Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. This report is a terse narrative report, and when processing is complete you will be linked to a more complete narrative report. Eric Lease Morgan Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 35 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 20252 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 45 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- 35 LUS 21 COVID-19 9 patient 5 CXR 2 ultrasound 1 surfactant 1 study 1 pediatric 1 imaging 1 image 1 high 1 finding 1 figure 1 disease 1 diagnosis 1 covid-19 1 child 1 case 1 ZIKV 1 TTN 1 Suppl 1 SBT 1 SARS 1 Radiol 1 RDS 1 Pediatr 1 PCT 1 Objective 1 NCOVID 1 MRI 1 MRE 1 Lung 1 JIA 1 HPE 1 HIMC 1 H1N1 1 ECMO 1 DWI 1 CNS 1 CAS 1 ARDS 1 ADC Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 2037 patient 1011 lung 996 % 817 ultrasound 717 study 552 disease 535 case 532 finding 526 pneumonia 500 line 473 imaging 459 child 446 diagnosis 386 chest 384 score 337 care 325 group 302 image 283 examination 281 b 272 lesion 259 pattern 251 infection 248 time 242 point 239 consolidation 238 area 233 value 233 result 228 use 226 year 225 test 220 age 219 datum 216 level 216 analysis 201 syndrome 196 treatment 190 symptom 185 risk 183 evaluation 168 failure 167 - 164 technique 164 contrast 162 severity 162 p 161 day 159 scan 156 involvement Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 1217 LUS 745 COVID-19 723 CT 331 MRI 251 US 236 CXR 203 al 162 Lung 149 SARS 139 et 136 CoV-2 135 MR 127 . 114 Ultrasound 104 PCR 92 Fig 86 RT 73 SBT 73 ICU 73 ARDS 70 China 68 Coronavirus 60 C 55 JIA 54 ECMO 51 S 51 Pediatr 51 ED 50 Radiol 48 Table 48 Chest 47 Suppl 47 DWI 47 ADC 46 MRE 45 Hospital 43 Imaging 43 H1N1 43 Disease 42 Wuhan 40 Care 39 T1 39 S. 39 BA 39 A 38 glycyrrhizin 36 CI 35 University 35 C. 34 Objective Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 463 we 394 it 99 they 51 them 41 she 34 i 26 he 18 us 7 itself 3 one 2 themselves 2 covid-19 1 you 1 ours 1 myself Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 6724 be 1140 have 564 use 500 perform 368 show 323 include 227 compare 208 evaluate 204 do 194 increase 186 base 183 detect 182 associate 175 follow 170 assess 169 present 168 report 165 find 157 consider 156 require 151 identify 149 demonstrate 141 describe 140 confirm 134 reveal 133 provide 132 diagnose 129 suspect 127 see 118 obtain 115 undergo 110 accord 108 suggest 107 determine 102 involve 98 observe 92 make 91 reduce 91 need 88 allow 87 correlate 83 cause 82 compute 81 indicate 80 represent 79 define 79 admit 78 result 76 relate 76 improve Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 577 not 531 clinical 426 - 408 high 384 respiratory 312 more 298 also 285 pulmonary 280 other 280 low 252 diagnostic 227 covid-19 225 pleural 220 most 218 acute 212 severe 212 pediatric 205 well 202 normal 198 early 188 however 185 only 177 non 175 different 173 first 155 such 150 significant 150 positive 135 old 132 small 120 important 119 useful 119 as 112 significantly 112 right 110 respectively 108 specific 103 large 103 common 102 cardiac 101 subpleural 101 renal 101 critical 100 critically 100 bilateral 100 available 99 negative 98 ill 96 medical 95 left Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 62 most 28 good 24 least 18 high 15 Most 7 big 5 strong 5 low 4 late 4 great 3 young 3 bad 2 small 2 safe 2 large 1 timely 1 sick 1 new 1 near 1 long 1 fit 1 fast 1 cord-282198-ugmv9om1 1 -ch 1 -Contrast 1 -17.61 Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 158 most 20 least 1 well Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 6 doi.org 2 mc.manuscriptcentral.com 1 www.who.int 1 www.kjim.org 1 www-genome.wi.mit.edu 1 www 1 orcid.org 1 links.lww.com 1 journals.lww.com Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 3 http://doi.org/10.1101/2020.10.13.20212258 2 http://mc.manuscriptcentral.com/qjm 1 http://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/ 1 http://www.kjim.org 1 http://www-genome.wi.mit.edu 1 http://www 1 http://orcid.org/0000-0002-5409-6007 1 http://links.lww.com/CCX/A263 1 http://journals.lww.com/ccejournal).The 1 http://doi.org/10.1371/journal.pone.0238679.t001 1 http://doi.org/10.1038/s41390-018-0114-9 1 http://doi.org/10 Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 5 lines were present 5 patients are more 4 ct is not 4 lus had more 4 lus is more 4 lus is not 4 patients requiring limc 3 cases were stage 3 lus are more 3 lus is able 3 lus is highly 3 lus was more 3 patients had pleural 3 patients was higher 3 patients were not 3 score was higher 2 % had mortality 2 covid-19 was respectively 2 diagnosis was nondependent 2 findings are not 2 findings were not 2 findings were present 2 group had higher 2 group was higher 2 group was significantly 2 images were also 2 images were post 2 images were subsequently 2 imaging is important 2 imaging is not 2 lesions are less 2 lesions is very 2 line is regular 2 lines using bedside 2 lines were more 2 lus are avascular 2 lus detect subpleural 2 lus detected lung 2 lus has potential 2 lus has several 2 lus is also 2 lus is rapidly 2 lus revealed signs 2 lus was significantly 2 mri detected ischaemic 2 patient is asymptomatic 2 patients are also 2 patients had mild 2 patients had normal 2 patients requiring himc Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 4 lus is not suggestive 2 ct is not available 2 ct is not suitable 2 findings are not specific 1 % was not available 1 covid-19 is no exception 1 ct are not accessible 1 examinations revealed no pleural 1 findings have not yet 1 groups were not statistically 1 imaging is not available 1 imaging is not routinely 1 lesion was not significantly 1 lung are not detectable 1 lus has not only 1 lus was not detectable 1 mri was not available 1 patient had no previous 1 patients does not fully 1 pattern is not compatible 1 scores did not significantly 1 study demonstrated no significant 1 study had no impact 1 time are not anatomical 1 times were not significantly 1 ultrasound has no radiation 1 us is not optimal A rudimentary bibliography -------------------------- id = cord-334495-7y1la856 author = Agricola, Eustachio title = Heart and Lung Multimodality Imaging in COVID-19 date = 2020-06-24 keywords = COVID-19; CXR; LUS; SARS; patient summary = From a clinical point of view, cardiac involvement during COVID-19 may present a wide spectrum of severity ranging from subclinical myocardial injury to well-defined clinical entities (myocarditis, myocardial infarction, pulmonary embolism and heart failure), whose incidence and prognostic implications are currently largely unknown due to a significant lack of imaging data. The use of integrated heart and lung multimodality imaging plays a central role in different clinical settings and is essential in diagnosis, risk stratification and management of COVID-19 patients. In this context, the use of multiple diagnostic imaging techniques may apply to both heart and lung to provide an integrated assessment of cardiac and pulmonary function and to refine diagnosis, risk stratification and management of COVID-19 patients. patients not requiring ICU, when clinical presentation and biomarker alterations suggest acute-onset myocardial inflammation, if the diagnosis is likely to impact on management, CMR may be considered to confirm acute myocarditis, after exclusion of alternative relevant clinical conditions, including ACS and HF, by means of other rapidly available imaging modalities (i.e. cardiac CT scan or TTE). doi = 10.1016/j.jcmg.2020.05.017 id = cord-262778-7vk6vcgk author = Antúnez‐Montes, Omar Yassef title = Proposal to Unify the Colorimetric Triage System With the Standardized Lung Ultrasound Score for COVID‐19 date = 2020-08-27 keywords = LUS summary = doi = 10.1002/jum.15446 id = cord-309660-s8neq5x4 author = Arntfield, R. title = Development of a deep learning classifier to accurately distinguish COVID-19 from look-a-like pathology on lung ultrasound date = 2020-10-15 keywords = HPE; LUS; NCOVID summary = In this study, we trained a neural network using LUS images of B lines from 3 different etiologies (hydrostatic pulmonary edema (HPE), ARDS and COVID-19). 16 The goal of this study was to determine if a deep neural network could distinguish between the B line profiles of 3 different disease profiles, namely 1) hydrostatic pulmonary edema (HPE); 2) non-COVID ARDS (NCOVID) causes; and 3) COVID-19 ARDS (COVID). On this independent data, the model demonstrated a strong ability to distinguish between the 3 relevant causes of B lines with AUCs at the encounter level of 1.0 (COVID), 0.934 (NCOVID), and 1.0 (HPE), producing an overall AUC of 0.978 for the classifier. In this study, a deep learning model was successfully trained to distinguish the underlying pathology in similar point-of-care lung ultrasound images containing B lines. doi = 10.1101/2020.10.13.20212258 id = cord-333483-nr0akd7k author = Aziz, R. title = Essential notes: The use of Lung Ultrasound for COVID-19 in the intensive care unit date = 2020-09-26 keywords = COVID-19; LUS summary = doi = 10.1016/j.bjae.2020.09.001 id = cord-253572-9qixiew8 author = Bennett, David title = Portable pocket-sized ultrasound scanner for the evaluation of lung involvement in COVID-19 patients date = 2020-09-21 keywords = COVID-19; LUS; ultrasound summary = doi = 10.1016/j.ultrasmedbio.2020.09.014 id = cord-300013-6m1f4q5r author = Brahier, Thomas title = Lung ultrasonography for risk stratification in patients with COVID-19: a prospective observational cohort study date = 2020-09-17 keywords = COVID-19; LUS summary = doi = 10.1093/cid/ciaa1408 id = cord-341627-21m8rdhy author = Buda, Natalia title = Lung ultrasound in the diagnosis of COVID-19 infection - A case series and review of the literature date = 2020-06-25 keywords = COVID-19; LUS; patient summary = doi = 10.1016/j.advms.2020.06.005 id = cord-320171-ifbpz42a author = Cho, Young-Jae title = Lung ultrasound for early diagnosis and severity assessment of pneumonia in patients with coronavirus disease 2019 date = 2020-07-01 keywords = LUS summary = We sought to determine the utility of lung ultrasound for early detection of pneumonia and for assessment of respiratory failure among patients with coronavirus disease 2019 (COVID-19). CONCLUSIONS: Lung ultrasound is feasible and useful as a rapid, sensitive, and affordable point-of-care screening tool to detect pneumonia and assess the severity of respiratory failure in patients hospitalized with COVID-19. In South Korea, there have been multiple confirmed cases related to local outbreak clusters, but there are no rapid, sensitive, affordable screening tools available to assess the presence of pneumonia, disease severity, or risk of respiratory fail-The Korean Journal of Internal Medicine. LUS performed on Day 4 showed a worsening of her pneumonia, with the lung aeration score of 5 points (Supplementary Fig. 5C ). In conclusion, LUS was feasible and useful for a rapid, sensitive, affordable point-of-care screening tool to detect pneumonia without radiation hazard and suggest the severity of respiratory failure for COVID-19 patients. doi = 10.3904/kjim.2020.180 id = cord-000308-cxr1ul7q author = Cianchi, Giovanni title = Ventilatory and ECMO treatment of H1N1-induced severe respiratory failure: results of an Italian referral ECMO center date = 2011-01-11 keywords = ECMO; H1N1; LUS; patient summary = doi = 10.1186/1471-2466-11-2 id = cord-292341-uo54ghf3 author = Cocconcelli, Elisabetta title = Clinical Features and Chest Imaging as Predictors of Intensity of Care in Patients with COVID-19 date = 2020-09-16 keywords = COVID-19; CXR; HIMC; LUS summary = doi = 10.3390/jcm9092990 id = cord-338005-kbkvk94k author = Deng, Qing title = Semiquantitative lung ultrasound scores in the evaluation and follow-up of critically ill patients with COVID-19: a single-center study date = 2020-07-14 keywords = COVID-19; LUS summary = doi = 10.1016/j.acra.2020.07.002 id = cord-252784-wfsq0u9o author = Favot, Mark title = Point-of-Care Lung Ultrasound for Detecting Severe Presentations of Coronavirus Disease 2019 in the Emergency Department: A Retrospective Analysis date = 2020-07-31 keywords = COVID-19; LUS summary = doi = 10.1097/cce.0000000000000176 id = cord-318878-auk0hpk9 author = Ji, Li title = Serial bedside lung ultrasonography in a critically ill COVID-19 patient date = 2020-04-24 keywords = LUS summary = doi = 10.1093/qjmed/hcaa141 id = cord-349641-4g4nue5s author = Kirkpatrick, Andrew W. title = Re: “Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID‐19: A Simple, Quantitative, Reproducible Method”—Could Telementoring of Lung Ultrasound Reduce Health Care Provider Risks, Especially for Paucisymptomatic Home‐Isolating Patients? date = 2020-07-08 keywords = LUS summary = doi = 10.1002/jum.15390 id = cord-326051-p9017jx8 author = Lopes, Agnaldo José title = Comparison Between Lung Ultrasound and Computed Tomographic Findings in Patients With COVID‐19 Pneumonia date = 2020-09-30 keywords = COVID-19; LUS summary = doi = 10.1002/jum.15521 id = cord-309194-jtouafgd author = Lu, Xiao title = Lung ultrasound score in establishing the timing of intubation in COVID-19 interstitial pneumonia: A preliminary retrospective observational study date = 2020-09-03 keywords = COVID-19; LUS; patient summary = doi = 10.1371/journal.pone.0238679 id = cord-325352-k7aapnx3 author = Manivel, Vijay title = CLUE: COVID‐19 Lung Ultrasound in Emergency Department. date = 2020-05-09 keywords = COVID-19; LUS summary = doi = 10.1111/1742-6723.13546 id = cord-285369-ktg2b9jb author = Mohamed, Mouhand F. H. title = Frequency of Abnormalities Detected by Point-of-Care Lung Ultrasound in Symptomatic COVID-19 Patients: Systematic Review and Meta-Analysis date = 2020-06-02 keywords = COVID-19; LUS summary = doi = 10.4269/ajtmh.20-0371 id = cord-276225-tv70aakj author = Musolino, Anna Maria title = Lung Ultrasound in Children with COVID-19: Preliminary Findings date = 2020-05-03 keywords = LUS; covid-19 summary = doi = 10.1016/j.ultrasmedbio.2020.04.026 id = cord-286071-zb8o95yf author = Nasrollahi, Vida title = The effect of drought stress on the expression of key genes involved in the biosynthesis of triterpenoid saponins in liquorice (Glycyrrhiza glabra) date = 2014-07-31 keywords = CAS; LUS summary = doi = 10.1016/j.phytochem.2014.03.004 id = cord-354411-4emzxu09 author = Nouvenne, Antonio title = Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission date = 2020-06-22 keywords = COVID-19; LUS; patient summary = doi = 10.1159/000509223 id = cord-282198-ugmv9om1 author = Pare, Joseph R. title = Point-of-care Lung Ultrasound Is More Sensitive than Chest Radiograph for Evaluation of COVID-19 date = 2020-06-19 keywords = COVID-19; CXR; LUS summary = doi = 10.5811/westjem.2020.5.47743 id = cord-005573-mryrl1s1 author = Raimondi, Francesco title = Point-of-care lung ultrasound in neonatology: classification into descriptive and functional applications date = 2018-07-20 keywords = ARDS; LUS; Lung; TTN; ultrasound summary = doi = 10.1038/s41390-018-0114-9 id = cord-320174-q364nq1f author = Reisinger, Nathaniel title = Lung ultrasound: a valuable tool for the assessment of dialysis patients with COVID-19 date = 2020-05-19 keywords = LUS summary = doi = 10.1007/s10157-020-01903-x id = cord-029675-7lmqp4jd author = Rodriguez-Fanjul, Javier title = Early surfactant replacement guided by lung ultrasound in preterm newborns with RDS: the ULTRASURF randomised controlled trial date = 2020-07-24 keywords = LUS; RDS; surfactant summary = doi = 10.1007/s00431-020-03744-y id = cord-013065-oj0wsstz author = Rodríguez-Fanjul, Javier title = Procalcitonin and lung ultrasound algorithm to diagnose severe pneumonia in critical paediatric patients (PROLUSP study). A randomised clinical trial date = 2020-10-08 keywords = CXR; LUS; PCT summary = doi = 10.1186/s12931-020-01476-z id = cord-010871-qyqs293j author = Sachin, Sasidharan title = Ultrasonographic evaluation of lung and heart in predicting successful weaning in mechanically ventilated neurosurgical patients date = 2020-01-11 keywords = LUS; SBT summary = doi = 10.1007/s10877-020-00460-8 id = cord-354204-23xkug85 author = Smargiassi, Andrea title = Lung ultrasonography for early management of patients with respiratory symptoms during COVID-19 pandemic date = 2020-07-07 keywords = COVID-19; LUS; patient summary = doi = 10.1007/s40477-020-00501-7 id = cord-344117-lr6roxej author = Vieira, Ana Luisa Silveira title = Role of point-of-care ultrasound during the COVID-19 pandemic: our recommendations in the management of dialytic patients date = 2020-06-03 keywords = COVID-19; LUS; patient summary = Reports from health services around the world have indicated that patients with diabetes mellitus and hypertension, two of the main causes of ESRD worldwide, and also advanced age and cardiovascular complications, two frequent accompanying conditions in dialysis patients, are more susceptible to SARS-CoV-2 infection and more prone to develop severe COVID-19 pneumonia, eventually requiring intensive care treatment [2, 6, 7] . The typical patterns detected by LUS in patients with COVID-19 pneumonia are characterized by B-lines in different forms, both separated and coalescent, an irregular and/or fragmented pleural line, peripheral small consolidations, and large consolidations with dynamic air bronchograms [3] (Fig. 7) (Additional file 5). If the B-lines pattern that can be observed by LUS in dialytic patients does not fully respect the typical characteristics of a COVID-19 pneumonia and cannot allow a definitive conclusion, we suggest to extend the ultrasound scan to the heart and the inferior vena cava (IVC). doi = 10.1186/s13089-020-00177-4 id = cord-303284-xwhxyy3d author = Volpicelli, Giovanni title = What’s new in lung ultrasound during the COVID-19 pandemic date = 2020-05-04 keywords = COVID-19; LUS summary = doi = 10.1007/s00134-020-06048-9 id = cord-261328-prczsz9m author = Yassa, Murat title = How to perform and interpret the lung ultrasound by the obstetricians in pregnant women during the SARS-CoV-2 pandemic date = 2020-10-02 keywords = COVID-19; LUS summary = doi = 10.4274/tjod.galenos.2020.93902 id = cord-347631-78h9w2ty author = Yun, Debo title = Use of lung ultrasound for diagnosis and monitoring of coronavirus disease 2019 pneumonia: A case report date = 2020-10-10 keywords = COVID-19; LUS summary = doi = 10.1177/2050313x20958915 id = cord-257566-56h2jmn9 author = Zamboni, Paolo title = COVID-19 as a Vascular Disease: Lesson Learned from Imaging and Blood Biomarkers date = 2020-06-29 keywords = COVID-19; LUS summary = doi = 10.3390/diagnostics10070440 id = cord-261062-9zhe3ejy author = Zhu, Shu-Ting title = Utility of Point-of-Care Lung Ultrasound for Clinical Classification of COVID-19 date = 2020-09-21 keywords = COVID-19; LUS; patient summary = doi = 10.1016/j.ultrasmedbio.2020.09.010 id = cord-015352-2d02eq3y author = nan title = ESPR 2017 date = 2017-04-26 keywords = ADC; CNS; CXR; DWI; JIA; LUS; MRE; MRI; Objective; Pediatr; Radiol; Suppl; ZIKV; case; child; diagnosis; disease; figure; finding; high; image; imaging; patient; pediatric; study summary = Lapierre; Montreal/CA Summary: Objectives: To review the classification of visceroatrial situs To describe the associated cardiac and non-cardiac anomalies To illustrate typical findings in fetuses, neonates and children To discuss the surgical consideration and the long-term follow-up in these patients Abstract: By definition, the type of situs is determined by the relationship between the atria and the adjacent organs. As is often the case, radiology in JIA is all about: knowing your clinicians (i.e. the pretest likelihood for disease) being technically eloquent (e.g. using high-resolution US probes, not delaying post-contrast MRI acquisitions) knowing what is normal (e.g. normal undulations in the articular surface, focal bone marrow signal variation) not being dogmatic about individual observations or measurements interpreting your findings in a clinical context The lecture will demonstrate similarities and differences among joints and modalities in children with variable-severity JIA. doi = 10.1007/s00247-017-3820-2