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Journal of Gastrointestinal and Liver... Jun 2024Endoscopic retrograde cholangiopancreatography (ERCP) with brush cytology is an important tool in the diagnosis of hepatobiliary malignancies. However, reported... (Meta-Analysis)
Meta-Analysis
BACKGROUND AND AIMS
Endoscopic retrograde cholangiopancreatography (ERCP) with brush cytology is an important tool in the diagnosis of hepatobiliary malignancies. However, reported sensitivity of brush cytology is suboptimal and differs markedly per study. The aim of this study is to analyze the optimal technique of endobiliary brushing during ERCP.
METHODS
A systematic review and meta-analysis according was performed using Pubmed, Embase and Cochrane library, and reported reported according to the PRISMA guidelines. The intervention reported should involve ERCP, performed by the endoscopist with a comparison of different brushing techniques. The primary outcome was sensitivity for malignancy. Studies published up to December 2022 were included. Percutaneous techniques and cytological or laboratory techniques for processing of material were excluded. Bias was assessed using the Quadas-2 tool. Pooled sensitivity rates and Forest plots were analyzed for the primary outcome.
RESULTS
A total of 16 studies were included. Three studies reported on brushing before or after dilation of a biliary stricture. No improvement in sensitivity was found. Five studies reported on alternative brush designs. This did not lead to improved sensitivity. Seven studies reported on the aspiration and analysis of bile fluid, which resulted in a 16% increase in sensitivity (95% CI 4-29%). One study reported an increased in the number of brush passes to the stricture, providing an increase in sensitivity of 20%. Substantial heterogeneity between studies was found, both methodological and statistical.
CONCLUSIONS
Increasing the number of brush-passes and sending bile fluid for cytology increases the sensitivity of biliary brushings during ERCP. Dilation before brushing or alternative brush designs did not increase sensitivity.
Topics: Humans; Cholangiopancreatography, Endoscopic Retrograde; Sensitivity and Specificity; Bile Duct Neoplasms; Cytodiagnosis; Bile Ducts
PubMed: 38944859
DOI: 10.15403/jgld-5376 -
Archives of Gerontology and Geriatrics Jun 2024There is growing interest in the association of CT-assessed sarcopenia with adverse outcomes in non-oncological settings.
BACKGROUND
There is growing interest in the association of CT-assessed sarcopenia with adverse outcomes in non-oncological settings.
PURPOSE
The aim of this systematic review is to summarize existing literature on the prognostic implications of CT-assessed sarcopenia in non-oncological patients.
MATERIALS AND METHODS
Three independent authors searched Medline/PubMed, Embase and Cochrane Library up to 30 December 2023 for observational studies that reported the presence of sarcopenia defined on CT head and neck in association with mortality estimates and other adverse outcomes, in non-oncological patients. The quality of included studies were assessed using the Quality of Prognostic Studies tool.
RESULTS
Overall, 15 studies (3829 participants) were included. Nine studies were at low risk of bias, and six were at moderate risk of bias. Patient populations included those admitted for trauma or treatment of intracranial aneurysms, ischemic stroke, transient ischemic attack, and intracranial stenosis. Sarcopenia was associated with increased 30-day to 2-year mortality in inpatients and patients undergoing carotid endarterectomy or mechanical thrombectomy for acute ischemic stroke. Sarcopenia was also associated with poorer neurological and functional outcomes, increased likelihood of admission to long-term care facilities, and longer duration of hospital stays. The observed associations of sarcopenia with adverse outcomes remained similar across different imaging modalities and methods for quantifying sarcopenia.
CONCLUSION
CT-assessed sarcopenia was associated with increased mortality and poorer outcomes across diverse patient populations. Measurement and early identification of sarcopenia in vulnerable patients allows for enhanced prognostication, and focused allocation of resources to mitigate adverse outcomes.
PubMed: 38944005
DOI: 10.1016/j.archger.2024.105549 -
Reproductive Biomedicine Online Feb 2024In 15-30% of couples with infertility, no abnormalities are found after the initial diagnostic work-up. The aim of this study was to investigate the prevalence of... (Review)
Review
In 15-30% of couples with infertility, no abnormalities are found after the initial diagnostic work-up. The aim of this study was to investigate the prevalence of endometriosis in patients with unexplained infertility undergoing diagnostic laparoscopy in the current era of improved imaging and assisted reproductive technology. A systematic search of PubMed, Embase and Cochrane Central was conducted to identify all studies reporting on pelvic pathologies found by laparoscopy in couples diagnosed with unexplained infertility. Normal ovulatory cycles, normal semen analysis and an infertility period of ≥12 months were the minimum requirements for a study population to be included. The prevalence of endometriosis was 44%, and most lesions were classified as minimal or mild (74%). The prevalence rates of tubal factors and adhesions were 20% and 16%, respectively. The detection rate for pelvic abnormalities was higher in women with prior fertility treatment (75%) compared with women without prior fertility treatment (53%). Despite the significant improvements in imaging for the diagnosis of endometriosis and tubal factors over the last decades, the prevalence rates of endometriosis and tubal abnormalities remain high in patients with unexplained infertility. The high prevalence of endometriosis in this population is important for decision-making in patients who also suffer from pain symptoms suggestive of endometriosis.
PubMed: 38943813
DOI: 10.1016/j.rbmo.2024.103848 -
Otolaryngology--head and Neck Surgery :... Jun 2024To assess the diagnostic accuracy of fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography (FDG-PET/CT) in detecting second primary... (Review)
Review
OBJECTIVE
To assess the diagnostic accuracy of fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography (FDG-PET/CT) in detecting second primary malignancies (SPMs) in patients with treatment naïve head and neck squamous cell carcinoma (HNSCC).
DATA SOURCES
Medline, Embase, Cochrane Library, and Scopus searched from 1946 to December 2022.
REVIEW METHODS
Studies reporting the performance of FDG-PET/CT in patients with treatment-naïve, index HNSCC for detection of SPMs were included. The reference standard was histopathology, clinical follow-up over the duration of study, and other imaging modalities. Multiple investigators completed depth full-text analysis. Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines were followed. Methodologic and diagnostic accuracy data were abstracted independently by multiple investigators. Risk of bias assessment was conducted using the Quality Assessment of Diagnostic Accuracy Studies tool independently. Bivariate random-effects model meta-analysis and multivariable meta-regression modeling were used.
RESULTS
Seventeen studies examining 4624 patients with a total of 475 SPMs were included in the final analysis. Eleven studies were found to be at low risk for bias, while the rest were in the high-risk category. FDG-PET/CT demonstrated pooled sensitivity and specificity of 0.73 (95% confidence interval [CI]: 0.49-0.88) and 0.99 (95% CI: 0.98-1.00) in detecting SPMs. Further subsite analysis revealed varied diagnostic performance across different anatomical regions, with sensitivity and specificity of esophageal SPMs being 0.47 (0.30-0.64) and 0.99 (0.98-1.00), and sensitivity and specificity of 0.86 (0.73-0.94) and 0.99 (0.98-1.00) for head and neck SPMs. Finally, this imaging modality showed sensitivity and specificity of 0.92 (0.84-0.96) and 0.99 (0.98-1.00) for lung SPMs.
CONCLUSION
The findings of this study suggest varied accuracy of FDG-PET/CT in detecting SPMs during initial workup for HNSCC, highlighting the importance of screening modalities such as esophagoscopy in high-risk patients.
PubMed: 38943453
DOI: 10.1002/ohn.879 -
GeroScience Jun 2024A growing body of research suggested that there was a link between poor periodontal health and systemic diseases, particularly with the early development of cognitive... (Review)
Review
A growing body of research suggested that there was a link between poor periodontal health and systemic diseases, particularly with the early development of cognitive disorders, dementia, and depression. This is especially true in cases of changes in diet, malnutrition, loss of muscular endurance, and abnormal systemic inflammatory response. Our study aimed to determine the extent of these associations to better target the multi-level healthy aging challenge investigating the impact of periodontal disease on cognitive disorders (cognitive impairment and cognitive decline), dementia, and depression. We conducted a comprehensive literature search up to November 2023 using six different electronic databases. Two independent researchers assessed the eligibility of 7363 records against the inclusion criteria and found only 46 records that met the requirements. The study is registered on PROSPERO (CRD42023485688). We generated random effects pooled estimates and 95% confidence intervals (CI) to evaluate whether periodontal disease increased the risk of the investigated outcomes. The quality assessment revealed moderate quality of evidence and risk of bias. Periodontal disease was found to be associated with both cognitive disorders (relative risk (RR) 1.25, 95% CI 1.11-1.40, in the analysis of cross-sectional studies); cognitive impairment (RR 3.01, 95% CI 1.52-5.95 for longitudinal studies, cognitive decline); and dementia (RR 1.22, 95% CI 1.10-1.36). However, no significant increased risk of depression among subjects with periodontal disease was found (RR 1.07, 95% CI 0.95-1.21). Despite the association with two of the three explored outcomes, the available evidence on periodontal diseases and dementia, cognitive disorders, and depression is controversial due to several limitations. Therefore, further investigations involving validated and standardized tools are required.
PubMed: 38943006
DOI: 10.1007/s11357-024-01243-8 -
Clinical Radiology Jun 2024A number of studies have reported that contrast-enhanced ultrasound (CEUS) imaging might be used for the early diagnosis of adnexal masses. A meta-analysis was performed...
Diagnostic performance of contrast-enhanced ultrasound (CEUS) combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses: a systematic review and meta-analysis.
AIM
A number of studies have reported that contrast-enhanced ultrasound (CEUS) imaging might be used for the early diagnosis of adnexal masses. A meta-analysis was performed to evaluate the diagnostic accuracy of CEUS combined with Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification for adnexal masses.
MATERIALS AND METHODS
Related articles were retrieved from PubMed, Web of Science, Embase, and the Cochrane Library in strict accordance with established standards, and data (including true positive, false positive, false negative, and true negative values) was extracted from the original articles. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate the quality of articles and the possibility of bias. STATA 12.0 software was used to perform statistical analysis.
RESULTS
Five articles that included 598 patients were analyzed in this meta-analysis. The pooled sensitivity and specificity of CEUS combined with O-RADS for the diagnosis of adnexal masses were 0.95 (95% confidence interval [CI]: 0.91-0.98) and 0.86 (95% CI: 0.79-0.91). Moreover, the positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and area under the curve (AUC) were 6.81 (95% CI: 4.61-10.08), 0.05 (95% CI: 0.03-0.11), 111.30 (95% CI: 65.32-189.65), and 0.97 (95% CI: 0.95-0.98), respectively. The pooled AUC and DOR for the detection of CEUS combined with O-RADS were superior to O-RADS US.
CONCLUSION
Our findings revealed that O-RADS combined with CEUS can improve the diagnostic accuracy of ovarian adnexal masses.
PubMed: 38942707
DOI: 10.1016/j.crad.2024.05.021 -
Korean Journal of Radiology Jul 2024This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the... (Meta-Analysis)
Meta-Analysis Review
This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the correlation of apparent diffusion coefficient (ADC) with hormone receptor status and prognostic biomarkers. Our meta-analysis includes data from 52 studies examining ADC values in relation to estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. The results indicated significant differences in ADC values among different receptor statuses, with ER-positive, PgR-positive, HER2-negative, and Ki-67-positive tumors having lower ADC values compared to their negative counterparts. This study also highlights the potential of advanced DWI techniques such as intravoxel incoherent motion and non-Gaussian DWI to provide additional insights beyond ADC. Despite these promising findings, the high heterogeneity among the studies underscores the need for standardized DWI protocols to improve their clinical utility in breast cancer management.
Topics: Humans; Breast Neoplasms; Diffusion Magnetic Resonance Imaging; Female; Biomarkers, Tumor; Prognosis; Receptor, ErbB-2; Receptors, Estrogen; Receptors, Progesterone; Ki-67 Antigen
PubMed: 38942456
DOI: 10.3348/kjr.2023.1188 -
Renal Failure Dec 2024Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging... (Meta-Analysis)
Meta-Analysis Review
RATIONALE AND OBJECTIVES
Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. However, the value of these diagnostic methods in the noninvasive diagnosis of RF remains contentious. Consequently, the present study aimed to systematically delineate the accuracy of the noninvasive diagnosis of RF.
MATERIALS AND METHODS
A systematic search covering PubMed, Embase, Cochrane Library, and Web of Science databases for all data available up to 28 July 2023 was conducted for eligible studies.
RESULTS
We included 21 studies covering 4885 participants. Among them, nine studies utilized US as a noninvasive diagnostic method, eight studies used MRI, and four articles employed radiomics. The sensitivity and specificity of US for detecting RF were 0.81 (95% CI: 0.76-0.86) and 0.79 (95% CI: 0.72-0.84). The sensitivity and specificity of MRI were 0.77 (95% CI: 0.70-0.83) and 0.92 (95% CI: 0.85-0.96). The sensitivity and specificity of radiomics were 0.69 (95% CI: 0.59-0.77) and 0.78 (95% CI: 0.68-0.85).
CONCLUSIONS
The current early noninvasive diagnostic methods for RF include US, MRI, and radiomics. However, this study demonstrates that US has a higher sensitivity for the detection of RF compared to MRI. Compared to US, radiomics studies based on US did not show superior advantages. Therefore, challenges still exist in the current radiomics approaches for diagnosing RF, and further exploration of optimized artificial intelligence (AI) algorithms and technologies is needed.
Topics: Humans; Renal Insufficiency, Chronic; Fibrosis; Magnetic Resonance Imaging; Ultrasonography; Sensitivity and Specificity; Kidney
PubMed: 38938187
DOI: 10.1080/0886022X.2024.2367021 -
AJNR. American Journal of Neuroradiology Jun 2024Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for glioma...
BACKGROUND
Visually Accessible Rembrandt (Repository for Molecular Brain Neoplasia Data) Images (VASARI) features, a vocabulary to establish reproducible terminology for glioma reporting, have been applied for a decade, but a systematic performance evaluation is lacking.
PURPOSE
Our aim was to conduct a systematic review and meta-analysis of the performance of the VASARI features set for glioma assessment.
DATA SOURCES
MEDLINE, Web of Science, EMBASE, and the Cochrane Library were systematically searched until September 26, 2023.
STUDY SELECTION
Original articles predicting diagnosis, progression, and survival in patients with glioma were included.
DATA ANALYSIS
The modified Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was applied to evaluate the risk-of-bias. The meta-analysis used a random effects model and forest plot visualizations, if ≥5 comparable studies with a low or medium risk of bias were provided.
DATA SYNTHESIS
Thirty-five studies (3304 patients) were included. Risk-of-bias scores were medium ( = 33) and low ( = 2). Recurring objectives were overall survival ( = 18) and isocitrate dehydrogenase mutation (; = 12) prediction. Progression-free survival was examined in 7 studies. In 4 studies (glioblastoma = 2, grade 2/3 glioma = 1, grade 3 glioma = 1), a significant association was found between progression-free survival and single VASARI features. The single features predicting overall survival with the highest pooled hazard ratios were multifocality (hazard ratio = 1.80; 95%-CI, 1.21-2.67; I = 53%), ependymal invasion (hazard ratio = 1.73; 95% CI, 1.45-2.05; I = 0%), and enhancing tumor crossing the midline (hazard ratio = 2.08; 95% CI, 1.35-3.18; I = 52%). mutation-predicting models combining VASARI features rendered a pooled area under the receiver operating characteristic curve of 0.82 (95% CI, 0.76-0.88) at considerable heterogeneity (I = 100%). Combined input models using VASARI plus clinical and/or radiomics features outperformed single data-type models in all relevant studies ( = 17).
LIMITATIONS
Studies were heterogeneously designed and often with a small sample size. Several studies used The Cancer Imaging Archive database, with likely overlapping cohorts. The meta-analysis for was limited due to a high study heterogeneity.
CONCLUSIONS
Some VASARI features perform well in predicting overall survival and mutation status, but combined models outperform single features. More studies with less heterogeneity are needed to increase the evidence level.
PubMed: 38937115
DOI: 10.3174/ajnr.A8274 -
International Journal of Surgery... Jun 2024Colorectal cancer (CRC) stands as the third most prevalent cancer globally, projecting 3.2 million new cases and 1.6 million deaths by 2040. Accurate lymph node... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Colorectal cancer (CRC) stands as the third most prevalent cancer globally, projecting 3.2 million new cases and 1.6 million deaths by 2040. Accurate lymph node metastasis (LNM) detection is critical for determining optimal surgical approaches, including preoperative neoadjuvant chemoradiotherapy and surgery, which significantly influence CRC prognosis. However, conventional imaging lacks adequate precision, prompting exploration into radiomics, which addresses this shortfall by converting medical images into reproducible, quantitative data.
METHODS
Following PRISMA, Supplemental Digital Content 1 (http://links.lww.com/JS9/C77) and Supplemental Digital Content 2 (http://links.lww.com/JS9/C78), and AMSTAR-2 guidelines, Supplemental Digital Content 3 (http://links.lww.com/JS9/C79), we systematically searched PubMed, Web of Science, Embase, Cochrane Library, and Google Scholar databases until 11 January 2024, to evaluate radiomics models' diagnostic precision in predicting preoperative LNM in CRC patients. The quality and bias risk of the included studies were assessed using the Radiomics Quality Score (RQS) and the modified Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Subsequently, statistical analyses were conducted.
RESULTS
Thirty-six studies encompassing 8039 patients were included, with a significant concentration in 2022-2023 (20/36). Radiomics models predicting LNM demonstrated a pooled area under the curve (AUC) of 0.814 (95% CI: 0.78-0.85), featuring sensitivity and specificity of 0.77 (95% CI: 0.69, 0.84) and 0.73 (95% CI: 0.67, 0.78), respectively. Subgroup analyses revealed similar AUCs for CT and MRI-based models, and rectal cancer models outperformed colon and colorectal cancers. Additionally, studies utilizing cross-validation, 2D segmentation, internal validation, manual segmentation, prospective design, and single-center populations tended to have higher AUCs. However, these differences were not statistically significant. Radiologists collectively achieved a pooled AUC of 0.659 (95% CI: 0.627, 0.691), significantly differing from the performance of radiomics models (P<0.001).
CONCLUSION
Artificial intelligence-based radiomics shows promise in preoperative lymph node staging for CRC, exhibiting significant predictive performance. These findings support the integration of radiomics into clinical practice to enhance preoperative strategies in CRC management.
Topics: Humans; Colorectal Neoplasms; Lymphatic Metastasis; Lymph Nodes; Radiomics
PubMed: 38935817
DOI: 10.1097/JS9.0000000000001239