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Medicina (Kaunas, Lithuania) Apr 2023: prosthetic loosening after hip and knee arthroplasty is one of the most common causes of joint arthroplasty failure and revision surgery. Diagnosis of prosthetic... (Meta-Analysis)
Meta-Analysis Review
: prosthetic loosening after hip and knee arthroplasty is one of the most common causes of joint arthroplasty failure and revision surgery. Diagnosis of prosthetic loosening is a difficult problem and, in many cases, loosening is not clearly diagnosed until accurately confirmed during surgery. The purpose of this study is to conduct a systematic review and meta-analysis to demonstrate the analysis and performance of machine learning in diagnosing prosthetic loosening after total hip arthroplasty (THA) and total knee arthroplasty (TKA). : three comprehensive databases, including MEDLINE, EMBASE, and the Cochrane Library, were searched for studies that evaluated the detection accuracy of loosening around arthroplasty implants using machine learning. Data extraction, risk of bias assessment, and meta-analysis were performed. : five studies were included in the meta-analysis. All studies were retrospective studies. In total, data from 2013 patients with 3236 images were assessed; these data involved 2442 cases (75.5%) with THAs and 794 cases (24.5%) with TKAs. The most common and best-performing machine learning algorithm was DenseNet. In one study, a novel stacking approach using a random forest showed similar performance to DenseNet. The pooled sensitivity across studies was 0.92 (95% CI 0.84-0.97), the pooled specificity was 0.95 (95% CI 0.93-0.96), and the pooled diagnostic odds ratio was 194.09 (95% CI 61.60-611.57). The I2 statistics for sensitivity and specificity were 96% and 62%, respectively, showing that there was significant heterogeneity. The summary receiver operating characteristics curve indicated the sensitivity and specificity, as did the prediction regions, with an AUC of 0.9853. : the performance of machine learning using plain radiography showed promising results with good accuracy, sensitivity, and specificity in the detection of loosening around THAs and TKAs. Machine learning can be incorporated into prosthetic loosening screening programs.
Topics: Humans; Arthroplasty, Replacement, Knee; Retrospective Studies; Prosthesis Failure; Arthroplasty, Replacement, Hip; Machine Learning; Reoperation
PubMed: 37109740
DOI: 10.3390/medicina59040782 -
PloS One 2017Automatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive... (Review)
Review
BACKGROUND
Automatic detection or classification of adventitious sounds is useful to assist physicians in diagnosing or monitoring diseases such as asthma, Chronic Obstructive Pulmonary Disease (COPD), and pneumonia. While computerised respiratory sound analysis, specifically for the detection or classification of adventitious sounds, has recently been the focus of an increasing number of studies, a standardised approach and comparison has not been well established.
OBJECTIVE
To provide a review of existing algorithms for the detection or classification of adventitious respiratory sounds. This systematic review provides a complete summary of methods used in the literature to give a baseline for future works.
DATA SOURCES
A systematic review of English articles published between 1938 and 2016, searched using the Scopus (1938-2016) and IEEExplore (1984-2016) databases. Additional articles were further obtained by references listed in the articles found. Search terms included adventitious sound detection, adventitious sound classification, abnormal respiratory sound detection, abnormal respiratory sound classification, wheeze detection, wheeze classification, crackle detection, crackle classification, rhonchi detection, rhonchi classification, stridor detection, stridor classification, pleural rub detection, pleural rub classification, squawk detection, and squawk classification.
STUDY SELECTION
Only articles were included that focused on adventitious sound detection or classification, based on respiratory sounds, with performance reported and sufficient information provided to be approximately repeated.
DATA EXTRACTION
Investigators extracted data about the adventitious sound type analysed, approach and level of analysis, instrumentation or data source, location of sensor, amount of data obtained, data management, features, methods, and performance achieved.
DATA SYNTHESIS
A total of 77 reports from the literature were included in this review. 55 (71.43%) of the studies focused on wheeze, 40 (51.95%) on crackle, 9 (11.69%) on stridor, 9 (11.69%) on rhonchi, and 18 (23.38%) on other sounds such as pleural rub, squawk, as well as the pathology. Instrumentation used to collect data included microphones, stethoscopes, and accelerometers. Several references obtained data from online repositories or book audio CD companions. Detection or classification methods used varied from empirically determined thresholds to more complex machine learning techniques. Performance reported in the surveyed works were converted to accuracy measures for data synthesis.
LIMITATIONS
Direct comparison of the performance of surveyed works cannot be performed as the input data used by each was different. A standard validation method has not been established, resulting in different works using different methods and performance measure definitions.
CONCLUSION
A review of the literature was performed to summarise different analysis approaches, features, and methods used for the analysis. The performance of recent studies showed a high agreement with conventional non-automatic identification. This suggests that automated adventitious sound detection or classification is a promising solution to overcome the limitations of conventional auscultation and to assist in the monitoring of relevant diseases.
Topics: Asthma; Automation; Humans; Pneumonia; Pulmonary Disease, Chronic Obstructive; Respiratory Sounds
PubMed: 28552969
DOI: 10.1371/journal.pone.0177926 -
Journal of Athletic Training Jun 2016Mugunthan K, Doust J, Kurz B, Glasziou P. Is there sufficient evidence for tuning fork tests in diagnosing fractures? A systematic review. BMJ Open. 2014;4(8):e005238. (Review)
Review
REFERENCE/CITATION
Mugunthan K, Doust J, Kurz B, Glasziou P. Is there sufficient evidence for tuning fork tests in diagnosing fractures? A systematic review. BMJ Open. 2014;4(8):e005238.
CLINICAL QUESTION
Does evidence support the use of tuning-fork tests in the diagnosis of fractures in clinical practice?
DATA SOURCES
The authors performed a comprehensive literature search of AMED, CAB Abstracts, CINAHL, EMBASE, MEDLINE, SPORTDiscus, and Web of Science from each database's start to November 2012. In addition, they manually searched reference lists from the initial search result to identify relevant studies. The following key words were used independently or in combination: auscultation, barford test, exp fractures, fracture, tf test, tuning fork.
STUDY SELECTION
Studies were eligible based on the following criteria: (1) primary studies that assessed the diagnostic accuracy of tuning forks; (2) measured against a recognized reference standard such as magnetic resonance imaging, radiography, or bone scan; and (3) the outcome was reported using pain or reduction of sound. Studies included patients of all ages in all clinical settings with no exclusion for language of publication. Studies were not eligible if they were case series, case-control studies, or narrative review papers.
DATA EXTRACTION
Potentially eligible studies were independently assessed by 2 researchers. All relevant articles were included and assessed for inclusion criteria and value using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, and relevant data were extracted. The QUADAS-2 is an updated version of the original QUADAS and focuses on both the risk of bias and applicability of a study through a series of questions. A third researcher was consulted if the 2 initial reviewers did not reach consensus. Data for the primary outcome measure (accuracy of the test) were presented in a 2 × 2 contingency table to show sensitivity and specificity (using the Wilson score method) and positive and negative likelihood ratios with 95% confidence intervals.
MAIN RESULTS
A total of 62 citations were initially identified. Six primary studies (329 patients) were included in the review. The 6 studies assessed the accuracy of 2 tuning-fork test methods (pain induction and reduction of sound transmission). The patients ranged in age from 7 to 84 years. The prevalence of fracture in these patients ranged from 10% to 80% using a reference standard such as magnetic resonance imaging, radiography, or bone scan. The sensitivity of the tuning-fork tests was high, ranging from 75% to 92%. The specificity of the tuning-fork tests had a wide range of 18% to 94%. The positive likelihood ratios ranged from 1.1 to 16.5; the negative likelihood ratios ranged from 0.09 to 0.49.
CONCLUSIONS
The studies included in this review demonstrated that tuning-fork tests have some value in ruling out fractures. However, strong evidence is lacking to support the use of current tuning-fork tests to rule in a fracture in clinical practice. Similarly, the tuning-fork tests were not statistically accurate in the diagnosis of fractures for widespread clinical use. Despite the lack of strong evidence for diagnosing all fractures, tuning-fork tests may be appropriate in rural and remote settings in which access to the gold standards for diagnosis of fractures is limited.
Topics: Diagnostic Imaging; Fractures, Bone; Humans; Magnetic Resonance Imaging; Ultrasonography
PubMed: 27384015
DOI: 10.4085/1062-6050-51.7.06 -
Arthritis Care & Research May 2011To systematically evaluate the literature addressing the role of magnetic resonance imaging (MRI) in the diagnosis and prognosis of early undifferentiated inflammatory... (Review)
Review
OBJECTIVE
To systematically evaluate the literature addressing the role of magnetic resonance imaging (MRI) in the diagnosis and prognosis of early undifferentiated inflammatory arthritis and rheumatoid arthritis (RA).
METHODS
We performed a systematic literature review of the performance characteristics of MRI for diagnosing and prognosticating RA. We searched Ovid, supplementing this with manual searches of bibliographies, journals, meeting proceedings, and the ClinicalTrials.gov web site. To identify diagnostic studies, we included studies of any duration that prospectively examined whether MRI findings predicted RA diagnosis and reported adequate information to calculate sensitivity and specificity. To identify prognostic studies, we included prospective studies with at least a 12-month followup period that measured both baseline MRI findings and clinical and/or radiographic outcomes.
RESULTS
For diagnostic studies (n = 11), sensitivity and specificity of MRI findings for RA diagnosis ranged from 20-100% and 0-100%, respectively, depending upon the criteria used. Diagnostic performance of MRI improved when lower-quality studies or studies with longer disease duration were excluded. For prognostic studies (n = 17), MRI findings did not predict clinical remission, and the ability to predict radiographic progression varied significantly (range 18-100% for sensitivity and 5.9-97% for specificity). Restricting the analysis to specific MRI findings or earlier disease improved MRI prognostic performance. The only prognostic study reporting 100% of a priori quality criteria found MRI bone edema to be the strongest predictor of radiographic progression.
CONCLUSION
Data evaluating MRI for the diagnosis and prognosis of early RA are currently inadequate to justify widespread use of this technology for these purposes, although MRI bone edema may be predictive of progression in certain RA populations.
Topics: Arthritis, Rheumatoid; Bone and Bones; Disease Progression; Edema; Evidence-Based Medicine; Humans; Magnetic Resonance Imaging; Predictive Value of Tests; Prognosis; Radiography; Sensitivity and Specificity; Severity of Illness Index
PubMed: 21557523
DOI: 10.1002/acr.20409 -
Rheumatology (Oxford, England) Sep 2017To systematically review the role of musculoskeletal US in patients suffering from PsA or psoriasis (Pso) in terms of prevalence, diagnosis, prognosis, monitoring and... (Review)
Review
OBJECTIVE
To systematically review the role of musculoskeletal US in patients suffering from PsA or psoriasis (Pso) in terms of prevalence, diagnosis, prognosis, monitoring and treatment.
METHODS
A systematic literature review was conducted through medical databases (MEDLINE via PubMed, Embase) and the grey literature up to September 2015 to inform a new study of the Musculoskeletal Ultrasound Study Group of the Italian Society for Rheumatology. All articles reporting data on musculoskeletal US in PsA or Pso were included and extracted according to the underlying clinical question.
RESULTS
A total of 86 publications were included. The prevalence of US abnormalities showed a wide range for each examined feature (e.g. 37-95% for entheses thickness of the lower limbs). The performance of US for diagnosis of disease or elementary lesions was variable across studies, but no study evaluated the overall performance of US in addition to clinical findings for diagnosing PsA. Considering US in defining PsA and Pso prognosis, several works focused on US of entheses of lower limbs in Pso, while for the monitoring of PsA activity five different scoring systems were identified. Last, the results of the role of US in guiding intra-articular interventions were controversial for the clinical outcomes, but in favour of US for accuracy.
CONCLUSION
despite the recognized importance of US in the management of PsA and Pso, this review clearly demonstrated the need of pivotal research in order to optimize the use of US in the diagnosis and monitoring of psoriatic disease.
Topics: Arthritis, Psoriatic; Humans; Musculoskeletal System; Prevalence; Prognosis; Psoriasis; Sensitivity and Specificity; Ultrasonography; Ultrasonography, Interventional
PubMed: 28521047
DOI: 10.1093/rheumatology/kex179 -
International Journal of Environmental... May 2021Arterial hypertension (HT) is a chronic condition of elevated blood pressure (BP), which may cause increased incidence of cardiovascular disease, stroke, kidney failure... (Review)
Review
Arterial hypertension (HT) is a chronic condition of elevated blood pressure (BP), which may cause increased incidence of cardiovascular disease, stroke, kidney failure and mortality. If the HT is diagnosed early, effective treatment can control the BP and avert adverse outcomes. Physiological signals like electrocardiography (ECG), photoplethysmography (PPG), heart rate variability (HRV), and ballistocardiography (BCG) can be used to monitor health status but are not directly correlated with BP measurements. The manual detection of HT using these physiological signals is time consuming and prone to human errors. Hence, many computer-aided diagnosis systems have been developed. This paper is a systematic review of studies conducted on the automated detection of HT using ECG, HRV, PPG and BCG signals. In this review, we have identified 23 studies out of 250 screened papers, which fulfilled our eligibility criteria. Details of the study methods, physiological signal studied, database used, various nonlinear techniques employed, feature extraction, and diagnostic performance parameters are discussed. The machine learning and deep learning based methods based on ECG and HRV signals have yielded the best performance and can be used for the development of computer-aided diagnosis of HT. This work provides insights that may be useful for the development of wearable for continuous cuffless remote monitoring of BP based on ECG and HRV signals.
Topics: Electrocardiography; Heart Rate; Humans; Hypertension; Monitoring, Physiologic; Photoplethysmography
PubMed: 34072304
DOI: 10.3390/ijerph18115838 -
Molecular Imaging and Biology Feb 2013This systematic review and meta-analysis aimed to quantify the diagnostic performance of pancreatic venous sampling (PVS), selective pancreatic arterial calcium... (Meta-Analysis)
Meta-Analysis Review
PURPOSE
This systematic review and meta-analysis aimed to quantify the diagnostic performance of pancreatic venous sampling (PVS), selective pancreatic arterial calcium stimulation with hepatic venous sampling (ASVS), and (18)F-DOPA positron emission tomography (PET) in diagnosing and localizing focal congenital hyperinsulinism (CHI).
PROCEDURES
This systematic review and meta-analysis was conducted according to the PRISMA statement. PubMed, EMBASE, SCOPUS and Web of Science electronic databases were systematically searched from their inception to November 1, 2011. Using predefined inclusion and exclusion criteria, two blinded reviewers selected articles. Critical appraisal ranked the retrieved articles according to relevance and validity by means of the QUADAS-2 criteria. Pooled data of homogeneous study results estimated the sensitivity, specificity, likelihood ratios and diagnostic odds ratio (DOR).
RESULTS
(18)F-DOPA PET was superior in distinguishing focal from diffuse CHI (summary DOR, 73.2) compared to PVS (summary DOR, 23.5) and ASVS (summary DOR, 4.3). Furthermore, it localized focal CHI in the pancreas more accurately than PVS and ASVS (pooled accuracy, 0.82 vs. 0.76, and 0.64, respectively). Important limitations comprised the inclusion of studies with small sample sizes, high probability of bias and heterogeneity among their results. Studies with small sample sizes and high probability of bias tended to overestimate the diagnostic accuracy.
CONCLUSIONS
This systematic review and meta-analysis found evidence for the superiority of (18)F-DOPA PET in diagnosing and localizing focal CHI in patients requiring surgery for this disease.
Topics: Congenital Hyperinsulinism; Dihydroxyphenylalanine; Fluorine Radioisotopes; Humans; Pancreas; Positron-Emission Tomography; Radiopharmaceuticals
PubMed: 22752652
DOI: 10.1007/s11307-012-0572-0 -
Journal of Clinical Microbiology Aug 2015The role of interferon gamma release assays (IGRAs), although established for identifying latent tuberculosis, is still evolving in the diagnosis of active... (Meta-Analysis)
Meta-Analysis Review
The role of interferon gamma release assays (IGRAs), although established for identifying latent tuberculosis, is still evolving in the diagnosis of active extrapulmonary tuberculosis. We systematically evaluated the diagnostic performance of blood- and pleural fluid-based IGRAs in tuberculous pleural effusion (TPE). We searched the PubMed and Embase databases for studies evaluating the use of commercially available IGRAs on blood and/or pleural fluid samples for diagnosing TPE. The quality of the studies included was assessed through the QUADAS-2 tool. The pooled estimates of sensitivity and specificity with 95% confidence intervals (95% CI) were generated using a bivariate random-effects model and examined using forest plots and hierarchical summary receiver operating characteristic (HSROC) curves. Indeterminate IGRA results were included for sensitivity calculations. Heterogeneity was explored through subgroup analysis and meta-regression based on prespecified covariates. We identified 19 studies assessing the T.SPOT.TB and/or QuantiFERON assays. There were 20 and 14 evaluations, respectively, of whole-blood and pleural fluid assays, involving 1,085 and 727 subjects, respectively. There was only one good-quality study, and five studies used nonstandard assay thresholds. The pooled sensitivity and specificity for the blood assays were 0.77 (95% CI, 0.71 to 0.83) and 0.71 (95% CI, 0.65 to 0.76), respectively. The pooled sensitivity and specificity for the pleural fluid assays were 0.72 (95% CI, 0.55 to 0.84) and 0.78 (95% CI, 0.65 to 0.87), respectively. There was considerable heterogeneity; however, multivariate meta-regression did not identify any covariate with significant influence. There was no publication bias for blood assays. We conclude that commercial IGRAs, performed either on whole-blood or pleural fluid samples, have poor diagnostic accuracy in patients suspected to have TPE.
Topics: Antigens, Bacterial; Blood; Diagnostic Tests, Routine; Humans; Interferon-gamma Release Tests; Pleural Effusion; ROC Curve; Sensitivity and Specificity; Tuberculosis, Pleural
PubMed: 25994163
DOI: 10.1128/JCM.00823-15 -
Neurological Sciences : Official... Apr 2021The aim of the present systematic revision is to analyze existing published reports about the use of home-videos recordings (HVRs) to support physicians in the... (Review)
Review
BACKGROUND
The aim of the present systematic revision is to analyze existing published reports about the use of home-videos recordings (HVRs) to support physicians in the differential diagnosis of paroxysmal seizure-like episodes (PSLE). We also developed practical recommendations in order to ensure adequate quality standards and safety advice for HVRs.
MATERIAL AND METHODS
A comprehensive search of PubMed, Medline, Scopus, and Google Scholar was performed, and results were included up to July 2020. All studies concerning the use of HVRs as a diagnostic tool for patients presenting PSLE were included.
RESULTS
Seventeen studies satisfied all inclusion and exclusion criteria and were considered for the review. A consistent boost in diagnostic and clinical decision-making was reported across all studies in the literature. One study found that HVRs decreased the stress level in many families and improved their quality of life. Training in performing good-quality videos is necessary and increases the diagnostic value of HVRs.
CONCLUSIONS
HVRs can be of diagnostic value in epilepsy diagnosis and management. HVRs are low cost, widespread, and may provide great support for neurologists. It is important to train patients and caregivers in performing good quality videos to optimize this useful tool and to guarantee safety standards during the recording.
Topics: Epilepsy; Humans; Neurologists; Quality of Life; Seizures; Video Recording
PubMed: 33471259
DOI: 10.1007/s10072-021-05040-5 -
International Journal of Molecular... Jun 2023Various papers have introduced the use of positron emission tomography (PET) with [Ga]Ga-radiolabeled fibroblast-activation protein inhibitor (FAPi) radiopharmaceuticals... (Meta-Analysis)
Meta-Analysis Review
Various papers have introduced the use of positron emission tomography (PET) with [Ga]Ga-radiolabeled fibroblast-activation protein inhibitor (FAPi) radiopharmaceuticals in different subtypes of gastric cancer (GC). Our aim was to assess the diagnostic performance of this novel molecular imaging technique in GC with a systematic review and meta-analysis. A straightforward literature search of papers concerning the diagnostic performance of FAP-targeted PET imaging was performed. Original articles evaluating this novel molecular imaging examination in both newly diagnosed GC patients and GC patients with disease relapse were included. The systematic review included nine original studies, and eight of them were also eligible for meta-analysis. The quantitative synthesis provided pooled detection rates of 95% and 97% for the assessment of primary tumor and distant metastases, respectively, and a pooled sensitivity and specificity of 74% and 89%, respectively, for regional lymph node metastases. Significant statistical heterogeneity among the included studies was found only in the analysis of the primary tumor detection rate (I = 64%). Conclusions: Beyond the limitations of this systematic review and meta-analysis (i.e., all the included studies were conducted in Asia, and using [F]FDG PET/CT as a comparator of the index test), the quantitative data provided demonstrate the promising diagnostic performance of FAP-targeted PET imaging in GC. Nevertheless, more prospective multicentric studies are needed to confirm the excellent performances of FAP-targeted PET in this cluster of patients.
Topics: Humans; Positron Emission Tomography Computed Tomography; Stomach Neoplasms; Prospective Studies; Neoplasm Recurrence, Local; Positron-Emission Tomography; Radiopharmaceuticals; Fluorodeoxyglucose F18; Gallium Radioisotopes
PubMed: 37373285
DOI: 10.3390/ijms241210136