Water Promotes Melting of a Metal-Organic Framework.

Water is one of the most reactive and abundant molecules on Earth, and it is thus crucial to understand its reactivity with various material families. One of the big unknown questions is how water in liquid and vapor forms impact the fast-emerging class of metal-organic frameworks (MOFs). Here, we discover that high-pressure water vapor drastically modifies the structure and hence the dynamic, thermodynamic, and mechanical properties of MOF glasses. In detail, we find that an archetypical MOF (ZIF-62) is extremely sensitive to heat treatments performed at 460 °C and water vapor pressures up to ∼110 bar. Both the melting and glass transition temperatures decrease remarkably (by >100 °C), and simultaneously, hardness and Young's modulus increase by up to 100% under very mild treatment conditions (<20 bar of hydrothermal pressure). Structural analyses suggest water to partially coordinate to Zn in the form of a hydroxide ion by replacing a bridging imidazolate-based linker. The work provides insight into the role of hot-compressed water in influencing the structure and properties of MOF glasses and opens a new route for systematically changing the thermodynamics and kinetics of MOF liquids and thus altering the thermal and mechanical properties of the resulting MOF glasses.

Prior Appendectomy Is Associated With a Milder Clinical Course in Crohn's Disease: A Nationwide Population-based Cohort Study.

BACKGROUND: Appendectomy may affect the clinical course of Crohn's disease (CD), but rigorous evidence is sparse and contradicting. The aim of this study was to examine the association between appendectomy and the clinical course of CD. METHODS: All patients diagnosed with CD in Denmark in the period from 1977 to 2017 were identified from the Danish National Patient Registry. Patients with appendectomy were matched with up to 10 comparators with CD and no appendectomy; and rates of CD-related hospital admissions were compared between CD patients with and without appendectomy using incidence rate ratios (IRRs). We used stratified Cox regression analysis to calculate adjusted hazard ratios (aHRs) of initiating treatment with biologics or undergoing intestinal resections. RESULTS: In all, 21 189 CD patients (1936 with appendectomy and 19 253 without) were identified and followed for a median of 13.6 years. Crohn's disease patients who had undergone appendectomy experienced a lower rate of CD-related hospital admissions (appendectomy before CD: IRR = 0.83; 95% confidence interval [CI], 0.81-0.85; appendectomy after CD: IRR = 0.85; 95% CI, 0.81-0.88) compared with CD patients without appendectomy. For patients with appendectomy before CD diagnosis, the rate of initiating biologics was lower compared with CD patients with no appendectomy (aHR1-<5 years = 0.61; 95% CI, 0.46-0.81; aHR5-<10 years 0.47; 95% CI, 0.33-0.66; aHR10-20 years = 0.61; 95% CI, 0.47-0.79), as was the risk of undergoing colorectal resections (aHR1-<5 years = 0.94; 95% CI, 0.77-1.15; aHR5-<10 years 0.63; 95% CI, 0.47-0.85; aHR10-20 years = 0.75; 95% CI, 0.54-1.04). Rates of small bowel resections were comparable for CD patients with or without appendectomy prior to CD. Appendectomy performed after CD did not influence the rate of initiating treatment with biologics or undergoing intestinal resections. CONCLUSION: The clinical course of CD is milder for those who have previously undergone appendectomy.

In a large nationwide cohort study, patients with Crohn's disease who underwent appendectomy had a milder clinical course than those without appendectomy.

AI supported fetal echocardiography with quality assessment.

This study aimed to develop a deep learning model to assess the quality of fetal echocardiography and to perform prospective clinical validation. The model was trained on data from the 18-22-week anomaly scan conducted in seven hospitals from 2008 to 2018. Prospective validation involved 100 patients from two hospitals. A total of 5363 images from 2551 pregnancies were used for training and validation. The model's segmentation accuracy depended on image quality measured by a quality score (QS). It achieved an overall average accuracy of 0.91 (SD 0.09) across the test set, with images having above-average QS scoring 0.97 (SD 0.03). During prospective validation of 192 images, clinicians rated 44.8% (SD 9.8) of images as equal in quality, 18.69% (SD 5.7) favoring auto-captured images and 36.51% (SD 9.0) preferring manually captured ones. Images with above average QS showed better agreement on segmentations (p < 0.001) and QS (p < 0.001) with fetal medicine experts. Auto-capture saved additional planes beyond protocol requirements, resulting in more comprehensive echocardiographies. Low QS had adverse effect on both model performance and clinician's agreement with model feedback. The findings highlight the importance of developing and evaluating AI models based on 'noisy' real-life data rather than pursuing the highest accuracy possible with retrospective academic-grade data.

Artificial intelligence model for segmentation and severity scoring of osteophytes in hand osteoarthritis on ultrasound images.

Objective: To develop an artificial intelligence (AI) model able to perform both segmentation of hand joint ultrasound images for osteophytes, bone, and synovium and perform osteophyte severity scoring following the EULAR-OMERACT grading system (EOGS) for hand osteoarthritis (OA). Methods: One hundred sixty patients with pain or reduced function of the hands were included. Ultrasound images of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), distal interphalangeal (DIP), and first carpometacarpal (CMC1) joints were then manually segmented for bone, synovium and osteophytes and scored from 0 to 3 according to the EOGS for OA. Data was divided into a training, validation, and test set. The AI model was trained on the training data to perform bone, synovium, and osteophyte identification on the images. Based on the manually performed image segmentation, an AI was trained to classify the severity of osteophytes according to EOGS from 0 to 3. Percent Exact Agreement (PEA) and Percent Close Agreement (PCA) were assessed on individual joints and overall. PCA allows a difference of one EOGS grade between doctor assessment and AI. Results: A total of 4615 ultrasound images were used for AI development and testing. The developed AI model scored on the test set for the MCP joints a PEA of 76% and PCA of 97%; for PIP, a PEA of 70% and PCA of 97%; for DIP, a PEA of 59% and PCA of 94%, and CMC a PEA of 50% and PCA of 82%. Combining all joints, we found a PEA between AI and doctor assessments of 68% and a PCA of 95%. Conclusion: The developed AI model can perform joint ultrasound image segmentation and severity scoring of osteophytes, according to the EOGS. As proof of concept, this first version of the AI model is successful, as the agreement performance is slightly higher than previously found agreements between experts when assessing osteophytes on hand OA ultrasound images. The segmentation of the image makes the AI explainable to the doctor, who can immediately see why the AI applies a given score. Future validation in hand OA cohorts is necessary though.

Multi-modal deep learning for joint prediction of otitis media and diagnostic difficulty.

Objectives: In this study, we propose a diagnostic model for automatic detection of otitis media based on combined input of otoscopy images and wideband tympanometry measurements. Methods: We present a neural network-based model for the joint prediction of otitis media and diagnostic difficulty. We use the subclassifications acute otitis media and otitis media with effusion. The proposed approach is based on deep metric learning, and we compare this with the performance of a standard multi-task network. Results: The proposed deep metric approach shows good performance on both tasks, and we show that the multi-modal input increases the performance for both classification and difficulty estimation compared to the models trained on the modalities separately. An accuracy of 86.5% is achieved for the classification task, and a Kendall rank correlation coefficient of 0.45 is achieved for difficulty estimation, corresponding to a correct ranking of 72.6% of the cases. Conclusion: This study demonstrates the strengths of a multi-modal diagnostic tool using both otoscopy images and wideband tympanometry measurements for the diagnosis of otitis media. Furthermore, we show that deep metric learning improves the performance of the models.

Impact of tumor subsite on survival outcomes in oral squamous cell carcinoma: A retrospective cohort study from 2000 to 2019.

BACKGROUND: Oral squamous cell carcinoma (OSCC) is responsible for high morbidity and mortality worldwide. Although the oral cavity encompasses different anatomical subsites, it is unclear whether subsite localization of carcinoma influences outcome. METHODS: This retrospective cohort study examined overall survival (OS), recurrence-free survival (RFS) and local recurrence-free survival (L-RFS) at different subsites by Kaplan-Meier survival curves. Cox proportional hazards regression analysis was performed to investigate the impact of subsite on overall death, locoregional recurrence, and local recurrence. RESULTS: The cohort included 1702 patients treated with curative intent for OSCC according to standardized national guidelines. The 5-year OS was superior in oral tongue to retromolar trigone as well as in both oral tongue and floor-of-mouth (FOM) compared to tumors involving multiple locations. The 3-year RFS in oral tongue and FOM was superior to tumors involving multiple locations, and in FOM compared to retromolar trigone. The 3-year L-RFS in oral tongue and FOM was higher than gingiva, retromolar trigone and tumors involving multiple locations. Adjusting for relevant covariables using oral tongue as reference, tumors involving multiple locations was the only category presenting higher risk for locoregional recurrence, while risk of local recurrence was higher in gingiva, retromolar trigone, hard palate and to tumors involving multiple locations. The study found no difference in risk of death between subsites. CONCLUSION: The study found differences in survival outcomes between subsites. After adjusting for covariables, subsite mainly had significant impact on local recurrence, with no distinct pattern of influence on overall death or locoregional recurrence.

Quantification of contaminant mass discharge from point sources in aquitard/aquifer systems based on vertical concentration profiles and 3D modeling.

Point sources with contaminants, such as chlorinated solvents, per- and polyfluoroalkyl substances (PFAS), or pesticides, are often located in low-permeability aquitards, where they can act as long-term sources and threaten underlying groundwater resources. We demonstrate the use of a 3D numerical model integrating comprehensive hydrogeological and contamination data to determine the contaminant mass discharge (CMD) from an aquitard into the underlying aquifer. A mature point source with a dissolved chlorinated solvent in a clayey till is used as an example. The quantitative determination is facilitated by model calibration to high-resolution vertical concentration profiles obtained by direct-push sampling techniques in the aquifer downgradient of the contaminant source zone. The concentration profiles showed a plume sinking with distance from the source characteristic for such aquitard/aquifer settings. The sinking is caused by the interplay between infiltrating water and horizontal groundwater flow. The application of 3D solute transport modeling on high-resolution profiles allowed for determining the infiltration rate, the hydraulic conductivity in the aquitard, and, ultimately, the CMD. Different source zone conceptualizations demonstrate the potential effects of fractures and sorption in source zones in aquitards on CMD development. Fractures in the aquitard had a minor influence on the current CMD determined with the presented approach. Still, fractures with hydraulic apertures larger than 10 µm were crucial for the temporal development of the CMD and plume. A thorough characterization of the source zone conditions combined with high-resolution concentration profiles and detailed modeling is valuable for shedding light on the probable future development of groundwater contamination arising from sources in aquitard/aquifer settings and evaluating remedial actions.

Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition.

Flow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed between donors of the two types.

Diagnostic Value of Preoperative uPAR-PET/CT in Regional Lymph Node Staging of Oral and Oropharyngeal Squamous Cell Carcinoma: A Prospective Phase II Trial.

The detection of lymph node metastases is a major challenge in oral and oropharyngeal squamous cell carcinoma (OSCC and OPSCC). 68Ga-NOTA-AE105 is a novel positron emission tomography (PET) radioligand with high affinity to urokinase-type plasminogen activator receptor (uPAR), a receptor expressed on the surfaces of tumor cells. The aim of this study was to investigate the diagnostic value of uPAR-PET/CT (computerized tomography) in detecting regional metastatic disease in patients with OSCC and OPSCC compared to the current imaging work-up. In this phase II trial, patients with OSCC and OPSCC referred for surgical treatment were prospectively enrolled. Before surgery, 68Ga-NOTA-AE105 uPAR-PET/CT was conducted, and SUVmax values were obtained from the primary tumor and the suspected lymph nodes. Histology results from lymph nodes were used as the standard of truth of metastatic disease. The diagnostic values of 68Ga-uPAR-PET/CT were compared to conventional routine preoperative imaging results (CT and/or MRI). The uPAR expression in resected primary tumors and metastases was determined by immunohistochemistry and quantified digitally (H-score). A total of 61 patients underwent uPAR-PET/CT. Of the 25 patients with histologically verified lymph node metastases, uPAR-PET/CT correctly identified regional metastatic disease in 14 patients, with a median lymph node metastasis size of 14 mm (range 3-27 mm). A significant correlation was found between SUVmax and the product of the H-score and tumor depth (r = 0.67; p = 0.003). The sensitivity and specificity of uPAR-PET/CT in detecting regional metastatic disease were 56% and 100%, respectively. When added to CT/MRI, uPAR-PET was able to upstage 2/11 (18%) of patients with occult metastases and increase the sensitivity to 64%. The sensitivity and specificity of 68Ga-NOTA-AE105 uPAR-PET/CT were equivalent to those of CT/MRI. The significant correlation between SUVmax and uPAR expression verified the target specificity of 68Ga-NOTA-AE105. Despite the target specificity, the sensitivity of imaging is too low for nodal staging and it cannot replace neck dissection.

Factors Associated With Sinoatrial Reinnervation After Heart Transplantation.

Background: Factors associated with sympathetic and parasympathetic sinoatrial reinnervation after heart transplantation (HTx) are inadequately studied. Methods: Fifty transplant recipients were examined at 7 to 12 wk (index visit), 6, 12, 24, and 36 mo after HTx. Supine rest heart rate variability in the low-frequency (LF) domain (sympathetic and parasympathetic sinoatrial reinnervation) and the high-frequency (HF) domain (parasympathetic sinoatrial reinnervation) were measured repeatedly and related to selected recipient, donor, and perisurgical characteristics. We primarily aimed to identify index visit factors that affect the sinoatrial reinnervation process. Secondarily, we examined overall associations between indices of reinnervation and repeatedly measured recipient characteristics to generate new hypotheses regarding the consequences of reinnervation. Results: LF and HF variability increased time dependently. In multivariate modeling, a pretransplant diagnosis of nonischemic cardiomyopathy (P = 0.038) and higher index visit handgrip strength (P = 0.028) predicted improved LF variability. Recipient age, early episodes of rejection, and duration of extracorporeal circulation were not associated with indices of reinnervation. Study average handgrip strength was positively associated with LF and HF variability (respectively, P = 0.005 and P = 0.029), whereas study average C-reactive protein was negatively associated (respectively, P = 0.015 and P = 0.008). Conclusions: Indices of both sympathetic and parasympathetic sinoatrial reinnervation increased with time after HTx. A pretransplant diagnosis of nonischemic cardiomyopathy and higher index visit handgrip strength predicted higher indices of mainly sympathetic reinnervation, whereas age, rejection episodes, and duration of extracorporeal circulation had no association. HTx recipients with higher indices of reinnervation had higher average handgrip strength, suggesting a link between reinnervation and improved frailty. The more reinnervated participants had lower average C-reactive protein, suggesting an inhibitory effect of reinnervation on inflammation, possibly through enhanced function of the inflammatory reflex. These potential effects of reinnervation may affect long-term morbidity in HTx patients and should be scrutinized in future research.

Urokinase-Type Plasminogen Activator Receptor (uPAR) Expression and [64Cu]Cu-DOTA-AE105 uPAR-PET/CT in Patient-Derived Xenograft Models of Oral Squamous Cell Carcinoma.

PURPOSE: [64Cu]Cu-DOTA-AE105 urokinase-type plasminogen activator receptor (uPAR)-PET/CT is a novel and promising imaging modality for cancer visualization, although it has not been tested in head and neck cancer patients nor in preclinical models that closely resemble these heterogenous tumors, i.e., patient-derived xenograft (PDX) models. The aim of the present study was to establish and validate oral squamous cell carcinoma (OSCC) PDX models and to evaluate [64Cu]Cu-uPAR-PET/CT for tumor imaging in these models. PROCEDURES: PDX flank tumor models were established by engrafting tumor tissue from three patients with locally advanced OSCC into immunodeficient mice. [64Cu]Cu-DOTA-AE105 was injected in passage 2 (P2) mice, and [64Cu]Cu-uPAR-PET/CT was performed 1 h and 24 h after injection. After the last PET scan, all animals were euthanized, and tumors dissected for autoradiography and immunohistochemical (IHC) staining. RESULTS: Three PDX models were established, and all of them showed histological stability and unchanged heterogenicity, uPAR expression, and Ki67 expression through passages. A significant correlation between uPAR expression and tumor growth was found. All tumors of all models (n=29) showed tumor uptake of [64Cu]Cu-DOTA-AE105. There was a clear visual concordance between the distribution of uPAR expression (IHC) and [64Cu]Cu-DOTA-AE105 uptake pattern in tumor tissue (autoradiography). No significant correlation was found between IHC (H-score) and PET-signal (SUVmax) (r=0.34; p=0.07). CONCLUSIONS: OSCC PDX models in early passages histologically mimic donor tumors and could serve as a valuable platform for the development of uPAR-targeted imaging and therapeutic modalities. Furthermore, [64Cu]Cu-uPAR-PET/CT showed target- and tumor-specific uptake in OSCC PDX models demonstrating the diagnostic potential of this modality for OSCC patients.

Short-term outcomes following total colectomy for inflammatory bowel disease in Denmark after implementation of laparoscopy: a nationwide population-based study.

AIM: A laparoscopic approach to total colectomy (TC) for inflammatory bowel disease (IBD) is being increasingly used, but data on its comparative benefits over open TC are conflicting. The aim of this study was to examine 90-day outcomes following laparoscopic and open TC for IBD in a nationwide cohort after the introduction of laparoscopy. METHOD: IBD patients undergoing TC in Denmark from 2005 to 2017 were identified from the Danish National Patient Registry. We used Kaplan-Meier methodology to estimate mortality and Cox regression analysis to estimate adjusted mortality rate ratios (aMRRs) and adjusted hazard ratios (aHRs) of reoperation, readmission and intensive care unit (ICU) transfer, comparing patients undergoing laparoscopic versus open TC. RESULTS: We identified 1095 patients undergoing laparoscopic TC and 1523 patients undergoing open TC. Following emergency TC, 90-day mortality was 2.8% (1.6%-4.9%) after laparoscopic TC and 9.1% (7.0%-11.8%) after open TC. Ninety-day mortality was 0.9% (0.3%-2.5%) after laparoscopic TC and 2.6% (1.5%-4.3%) after open elective TC. The aMRRs associated with laparoscopic TC were 0.45 (95% CI 0.25-0.80) in emergency cases and 0.29 (95% CI 0.10-0.86) in elective cases. Risks of readmission were comparable following laparoscopic versus open TC, both in emergency [aHR = 0.93 (95% CI 0.76-1.15)] and elective [aHR = 0.83 (95% CI 0.68-1.02)] cases, while risks of ICU transfer and reoperation were lower following laparoscopic TC, both in emergency cases [aHR = 0.53 (95% CI 0.35-0.82) and aHR = 0.26 (95% CI 0.15-0.47)] and elective [aHR = 0.58 (95% CI 0.35-0.95) and aHR = 0.37 (95% CI 0.21-0.66)] cases. CONCLUSION: The introduction of laparoscopic TC for IBD in Denmark was not associated with increased mortality or morbidity. In fact, laparoscopic TC for IBD may be associated with lower short-term mortality and morbidity compared with open TC.

Appendectomy and Risk of Advanced Colorectal Neoplasia in Inflammatory Bowel Disease: A Nationwide Population-based Cohort Study.

BACKGROUND: The aim of this study was to examine the association between appendectomy and advanced colorectal neoplasia (aCRN) in patients with inflammatory bowel disease (IBD). METHODS: Inflammatory bowel disease patients diagnosed in Denmark in the period 1977 to 2017 were identified from the Danish National Patient Registry. Inflammatory bowel disease patients who underwent appendectomy were matched with up to 10 IBD patients without appendectomy and followed until aCRN, death, or emigration. Absolute risks of aCRN were calculated, treating death and bowel resections as competing risks. Stratified Cox regression was used to calculate adjusted hazard ratios (aHRs) of aCRN, comparing IBD patients with appendectomy to IBD patients without appendectomy. RESULTS: We identified 3789 IBD patients with appendectomy and 37 676 IBD patients without appendectomy. A total of 573 patients (1.4%) developed aCRN, with an absolute risk of aCRN at 20 years of 4.9% (95% confidence interval [CI], 2.9%-7.7%) for ulcerative colitis (UC) patients with appendectomy after UC diagnosis compared with 2.8% (95% CI, 2.3%-3.3%) for UC patients without appendectomy. Appendectomy after UC was associated with an increased rate of aCRN 5 to 10 years (aHR, 2.5; 95% CI, 1.1-5.5) and 10 to 20 years after appendectomy (aHR, 2.3; 95% CI, 1.0-5.5). Appendectomy prior to UC diagnosis was not associated with an increased rate of aCRN, and Crohn's disease was not associated with the rate of aCRN, regardless of timing or histological diagnosis of the appendix specimen. CONCLUSIONS: Although appendectomy may have a positive effect on the clinical course of UC, our study suggests that this may come at the expense of a higher risk of aCRN.

A population-based nationwide study on total colectomy for ulcerative colitis and risk of ten prevalent inflammatory or autoimmune diseases.

BACKGROUND: There is growing evidence to support a role of the gut microbiome in the development of chronic inflammatory and autoimmune disease (IAD). We used total colectomy (TC) for ulcerative colitis (UC) as a model for a significant disruption in gut microbiome to explore an association with subsequent risk of IAD. METHODS: We identified all patients with UC and no diagnosis of IAD prior to their UC diagnosis in Denmark from 1988 to 2015. Patients were followed from the date of UC to a diagnosis of IAD, death or end of follow-up, whichever occurred first. We used Cox regression to estimate hazard ratios (HRs) of IAD associated with TC, adjusting for age, sex, Charlson Comorbidity Index, and calendar year of UC diagnosis. RESULTS: 30,507 patients with UC (3,155 with TC and 27,352 without) were identified from the Danish National Patient Registry. During 43,266 person-years of follow-up, 2733 patients were diagnosed with an IAD. The risk of any IAD was higher for patients with TC compared to patients without (adjusted HR [aHR] 1.39 (95% CI: 1.24-1.57)). When the analyses were adjusted for exposure to antibiotics, immunomodulatory medicine and biologics (covering 2005-2018), the risk of IAD was still higher for patients with total colectomy (aHR = 1.41 (95% CI: 1.09;1.83)). Disease-specific analyses were weakened by a low number of outcomes. CONCLUSIONS: The risk of IAD was higher for patients who underwent TC for UC compared to patients who did not.KEY MESSAGESWhat is already known?o The gut microbiome plays an important role in host immune homeostasis, and changes in gut bacterial diversity and composition may change the individual's risk of inflammatory and autoimmune disease (IAD).What is new here?o Patients with ulcerative colitis who undergo total colectomy have a higher risk of being diagnosed with IAD, compared to patients with ulcerative colitis who do not undergo total colectomy.How can this study help patient care?o Future research can help uncover the mechanisms responsible for the higher risk of certain IADs after total colectomy. If the microbiome plays a role, modifying the gut microbiome could prove a viable therapeutic strategy to reduce the risk of developing IADs.

In this nationwide Danish cohort study of all Danish UC patients diagnosed in the period from 1988 to 2015, the risk of being diagnosed with inflammatory and autoimmune disease is higher for patients who underwent total colectomy compared to UC patients without total colectomy.

Effect of Histopathological Explanations for Dermoscopic Criteria on Learning Curves in Skin Cancer Training: a Randomized Controlled Trial.

INTRODUCTION: Case-based training improves novices pattern recognition and diagnostic accuracy in skin cancer diagnostics. However, it is unclear how pattern recognition is best taught in conjunction with the knowledge needed to justify a diagnosis. OBJECTIVES: The aim of this study was to examine whether an explanation of the underlying histopathological reason for dermoscopic criteria improves skill acquisition and retention during case-based training in skin cancer diagnostics. METHODS: In this double-blinded randomized controlled trial, medical students underwent eight days of case-based training in skin cancer diagnostics, which included access to written diagnosis modules. The modules dermoscopic subsections differed between the study groups. All participants received a general description of the criteria, but the intervention group additionally received a histopathological explanation. RESULTS: Most participants (78%) passed a reliable test in skin cancer diagnostics, following a mean training time of 217 minutes. Access to histopathological explanations did not affect participants' learning curves or skill retention. CONCLUSIONS: The histopathological explanation did not affect the students, but the overall educational approach was efficient and scalable.

Diagnostic accuracy of combined optical- and radio-guided SNB for neck staging of oral squamous cell carcinoma lesions in the anterior oral cavity.

PURPOSE: The purpose was to investigate the diagnostic performance of bimodal optical and radio-guided sentinel node biopsy (SNB) for oral squamous cell carcinoma (OSCC) sub-sites in the anterior oral cavity. METHODS: Prospective study of 50 consecutive patients with cN0 OSCC scheduled for SNB was injected with the tracer complex Tc99m:ICG:Nacocoll. A near-infrared camera was applied for optical SN detection. Endpoints were modality for intraoperative SN detection and false omission rate at follow-up. RESULTS: In all patients, a SN could be detected. In 12/50 (24%) of cases, the SPECT/CT showed no focus in level 1, but intraoperatively a SN in level 1 was optically detected. In 22/50 cases (44%), an additional SN was identified only due to the optical imaging. At follow-up, the false omission rate was 0%. CONCLUSION: Optical imaging appears to be an effective tool to allow real-time SN identification comprising level 1 unaffected by possible interference of radiation site from the injection.

Volunteer responder provision of support to relatives of out-of-hospital cardiac arrest patients: a qualitative study.

OBJECTIVES: Smartphone dispatch of volunteer responders for out-of-hospital cardiac arrest (OHCA) is implemented worldwide. While basic life support courses prepare participants to provide CPR, the courses rarely address the possibility of meeting a family member or relative in crisis. This study aimed to examine volunteer responders' provision of support to relatives of cardiac arrest patients and how relatives experienced the interaction with volunteer responders. DESIGN: In this qualitative study, we conducted 16 semistructured interviews with volunteer responders and relatives of cardiac arrest patients. SETTING: Interviews were conducted face to face and by video and recorded and transcribed verbatim. PARTICIPANTS: Volunteer responders dispatched to cardiac arrests and relatives of cardiac arrest patients were included in the study. Participants were included from all five regions of Denmark. RESULTS: A thematic analysis was performed with inspiration from Braun and Clarke. We identified three themes: (1) relatives' experiences of immediate relief at arrival of assistance, (2) volunteer responders' assessment of relatives' needs and (3) the advantage of being healthcare educated. CONCLUSIONS: Relatives to out-of-hospital cardiac arrest patients benefited from volunteer responders' presence and support and experienced the mere presence of volunteer responders as supportive. Healthcare-educated volunteer responders felt confident and skilled to provide care for relatives, while some non-healthcare-educated volunteer responders felt they lacked the proper training and knowledge to provide emotional support for relatives. Future basic life support courses should include a lesson on how to provide emotional support to relatives of cardiac arrest patients.

Effect of near infrared autofluorescence guided total thyroidectomy on postoperative hypoparathyroidism: a randomized clinical trial.

PURPOSE: The purpose of this single-blinded, 2-centre, randomized controlled trial was to test if near-infrared (NIR) autofluorescence image guidance for parathyroid gland (PG) detection during total thyroidectomy can reduce the incidence of hypoparathyroidism in both malignant and benign cases. METHOD: Patients admitted for primary or completion total thyroidectomy were randomized to either the NIR intervention group or the standard care NONIR (no near infrared) group. The primary endpoint was the rate of hypoparathyroidism at the 3-month follow-up, defined as hypocalcemia and inappropriately low parathyroid hormone levels and/or continuous treatment with active vitamin D. The secondary endpoint was the PG identification rate. RESULTS: A total of 147 patients were included of whom 73 were allocated to NIR. Primary or completion thyroidectomy was conducted in 84 and 63 cases, respectively. A total of 130 completed 3 months follow-up. Postoperative hypoparathyroidism in the NIR group at 12 h, 1 month and 3 months was, respectively, 31.8, 14.1, 6.5% compared with 35.9, 18.9, 11.8% in the NONIR group (all p > 0.46). In the NIR group, the identification rate of PGs was 69.5% (146 of 210 PGs), and 9% (19 of 210 PGs) were identified only due to additional use of NIR. For 15 out of 69 patients (21.7%) additionally PGs was found. CONCLUSION: Hypoparathyroidism was nominally less frequent in the NIR group, although not statistically significant. Further studies are needed to confirm if NIR may be a supportive PG identification tool to minimize the number of PG which would have been otherwise missed, especially during more complicated thyroid procedures. TRIAL REGISTRY: ClinicalTrials.gov: NCT04193332. Registration date: 16.08.2019.

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization.

The placenta is crucial to fetal well-being and it plays a significant role in the pathogenesis of hypertensive pregnancy disorders. Moreover, a timely diagnosis of placenta previa may save lives. Ultrasound is the primary imaging modality in pregnancy, but high-quality imaging depends on the access to equipment and staff, which is not possible in all settings. Convolutional neural networks may help standardize the acquisition of images for fetal diagnostics. Our aim was to develop a deep learning based model for classification and segmentation of the placenta in ultrasound images. We trained a model based on manual annotations of 7,500 ultrasound images to identify and segment the placenta. The model's performance was compared to annotations made by 25 clinicians (experts, trainees, midwives). The overall image classification accuracy was 81%. The average intersection over union score (IoU) reached 0.78. The model's accuracy was lower than experts' and trainees', but it outperformed all clinicians at delineating the placenta, IoU = 0.75 vs 0.69, 0.66, 0.59. The model was cross validated on 100 2nd trimester images from Barcelona, yielding an accuracy of 76%, IoU 0.68. In conclusion, we developed a model for automatic classification and segmentation of the placenta with consistent performance across different patient populations. It may be used for automated detection of placenta previa and enable future deep learning research in placental dysfunction.

Potential of uPAR, αvß6 Integrin, and Tissue Factor as Targets for Molecular Imaging of Oral Squamous Cell Carcinoma: Evaluation of Nine Targets in Primary Tumors and Metastases by Immunohistochemistry.

No clinically approved tumor-specific imaging agents for head and neck cancer are currently available. The identification of biomarkers with a high and homogenous expression in tumor tissue and minimal expression in normal tissue is essential for the development of new molecular imaging targets in head and neck cancer. We investigated the expression of nine imaging targets in both primary tumor and matched metastatic tissue of 41 patients with oral squamous cell carcinoma (OSCC) to assess their potential as targets for molecular imaging. The intensity, proportion, and homogeneity in the tumor and the reaction in neighboring non-cancerous tissue was scored. The intensity and proportion were multiplied to obtain a total immunohistochemical (IHC) score ranging from 0-12. The mean intensity in the tumor tissue and normal epithelium were compared. The expression rate was high for the urokinase-type plasminogen activator receptor (uPAR) (97%), integrin αvß6 (97%), and tissue factor (86%) with a median total immunostaining score (interquartile range) for primary tumors of 6 (6-9), 12 (12-12), and 6 (2.5-7.5), respectively. For the uPAR and tissue factor, the mean staining intensity score was significantly higher in tumors compared to normal epithelium. The uPAR, integrin αvß6, and tissue factor are promising imaging targets for OSCC primary tumors, lymph node metastases, and recurrences.