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Veterinary Pathology Mar 2024One of the most relevant prognostic indices for tumors is cellular proliferation, which is most commonly measured by the mitotic activity in routine tumor sections. The...
One of the most relevant prognostic indices for tumors is cellular proliferation, which is most commonly measured by the mitotic activity in routine tumor sections. The goal of this systematic review was to analyze the methods and prognostic relevance of histologically measuring mitotic activity that have been reported for canine tumors in the literature. A total of 137 articles that correlated the mitotic activity in canine tumors with patient outcome were identified through a systematic (PubMed and Scopus) and nonsystematic (Google Scholar) literature search and eligibility screening process. Mitotic activity methods encompassed the mitotic count (MC, number of mitotic figures per tumor area) in 126 studies, presumably the MC (method not specified) in 6 studies, and the mitotic index (MI, number of mitotic figures per number of tumor cells) in 5 studies. A particularly high risk of bias was identified based on the available details of the MC methods and statistical analyses, which often did not quantify the prognostic discriminative ability of the MC and only reported values. A significant association of the MC with survival was found in 72 of 109 (66%) studies. However, survival was evaluated by at least 3 studies in only 7 tumor types/groups, of which a prognostic relevance is apparent for mast cell tumors of the skin, cutaneous melanoma, and soft tissue tumor of the skin and subcutis. None of the studies using the MI found a prognostic relevance. This review highlights the need for more studies with standardized methods and appropriate analysis of the discriminative ability to prove the prognostic value of the MC and MI in various tumor types. Future studies are needed to evaluate the influence of the performance of individual pathologists on the appropriateness of prognostic thresholds and investigate methods to improve interobserver reproducibility.
PubMed: 38533804
DOI: 10.1177/03009858241239565 -
Hepatology Communications Apr 2024The precision of clinical criteria and the utility of liver biopsy for diagnosis or prognosis remain unclear in patients with alcohol-associated hepatitis (AH). We... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The precision of clinical criteria and the utility of liver biopsy for diagnosis or prognosis remain unclear in patients with alcohol-associated hepatitis (AH). We systematically reviewed the literature to answer these questions.
METHODS
Four databases were searched for studies describing the precision of clinical criteria (National Institute on Alcohol Abuse and Alcoholism, European Association for Study of Liver, or classical) and the role of histology in AH. The precision(positive predictive value) of criteria was pooled through random-effects meta-analysis, and its variation was investigated through subgroups and meta-regression of study-level factors with their percent contribution to variation (R2). The risk of bias among studies was evaluated through the QUADAS2 tool (PROSPERO-ID-CRD4203457250).
RESULTS
Of 4320 studies, 18 in the systematic review and 15 (10/5: low/high risk of bias, N=1639) were included in the meta-analysis. The pooled precision of clinical criteria was 80.2% (95% CI: 69.7-89.7, I2:93%, p < 0.01), higher in studies with severe AH (mean-Model for End-Stage Liver Disease > 20) versus moderate AH (mean-Model for End-Stage Liver Disease < 20): 92% versus 67.1%, p < 0.01, and in studies with serum bilirubin cutoff 5 versus 3 mg/dL (88.5% vs.78.8%, p = 0.01). The factors contributing to variation in precision were Model for End-Stage Liver Disease (R2:72.7%), upper gastrointestinal bleed (R2:56.3%), aspartate aminotransferase:aspartate aminotransferase ratio (R2:100%), clinical criteria (R2:40.9%), bilirubin (R2:22.5%), and Mallory body on histology (R2:19.1%).The net inter-pathologist agreement for histologic findings of AH was variable (0.33-0.97), best among 2 studies describing AH through simple and uniform criteria, including steatosis, ballooning, and neutrophilic inflammation. Few studies reported the utility of histology in estimating steroid responsiveness (N = 1) and patient prognosis (N = 4); however, very broad septa, pericellular fibrosis, and cholestasis were associated with mortality. Bilirubinostasis was associated with infection in 1 study.
CONCLUSIONS
Clinical criteria are reasonably precise for diagnosing severe AH, while there is an unmet need for better criteria for diagnosing moderate AH. Histologic diagnosis of AH should be simple and uniform.
Topics: Humans; End Stage Liver Disease; Severity of Illness Index; Hepatitis, Alcoholic; Aspartate Aminotransferases; Bilirubin
PubMed: 38497934
DOI: 10.1097/HC9.0000000000000404 -
International Journal of Molecular... Feb 2024Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic disorder characterized by the progressive fibro-fatty replacement of the right ventricular... (Review)
Review
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic disorder characterized by the progressive fibro-fatty replacement of the right ventricular myocardium, leading to myocardial atrophy. Although the structural changes usually affect the right ventricle, the pathology may also manifest with either isolated left ventricular myocardium or biventricular involvement. As ARVC shows an autosomal dominant pattern of inheritance with variable penetrance, the clinical presentation of the disease is highly heterogeneous, with different degrees of severity and patterns of myocardial involvement even in patients of the same familiar group with the same gene mutation: the pathology spectrum ranges from the absence of symptoms to sudden cardiac death (SCD) sustained by ventricular arrhythmias, which may, in some cases, be the first manifestation of an otherwise silent pathology. An evidence-based systematic review of the literature was conducted to evaluate the state of the art of the diagnostic techniques for the correct post-mortem identification of ARVC. The research was performed using the electronic databases PubMed and Scopus. A methodological approach to reach a correct post-mortem diagnosis of ARVC was described, analyzing the main post-mortem peculiar macroscopic, microscopic and radiological alterations. In addition, the importance of performing post-mortem genetic tests has been underlined, which may lead to the correct identification and characterization of the disease, especially in those ARVC forms where anatomopathological investigation does not show evident morphostructural damage. Furthermore, the usefulness of genetic testing is not exclusively limited to the correct diagnosis of the pathology, but is essential for promoting targeted screening programs to the deceased's family members. Nowadays, the post-mortem diagnosis of ARVC performed by forensic pathologist remains very challenging: therefore, the identification of a clear methodological approach may lead to both a reduction in under-diagnoses and to the improvement of knowledge on the disease.
Topics: Humans; Arrhythmogenic Right Ventricular Dysplasia; Autopsy; Myocardium; Databases, Factual; Death, Sudden, Cardiac
PubMed: 38473714
DOI: 10.3390/ijms25052467 -
The Annals of Otology, Rhinology, and... Jun 2024Tongue-tie, which is also known as ankyloglossia, is a common condition where the lingual frenulum is unusually tight or short. While most literature investigates the... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
Tongue-tie, which is also known as ankyloglossia, is a common condition where the lingual frenulum is unusually tight or short. While most literature investigates the impact of tongue-tie on breastfeeding, recent articles have examined its role in speech production in children. However, these have not previously been reviewed systematically. This study aims to determine the impact of tongue-tie on speech outcomes and assess whether frenectomy can improve speech function.
METHODS
In this systematic review, we conducted a comprehensive search of PubMed/MEDLINE, Cochrane Library, Embase, and speechBITE to analyze primary studies investigating the impact of frenectomy for tongue-tie on speech outcomes. We extracted data regarding patient age, male to female ratio, procedure type, follow-up time, and speech outcomes and ran statistical analyses to determine if frenectomy for tongue-tie leads to improvement in speech issues in pediatric patients. Speech outcomes extracted were subjectively measured based on the interpretation of a speech and language pathologist or parent.
RESULTS
Our analysis included 10 studies with an average patient age of 4.10 years, and average cohort size of 22.17 patients. Overall, frenectomy for tongue-tie was associated with an improvement in speech articulation (0.78; 95% CI: 0.64-0.87; < .01). Increasing patient age was found to be negatively correlated with post-frenectomy speech outcomes ( = .01). However, this relationship disappeared in the adjusted model.
CONCLUSION
Overall, we conclude that frenectomy is a suitable treatment to correct speech issues in select patients with tongue-tie if caught early in childhood. Despite the limited investigations around speech outcomes post-frenectomy, these results are informative to providers treating tongue-tie.
Topics: Humans; Ankyloglossia; Lingual Frenum; Speech Disorders; Treatment Outcome; Child
PubMed: 38444142
DOI: 10.1177/00034894241236234 -
PeerJ. Computer Science 2024Blood diseases such as leukemia, anemia, lymphoma, and thalassemia are hematological disorders that relate to abnormalities in the morphology and concentration of blood...
BACKGROUND
Blood diseases such as leukemia, anemia, lymphoma, and thalassemia are hematological disorders that relate to abnormalities in the morphology and concentration of blood elements, specifically white blood cells (WBC) and red blood cells (RBC). Accurate and efficient diagnosis of these conditions significantly depends on the expertise of hematologists and pathologists. To assist the pathologist in the diagnostic process, there has been growing interest in utilizing computer-aided diagnostic (CAD) techniques, particularly those using medical image processing and machine learning algorithms. Previous surveys in this domain have been narrowly focused, often only addressing specific areas like segmentation or classification but lacking a holistic view like segmentation, classification, feature extraction, dataset utilization, evaluation matrices, .
METHODOLOGY
This survey aims to provide a comprehensive and systematic review of existing literature and research work in the field of blood image analysis using deep learning techniques. It particularly focuses on medical image processing techniques and deep learning algorithms that excel in the morphological characterization of WBCs and RBCs. The review is structured to cover four main areas: segmentation techniques, classification methodologies, descriptive feature selection, evaluation parameters, and dataset selection for the analysis of WBCs and RBCs.
RESULTS
Our analysis reveals several interesting trends and preferences among researchers. Regarding dataset selection, approximately 50% of research related to WBC segmentation and 60% for RBC segmentation opted for manually obtaining images rather than using a predefined dataset. When it comes to classification, 45% of the previous work on WBCs chose the ALL-IDB dataset, while a significant 73% of researchers focused on RBC classification decided to manually obtain images from medical institutions instead of utilizing predefined datasets. In terms of feature selection for classification, morphological features were the most popular, being chosen in 55% and 80% of studies related to WBC and RBC classification, respectively.
CONCLUSION
The diagnostic accuracy for blood-related diseases like leukemia, anemia, lymphoma, and thalassemia can be significantly enhanced through the effective use of CAD techniques, which have evolved considerably in recent years. This survey provides a broad and in-depth review of the techniques being employed, from image segmentation to classification, feature selection, utilization of evaluation matrices, and dataset selection. The inconsistency in dataset selection suggests a need for standardized, high-quality datasets to strengthen the diagnostic capabilities of these techniques further. Additionally, the popularity of morphological features indicates that future research could further explore and innovate in this direction.
PubMed: 38435563
DOI: 10.7717/peerj-cs.1813 -
Frontiers in Oncology 2024The risk that a large polyp (≥10 mm) evolves into high-grade dysplasia (HGD) is relatively high compared with that of a small/diminutive polyp (<10 mm). Recently, the...
INTRODUCTION
The risk that a large polyp (≥10 mm) evolves into high-grade dysplasia (HGD) is relatively high compared with that of a small/diminutive polyp (<10 mm). Recently, the detection of small and diminutive polyps has been substantially improved with the advancement of endoscopy. However, further research is needed on the role of the incidence of HGD caused by the co-occurrence of small and diminutive polyps in the progression of HGD. In this study, we aim to investigate whether and how the small and diminutive polyps correlate with the incidence of HGD in the population.
METHODS
The pooled data were deeply analyzed from four published randomized controlled trials (RCTs) regarding colon polyp detection. All polyps detected were examined and confirmed by pathologists. The primary outcome was the composition ratio of the HGD polyps in each polyp size category.
RESULTS
Among a total of 3,179 patients with 2,730 polyps identified, there were 83 HGD polyps confirmed, and 68 patients had at least one polyp with HGD. The risk of development of HGD was lower for a single small and diminutive polyp than for one large polyp (2.18% vs. 22.22%, < 0.0001). On the contrary, the composition ratio for HGD from small and diminutive polyps was significantly higher than that from the large ones (68.67% vs. 31.33%, < 0.0001). The combined number of HGD presented a trend negatively correlated to size.
CONCLUSIONS
Our data demonstrated that the absolute number of HGD significantly derives more from small and diminutive polyps than from the large ones, and the collective number of small and diminutive polyps per patient is indicative of his/her HGD exposure. These findings positively provide novel perspectives on the management of polyps and may further optimize the prevention of colorectal cancer.
SYSTEMATIC REVIEW REGISTRATION
http://www.chictr.org.cn, identifier ChiCTR1900025235, ChiCTR1800017675, ChiCTR1800018058, and ChiCTR1900023086.
PubMed: 38410098
DOI: 10.3389/fonc.2024.1294745 -
Diagnostics (Basel, Switzerland) Feb 2024Digital pathology (DP) has begun to play a key role in the evaluation of liver specimens. Recent studies have shown that a workflow that combines DP and artificial... (Review)
Review
Digital pathology (DP) has begun to play a key role in the evaluation of liver specimens. Recent studies have shown that a workflow that combines DP and artificial intelligence (AI) applied to histopathology has potential value in supporting the diagnosis, treatment evaluation, and prognosis prediction of liver diseases. Here, we provide a systematic review of the use of this workflow in the field of hepatology. Based on the PRISMA 2020 criteria, a search of the PubMed, SCOPUS, and Embase electronic databases was conducted, applying inclusion/exclusion filters. The articles were evaluated by two independent reviewers, who extracted the specifications and objectives of each study, the AI tools used, and the results obtained. From the 266 initial records identified, 25 eligible studies were selected, mainly conducted on human liver tissues. Most of the studies were performed using whole-slide imaging systems for imaging acquisition and applying different machine learning and deep learning methods for image pre-processing, segmentation, feature extractions, and classification. Of note, most of the studies selected demonstrated good performance as classifiers of liver histological images compared to pathologist annotations. Promising results to date bode well for the not-too-distant inclusion of these techniques in clinical practice.
PubMed: 38396427
DOI: 10.3390/diagnostics14040388 -
Toxics Feb 2024Documented cases of sodium nitrite toxicity are almost exclusively caused by accidental ingestion; however, self-poisoning with sodium nitrite represents an increasing... (Review)
Review
Documented cases of sodium nitrite toxicity are almost exclusively caused by accidental ingestion; however, self-poisoning with sodium nitrite represents an increasing trend in nitrate-related deaths. This systematic review summarizes the most crucial evidence regarding the fatal toxicity of sodium nitrite. It identifies gaps and differences in the diagnostic forensic approaches and the detection methods of sodium nitrite intoxication. A total of eleven research articles were selected for qualitative and quantitative data. Most of the studies (6/11) were case reports. Fifty-three cases of fatal intoxication with sodium nitrite were chosen for the review. More research is required to develop cost-effective techniques and uniform cutoffs for blood nitrite and nitrate levels in the event of deadly sodium nitrite poisoning. There is still a lack of critical information on other matrices and the impact of time since death on toxicological results in such situations. The available evidence provides useful recommendations for forensic pathologists and health practitioners engaged in instances of sodium nitrite poisoning or death. The data should also set off alarm bells in the public health system, in prosecutor's offices, and for policymakers so that they may undertake preventative measures to stop and restrict the unregulated market for these substances.
PubMed: 38393219
DOI: 10.3390/toxics12020124 -
Archives of Pathology & Laboratory... Jun 2024In 2014, the College of American Pathologists developed an evidence-based guideline to address analytic validation of immunohistochemical assays. Fourteen...
CONTEXT.—
In 2014, the College of American Pathologists developed an evidence-based guideline to address analytic validation of immunohistochemical assays. Fourteen recommendations were offered. Per the National Academy of Medicine standards for developing trustworthy guidelines, guidelines should be updated when new evidence suggests modifications.
OBJECTIVE.—
To assess evidence published since the release of the original guideline and develop updated evidence-based recommendations.
DESIGN.—
The College of American Pathologists convened an expert panel to perform a systematic review of the literature and update the original guideline recommendations using the Grading of Recommendations Assessment, Development and Evaluation approach.
RESULTS.—
Two strong recommendations, 1 conditional recommendation, and 12 good practice statements are offered in this updated guideline. They address analytic validation or verification of predictive and nonpredictive assays, and recommended revalidation procedures following changes in assay conditions.
CONCLUSIONS.—
While many of the original guideline statements remain similar, new recommendations address analytic validation of assays with distinct scoring systems, such as programmed death receptor-1 and analytic verification of US Food and Drug Administration approved/cleared assays; more specific guidance is offered for validating immunohistochemistry performed on cytology specimens.
Topics: Humans; Immunohistochemistry; Reproducibility of Results; United States; Evidence-Based Medicine; Practice Guidelines as Topic; Pathology, Clinical
PubMed: 38391878
DOI: 10.5858/arpa.2023-0483-CP -
American Journal of Clinical Pathology Jun 2024The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging...
OBJECTIVES
The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging (WSI) and artificial intelligence (AI) have both gained approval for primary diagnosis in prostate pathology, providing physicians with novel tools for their daily routine.
METHODS
A systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was carried out in electronic databases to gather the available evidence on the application of AI-based algorithms to prostate cancer.
RESULTS
Of 6290 articles, 80 were included, mostly (59%) dealing with biopsy specimens. Glass slides were digitized to WSI in most studies (89%), roughly two-thirds of which (66%) exploited convolutional neural networks for computational analysis. The algorithms achieved good to excellent results about cancer detection and grading, along with significantly reduced TATs. Furthermore, several studies showed a relevant correlation between AI-identified histologic features and prognostic predictive variables such as biochemical recurrence, extraprostatic extension, perineural invasion, and disease-free survival.
CONCLUSIONS
The published evidence suggests that AI can be reliably used for prostate cancer detection and grading, assisting pathologists in the time-consuming screening of slides. Further technologic improvement would help widening AI's adoption in prostate pathology, as well as expanding its prognostic predictive potential.
Topics: Humans; Prostatic Neoplasms; Male; Artificial Intelligence; Algorithms
PubMed: 38381582
DOI: 10.1093/ajcp/aqad182