hemodynamic state, chest tube output, duration of mechanical ventilation, respiratory parameters, duration of intensive care unit, and hospitalization stay. CONCLUSIONS: If conventional ultrafiltration provides adequate hemoconcentration modified ultrafiltration does not provide additional positive benefits except for reduction in blood cell transfusion, This, however, comes at the cost of needing more fresh frozen plasma. Of particular importance is that this also applies to infants with weight bellow 5 kg where modified ultrafiltration was supposed to have the greatest positive impact.

Tracking-by-Detection of 3D Human Shapes: From Surfaces to Volumes.

3D Human shape tracking consists in fitting a template model to temporal sequences of visual observations. It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences. Most current approaches follow the Iterative-Closest-Point (ICP) paradigm, where the association step is carried out by searching for the nearest neighbors. It fails when large deformations occur and errors in the association tend to propagate over time. In this paper, we propose a discriminative alternative for the association, that leverages random forests to infer correspondences in one shot. Regardless the choice of shape parameterizations, being surface or volumetric meshes, we convert 3D shapes to volumetric distance fields and thereby design features to train the forest. We investigate two ways to draw volumetric samples: voxels of regular grids and cells from Centroidal Voronoi Tessellation (CVT). While the former consumes considerable memory and in turn limits us to learn only subject-specific correspondences, the latter yields much less memory footprint by compactly tessellating the interior space of a shape with optimal discretization. This facilitates the use of larger cross-subject training databases, generalizes to different human subjects and hence results in less overfitting and better detection. The discriminative correspondences are successfully integrated to both surface and volumetric deformation frameworks that recover human shape poses, which we refer to as 'tracking-by-detection of 3D human shapes.' It allows for large deformations and prevents tracking errors from being accumulated. When combined with ICP for refinement, it proves to yield better accuracy in registration and more stability when tracking over time. Evaluations on existing datasets demonstrate the benefits with respect to the state-of-the-art.

Suppression of methionine-induced colon injury of young rats by cysteine and N-acetyl-L-cysteine.

Changes in the methionine metabolism can cause a state called hyperhomocysteinemia, inducing oxidative stress in the gut. The production of free radicals is important in the colon damage caused by methionine. This study aimed at evaluating the effect of the use of L-cysteine and N-acetyl-L-cysteine on the colon morphometry of young rats treated with methionine. A total number of 32 male rats were distributed in a randomized experimental design in 4 groups: control group treated with saline; methionine group; cysteine + methionine group, and N-acetyl-L-cysteine + methionine group. After 21 days of treatment, rats were sacrificed and the colon samples were taken for histological and biochemical analysis. Methionine load increased depth of crypts, the lamina muscularis mucosae thickness, the mucosal height, and the number of cells in lamina propria (p < 0.01). Combination of methionine with L-cysteine (C group) and with N-acetyl-L-cysteine (N group) reversed methionine effects. Methionine treatment increased the GPx activity and MDA concentration, while L-cysteine and N-acetyl-L-cysteine increased the catalase activity compared to methionine group. It was concluded that the use of L-cysteine and N-acetyl-L-cysteine was beneficial to decrease intestinal mucosal height and oxidative damage when methionine was used in combination with them.

The effect of short-term treatment with lithium carbonate on the outcome of radioiodine therapy in patients with long-lasting Graves' hyperthyroidism.

OBJECTIVE: The outcome of radioiodine therapy (RIT) in Graves' hyperthyroidism (GH) mainly depends on radioiodine (131I) uptake and the effective half-life of 131I in the gland. Studies have shown that lithium carbonate (LiCO3) enhances the 131I half-life and increases the applied thyroid radiation dose without affecting the thyroid 131I uptake. We investigated the effect of short-term treatment with LiCO3 on the outcome of RIT in patients with long-lasting GH, its influence on the thyroid hormones levels 7 days after RIT, and possible side effects. METHODS: Study prospectively included 30 patients treated with LiCO3 and 131I (RI-Li group) and 30 patients only with 131I (RI group). Treatment with LiCO3 (900 mg/day) started 1 day before RIT and continued 6 days after. Anti-thyroid drugs withdrawal was 7 days before RIT. Patients were followed up for 12 months. We defined a success of RIT as euthyroidism or hypothyroidism, and a failure as persistent hyperthyroidism. RESULTS: In RI-Li group, a serum level of Li was 0.571 ± 0.156 mmol/l before RIT. Serum levels of TT4 and FT4 increased while TSH decreased only in RI group 7 days after RIT. No toxic effects were noticed during LiCO3 treatment. After 12 months, a success of RIT was 73.3% in RI and 90.0% in RI-Li group (P < 0.01). Hypothyroidism was achieved faster in RI-Li (1st month) than in RI group (3rd month). Euthyroidism slowly decreased in RI-Li group, and not all patients became hypothyroid for 12 months. In contrast, euthyroidism rapidly declined in RI group, and all cured patients became hypothyroid after 6 months. CONCLUSION: The short-term treatment with LiCO3 as an adjunct to 131I improves efficacy of RIT in patients with long-lasting GH. A success of RIT achieves faster in lithium-treated than in RI group. Treatment with LiCO3 for 7 days prevents transient worsening of hyperthyroidism after RIT. Short-term use of LiCO3 shows no toxic side effects.

The Impact of 22q11.2 Microdeletion on Cardiac Surgery Postoperative Outcome.

22q11.2 microdeletion is the most common microdeletion in humans. The purpose of this study was to evaluate postoperative outcome in children with 22q11.2 microdeletion who had undergone complete surgical correction of a congenital heart defect. The study included 34 patients who underwent complete correction of conotruncal heart defects. Of these, 17 patients diagnosed with 22q11.2 microdeletion represent the investigated group. Another 17 patients without 22q11.2 microdeletion represent the control group. Investigated and control groups differ significantly for total length of stay in the hospital (average 37.35 and 14.12 days, respectively); length of postoperative stay in the intensive care unit (average 10.82 and 6.76 days, respectively); sepsis (eight and two patients, respectively); administration of antibiotics (15 and seven patients, respectively); duration of antibiotic therapy (average 17.65 and 14.59 days, respectively); occurrence of hypocalcemia (16 and 0 patients, respectively); and initiation of peroral nutrition during the postoperative course (average 10.29 and 3.88 days, respectively). No difference was found for duration of ventilatory support (average 6.12 and 4.24 days, respectively), administration of total parenteral nutrition, and postoperative mortality rate. The study results suggest that genotype of 22q11.2 microdeletion affects postoperative outcome after cardiac surgery. Possible targets for intervention in postoperative intensive care management are prevention and treatment of systemic infections, monitoring, and treatment of hypocalcemias, rational administration of antibiotics and careful planning of nutrition. Consequently, this could shorten patients' intensive care stay and overall duration of hospitalization.

Tricuspid atresia associated with aortopulmonary window: diagnostic and therapeutic dilemmas.

The association of tricuspid atresia with aortopulmonary window is exceptionally rare. We report a patient with tricuspid atresia, normally related great arteries, non-restrictive ventricular septal defect, and no pulmonary stenosis (type IC) with an aortopulmonary window who underwent successful initial surgical palliation. The unique anatomical feature of this case, other than the presence of the aortopulmonary window, was the absence of pulmonary stenosis at the level of either the ventricular septal defect or the pulmonary valve. All other reported cases have described some degree of restriction of anterograde pulmonary flow due to pulmonary stenosis or atresia.

Comparison of high glucose concentration blood and crystalloid cardioplegia in paediatric cardiac surgery: a randomized clinical trial.

OBJECTIVES: This study investigates the effects of high glucose content on patients undergoing cold crystalloid versus cold blood cardioplegia in terms of early clinical results, functional myocardial recovery and ischaemia-reperfusion injury in patients undergoing repair of acyanotic cardiac lesions. METHODS: Patients were randomly assigned to receive either crystalloid (n = 31) or blood cardioplegia (n = 31). Early clinical results were assessed. Changes in left ventricular fractional shortening, arterial blood lactate levels, central venous saturation, cardiac Troponin I release and blood glucose concentration were measured during the first 24 h after ischaemia. RESULTS: There was no significant difference in clinical outcomes and postoperative complication rates between groups. The postoperative changes in left ventricular function, lactate levels, central venous saturation and Troponin I were not significantly different between groups. The use of crystalloid cardioplegia was associated with significant increases in serum glucose compared with blood cardioplegia. CONCLUSIONS: A high glucose content blood cardioplegia does not show any advantage compared with crystalloid cardioplegia in terms of clinical outcomes, functional recovery and the degree of ischaemic injury in infants and children undergoing repair of acyanotic heart lesions. High glucose concentration of the cardioplegic solution might potentiate ischaemia-reperfusion injury and diminish the beneficial effects of blood cardioplegia.

3D Pictorial Structures Revisited: Multiple Human Pose Estimation.

We address the problem of 3D pose estimation of multiple humans from multiple views. The transition from single to multiple human pose estimation and from the 2D to 3D space is challenging due to a much larger state space, occlusions and across-view ambiguities when not knowing the identity of the humans in advance. To address these problems, we first create a reduced state space by triangulation of corresponding pairs of body parts obtained by part detectors for each camera view. In order to resolve ambiguities of wrong and mixed parts of multiple humans after triangulation and also those coming from false positive detections, we introduce a 3D pictorial structures (3DPS) model. Our model builds on multi-view unary potentials, while a prior model is integrated into pairwise and ternary potential functions. To balance the potentials' influence, the model parameters are learnt using a Structured SVM (SSVM). The model is generic and applicable to both single and multiple human pose estimation. To evaluate our model on single and multiple human pose estimation, we rely on four different datasets. We first analyse the contribution of the potentials and then compare our results with related work where we demonstrate superior performance.

Short term treatment with lithium carbonate as adjunct to radioiodine treatment for long-lasting Graves' hyperthyroidism.

OBJECTIVE: Lithium carbonate is primarily used for the treatment of patients with bipolar affective disorders. Initial treatment of Graves' hyperthyroidism (GHT) with antithyroid drugs (ATD) has limitations at over 50% of treated patients because of significant side effects and relatively high relapses of the disease after drugs withdrawal. Till now, the influence of LiCO3on RIT outcome was mainly studied in patients with recent onset of GHT, and results were contradicted. Meta-analysis of case-control studies showed higher rated hypothyroidism in patients with mood disorders treated with LiCO3(121/869) than in controls (10/578). Although in a small number of patients (n=28) with long-lasting GHT, preliminary results of ours showed that ¹³¹I treatment with LiCO3for 7 days significantly improved the efficacy of RIT versus the non-LiCO3treated patients (P<0.001). Lithium treated patients were cured faster (12 of 13 patients were cured after one month) than those treated only with ¹³¹I (8 patients were cured after one and 11/15 patients after 12 months). Fewer patients treated with ¹³¹I and LiCO3had persistent hyperthyroidism than those treated with ¹³¹I alone. There were no toxic effects of LiCO3during 7 days treatment. CONCLUSION: These observations indicate of that short-term treatment with LiCO3in GHT patients as adjunct to ¹³¹I-NaI improves the efficacy of RIT, prevents transient exacerbation of hyperthyroidism, early induction of hypothyroidism and does not worsen ophthalmopathy.

[The Role of Two-Dimensional Echocardiography in Diagnostics of Coarctation of the Aorta in Newborns].

INTRODUCTION: Diagnosis of neonatal coarctation of the aorta (CoA) still presents a challenge in routine practice because of absence of reliable morphologic and functional parameters for early detection of this congenital heart defect in newborns. OBJECTIVE: The aim of this study is to identify easy obtainable two-dimensional echocardiographic parameters for detection of the CoA in newborns. METHODS: Echocardiographic evaluation was performed in 30 newborns with CoA and 20 healthy neonates (control group). Measurements of the proximal transverse arch (PTA), distal transverse arch (DTA), isthmus, distance between the left common carotid artery (LCCA) at the origin of the left subclavian artery (LSA), were obtained by two-dimensional echocardiography. Aortic arch hypoplasia was defined using Mouleart, Karl and Mee criteria, and Z-value. Index 1 was calculated as a ratio of DTA and distance between origins LCCA-LSA, Index 2 was calculated as a ratio of the ascending aorta and the distance between LCCA-LSA origins, and Index 3 was calculated as a ratio of PTA and distance between LCCA-LSA origins. RESULTS: Index 1 was significantly lower in patients with CoA in comparison with control group (0.50 vs. 1.39; p≤0.01). A cut-off point at 0.39, for Index 1, showed a sensitivity of 92% and specificity of 99% for the diagnosis of neonatal CoA, while cut off points at 0.69 and 0.44, for Index 2 and Index 3, showed the highest sensitivity and specificity for the diagnosis of CoA in newborns. CONCLUSION: By using these echo indexes, two-dimensional echocardiographic aortic arch measurement becomes a simple, reliable noninvasive method for the evaluation of aortic coarctation in newborns and may lead to earlier diagnosis and subsequent surgical correction.