Anatomical Constraints Research Articles

Capnography-assisted airway management by awake blind nasal intubation in maxillofacial surgeries: An observational study

Background: Maxillofacial surgery patients frequently pose challenges to airway management due to anatomical and functional constraints. While fiber-optic-aided nasotracheal intubation is considered the gold standard, not all medical facilities have access to fiber-optic bronchoscopes, particularly in low-resource settings. In such situations, awake nasal tracheal intubation is often the safest approach for managing patients with known or suspected difficult airways. Aims and Objectives: (1) To assess the technique of capnography-assisted airway management by awake blind nasal intubation (ABNI) in maxillofacial surgeries. (2) To find out any complications encountered by the technique of capnography-assisted airway management by ABNI in maxillofacial surgeries. Materials and Methods: 40 patients undergoing various maxillofacial surgeries and in whom blind nasotracheal intubation was attempted were included in this study. The institutional ethical committee approved the study, and informed consent was obtained from all the patients. The number of attempts for ABNI, successful versus failed ABNI, and complications encountered were studied. SSPS 21.0 software was used for statistical analysis. Results: There were 23 (57.50%) males and 17 (42.50%) females. There was a male preponderance, with the M: F ratio being 1:0.73. The mean age of the patients was 40.97±8.92 years. In 36 (90%) of the patients, the intubation could be successfully done. In 19 (47.50%) patients, blind nasal intubation was successfully done in the first attempt; 2 attempts were required in 15 (37.50%) patients, and 3 attempts were required in 2 (5%) patients. Epistaxis (10%) and sore throats (7.5%) were the most common complications in the studied cases. Conclusion: Capnography-assisted ABNI is an effective technique for airway control in patients undergoing maxillofacial surgeries with an acceptable complication rate.

Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation.

The number of robot-assisted minimally invasive surgeries is increasing annually, together with the need for dedicated and effective training. Surgeons need to learn how to address the novel control modalities of surgical instruments and the loss of haptic feedback, which is a common feature of most surgical robots. High-fidelity physical simulation has proved to be a valid training tool, and it might help in fulfilling these learning needs. In this regard, a high-fidelity sensorized simulator of vascular structures was designed, fabricated and preliminarily validated. The main objective of the simulator is to train novices in robotic surgery to correctly perform vascular resection procedures without applying excessive strain to tissues. The vessel simulator was integrated with soft strain sensors to quantify and objectively assess manipulation skills and to provide real-time feedback to the trainee during a training session. Additionally, a portable and user-friendly training task board was produced to replicate anatomical constraints. The simulator was characterized in terms of its mechanical properties, demonstrating its realism with respect to human tissues. Its face, content and construct validity, together with its usability, were assessed by implementing a training scenario with 13 clinicians, and the results were generally positive.

Clinical outcomes of patients referred for left atrial appendage exclusion who did and did not undergo the procedure

BackgroundLeft atrial appendage exclusion (LAAE) is an effective alternative to long-term anticoagulation in patients with atrial fibrillation. Not all patients considered for LAAE undergo the procedure because of ineligibility, anatomic or medical constraints, and preference of the patient. ObjectiveThe objective of this study was to report on the management strategies and long-term clinical outcomes of patients referred to a dedicated multidisciplinary LAAE clinic, including all who subsequently did and did not undergo LAAE. MethodsThis was a retrospective analysis of prospectively acquired data from all patients referred to the comprehensive multidisciplinary LAAE clinic at the University of Michigan between 2016 and 2022. A consecutive 301 patients (age, 75 ± 8 years; 106 women) with atrial fibrillation were evaluated. LAAE was performed in 168 patients (56%) with use of the Watchman device in 146 (49%) and surgically in 22 (7%). LAAE was not performed in 133 patients (44%, no-LAAE group) because of ineligibility in 62 (21%), anatomic constraints in 23 (7%), and preference of the patient in 48 (36%). The CHA2DS2-VASc score (4.7 ± 1.5 vs 4.1 ± 1.6; P = .002) and HAS-BLED score (3.4 ± 1.0 vs 2.8 ± 1.1; P < .001) were higher in the LAAE groups. ResultsAnticoagulant therapy was discontinued in 137 of 146 (94%) and 61 of 133 (61%) in the Watchman and no-LAAE groups, respectively (P < .001). During a median follow-up of 2.2 years (interquartile range, 1.2–4.0 years), in the LAAE (n = 168) and no-LAAE (n = 133) groups, respectively, 39 (23%) vs 29 (22%) deaths, 13 (8%) vs 5 (4%) thromboembolic events, and 24 (14%) vs 23 (17%) bleeding complications occurred. Continued long-term anticoagulation was not a predictor of clinical outcomes. ConclusionAfter a comprehensive evaluation in a multidisciplinary clinic, ∼50% of the patients referred for LAAE did not proceed with LAAE and resumed anticoagulation.

Developing cortex is functionally pluripotent: Evidence from blindness

How rigidly does innate architecture constrain function of developing cortex? What is the contribution of early experience? We review insights into these questions from visual cortex function in people born blind. In blindness, occipital cortices are active during auditory and tactile tasks. What ‘cross-modal’ plasticity tells us about cortical flexibility is debated. On the one hand, visual networks of blind people respond to higher cognitive information, such as sentence grammar, suggesting drastic repurposing. On the other, in line with ‘metamodal’ accounts, sighted and blind populations show shared domain preferences in ventral occipito-temporal cortex (vOTC), suggesting visual areas switch input modality but perform the same or similar perceptual functions (e.g., face recognition) in blindness. Here we bring these disparate literatures together, reviewing and synthesizing evidence that speaks to whether visual cortices have similar or different functions in blind and sighted people. Together, the evidence suggests that in blindness, visual cortices are incorporated into higher-cognitive (e.g., fronto-parietal) networks, which are a major source long-range input to the visual system. We propose the connectivity-constrained experience-dependent account. Functional development is constrained by innate anatomical connectivity, experience and behavioral needs. Infant cortex is pluripotent, the same anatomical constraints develop into different functional outcomes.

AMSC-Net: Anatomy and multi-label semantic consistency network for semi-supervised fluid segmentation in retinal OCT

Automated segmentation of pathological fluid regions is crucial for digital diagnosis and individualized therapy under optical coherence tomography (OCT) images. Nonetheless, methods that rely on enormous annotations impede their clinical applications, as pixel-wise fine-grained labels are extraordinarily costly and require the expertise of ophthalmology. Though there exist works based on consistency-based and pseudo-label-based methods for reducing annotation reliance, the underutilization of consistency mechanisms and ignorance of fluid anatomical structures result in sub-optimal segmentation performance. In this work, we proposed a novel AMSC-Net devoted to semi-supervised fluid segmentation and achieves a 73.95% Dice score with 5% labeled data. Concretely, we developed a Heterogeneous Architecture Consistency (HAC) strategy based on our dual decoders enjoying different inductive biases. Moreover, we invented a Multi-label Semantic Consistency Loss (MSC-Loss) module in hierarchical semantic features and an Anatomy Contour Consistency Loss (ACC-Loss) module integrating anatomical constraint. These modules complementarily reinforce the quality of pseudo labels and boost semi-supervised training for robust segmentation results. To verify the superiority and bedside potential of our proposed AMSC-Net, we collected a large-scale fluid segmentation dataset composed of 22517 OCT images. Extensive quantitative and qualitative experiments validated the efficacy of our AMSC-Net with multiple novel techniques. Also, experimental results in a public fluid segmentation dataset demonstrated that our method achieves state-of-the-art performance. Code will be available at: https://github.com/ZeroOneGame/S4_Fluid_OCT.

Permanent pacemaker implantation with hybrid endocardial perventricular approach in infancy: May be an alternative route in the absence of epicardial lead

AbstractDespite the advancements in technology, establishing the optimal implantation technique for pediatric patients with a pacemaker (PM) indication remains challenging. Although the implantation of an epicardial PM is recommended, especially in children weighing less than 10 kg, transventricular placement of endocardial leads can be performed safely, offering a practical substitute for an epicardial pacing system, particularly in situations where a transvenous approach is unfeasible due to patient size, anatomical constraints or epicardial PM leads were not available as in our case.

Tooth Alignment Network Based on Landmark Constraints and Hierarchical Graph Structure.

Automatic tooth alignment target prediction is vital in shortening the planning time of orthodontic treatments and aligner designs. Generally, the quality of alignment targets greatly depends on the experience and ability of dentists and has enormous subjective factors. Therefore, many knowledge-driven alignment prediction methods have been proposed to help inexperienced dentists. Unfortunately, existing methods tend to directly regress tooth motion, which lacks clinical interpretability. Tooth anatomical landmarks play a critical role in orthodontics because they are effective in aiding the assessment of whether teeth are in close arrangement and normal occlusion. Thus, we consider anatomical landmark constraints to improve tooth alignment results. In this article, we present a novel tooth alignment neural network for alignment target predictions based on tooth landmark constraints and a hierarchical graph structure. We detect the landmarks of each tooth first and then construct a hierarchical graph of jaw-tooth-landmark to characterize the relationship between teeth and landmarks. Then, we define the landmark constraints to guide the network to learn the normal occlusion and predict the rigid transformation of each tooth during alignment. Our method achieves better results with the architecture built for tooth data and landmark constraints and has better explainability than previous methods with regard to clinical tooth alignments.

A novel classification and management scheme for craniocervical junction disorders with ventral neural element compression.

Craniocervical junction (CCJ) pathologies with ventral neural element compression are poorly understood, and appropriate management requires accurate understanding, description, and a more uniform nomenclature. The aim of this study was to evaluate patients to identify anatomical clusters and better classify CCJ disorders with ventral compression and guide treatment. A retrospective review of adult and pediatric patients with ventral CCJ compression from 2008 to 2022 at a single center was performed. The incidence of anatomical abnormalities and compressive etiologies was assessed. Surgical approach, radiographic data, and outcomes were recorded. Association rules analysis (ARA) was used to assess variable clustering. Among 51 patients, the main causes of compression were either purely bony (retroflexed dens [n = 18]; basilar invagination [BI; n = 13]) or soft tissue (degenerative pannus [n = 16]; inflammatory pannus [n = 2]). The primary cluster in ARA was a retroflexed dens, platybasia, and Chiari malformation (CM), and the secondary cluster was BI, C1-2 subluxation, and reducibility. These, along with degenerative pannus, formed the three major classes. In assessing the optimal treatment strategy, reducibility was evaluated. Of the BI cases, 12 of the 13 patients had anterolisthesis of C1 that was potentially reducible, compared with 2 of the 18 patients with a retroflexed dens (both with concomitant BI), and no pannus cases. The mean C1-2 facet angle was significantly higher in BI at 32.4°, compared with -2.3° in retroflexed dens and 8.1° in degenerative pannus (p < 0.05). Endonasal decompression with posterior fixation was performed in 48 (94.0%) of the 51 patients, whereas posterior reduction/fixation alone was performed in 3 patients (6.0%). Of 16 reducible cases, open posterior reduction alone was successful in 3 (60.0%) of 5 cases, with all successes containing isolated BI. Reduction was not attempted if vertebral anatomy was unfavorable (n = 9) or the C1 lateral mass was absent (n = 5). The mean follow-up was 28 months. Symptoms improved in 88.9% of patients and were stable in the remaining 11.1%. Tracheostomy and percutaneous G-tube placement occurred in 7.8% and 11.8% of patients, respectively. Reoperation for an endonasal CSF leak repair or posterior cervical wound revision both occurred in 3.9% of patients. In classifying, one cluster caused decreased posterior fossa volume due to an anatomical triad of retroflexed dens, platybasia, and CM. The second cluster caused pannus formation due to degenerative hypertrophy. For both, endonasal decompression with posterior fixation was ideal. The third group contained C1 anterolisthesis characterized by a steep C1-2 facet angle causing reducible BI. Posterior reduction/fixation is the first-line treatment when anatomically feasible or endonasal decompression with in situ posterior fixation when anatomical constraints exist.

Mapping and ablation of ventricular arrhythmias arising from the left ventricular summit.

The left ventricular summit (LVS) refers to the highest portion of the left ventricular outflow tract (LVOT). It is an epicardially delimited triangular area by the left coronary arteries and the coronary venous circulation. Its deep myocardium correlates closely with the left coronary cusp, aortic-mitral continuity, and right ventricular outflow tract (RVOT), complicating the anatomical relationship. Ventricular arrhythmias (VAs) originating from this area are common, accounting for 14.5% of all VAs origin from left ventricle. Specific electrocardiogram (ECG) characteristics may assist in locating LVS-VAs pre-procedure and facilitate procedure planning. However, catheter ablation of LVS-VAs remains challenging because of anatomical constraints. This paper reviews the recent understanding of LVS anatomy, concludes ECG characteristics, and summarizes current mapping and ablation methods for LVS-VAs.

Improved Estimation of Elbow Flexion Angle from IMU Measurements Using Anatomical Constraints

ObjectivesInertial Measurement Units (IMUs) are a valid alternative to optical tracking systems for human motion capture, but they are subject to several disturbances that limit their accuracy. We aim to improve the accuracy of elbow joint angle estimation from IMU measurements by introducing a novel postprocessing algorithm that uses anatomical constraints and does not require any prior calibration or knowledge of anthropometric parameters. Materials and MethodsWe propose a new error model that addresses sensor misalignment and fusion errors. We use an error state extended Kalman filter (ESEKF) with state constraints to integrate the anatomical constraints. We validate the proposed algorithm by testing it in different scenarios and comparing it with a state-of-the-art optical tracking system. ResultsThe research results highlight the superior performance of the proposed method compared with existing techniques. The study demonstrates a significant reduction in errors, particularly in complex arm movements and under strong external disturbances. The results obtained in the three different tested scenarios underscore the robustness and effectiveness of the developed algorithm, reaching half the error committed by the existing calibration-free correction algorithms proposed in the literature. ConclusionsThe developed technique provides highly accurate estimates of joint angles in several challenging real-world scenarios.

Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge.

Navigation guidance is a key requirement for a multitude of lung interventions using video bronchoscopy. State-of-the-art solutions focus on lung biopsies using electromagnetic tracking and intraoperative image registration w.r.t. preoperative CT scans for guidance. The requirement of patient-specific CT scans hampers the utilization of navigation guidance for other applications such as intensive care units. This paper addresses bronchoscope tracking by solely incorporating video data. In contrast to state-of-the-art approaches, we entirely omit the use of electromagnetic tracking and patient-specific CT scans to avoid changes in clinical workflows and additional hardware requirements in intensive care units. Guidance is enabled by means of topological bronchoscope localization w.r.t. a generic airway model. Particularly, we take maximally advantage of anatomical constraints of airway trees being sequentially traversed. This is realized by incorporating sequences of CNN-based airway likelihoods into a hidden Markov model. Our approach is evaluated based on multiple experiments inside a lung phantom model. With the consideration of temporal context and use of anatomical knowledge for regularization, we are able to improve the accuracy up to to 0.98 compared to 0.81 (weighted F1: 0.98 compared to 0.81) for a classification based on individual frames. We combine CNN-based single image classification of airway segments with anatomical constraints and temporal HMM-based inference for the first time. Our approach shows first promising results in vision-based guidance for bronchoscopy interventions in the absence of electromagnetic tracking and patient-specific CT scans.

Anatomic Feasibility of In-Situ Fenestration for Isolate Left Subclavian Artery Preservation during Thoracic Endovascular Aortic Repair Using an Adjustable Needle Puncturing System.

To evaluate the feasibility of thoracic endovascular aortic repair (TEVAR) using the Ankura™ device (Lifetech Scientific, Shenzhen, China) with left subclavian artery (LSA) in-situ fenestration (ISF) using an adjustable puncture device system. It is a single center, retrospective, financially unsupported cohort study of TEVAR performed from 16 February 2007 to 10 January 2023. Inclusion criteria were isolate LSA revascularization for elective or urgent/emergent "zone 2" TEVAR, and the availability of the preoperative computed tomography angiography. Post-hoc analysis identified 52 TEVARs. There were 39 (75.0%) males, and 13 (25.0%) females: median age was 74.5 years (IQR, 65.5-78). Index TEVAR was performed for atherosclerotic aneurysm in 27 (51.9%) cases, dissection-related diseases in 18 (34.6%), penetrating aortic ulcer in 5 (9.6%), and blunt traumatic aortic injury in 2 (3.8%). Access-vessel feasibility rate of TEVAR using the Ankura™ device would have been 98.1% (51/52). Considering the morphology of the aortic arch, ISF TEVAR feasibility would have been 61.5% (32/52). Binary logistic regression analysis identified LSA angulation (OR: 1.1, 95%CI: 1.03-1.14, p = 0.003) to be associated with ISF feasibility using this endograft and a self-centering adjustable needle-based puncture device. Potential feasibility of TEVAR using the Ankura™ endograft with ISF using a self-centering adjustable needle system was 61.5%. Left subclavian artery angulation seems to be the most important and limiting anatomical constraint.

Retroperitoneal Soft Tissue Sarcoma: Emerging Therapeutic Strategies.

Retroperitoneal soft tissue sarcoma (RPS) is a rare and heterogenous disease for which surgery is the cornerstone of treatment. However, the local recurrence rate is much higher than in soft tissue sarcoma of the extremities since wide resection is usually unfeasible in RPS due to its large size, indistinct tumour borders, anatomical constraints and the thinness of the overlying peritoneum. Local recurrence is the leading cause of death for low-grade RPS, whereas high-grade tumours are prone to distant metastases. In recent decades, the role of emerging therapeutic strategies, such as more extended surgery and (neo)adjuvant treatments to improve oncological outcome in primary localised RPS, has been extensively investigated. In this review, the recent data on the evolving multidisciplinary management of primary localised RPS are comprehensively discussed. The heterogeneity of RPS, with their different histological subtypes and biological behaviour, renders a standard therapeutic 'one-size-fits-all' approach inappropriate, and treatment should be modified according to histological type and malignancy grade. There is sufficient evidence that frontline extended surgery with compartmental resection including all ipsilateral retroperitoneal fat and liberal en bloc resection of adjacent organs and structures, even if they are not macroscopically involved, increases local tumour control in low-grade sarcoma and liposarcoma, but not in leiomyosarcoma for which complete macroscopic resection seems sufficient. Additionally, preoperative radiotherapy is not indicated for all RPSs, but seems to be beneficial in well-differentiated liposarcoma and grade I/II dedifferentiated liposarcoma, and probably in solitary fibrous tumour. Whether neoadjuvant chemotherapy is of benefit in high-grade RPS remains unclear from retrospective data and is subject of the ongoing randomised STRASS 2 trial, from which the results are eagerly awaited. Personalised, histology-tailored multimodality treatment is promising and will likely further evolve as our understanding of the molecular and genetic characteristics within RPS improves.

Blood pressure cuff–induced radial nerve palsy following minimally invasive lateral microdiscectomy: illustrative case

BACKGROUND The authors describe a rare case of transient postoperative wrist and finger drop following a prone position minimally invasive surgery (MIS) lateral microdiscectomy. OBSERVATIONS Hand and wrist drop is an unusual complication following spine surgery, especially in prone positioning. The authors’ multidisciplinary team assessed a patient with this complication following MIS lateral microdiscectomy. The broad differential diagnosis included radial nerve palsy, C7 radiculopathy, stroke, and spinal cord injury. Given the patient’s supinator weakness, intact pronation and wrist flexion, and transient recovery within 4 weeks, the most likely diagnosis was radial nerve neuropraxia secondary to ischemic compression. After careful consideration of the operative environment and anatomical constraints, the patient’s blood pressure cuff was found to be the most probable source of compression. LESSONS Blood pressure cuff–induced peripheral nerve injury may be a source of postoperative radial nerve neuropraxia in patients undergoing spine surgery. Careful considerations must be given to the blood pressure cuff location, which should not be placed at the distal end of the humerus due to higher susceptibility of peripheral nerve compression. Spine surgeons should be aware of and appropriately localize postoperative deficits along the neuroaxis, including central versus proximal or distal peripheral injuries, in order to guide appropriate postoperative management.

Artificial CT images can enhance variation of case images in diagnostic radiology skills training

ObjectivesWe sought to investigate if artificial medical images can blend with original ones and whether they adhere to the variable anatomical constraints provided.MethodsArtificial images were generated with a generative model trained on publicly available standard and low-dose chest CT images (805 scans; 39,803 2D images), of which 17% contained evidence of pathological formations (lung nodules). The test set (90 scans; 5121 2D images) was used to assess if artificial images (512 × 512 primary and control image sets) blended in with original images, using both quantitative metrics and expert opinion. We further assessed if pathology characteristics in the artificial images can be manipulated.ResultsPrimary and control artificial images attained an average objective similarity of 0.78 ± 0.04 (ranging from 0 [entirely dissimilar] to 1[identical]) and 0.76 ± 0.06, respectively. Five radiologists with experience in chest and thoracic imaging provided a subjective measure of image quality; they rated artificial images as 3.13 ± 0.46 (range of 1 [unrealistic] to 4 [almost indistinguishable to the original image]), close to their rating of the original images (3.73 ± 0.31). Radiologists clearly distinguished images in the control sets (2.32 ± 0.48 and 1.07 ± 0.19). In almost a quarter of the scenarios, they were not able to distinguish primary artificial images from the original ones.ConclusionArtificial images can be generated in a way such that they blend in with original images and adhere to anatomical constraints, which can be manipulated to augment the variability of cases.Critical relevance statementArtificial medical images can be used to enhance the availability and variety of medical training images by creating new but comparable images that can blend in with original images.Key points• Artificial images, similar to original ones, can be created using generative networks.• Pathological features of artificial images can be adjusted through guiding the network.• Artificial images proved viable to augment the depth and broadening of diagnostic training.Graphical

Osteomyelitis of the Ischium in a Hemodialysis Dependent Adult – A Rare Case Report

Introduction: Osteomyelitis of the pelvis is rare, and the correct diagnosis may be missed during the early stage when the correct treatment would be most beneficial. Osteomyelitis requires multidisciplinary treatment to cure or control symptoms. Case Presentation: A 71-year-old woman, with end stage renal disease on hemodialysis, presented in emergency department for purulent drainage of a right buttock swelling. A pelvic computer tomography (CT) revealed a collection of the gluteal musculature and an activated chronic osteomyelitis with one osteolytic lesion on right ischiopubic branch. The patient underwent surgical treatment, with need of two interventions. First, she was only submitted to surgical drainage of the abscess. She completed a cycle of antibiotic therapy, with good response. Two months later, she returns with fever and drainage of the surgical wound. A pelvic CT showed an area of bone destruction at right ischium, with an increase in bone sequestration. She underwent a partial orchiectomy and surgical debridement of necrotic tissues. A Klebsiella oxytoca, Proteus mirabilis and multidrug-resistant Staphylococcus epidermidis was isolated. She was on antibiotic therapy for 4 months. Three years later, she remains without new symptoms or signs of active osteomyelitis. Conclusion: Pelvic osteomyelitis represents a diagnostic challenge, because the symptoms and signs vary, depending on the initial site of infection, its duration and the direction of its spread. Osteomyelitis of the ischium is generally diagnosed in the late stage with complications. Treatment of pelvic osteomyelitis is challenging due to the anatomic constraints of the pelvis and the high degree of comorbidity in affected patients. A multidisciplinary approach is often required. This case of a chronic abscess with osteomyelitis of the ischium is rare and was neglected for months because of the absence of constitutional symptoms in a hemodialysis dependent woman.

Persistent perineal sinus following proctocolectomy in the inflammatory bowel disease patient.

Prolonged perineal wound healing following proctocolectomy in patients with inflammatory bowel disease (IBD) is a frustrating result for the medical team and patients who were hoping for improved quality of life. Prolonged healing, which lasts more than 6 months following proctocolectomy, is termed persistent perineal sinus (PPS) and typically necessitates further surgical management. Healing of the PPS is difficult due to the resulting "dead space" following proctocolectomy, necessitating the need to fill the void with viable tissue in an area with anatomic constraints. Here we provide a narrative review and comprehensively address the incidence, pathogenesis, and clinical and operative management of a PPS in patients with IBD following proctocolectomy. Operative methods discussed include surgical debridement, flap closure of the perineum, omental flap closure, and gracilis muscle transposition. It is necessary to further investigate and establish a gold standard of care for these patients.

Treatment of intrahepatic cholangiocarcinoma: evidence for the role of percutaneous ablation

Intrahepatic cholangiocarcinoma (iCCA) is a rare cancer with generally poor prognosis. In this narrative review, we examine the role of thermal ablation and summarize the current literature. Radiofrequency ablation (RFA) and microwave ablation (MWA) are both safe and well-tolerated as a minimally invasive local curative treatment option for patients suffering from primary and secondary liver tumors. Both methods can be used in patients with medical morbidities that would preclude surgery, as well as individuals with anatomical or functional constraints that impede liver resection. In unresectable iCCA, the median OS after conventional percutaneous US- or CT-guided RFA and MWA is between 20 and 39 months and 10 and 28 months, respectively. In recurrent iCCA, percutaneous RFA and MWA achieved a median OS of 21-27 months and 21-31 months, respectively. These data are comparable to long-term outcomes after surgical resection (SR), with the number of nodules and tumor size affecting prognosis. Stereotactic radiofrequency ablation (SRFA) allows for effective treatment of large and multiple iCCA nodules within one session and achieves short- and long-term results in inoperable patients compared with resection. With the addition of SRFA as an alternative treatment option, the proportion of patients who can be treated with curative treatment has significantly increased. In the absence of prospective trials comparing thermal ablation and surgical resection, we recommend a patient-specific decision-making process. Future research to identify technical and clinical prognostic criteria, as well as molecular markers of tumor biology, may help select patients for ablation and subsequent outcomes.

Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography

BackgroundMeasurement of the left ventricular outflow tract diameter (LVOTd) in echocardiography is a common source of error when used to calculate the stroke volume. The aim of this study is to assess whether a deep learning (DL) model, trained on a clinical echocardiographic dataset, can perform automatic LVOTd measurements on par with expert cardiologists.MethodsData consisted of 649 consecutive transthoracic echocardiographic examinations of patients with coronary artery disease admitted to a university hospital. 1304 LVOTd measurements in the parasternal long axis (PLAX) and zoomed parasternal long axis views (ZPLAX) were collected, with each patient having 1–6 measurements per examination. Data quality control was performed by an expert cardiologist, and spatial geometry data was preserved for each LVOTd measurement to convert DL predictions into metric units. A convolutional neural network based on the U-Net was used as the DL model.ResultsThe mean absolute LVOTd error was 1.04 (95% confidence interval [CI] 0.90–1.19) mm for DL predictions on the test set. The mean relative LVOTd errors across all data subgroups ranged from 3.8 to 5.1% for the test set. Generally, the DL model had superior performance on the ZPLAX view compared to the PLAX view. DL model precision for patients with repeated LVOTd measurements had a mean coefficient of variation of 2.2 (95% CI 1.6–2.7) %, which was comparable to the clinicians for the test set.ConclusionDL for automatic LVOTd measurements in PLAX and ZPLAX views is feasible when trained on a limited clinical dataset. While the DL predicted LVOTd measurements were within the expected range of clinical inter-observer variability, the robustness of the DL model requires validation on independent datasets. Future experiments using temporal information and anatomical constraints could improve valvular identification and reduce outliers, which are challenges that must be addressed before clinical utilization.Graphical

Quantum Entanglement of the Brain, Dynamics of Information, and Intelligent Finance

Our research forms two directions, the first considers two approaches to the brain, one based on classical mechanics, the second using quantum physics, the second direction of research refers to the dynamics of0 information as an interaction between differential geometry, mathematical statistics, probability theory. and quantum mechanics which led to the construction of classical and quantum information geometry. Financial entanglement is multidimensiona in time and space, dynamic, less understood and interesting because it functions in real life, like the brain. Neuroscientists who focus on mathematical frameworks for how the brain’s shape affects its activity—an area of mathematical neuroscience called neural field theory  will begin to understand the relationship between brain shape, structure, and function in yet another way. Analysis of research into the geometry of the brain’s contours, that is, the way in which brain activity resonates over and through its architecture, is perhaps more significant than the connections between neurons. Research by scientists from the University of Sydney and Monash University showed that the overall shape and geometry of the human brain – its contours and curvature – has a greater influence on brain dynamics than the internal connectivity of brain cells (Our brain shape influences how it works, 2023) in short, Australian scientists indicate the possibility of predicting brain function directly from its shape. “We have long thought that specific thoughts or sensations elicit activity in specific parts of the brain, but this study reveals that structured patterns of activity are excited across nearly the entire brain, just like the way in which a musical note arises from vibrations occurring along the entire length of a violin string, and not just an isolated segment,” (Dr J. Pang,2023).”We found that eigenmodes defined by brain geometry – its contours and curvature – represented the strongest anatomical constraint on brain function, much like the shape of a drum influences the sounds it can make” (A. Fornito, 2023). “Using mathematical models, we confirmed theoretical predictions that the close link between geometry and function is driven by wave-like activity propagating throughout the brain, just as the shape of a pond influences the wave ripples that are formed by a falling pebble” (A. Fornito, 2023).