tbuckley/cabot-search huggingface dataset:
TCT-595 Left Ventricular Cardiac Reshaping With Trans-Myocardial Splints Does Not Impair Diastolic Function in Preclinical Studies
Authors: Daisuke Onohara, Daniella Espiritu, Takanori Kono, Roberto Hernandez-Merlo, Robert Guyton, Muralidhar Padala
Journal: Journal of the American College of Cardiology (2019)
TCT-629 Impact of Diabetes Mellitus on 1-Year Clinical Outcomes of Ultra-Thin Strut (60 μm) Biodegradable Polymer-Coated Sirolimus-Eluting Coronary Stents
Authors: Ramesh Babu Pothineni, Prakash Ajmera, Pankaj Jariwala, Abhijit Pathak, M.K. Inamdar, Vikrant Vijan, Anil Potdar
Journal: Journal of the American College of Cardiology (2019)
Targeting the Trafficking of Kidney Water Channels for Therapeutic Benefit
Authors: Pui W. Cheung, Richard Bouley, Dennis Brown
Journal: The Annual Review of Pharmacology and Toxicology (2019)

The ability to regulate water movement is vital for the survival of cells and organisms. In addition to passively crossing lipid bilayers by diffusion, water transport is also driven across cell membranes by osmotic gradients through aquaporin water channels. There are 13 aquaporins in human tissues, and of these, aquaporin-2 (AQP2) is the most highly regulated water channel in the kidney: The expression and trafficking of AQP2 respond to body volume status and plasma osmolality via the antidiuretic hormone, vasopressin (VP). Dysfunctional VP signaling in renal epithelial cells contributes to disorders of water balance, and research initially focused on regulating the major cAMP/PKA pathway to normalize urine concentrating ability. With the discovery of novel and more complex signaling networks that regulate AQP2 trafficking, promising therapeutic targets have since been identified. Several strategies based on data from preclinical studies may ultimately translate to the care of patients with defective water homeostasis.
Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain
Authors: Xiaorui Su, Ni Chen, Huaiqiang Sun, Yanhui Liu, Xibiao Yang, Weina Wang, Simin Zhang, Qiaoyue Tan, Jingkai Su, Qiyong Gong, Qiang Yue
Journal: Neuro-Oncology (2019)

Abstract Background Conventional MRI cannot be used to identify H3 K27M mutation status. This study aimed to investigate the feasibility of predicting H3 K27M mutation status by applying an automated machine learning (autoML) approach to the MR radiomics features of patients with midline gliomas. Methods This single-institution retrospective study included 100 patients with midline gliomas, including 40 patients with H3 K27M mutations and 60 wild-type patients. Radiomics features were extracted from fluid-attenuated inversion recovery images. Prior to autoML analysis, the dataset was randomly stratified into separate 75% training and 25% testing cohorts. The Tree-based Pipeline Optimization Tool (TPOT) was applied to optimize the machine learning pipeline and select important radiomics features. We compared the performance of 10 independent TPOT-generated models based on training and testing cohorts using the area under the curve (AUC) and average precision to obtain the final model. An independent cohort of 22 patients was used to validate the best model. Results Ten prediction models were generated by TPOT, and the accuracy obtained with the best pipeline ranged from 0.788 to 0.867 for the training cohort and from 0.60 to 0.84 for the testing cohort. After comparison, the AUC value and average precision of the final model were 0.903 and 0.911 in the testing cohort, respectively. In the validation set, the AUC was 0.85, and the average precision was 0.855 for the best model. Conclusions The autoML classifier using radiomics features of conventional MR images provides high discriminatory accuracy in predicting the H3 K27M mutation status of midline glioma.
TCT-347 Frequency of Incomplete Stent Apposition at Side-Branch Ostium After Kissing Balloon Inflation Predicted From Pre-Operative Appearance of Coronary Artery Bifurcation on 3-Dimensional Optical Coherence Tomograms
Authors: Takashi Nishimura, Takayuki Okamura, Tatsuhiro Fujimura, Yosuke Miyazaki, Mamoru Mochizuki, Tetsuro Oda, Masafumi Yano
Journal: Journal of the American College of Cardiology (2019)
TCT-229 Outcomes of “Investment Procedures” in Chronic Total Occlusion Interventions
Authors: Iosif Xenogiannis, Khaldoon Alaswad, Jaikirshan Khatri, James Choi, Anthony Doing, Farouc Amin Jaffer, Barry Uretsky, Oleg Krestyaninov, Dmitrii Khelimskii, Mitul Patel, Ehtisham Mahmud, Srini Potluri, Ioannis Tsiafoutis, Wissam Jaber, Habib Samady, Brian Jefferson, Taral Patel, Michael Megaly, Evangelia Vemmou, Ilias Nikolakopoulos, Bavana Rangan, Pamela Morley, Shuaib Abdullah, Santiago Garcia, Subhash Banerjee, Emmanouil Brilakis
Journal: Journal of the American College of Cardiology (2019)
TCT-420 Derivation and External Validation of a Novel Risk Score for Prediction of 30-Day Mortality After Percutaneous Coronary Intervention
Authors: Sorin Brener, Martin Leon, Patrick Serruys, Pieter Smits, Clemens von Birgelen, Roxana Mehran, Ori Ben-Yehuda, Ajay Jayant Kirtane, Bernhard Witzenbichler, Giora Weisz, Michael Rinaldi, D. Christopher Metzger, Timothy Henry, David Cox, Peter L. Duffy, Ernest Mazzaferri, Zixuan Zhang, Thomas McAndrew, Gregg Stone
Journal: Journal of the American College of Cardiology (2019)
Tacrolimus and minidose methotrexate for prevention of acute graft- versus-host disease after matched unrelated donor marrow transplantation
Authors: D Przepiorka, C Ippoliti, I Khouri, M Woo, R Mehra, D Le Bherz, S Giralt, J Gajewski, H Fischer, H Fritsche, AB Deisseroth, K Cleary, R Champlin, K Besien, B Andersson, R Maher, W Fitzsimmons
Journal: Blood (1996)
Diagnostic interpretation of genetic studies in patients with primary immunodeficiency diseases: A working group report of the Primary Immunodeficiency Diseases Committee of the American Academy of Allergy, Asthma &amp; Immunology
Authors: Ivan K. Chinn, Alice Y. Chan, Karin Chen, Janet Chou, Morna J. Dorsey, Joud Hajjar, Artemio M. Jongco, Michael D. Keller, Lisa J. Kobrynski, Attila Kumanovics, Monica G. Lawrence, Jennifer W. Leiding, Patricia L. Lugar, Jordan S. Orange, Kiran Patel, Craig D. Platt, Jennifer M. Puck, Nikita Raje, Neil Romberg, Maria A. Slack, Kathleen E. Sullivan, Teresa K. Tarrant, Troy R. Torgerson, Jolan E. Walter
Journal: Journal of Allergy and Clinical Immunology (2019)
TCT-3 Modified Body Mass Index, A Novel Marker of Malnutrition and Clinical Frailty, is Associated With Outcomes After Transcatheter and Surgical Aortic Valve Replacement
Authors: Elissa Driggin, Aakriti Gupta, Maria Alu, Mengdan Liu, Shmuel Chen, Susheel Kodali, Matthew Maurer, Vinod Thourani, Danny Dvir, Michael Mack, Martin Leon, Philip Green
Journal: Journal of the American College of Cardiology (2019)
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
Authors: Rüdiger Schmitz, Frederic Madesta, Maximilian Nielsen, Jenny Krause, Stefan Steurer, René Werner, Thomas Rösch
Journal: Medical Image Analysis (2021)

Histopathologic diagnosis relies on simultaneous integration of information from a broad range of scales, ranging from nuclear aberrations (≈O(0.1μm)) through cellular structures (≈O(10μm)) to the global tissue architecture (⪆O(1mm)). To explicitly mimic how human pathologists combine multi-scale information, we introduce a family of multi-encoder fully-convolutional neural networks with deep fusion. We present a simple block for merging model paths with differing spatial scales in a spatial relationship-preserving fashion, which can readily be included in standard encoder-decoder networks. Additionally, a context classification gate block is proposed as an alternative for the incorporation of global context. Our experiments were performed on three publicly available whole-slide images of recent challenges (PAIP 2019: hepatocellular carcinoma segmentation; BACH 2020: breast cancer segmentation; CAMELYON 2016: metastasis detection in lymph nodes). The multi-scale architectures consistently outperformed the baseline single-scale U-Nets by a large margin. They benefit from local as well as global context and particularly a combination of both. If feature maps from different scales are fused, doing so in a manner preserving spatial relationships was found to be beneficial. Deep guidance by a context classification loss appeared to improve model training at low computational costs. All multi-scale models had a reduced GPU memory footprint compared to ensembles of individual U-Nets trained on different image scales. Additional path fusions were shown to be possible at low computational cost, opening up possibilities for further, systematic and task-specific architecture optimisation. The findings demonstrate the potential of the presented family of human-inspired, end-to-end trainable, multi-scale multi-encoder fully-convolutional neural networks to improve deep histopathologic diagnosis by extensive integration of largely different spatial scales.
TCT-353 Comparison of Plaque Distribution and Wire-Free Functional Assessment in the Target Vessel of Patients With Stable Angina Pectoris and Non-ST-Segment Elevation Myocardial Infarction by Deoxyribonucleic Acid Repair Activity: An Optical Coherence Tomography and Quantitative Flow Ratio Study
Authors: Kazuhiro Dan, Hector Garcia-Garcia, Omar Yacob, Kayode Kuku, Paul Kolm, Nikunj Shah, Martin Bennett, Nick Curzen, Ron Waksman, Michael Mahmoudi
Journal: Journal of the American College of Cardiology (2019)
TCT-340 IVUS-Guided PSP Technique of Drug-Eluting Stents in Complex Coronary Lesion
Authors: Hanbit Park, Junho Hyun, Ju Hyeon Kim, KyungJin Choe, Yujin Yang, Junghoon Lee, Yeongjin Jeong, Sangwoo Park, Sang-Cheol Cho, Euihong Ko, Do-Yoon Kang, Pil Hyung Lee, Jung-Min Ahn, Duk-Woo Park, Seung-Whan Lee, Seong-Wook Park, Seung-Jung Park
Journal: Journal of the American College of Cardiology (2019)
Intranasal nanoemulsion vaccine confers long‐lasting immunomodulation and sustained unresponsiveness in a murine model of milk allergy
Authors: Jessica J. O'Konek, Jeffrey J. Landers, Katarzyna W. Janczak, Hayley K. Lindsey, Anna M. Mondrusov, Tiffanie D. Totten, James R. Baker
Journal: Allergy (2019)

Abstract Background Immunotherapy for food allergy requires prolonged treatment protocols and, in most cases, does not lead to durable modulation of the allergic immune response. We have demonstrated an intranasal (IN) nanoemulsion adjuvant that redirects allergen‐specific Th2 responses toward Th1 and Th17 immunity, and protects from allergen challenge after only 2‐4 monthly administrations. Here, we investigate the ability of this technology to provide long‐term modulation of allergy in a murine model of cow's milk allergy. Methods Six weeks after sensitization to bovine casein, mice received four, monthly IN immunizations with nanoemulsion formulated with casein. Protection from casein challenge was assessed at 4 and 16 weeks after the final vaccine administration. Results The NE vaccine significantly blunted the physiological responses to allergen challenge, and this effect persisted for at least 16 weeks. The protection from challenge was associated with the suppression of casein‐specific Th2 immunity and induced Th1 and Th17 cytokines as well as induction of IL‐10. Of interest, while immunized animals showed significantly decreased Th2 cytokine responses, cow's milk‐specific IgE remained elevated in the serum at levels associated with reactivity in control sensitized animals. Protection was associated with suppressed mast cell activation and markedly reduced mast cell infiltration into the small intestine. Conclusion The sustained unresponsiveness of at least 16 weeks after vaccination suggests that the nanoemulsion vaccine alters the allergic phenotype in a persistent manner different from traditional desensitization, and this leads to long‐term suppressive effects on allergic disease without eliminating serum IgE.
CCG is criticised for “unfair” policy that delays surgery for patients with BMI over 30
Authors: Elisabeth Mahase
Journal: BMJ (2019)

A clinical commissioning group (CCG) in the north of England has been criticised for lowering the body mass index (BMI) threshold at which patients must join a weight management programme before they can have surgery.

From 1 October, East Riding of Yorkshire CCG will require patients with a BMI over 30 to be referred to the Get Fit for Your Operation programme before they join waiting lists for surgery. The previous threshold was a BMI over 35.

The CCG said that the new policy was based on evidence showing clear benefits for patients who had a lower BMI. After six months, patients would become eligible for surgery regardless of whether they had lost weight.

But local GPs and the Royal College of Surgeons (RCS) said that the new threshold was “unfair and ignored clinical guidance.” They warned that the policy could increase …
Risk Factors and Outcomes According to Age at Transplant with an HLA Identical Sibling for Sickle Cell Disease
Authors: Barbara Cappelli, Karina Tozatto-Maio, Fernanda Volt, Annalisa Paviglianiti, Alina Ferster, Sophie Dupont, Belinda Pinto Simões, Amal Al-Seraihy, Mahmoud Aljurf, Cristina Belendez, Susanne Matthes, Nathalie Dhedin, Jean-Hugues Dalle, Yves Bertrand, Jean Pierre Vannier, Mathieu Kuentz, Patrick Lutz, Gerard Michel, Hanadi Elayoubi, Benedicte Neven, Josu de la Fuente, Marco Zecca, Said Yousuf Ahmed, Peter Bader, Annalisa Ruggeri, Francoise Bernaudin, Eliane Gluckman
Journal: Blood (2017)
Effect of infectious disease consultation on mortality and treatment of patients with candida bloodstream infections: a retrospective, cohort study
Authors: Carlos Mejia-Chew, Jane A O'Halloran, Margaret A Olsen, Dustin Stwalley, Ryan Kronen, Charlotte Lin, Ana S Salazar, Lindsey Larson, Kevin Hsueh, William G Powderly, Andrej Spec
Journal: The Lancet Infectious Diseases (2019)
Laparoscopic Resection After Neoadjuvant Chemotherapy for Distal Gastric Tumors
Authors: Teviah E. Sachs, Jennifer F. Tseng
Journal: JAMA Surgery (2019)

Our website uses cookies to enhance your experience. By continuing to use our site, or clicking "Continue," you are agreeing to our Cookie Policy | Continue JAMA Surgery HomeNew OnlineCurrent IssueFor Authors Podcast Publications JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry (1919-1959) JN Learning / CMESubscribeJobsInstitutions / LibrariansReprints & Permissions Terms of Use | Privacy Policy | Accessibility Statement 2023 American Medical Association. All Rights Reserved Search All JAMA JAMA Network Open JAMA Cardiology JAMA Dermatology JAMA Forum Archive JAMA Health Forum JAMA Internal Medicine JAMA Neurology JAMA Oncology JAMA Ophthalmology JAMA Otolaryngology–Head & Neck Surgery JAMA Pediatrics JAMA Psychiatry JAMA Surgery Archives of Neurology & Psychiatry Input Search Term Sign In Individual Sign In Sign inCreate an Account Access through your institution Sign In Purchase Options: Buy this article Rent this article Subscribe to the JAMA Surgery journal
Breath biomarkers in asthma: we're getting answers, but what are the important questions?
Authors: Stephen J. Fowler, Peter J. Sterk
Journal: European Respiratory Journal (2019)

<b>Reports of potential biomarkers in breath are rapidly accumulating, such that systematic reviews are now feasible. We should now take stock and ensure every future study design is able to contribute a step forward towards future clinical application.</b>http://bit.ly/2khqrWi
Nevirapine restores hormone sensitivity in undifferentiated androgen-refractory prostate carcinoma cells
Authors: M. Landriscina, C. Bagalà, A. Piscazzi, M. Quirino, N. Maiorano, G. Schinzari, A. Fabiano, A. Cassano, C. Barone
Journal: Journal of Clinical Oncology (2006)

13149 Background: The majority of prostate carcinomas are hormone-dependent tumors and androgen deprivation is the mainstay of therapy for advanced prostate cancer. However, androgen deprivation is ineffective on intermediate androgen-independent cells that are responsible for the hormone-refractory prostate cancer progression. Furthermore, other signaling pathways - i.e. EGF - can provide additional molecular mechanisms contributing to androgen-independent tumor progression. Reverse transcriptase (RT) inhibitors represent differentiating agents able to induce a reprogramming of gene expression in several human tumor cell models. Indeed, nevirapine and efavirenz, two widely used RT inhibitors, block the activity of endogenous RT, a gene highly expressed in tumor cells. Methods: We evaluated the ability of nevirapine to antagonize tumor growth and induce hormone sensitivity in androgen-independent human prostate tumor PC-3 cells either in vitro or in vivo. Results: Nevirapine induced the expression of several molecular markers of an androgen-dependent phenotype, such androgen receptor (AR), PSA and K18 and a reduced expression of K5, a marker of the intermediate-cell phenotype. Indeed, nevirapine enhanced the ability of prostate tumor cells to up-regulate AR in response to dihidrotestosterone. Moreover, the pharmacological inhibition of RT resulted in a significant reprogramming of gene expression, characterized by down-regulation of the notch family receptors, the EGFR1, the VEGF receptor KDR, the FGF family receptors, as well as the angiogenic factors VEGF and FGF1. Interestingly, this exocrine differentiated phenotype correlated with a reversible inhibition of cell proliferation and migration in response to nevirapine. Furthermore, the treatment of mice xenografts of prostate carcinoma cells with efavirenz and nevirapine resulted in the inhibition of tumor growth and in a reduced tumorigenic potential of cells. Conclusions: These findings suggest that RT inhibition is able to convert the androgen-independent intermediate-cell phenotype into an androgen-dependent exocrine luminal phenotype and support the need for clinical trials to test the ability of RT inhibitors and LH-RH analogs in androgen-independent prostate tumors. No significant financial relationships to disclose.
Stones, strictures, and chronic pancreatitis
Authors: Jacques Devière, Horst Neuhaus
Journal: Endoscopy (2019)

In the early 70s, ERCP offered a new approach for diagnosing chronic pancreatitis and classifying ductal abnormalities. It allowed better understanding of the disease course and decision-making about the best surgical option, if this was indicated. This had a dramatic impact clinically, as well as on surgical techniques where, in many instances, resection has been replaced by less invasive approaches. Along with the development of therapeutic biliary endoscopy, therapeutic options for main pancreatic duct drainage have been described, consisting initially of pancreatic sphincterotomy and removal of floating stones [1] and, soon afterwards, the placement of pancreatic plastic stents to bypass strictures [2] [3]. These treatments were technically challenging as most of the pancreatic calcium carbonate stones were almost impossible to remove and disimpact mechanically and the tight fibrotic strictures of the main pancreatic duct (MPD) were very difficult to dilate, especially with the devices that were available 40 years ago.
Identification of patients and plaques vulnerable to future coronary events with near-infrared spectroscopy intravascular ultrasound imaging: a prospective, cohort study
Authors: Ron Waksman, Carlo Di Mario, Rebecca Torguson, Ziad A Ali, Varinder Singh, William H Skinner, Andre K Artis, Tim Ten Cate, Eric Powers, Christopher Kim, Evelyn Regar, S Chiu Wong, Stephen Lewis, Joanna Wykrzykowska, Sandeep Dube, Samer Kazziha, Martin van der Ent, Priti Shah, Paige E Craig, Quan Zou, Paul Kolm, H Bryan Brewer, Hector M Garcia-Garcia, Habib Samady, Jonathan Tobis, Mark Zainea, Wayne Leimbach, Daniel Lee, Thomas Lalonde, William Skinner, Augusto Villa, Henry Liberman, George Younis, Ranil de Silva, Miguel Diaz, Luis Tami, John Hodgson, Ganesh Raveendran, Nilesh Goswami, Jose Arias, Lawrence Lovitz, Robert Carida II, Srinivasa Potluri, Francesco Prati, Andrejs Erglis, Andrei Pop, Margaret McEntegart, Martin Hudec, Umamahesh Rangasetty, David Newby
Journal: The Lancet (2019)
A Stepwise Approach to Ethically Assess Pragmatic Cluster Randomized Trials: Implications for Informed Consent for Suicide Prevention Implementation Research
Authors: Cory E. Goldstein, Charles Weijer
Journal: The American Journal of Bioethics (2019)

This article refers to:A Pragmatic Trial of Suicide Risk Assessment and Ambulance Transport Decision Making Among Emergency Medical Services Providers: Implications for Patient Consent
Germline-Encoded Affinity for Cognate Antigen Enables Vaccine Amplification of a Human Broadly Neutralizing Response against Influenza Virus
Authors: Maya Sangesland, Larance Ronsard, Samuel W. Kazer, Julia Bals, Seyhan Boyoglu-Barnum, Ashraf S. Yousif, Ralston Barnes, Jared Feldman, Maricel Quirindongo-Crespo, Patrick M. McTamney, Daniel Rohrer, Nils Lonberg, Bryce Chackerian, Barney S. Graham, Masaru Kanekiyo, Alex K. Shalek, Daniel Lingwood
Journal: Immunity (2019)
TCT-189 Magnesium BRS Implantation in ACS Population: Midterm Follow-Up
Authors: Adrian Wlodarczak, Magdalena Lanocha, Marek Szudrowicz, MAciej Pecherzewski, Artur Jastrzebski, Andrzej Korda, Maciej Lesiak
Journal: Journal of the American College of Cardiology (2019)
TCT-315 White Blood Cell Count and 4-Year Clinical Outcomes After Left Main Coronary Artery Revascularization: Insights From the EXCEL Trial
Authors: Bimmer Claessen, Ori Ben-Yehuda, Roxana Mehran, Ovidiu Dressler, Shmuel Chen, Samer Mansour, Nicolas Noiseux, A. Pieter Kappetein, Joseph Sabik, Samin Sharma, Annapoorna Kini, Patrick Serruys, Gregg Stone
Journal: Journal of the American College of Cardiology (2019)
Research evaluating AI for diagnosing disease is weak, finds review
Authors: Elisabeth Mahase
Journal: BMJ (2019)

Artificial intelligence (AI)—also known as deep learning—might be able to detect diseases from medical imaging with similar levels of accuracy as doctors, according to a review of current evidence.1

The researchers advised caution, however, as there were few high quality studies, and little evidence directly comparing the performance of humans and machines, or looking at AI’s performance in real clinical environments.

The team said this means that the true diagnostic power of the AI “remains uncertain.”

The study, which involved a systematic review and meta-analysis, …
TCT-70 Intravascular Imaging for Unprotected Left Main Stem PCI: A Survival Analysis of 11,264 Cases From the British Cardiovascular Intervention Society National Database
Authors: Tim Kinnaird, Sean Gallagher, Richard Anderson, Alexander Sirker, Peter Ludman, Samuel Copt, Keith Oldroyd, Adrian Banning, Tom Johnson, Mamas Mamas, Nick Curzen
Journal: Journal of the American College of Cardiology (2019)
TCT-183 The Impact of Atherosclerotic Plaque Type on Strut Penetration and Local Hemodynamics in Bioresorbable Scaffolds
Authors: Erhan Tenekecioglu, Ryo Torii, Yuki Katagiri, Yohei Sotomi, Taku Asano, Jouke Dijkstra, Robert-Jan Van Geuns, Yoshinobu Onuma, Kerem Pekkan, Christos Bourantas, Patrick Serruys
Journal: Journal of the American College of Cardiology (2019)
TCT-244 Impact of Different Methods of Lesion Preparation on Side Branches in Calcified Coronary Bifurcations: A Subanalysis of the Randomized PREPARE-CALC Trial
Authors: Abdelhakim Allali, Mohamed Abdel-Wahab, Hussein Traboulsi, Rayyan Hemetsberger, Robert Byrne, Volker Geist, Mohamed El-Mawardy, Dmitry Sulimov, Franz-Josef Neumann, Ralph Toelg, Gert Richardt
Journal: Journal of the American College of Cardiology (2019)