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Journal of Cachexia, Sarcopenia and... Oct 2023Automated computed tomography (CT) scan segmentation (labelling of pixels according to tissue type) is now possible. This technique is being adapted to achieve... (Review)
Review
Automated computed tomography (CT) scan segmentation (labelling of pixels according to tissue type) is now possible. This technique is being adapted to achieve three-dimensional (3D) segmentation of CT scans, opposed to single L3-slice alone. This systematic review evaluates feasibility and accuracy of automated segmentation of 3D CT scans for volumetric body composition (BC) analysis, as well as current limitations and pitfalls clinicians and researchers should be aware of. OVID Medline, Embase and grey literature databases up to October 2021 were searched. Original studies investigating automated skeletal muscle, visceral and subcutaneous AT segmentation from CT were included. Seven of the 92 studies met inclusion criteria. Variation existed in expertise and numbers of humans performing ground-truth segmentations used to train algorithms. There was heterogeneity in patient characteristics, pathology and CT phases that segmentation algorithms were developed upon. Reporting of anatomical CT coverage varied, with confusing terminology. Six studies covered volumetric regional slabs rather than the whole body. One study stated the use of whole-body CT, but it was not clear whether this truly meant head-to-fingertip-to-toe. Two studies used conventional computer algorithms. The latter five used deep learning (DL), an artificial intelligence technique where algorithms are similarly organized to brain neuronal pathways. Six of seven reported excellent segmentation performance (Dice similarity coefficients > 0.9 per tissue). Internal testing on unseen scans was performed for only four of seven algorithms, whilst only three were tested externally. Trained DL algorithms achieved full CT segmentation in 12 to 75 s versus 25 min for non-DL techniques. DL enables opportunistic, rapid and automated volumetric BC analysis of CT performed for clinical indications. However, most CT scans do not cover head-to-fingertip-to-toe; further research must validate using common CT regions to estimate true whole-body BC, with direct comparison to single lumbar slice. Due to successes of DL, we expect progressive numbers of algorithms to materialize in addition to the seven discussed in this paper. Researchers and clinicians in the field of BC must therefore be aware of pitfalls. High Dice similarity coefficients do not inform the degree to which BC tissues may be under- or overestimated and nor does it inform on algorithm precision. Consensus is needed to define accuracy and precision standards for ground-truth labelling. Creation of a large international, multicentre common CT dataset with BC ground-truth labels from multiple experts could be a robust solution.
PubMed: 37562946
DOI: 10.1002/jcsm.13310 -
Gastrointestinal Endoscopy May 2023Evidence is limited on the comparative diagnostic performance of tissue sampling techniques for EUS-guided fine-needle biopsy sampling of pancreatic masses. We performed... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND AND AIMS
Evidence is limited on the comparative diagnostic performance of tissue sampling techniques for EUS-guided fine-needle biopsy sampling of pancreatic masses. We performed a systematic review with network meta-analysis to compare these techniques.
METHODS
Rates of sample adequacy, blood contamination, and tissue integrity using fine-needle biopsy sampling needles were evaluated. Direct and indirect comparisons were performed among the slow-pull, dry-suction, modified wet-suction, or no-suction techniques. Results are expressed as risk ratio (RR) and 95% confidence interval (CI).
RESULTS
Overall, 9 randomized controlled trials (756 patients) were identified. On network meta-analysis, the no-suction technique was significantly inferior to the other techniques (RR, .85 [95% CI, .78-.92] vs slow pull; RR, .85 [95% CI, .78-.92] vs dry suction; RR, .83 [95% CI, .76-.90] vs modified wet suction) in terms of sample adequacy. Consequently, modified wet suction was shown to be the best technique (surface under the cumulative ranking curve score, .90), with the no-suction technique showing poorer performance in terms of sample adequacy (surface under the cumulative ranking curve score, .14). Dry suction was associated with significantly higher rates of blood contamination as compared with the slow-pull technique (RR, 1.44; 95% CI, 1.15-1.80), whereas no suction led to less blood contamination of samples in comparison with other techniques (RR, .71 [95% CI, .52-.97] vs slow pull; RR, .49 [95% CI, .36-.66] vs dry suction; RR, .57 [95% CI, .40-.81] vs modified wet suction). The modified wet-suction technique significantly outperformed dry suction in terms of tissue integrity of the sample (RR, 1.36; 95% CI, 1.06-1.75).
CONCLUSIONS
Modified wet suction seemed to provide high rates of integrity and adequate samples, albeit with high blood contamination. The no-suction technique performed significantly worse than other sampling strategies.
Topics: Humans; Pancreatic Neoplasms; Network Meta-Analysis; Endoscopic Ultrasound-Guided Fine Needle Aspiration; Suction
PubMed: 36657607
DOI: 10.1016/j.gie.2023.01.024 -
American Journal of Obstetrics &... Nov 2021This study aimed to report the spectrum of placental pathology findings in pregnancies complicated by SARS-CoV-2 infection. (Meta-Analysis)
Meta-Analysis Review
OBJECTIVE
This study aimed to report the spectrum of placental pathology findings in pregnancies complicated by SARS-CoV-2 infection.
DATA SOURCES
MEDLINE, Embase, Google Scholar, and the Web of Science databases were searched up to August 11, 2021.
STUDY ELIGIBILITY CRITERIA
Histopathologic anomalies included maternal vascular malperfusion, fetal vascular malperfusion, acute inflammatory pathology, chronic inflammatory pathology, increased perivillous fibrin, and intervillous thrombosis. Moreover, subanalyses of symptomatic women only and high-risk pregnancies were performed.
METHODS
Histopathologic analysis of the placenta included gross examination, histopathology on hematoxylin and eosin, immunohistochemistry, fluorescence in situ hybridization, quantitative reverse transcription-polymerase chain reaction on placental tissue, and transmission electron microscope. Random-effect meta-analyses were used to analyze the data.
RESULTS
A total of 56 studies (1008 pregnancies) were included. Maternal vascular malperfusion was reported in 30.7% of placentas (95% confidence interval, 20.3-42.1), whereas fetal vascular malperfusion was observed in 27.08 % of cases (95% confidence interval, 19.2-35.6). Acute and chronic inflammatory pathologies were reported in 22.68% (95% confidence interval, 16.9-29.0) and 25.65% (95% confidence interval, 18.4-33.6) of cases, respectively. Increased perivillous fibrin was observed in 32.7% (95% confidence interval, 24.1-42.0) of placentas undergoing histopathologic analysis, whereas intervillous thrombosis was observed in 14.6% of cases (95% confidence interval, 9.7-20.2). Other placental findings, including a basal plate with attached myometrial fibers, microscopic accretism, villous edema, increased circulating nucleated red blood cells, or membranes with hemorrhage, were reported in 37.5% of cases (95% confidence interval, 28.0-47.5), whereas only 17.5% of cases (95% confidence interval, 10.9-25.2) did not present any abnormal histologic findings. The subanalyses according to maternal symptoms owing to SARS-CoV-2 infection or the presence of a high-risk pregnancy showed a similar distribution of the different histopathologic anomalies to that reported in the main analysis. Moreover, the risk of placental histopathologic anomalies was higher when considering only case-control studies comparing women with SARS-CoV-2 infection with healthy controls.
CONCLUSION
In pregnant women with SARS-CoV-2 infection, a significant proportion of placentas showed histopathologic findings, suggesting placental hypoperfusion and inflammation. Future multicenter prospective blinded studies are needed to correlate these placental lesions with pregnancy outcomes.
Topics: COVID-19; Female; Humans; In Situ Hybridization, Fluorescence; Multicenter Studies as Topic; Placenta; Pregnancy; Pregnancy Complications, Infectious; Pregnancy Outcome; Prospective Studies; SARS-CoV-2
PubMed: 34425296
DOI: 10.1016/j.ajogmf.2021.100468 -
Head & Neck Aug 2022Recurrent salivary gland carcinomas (RSCs) are poorly characterized and their clinical features and treatment options have not yet been fully described. The goal of this... (Review)
Review
Recurrent salivary gland carcinomas (RSCs) are poorly characterized and their clinical features and treatment options have not yet been fully described. The goal of this study was to analyze the therapeutic strategies and oncological outcomes of RSC patients through a literature review analysis. This systematic review was performed according to the PRISMA statements. Inclusion criteria for the systematic review were based on the population, intervention, comparison, and outcomes according to (PICO) framework. Two thousand seven hundred and four records were selected and 1817 recurrences were studied. Three hundred and sixty-five patients underwent salvage surgery (20.1%) and their 5-year mortality rate, overall survival and disease-free survival were 35%, 70%, and 42%, respectively. RSCs are aggressive neoplasms with a high rate of distant metastases (28.9%). Salvage surgery can be considered in patients with limited local and/or regional recurrences, even in case of single distant relapse, appearing within the first 3 years of follow-up.
Topics: Disease-Free Survival; Humans; Neoplasm Recurrence, Local; Retrospective Studies; Salivary Gland Neoplasms; Salvage Therapy
PubMed: 35441406
DOI: 10.1002/hed.27062 -
Histopathology Sep 2023Cribriform architecture has been recognised as an independent parameter for prostate cancer outcome. Little is yet known on the added value of individual Gleason 5... (Review)
Review
Cribriform architecture has been recognised as an independent parameter for prostate cancer outcome. Little is yet known on the added value of individual Gleason 5 growth patterns. Comedonecrosis is assigned Gleason pattern 5 and can occur in both invasive and intraductal carcinoma. The aim of this study is to systematically review the literature for the prognostic value of comedonecrosis in prostate cancer. A systematic literature search of Medline, Web of Science, Cochrane library and Google scholar was performed according to the Preferred reporting items for systematic reviews and meta-analysis (PRISMA)guidelines. After identification and screening of all relevant studies published up to July 2022, 12 manuscripts were included. Clinicopathological data were extracted and the presence of comedonecrosis in either invasive, intraductal or ductal carcinoma was associated with at least one clinical outcome measure. No meta-analysis was performed. Eight of 11 studies showed that comedonecrosis was significantly associated with biochemical recurrence and two studies with metastasis or death. The only studies using metastasis-free and disease specific-free survival as an endpoint both found comedonecrosis to be an independent prognostic parameter in multivariate analysis. The studies were all retrospective and demonstrated considerable heterogeneity with regard to clinical specimen, tumour type, grade group, correction for confounding factors and endpoints. This systematic review demonstrates weak evidence for comedonecrosis to be associated with adverse prostate cancer outcome. Study heterogeneity and lack of correction for confounding factors prohibit drawing of definitive conclusions.
Topics: Male; Humans; Retrospective Studies; Prostatic Neoplasms; Prognosis; Neoplasm Grading; Carcinoma, Ductal, Breast; Breast Neoplasms
PubMed: 37195595
DOI: 10.1111/his.14945 -
AJR. American Journal of Roentgenology Jul 2023O-RADS ultrasound (US) and O-RADS MRI have been developed to standardize risk stratification of ovarian and adnexal lesions. The purpose of this study was to perform a... (Meta-Analysis)
Meta-Analysis Review
O-RADS ultrasound (US) and O-RADS MRI have been developed to standardize risk stratification of ovarian and adnexal lesions. The purpose of this study was to perform a meta-analysis evaluating the diagnostic performance of O-RADS US and O-RADS MRI for risk stratification of ovarian and adnexal lesions. We searched the Web of Science, PubMed, Cochrane Library, Embase, and Google Scholar databases from January 1, 2020, until October 31, 2022, for studies reporting on the performance of O-RADS US or O-RADS MRI in the diagnosis of malignancy of ovarian or adnexal lesions. Study quality was assessed with QUADAS-2. A hierarchic summary ROC model was used to estimate pooled sensitivity and specificity. Heterogeneity was assessed with the statistic. Metaregression analysis was performed to explore potential sources of heterogeneity. O-RADS US was compared with the International Ovarian Tumor Analysis (IOTA) simple rules and Assessment of Different Neoplasias in the Adnexa (ADNEX) model in studies providing head-to-head comparisons. Twenty-six studies comprising 9520 patients were included. O-RADS US was evaluated in 15 and O-RADS MRI in 12 studies; both systems were evaluated in one of the studies. Quality assessment revealed that risk of bias or concern about applicability most commonly related to patient selection. Pooled sensitivity and specificity of O-RADS US were 95% (95% CI, 91-97%) and 82% (95% CI, 76-87%) and of O-RADS MRI were 95% (95% CI, 92-97%) and 90% (95% CI, 84-94%). Analysis with the statistic revealed significant heterogeneity among studies of O-RADS US in both sensitivity and specificity (both < .001) and among studies of O-RADS MRI in specificity ( < .001) but not sensitivity ( = .07). In metaregression, no factor was significantly associated with sensitivity or specificity of either system (all > .05). O-RADS US showed no significant difference in sensitivity or specificity versus IOTA simple rules in four studies (sensitivity, 96% vs 93%; specificity, 76% vs 82%) or versus the ADNEX model in three studies (sensitivity, 96% vs 96%; specificity, 79% vs 78%). O-RADS US and O-RADS MRI both have high sensitivity for ovarian or adnexal malignancy. O-RADS MRI, but not O-RADS US, also has high specificity. Awareness of the diagnostic performance results regarding O-RADS US and O-RADS MRI will be helpful as these systems are increasingly implemented into clinical practice.
Topics: Female; Humans; Ovarian Neoplasms; Sensitivity and Specificity; Magnetic Resonance Imaging; Ultrasonography; Risk Assessment; Adnexal Diseases
PubMed: 36722758
DOI: 10.2214/AJR.22.28396 -
Neurosurgical Review Feb 2020Craniopharyngiomas (CPs) are rare, benign tumors derived from Rathke's pouch, known for their high recurrence rates and associated morbidity and mortality. Despite...
Craniopharyngiomas (CPs) are rare, benign tumors derived from Rathke's pouch, known for their high recurrence rates and associated morbidity and mortality. Despite significant investigation on risk factors for recurrence, a lack of consensus persists. Recent research suggests that specific histopathological and molecular characteristics are prognostic for disease progression. In this systematic review, we analyzed and consolidated key features of CPs that contribute to increased recurrence rates. This systematic review was performed in accordance with PRISMA guidelines. A search string was created with the keywords "craniopharyngioma," "histology," "histopathology," "molecular," and "recurrence." Literature was collected from 2006 to 2016 on the PubMed/Medline and Web of Science databases. The initial search resulted in 242 papers, examined with inclusion and exclusion criteria. The final review included a total of 37 studies, 36 primary studies covering a total of 1461 patients and 1 previous meta-analysis. Cystic lesions and whorl-like arrays were found to be associated with increased recurrence, while previously considered reactive gliosis and finger-shaped protrusions were not. The genetic elements found to be associated with increased risk of recurrence were Ki-67, Ep-CAM, PTTG-1, survivin, and certain RAR isotypes, as well as the glycoproteins osteonectin and chemokines CXCL12/CXCR4. The effects of VEGF, HIF-1α, and p53, despite extensive study, yielded conflicting results. Certain histopathological and molecular characteristics of CPs provide insight into their pathogenesis, likelihood of recurrence, and potential novel targets for therapy.
Topics: Craniopharyngioma; Humans; Neoplasm Recurrence, Local; Pituitary Neoplasms; Predictive Value of Tests; Prognosis; Risk Assessment
PubMed: 29666970
DOI: 10.1007/s10143-018-0978-5 -
Diagnostics (Basel, Switzerland) May 2023Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a wide range of applications in image analysis, ranging from automated segmentation to... (Review)
Review
BACKGROUND
Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a wide range of applications in image analysis, ranging from automated segmentation to diagnostic and prediction. As such, they have revolutionized healthcare, including in the liver pathology field.
OBJECTIVE
The present study aims to provide a systematic review of applications and performances provided by DNN algorithms in liver pathology throughout the Pubmed and Embase databases up to December 2022, for tumoral, metabolic and inflammatory fields.
RESULTS
42 articles were selected and fully reviewed. Each article was evaluated through the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, highlighting their risks of bias.
CONCLUSIONS
DNN-based models are well represented in the field of liver pathology, and their applications are diverse. Most studies, however, presented at least one domain with a high risk of bias according to the QUADAS-2 tool. Hence, DNN models in liver pathology present future opportunities and persistent limitations. To our knowledge, this review is the first one solely focused on DNN-based applications in liver pathology, and to evaluate their bias through the lens of the QUADAS2 tool.
PubMed: 37238283
DOI: 10.3390/diagnostics13101799 -
Frontiers in Endocrinology 2022To evaluate the diagnostic value of conventional ultrasound and elastosonography in malignant thyroid nodules by meta-analysis. (Meta-Analysis)
Meta-Analysis
PURPOSE
To evaluate the diagnostic value of conventional ultrasound and elastosonography in malignant thyroid nodules by meta-analysis.
METHODS
The literature included in the Cochrane Library, PubMed, and Embase were searched by using "elastosonography, ultrasonography, thyroid nodules" as the keywords. The clinical studies using elastosonography and conventional ultrasound to diagnose thyroid nodules were selected, and histopathology of thyroid nodules was used as reference standards. The quality evaluation and heterogeneity test were performed on the literature that met the requirements, the combined specificity and sensitivity were pooled, and a comprehensive ROC curve analysis was performed. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was utilized to evaluate the quality of each included study. Meta-DiSc version 1.4, StataSE 12 and Review Manager 5.4 were used.
RESULTS
A total of nine studies assessed 3066 thyroid nodules (2043 benign and 1023 malignant). The pooled sensitivity, specificity, PLR, NLR, and DOR of conventional ultrasound for the diagnose of malignant thyroid nodules were 0.833 (95% CI 0.809-0.855), 0.818 (95% CI 0.801-0.835), 4.85 (95% CI 4.36-5.39), 0.20 (95% CI 0.17-0.23), and 29.38 (95% CI 23.28-37.08), respectively, with an AUC of 0.9068. Also, the pooled sensitivity, specificity, PLR, NLR, and DOR of elastosonography were 0.774 (95% CI 0.741-0.804), 0.737 (95% CI 0.715-0.758), 3.14(95% CI 2.85-3.47), 0.29 (95% CI 0.25-0.34), and 9.35 (95% CI 7.63-11.46), respectively, with an AUC of 0.8801. Three studies provided data regarding the conventional ultrasound and elastosonography. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.902 (95% CI 0.870-0.928), 0.649 (95% CI 0.616-0.681), 2.72 (95% CI 2.46-3.00), 0.14 (95% CI 0.11-0.19), 25.51 (95%CI 17.11-38.03), and 0.9294.
CONCLUSION
The existing evidence shows that elastosonography cannot completely replace conventional ultrasound in the diagnosis of malignant thyroid nodules, and the combination of elastosonography and conventional ultrasound gives a better diagnostic precision.
SYSTEMATIC REVIEW REGISTRATION
www.crd.york.ac.uk, identifier PROSPERO CRD42022375808.
Topics: Humans; Thyroid Nodule; Sensitivity and Specificity; Diagnosis, Differential; Ultrasonography; ROC Curve
PubMed: 36686488
DOI: 10.3389/fendo.2022.1082881 -
The Turkish Journal of Gastroenterology... Oct 2023Convolutional neural networks are a class of deep neural networks used for different clinical purposes, including improving the detection rate of colorectal lesions.... (Meta-Analysis)
Meta-Analysis
Convolutional neural networks are a class of deep neural networks used for different clinical purposes, including improving the detection rate of colorectal lesions. This systematic review and meta-analysis aimed to assess the performance of convolutional neural network-based models in the detection or classification of colorectal polyps and colorectal cancer. A systematic search was performed in MEDLINE, SCOPUS, Web of Science, and other related databases. The performance measures of the convolutional neural network models in the detection of colorectal polyps and colorectal cancer were calculated in the 2 scenarios of the best and worst accuracy. Stata and R software were used for conducting the meta-analysis. From 3368 searched records, 24 primary studies were included. The sensitivity and specificity of convolutional neural network models in predicting colorectal polyps in worst and best scenarios ranged from 84.7% to 91.6% and from 86.0% to 93.8%, respectively. These values in predicting colorectal cancer varied between 93.2% and 94.1% and between 94.6% and 97.7%. The positive and negative likelihood ratios varied between 6.2 and 14.5 and 0.09 and 0.17 in these scenarios, respectively, in predicting colorectal polyps, and 17.1-41.2 and 0.07-0.06 in predicting colorectal polyps. The diagnostic odds ratio and accuracy measures of convolutional neural network models in predicting colorectal polyps in worst and best scenarios ranged between 36% and 162% and between 80.5% and 88.6%, respectively. These values in predicting colorectal cancer in the worst and the best scenarios varied between 239.63% and 677.47% and between 88.2% and 96.4%. The area under the receiver operating characteristic varied between 0.92 and 0.97 in the worst and the best scenarios in colorectal polyps, respectively, and between 0.98 and 0.99 in colorectal polyps prediction. Convolutional neural network-based models showed an acceptable accuracy in detecting colorectal polyps and colorectal cancer.
Topics: Humans; Colonic Polyps; Colonoscopy; Colorectal Neoplasms; Sensitivity and Specificity; Neural Networks, Computer
PubMed: 37681266
DOI: 10.5152/tjg.2023.22491