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Journal of Clinical Neuroscience :... Feb 2018Cervical intradural disc herniation (CIDH) is rare, and diagnosis and treatment are challenging. We conducted a systematic review and meta-analysis of the literature on... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Cervical intradural disc herniation (CIDH) is rare, and diagnosis and treatment are challenging. We conducted a systematic review and meta-analysis of the literature on the diagnosis and treatment of CIDH.
METHOD
The presentation, imaging manifestations, diagnosis, management, prognosis and possible pathogenesis were reviewed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. English-language studies and case reports published from inception to 2017 were retrieved. Data on presentation, imaging characteristics, diagnosis, management, outcomes and pathogenesis were extracted.
RESULTS
Twenty articles involving 23 patients were selected. The most common involved level was C5-6 (43.5%), followed by C6-7 (30.4%), C4-5 (13%), and C3-4 (13%). Spontaneous IDH occurred in 61% of the patients, and relevant cervical trauma was present in 39%. Brown-Sequard's syndrome (56.5%), quadriparesis (34.8%), and radiculopathy (8.7%) were the main presentations. Magnetic resonance imaging (MRI) was the most commonly used diagnostic technique, and the "halo" and "Y-sign" were strong indicators of CIDH. Three (13%) patients were diagnosed as having CIDH preoperatively, and 87% were confirmed intraoperatively. All patients underwent surgical intervention primarily (73.9%) through an anterior approach. Neurological function improved postoperatively in all patients but one. Dural and arachnoid mater tears were managed by direct suture or covering with a substitute, and only one patient sustained cerebrospinal fluid (CSF) leakage after surgery.
CONCLUSION
IDH mostly involves the lower cervical spine. More than half of the patients had spontaneous CIDH, and some had a relevant cervical trauma history. BSS was the main presentation. It is difficult to diagnose CIDH depending on clinical presentations and radiographic findings. Surgery was an effective treatment for CIDH and can provide a definitive diagnosis. With meticulous management of dural and arachnoid tears, the postoperative incidence of CSF leakage was found to be low.
Topics: Cerebrospinal Fluid Leak; Cervical Vertebrae; Humans; Intervertebral Disc Degeneration; Intervertebral Disc Displacement; Magnetic Resonance Imaging
PubMed: 29162303
DOI: 10.1016/j.jocn.2017.10.024 -
Annals of the Royal College of Surgeons... Feb 2020Gynaecological structures such as the ovaries, fallopian tubes, ligaments and uterus are rarely encountered inside a hernial sac. The prevalence of groin hernias...
INTRODUCTION
Gynaecological structures such as the ovaries, fallopian tubes, ligaments and uterus are rarely encountered inside a hernial sac. The prevalence of groin hernias containing parts of female genitalia remains unknown. The aim of this review was to summarise the existing evidence on inguinal hernias containing ovaries with or without the other female adnexa.
METHODS
A systematic search was conducted for literature published up to February 2018 using the MEDLINE, Scopus and Google Scholar™ databases along with the references of the full-text articles retrieved. Papers on observational studies and case reports concerning women who were diagnosed with an ovarian inguinal hernia (pre or intraoperatively) were considered eligible for inclusion in the review.
RESULTS
Fifteen papers (13 case reports, 2 case series) comprising seventeen patients (mean age 47.9 years) were evaluated. A left-sided hernia was noted in 13 cases (77%) whereas 4 patients had a right-sided hernia. Eight patients underwent preoperative imaging with computed tomography, ultrasonography or both. This was diagnostic in five cases. In 11 patients, hernia contents were repositioned, 2 had a salpingo-oophorectomy and 2 an oophorectomy. Eight patients underwent hernia repair with mesh placement while three had a herniorrhaphy.
CONCLUSIONS
Ovarian inguinal hernias should be considered among the differential diagnoses of a groin mass or swelling. In women of reproductive age, repair of the hernia with the intent to preserve fertility is of critical importance.
Topics: Female; Hernia, Inguinal; Herniorrhaphy; Humans; Inguinal Canal; Ovarian Diseases; Ovariectomy; Ovary; Prevalence; Salpingo-oophorectomy; Surgical Mesh; Tomography, X-Ray Computed; Ultrasonography
PubMed: 31696731
DOI: 10.1308/rcsann.2019.0137 -
Ultrasound in Medicine & Biology Mar 2023Elastography is capable of measuring tissue mechanical properties and elasticity. It is used to help diagnose various diseases, although its use in pelvic endometriosis... (Meta-Analysis)
Meta-Analysis Review
Elastography is capable of measuring tissue mechanical properties and elasticity. It is used to help diagnose various diseases, although its use in pelvic endometriosis remains to be established. A systematic review and meta-analysis were conducted to assess transvaginal ultrasound elastography for the diagnosis of different manifestations of endometriosis and adenomyosis. PRISMA guidelines were used for a Medline, PubMed, Embase, BVS/Bireme, Scopus, Cochrane Library and Escudos database search. Studies indexed until March 2021 that evaluated elastography compared with histopathological results (gold standard), ultrasound or magnetic resonance imaging for diagnosis of pelvic endometriosis and adenomyosis were eligible. The Rayyan platform was used to select studies. Sensitivity (S), specificity (Ps), positive and negative predictive values and receiver operating characteristic curves were calculated for elastographic diagnosis of endometriosis. A meta-analysis using Review Manager 5 and Open Meta Analyst was performed. Bias risk in the studies was analyzed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 tool. This systematic review was prospectively registered in the PROSPERO database: CRD42021244555. Among the 163 identified citations, 10 studies were eligible for review (5 for diagnosis of adenomyosis, 2 for endometrioma, 3 for deep intestinal endometriosis and rectovaginal septum [deep pelvic endometriosis], N = 744 women). In deep pelvic endometriosis, lesions diagnosed by elastography were found to correlate with histopathology results. Increased "stiffness" (elastography) was associated with a higher fibrotic component, with S = 78%-100% and Ps = 100%, according to the authors. On elastography, endometriomas were stiffer than hemorrhagic cysts (S = 82%, Ps = 79%) and malignant tumors (S = 86%, Ps = 100%). For these lesions, a meta-analysis could not be performed because the small number of studies and insufficient data. In adenomyosis, meta-analysis and receiver operating characteristic curve analysis revealed that elastography had good sensitivity and specificity. Studies indicated a low bias risk by QUADAS-2. Elastography had high sensitivity and specificity for deep pelvic endometriosis diagnosis, and its findings correlated with histopathology results. For adenomyosis, the meta-analysis confirmed the sensitivity and specificity results of the studies. Given these results, elastography may be a promising imaging test, contributing to non-invasive diagnosis of endometriosis and adenomyosis.
Topics: Female; Humans; Elasticity Imaging Techniques; Endometriosis; Adenomyosis; Ultrasonography; Sensitivity and Specificity
PubMed: 36528440
DOI: 10.1016/j.ultrasmedbio.2022.11.006 -
ESC Heart Failure Aug 2023The aim of the meta-analysis was to generate a more comprehensive understanding of the HFA-PEFF score in the diagnosis of heart failure with preserved ejection fraction... (Meta-Analysis)
Meta-Analysis Review
The aim of the meta-analysis was to generate a more comprehensive understanding of the HFA-PEFF score in the diagnosis of heart failure with preserved ejection fraction (HFpEF) and to pose clues in the field of scientific and clinical practice. Electronic databases of PubMed, Web of Science, Cochrane Library, and Embase were systematically searched. Studies investigating the use of the HFA-PEFF score to diagnose HFpEF were included. Pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative Likelihood Ratio (NLR), diagnostic odds ratio (DOR), area under the curve of summary receiver operating characteristic, and superiority index were calculated. Five studies with 1521 participants were included in this meta-analysis. In the pooled analysis of the 'Rule-out' approach, the pooled sensitivity, specificity, PLR, NLR, and DOR were 0.98 (0.94, 1.00), 0.33 (0.08, 0.73), 1.5 (0.8, 2.5), 0.05 (0.02, 0.17), and 28 (6, 127). In the pooled analysis of the 'Rule-in' approach, the pooled sensitivity and specificity, PLR, NLR, and DOR were 0.69 (0.62, 0.75), 0.87 (0.64, 0.96), 5.5 (1.8, 16.9), 0.35 (0.30, 0.41), and 16 (5, 50). This meta-analysis indicates that the HFA-PEFF algorithm showed acceptable specificity and sensitivity for the diagnosis and exclusion of HFpEF. More relevant studies on the diagnostic validity of the HFA-PEFF score are needed in the future.
Topics: Humans; Heart Failure; Stroke Volume; Sensitivity and Specificity; ROC Curve; Algorithms
PubMed: 37292053
DOI: 10.1002/ehf2.14421 -
Seminars in Reproductive Medicine May 2020To summarize and update our current knowledge regarding adenomyosis diagnosis, prevalence, and symptoms. Systematic review of PubMed between January 1972 and April 2020....
To summarize and update our current knowledge regarding adenomyosis diagnosis, prevalence, and symptoms. Systematic review of PubMed between January 1972 and April 2020. Search strategy included: "adenomyosis [MeSH Terms] AND (endometriosis[MeSH Term OR prevalence study [MeSH Terms] OR dysmenorrhea[Text Word] OR prevalence[Text Word] OR young adults [Text Word] OR adolesce* [Text Word] OR symptoms[Text Word] OR imaging diagnosis [Text Word] OR pathology[Text Word]. Articles published in English that addressed adenomyosis and discussed prevalence, diagnosis, and symptoms were included. Included articles described: pathology diagnosis, imaging, biopsy diagnosis, prevalence and age of onset, symptoms, and concomitant endometriosis. Sixteen articles were included in the qualitative analysis. The studies are heterogeneous when diagnosing adenomyosis with differing criteria, protocols, and patient populations. Prevalence estimates range from 20% to 88.8% in symptomatic women (average 30-35%) with most diagnosed between 32-38 years old. The correlation between imaging and pathology continues to evolve. As imaging advances, newer studies report younger symptomatic women are being diagnosed with adenomyosis based on both magnetic resonance imaging (MRI) and/or transvaginal ultrasound (TVUS). High rates of concomitant endometriosis create challenges when discerning the etiology of pelvic pain. Symptoms that are historically attributed to endometriosis may actually be caused by adenomyosis. Adenomyosis remains a challenge to identify, assess and research because of the lack of standardized diagnostic criteria, especially in women who wish to retain their uterus. As noninvasive diagnostics such as imaging and myometrial biopsies continue to improve, younger women with variable symptoms will likely create criteria for diagnosis with adenomyosis. The priority should be to create standardized histopathological and imaging diagnoses to gain deeper understandings of adenomyosis.
Topics: Adenomyosis; Adolescent; Adult; Diagnosis, Differential; Disease Progression; Dysmenorrhea; Dyspareunia; Endometriosis; Female; Humans; Infertility, Female; Magnetic Resonance Imaging; Menorrhagia; Myometrium; Ultrasonography; Young Adult
PubMed: 33352607
DOI: 10.1055/s-0040-1721795 -
Spine May 2017A systematic review. (Review)
Review
STUDY DESIGN
A systematic review.
OBJECTIVE
The aim of this study was to provide an evidence-based recommendation for when and how to employ imaging studies when diagnosing back pain thought to be caused by spondylolysis in pediatric patients.
SUMMARY OF BACKGROUND DATA
Spondylolysis is a common structural cause of back pain in pediatric patients. The radiologic methods and algorithms used to diagnose spondylolysis are inconsistent among practitioners.
METHODS
A literature review was performed in PubMed and Cochrane databases using the search terms "spondylolysis," "pediatric," "adolescent," "juvenile," "young," "lumbar," "MRI," "bone scan," "CT," and "SPECT." After inclusion criteria were applied, 13 articles pertaining to diagnostic imaging of pediatric spondylolysis were analyzed.
RESULTS
Ten papers included sensitivity calculations for comparing imaging performance. The average sensitivity of magnetic resonance imaging (MRI) with computed tomography (CT) as the standard of reference was 81.4%. When compared with single-photon emission CT (SPECT), the average sensitivity of CT was 85% and the sensitivity of MRI was 80%. Thirteen studies made a recommendation as to how best to perform diagnostic imaging of patients with clinically suspected spondylolysis. When compared with two-view plain films, bone scans had seven to nine times the effective radiation dose, while four-view plain films and CT were approximately double. Of the diagnostic methods examined, MRI was the most expensive followed by CT, bone scan, four-view plain films, and two-view plain films.
CONCLUSION
Due to their efficacy, low cost, and low radiation exposure, we find two-view plain films to be the best initial study. With unusual presentations or refractory courses, practitioners should pursue advanced imaging. MRI should be used in early diagnosis and CT in more persistent courses. However, the lack of rigorous studies makes it difficult to formulate concrete recommendations.
LEVEL OF EVIDENCE
3.
Topics: Back Pain; Early Diagnosis; Humans; Magnetic Resonance Imaging; Pediatrics; Radiography; Spondylolysis
PubMed: 27669047
DOI: 10.1097/BRS.0000000000001912 -
JAMA Otolaryngology-- Head & Neck... Nov 2023Head and neck cancers (HNCs) are often diagnosed at advanced clinical stages during their symptomatic phase, leading to a reduced treatment window and poor survival....
IMPORTANCE
Head and neck cancers (HNCs) are often diagnosed at advanced clinical stages during their symptomatic phase, leading to a reduced treatment window and poor survival. Screening programs have been suggested as a mitigation strategy.
OBJECTIVE
To examine the effectiveness of current HNC screening programs in improving diagnosis and survival in adults.
EVIDENCE REVIEW
This Preferred Reporting Items for Systematic Reviews and Meta-analyses-guided systematic review involved use of peer-reviewed, English-language journal articles identified from MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials between January 1, 2001, and July 15, 2022. Snowballing was applied to retrieve more studies. Eligible articles were original clinical trials and observational studies presenting a universal or risk-targeted screening program of primary HNC in the adult population. Reporting quality was assessed using the JBI's critical appraisal tools.
FINDINGS
Database searches yielded 3646 unique citations with an additional 8 studies found via snowballing. Five reviewers assessed the full text of 106 studies. Sixteen articles were ultimately included in the review, involving 4.7 million adults (34.1%-100% male; median age, 30-59 years). Fifteen studies were based in Asia and 1 in Europe (Portugal). Five reported data from randomized clinical trials. An oral inspection conducted once or once every 2 to 3 years was described in 11 studies for screening oral cancer, while multistep screening involving Epstein-Barr virus serologic testing for nasopharyngeal carcinoma delivered every 1 to 4 years was presented in 5. In 4 trials and 6 observational studies, screening significantly increased the detection of localized (stage I/II) tumor or was associated with an increased proportion of diagnoses, respectively, regardless of the population and cancer subsites. Universal screening of asymptomatic adults improved 3- to 5-year overall survival but did not increase cancer-specific survival in 4 trials. Targeted screening improved overall and cancer-specific survival or was associated with improved survival outcomes in 2 trials and 2 observational studies, respectively. Studies had low to medium risks of bias.
CONCLUSIONS AND RELEVANCE
Evidence from the existing literature suggests that a risk-targeted screening program for oral and nasopharyngeal cancers could improve diagnosis and patient survival. Screening adherence, societal cost-effectiveness, and optimal risk stratification of such a program warrant future research, especially in low-incidence settings outside Asia.
Topics: Adult; Humans; Male; Middle Aged; Female; Epstein-Barr Virus Infections; Early Detection of Cancer; Herpesvirus 4, Human; Head and Neck Neoplasms; Mouth Neoplasms
PubMed: 37796524
DOI: 10.1001/jamaoto.2023.3010 -
Multiple Sclerosis and Related Disorders Mar 2022In recent years Artificial intelligence (AI) techniques are rapidly evolving into clinical practices such as diagnosis and prognosis processes, assess treatment... (Review)
Review
BACKGROUND
In recent years Artificial intelligence (AI) techniques are rapidly evolving into clinical practices such as diagnosis and prognosis processes, assess treatment effectiveness, and monitoring of diseases. The previous studies showed interesting results regarding the diagnostic efficiency of AI methods in differentiating Multiple sclerosis (MS) patients from healthy controls or other demyelinating diseases. There is a great lack of a comprehensive systematic review study on the role of AI in the diagnosis of MS. We aimed to perform a systematic review to document the performance of AI in MS diagnosis.
METHODS
A systematic search was performed using four databases including PubMed, Scopus, Web of Science, and IEEE on August 2021. All original studies which focused on deep learning or AI to analyze any modalities with the purpose of diagnosing MS were included in our study.
RESULTS
Finally, 38 studies were included in our systematic review after the abstract and full-text screening. A total of 5433 individuals were included, including 2924 cases of MS and 2509 healthy controls. Sensitivity and specificity were reported in 29 studies which ranged from 76.92 to 100 for sensitivity and 74 to 100 for specificity. Furthermore, 34 studies reported accuracy ranged 81 to 100. Among included studies, Magnetic Resonance Imaging (MRI) (20 studies), OCT (six studies), serum and cerebrospinal fluid markers (six studies), movement function (three studies), and other modalities such as breathing and evoked potential was used for detecting MS via AI.
CONCLUSION
In conclusion, diagnosis of MS based on new markers and AI is a growing field of research with MRI images, followed by images obtained from OCT, serum and CSF biomarkers, and motor associated markers. All of these results show that with advances made in AI, the way we monitor and diagnose our MS patients can change drastically.
Topics: Artificial Intelligence; Humans; Magnetic Resonance Imaging; Multiple Sclerosis
PubMed: 35180619
DOI: 10.1016/j.msard.2022.103673 -
European Archives of... Oct 2023Obstructive sleep apnoea (OSA) is an increasing health problem in children. The "gold standard" for OSA diagnosis at the moment is overnight polysomnography (PSG). Some... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Obstructive sleep apnoea (OSA) is an increasing health problem in children. The "gold standard" for OSA diagnosis at the moment is overnight polysomnography (PSG). Some researchers think portable monitors (PMs) are promising methods for diagnosing OSA, which make children more comfortable and lower costs. Compared with PSG, our comprehensively evaluated the diagnostic accuracy of PMs for diagnosing OSA in pediatrics.
RESEARCH QUESTION
This study aims to determine whether PMs can replace PSG in pediatric OSA diagnosis.
STUDY DESIGN AND METHODS
The PubMed, Embase, Medline databases Scopus, Web of Science, and Cochrane Library databases were searched systematically for studies published up to December 2022, evaluating the ability of PMs to diagnose OSA in children. For estimating the pooled sensitivity and specificity of the PMs in the included studies, we used a random-effects bivariate model. Studies included in this meta-analysis were evaluated systematically according to QUADAS-2 guidelines for assessing diagnostic accuracy studies. Two independent investigators conducted each stage of the review independently.
RESULTS
A total of 396 abstracts and 31 full-text articles were screened, and 41 full-text articles were chosen for final review. There were 707 pediatric patients enrolled in these twelve studies, and 9 PMs were evaluated. There was a wide range of diagnostic sensitivity and specificity among PM systems as compared to AHI measured by PSG. The pooled sensitivity and specificity in diagnosing pediatric OSA were, respectively, 0.91 [0.86, 0.94] and 0.76 [0.58, 0.88] for PMs. According to the summary receiver operating characteristic (SROC) curve, the AUC of PMs in diagnosing OSA in pediatric population was 0.93 [0.90, 0.95].
INTERPRETATION
PMs were more sensitive but slightly less specific for pediatric OSA. The combination of PMs and questionnaires appeared to be a reliable tool for the diagnosis of pediatric OSA. This test may be used for screening subjects or populations at high risk of OSA when there is a high demand for PSG, but the quantity is limited. No clinical trial was involved in the current study.
Topics: Humans; Child; Polysomnography; Sleep; Sleep Apnea, Obstructive; Sensitivity and Specificity; ROC Curve
PubMed: 37405453
DOI: 10.1007/s00405-023-08095-6 -
Journal of Medical Internet Research Nov 2021Bipolar disorder (BD) is the 10th most common cause of frailty in young individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life... (Review)
Review
BACKGROUND
Bipolar disorder (BD) is the 10th most common cause of frailty in young individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life expectancy 9 to 17 years lower than that of normal people. BD is a predominant mental disorder, but it can be misdiagnosed as depressive disorder, which leads to difficulties in treating affected patients. Approximately 60% of patients with BD are treated for depression. However, machine learning provides advanced skills and techniques for better diagnosis of BD.
OBJECTIVE
This review aims to explore the machine learning algorithms used for the detection and diagnosis of bipolar disorder and its subtypes.
METHODS
The study protocol adopted the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We explored 3 databases, namely Google Scholar, ScienceDirect, and PubMed. To enhance the search, we performed backward screening of all the references of the included studies. Based on the predefined selection criteria, 2 levels of screening were performed: title and abstract review, and full review of the articles that met the inclusion criteria. Data extraction was performed independently by all investigators. To synthesize the extracted data, a narrative synthesis approach was followed.
RESULTS
We retrieved 573 potential articles were from the 3 databases. After preprocessing and screening, only 33 articles that met our inclusion criteria were identified. The most commonly used data belonged to the clinical category (19, 58%). We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning-based models (3, 9%). Magnetic resonance imaging data were most commonly used for classifying bipolar patients compared to other groups (11, 34%), whereas microarray expression data sets and genomic data were the least commonly used. The maximum ratio of accuracy was 98%, whereas the minimum accuracy range was 64%.
CONCLUSIONS
This scoping review provides an overview of recent studies based on machine learning models used to diagnose patients with BD regardless of their demographics or if they were compared to patients with psychiatric diagnoses. Further research can be conducted to provide clinical decision support in the health industry.
Topics: Algorithms; Bipolar Disorder; Data Management; Humans; Machine Learning; Natural Language Processing
PubMed: 34806996
DOI: 10.2196/29749