The performance of digital microscopy for primary diagnosis in human pathology: a systematic review

Araujo, André; Arboleda, Lady Paola Aristizábal; Palmier, Natália Rangel; Fonsêca, Jéssica Montenegro; Paglioni, Mariana de Pauli; Gomes-Silva, Wagner; Ribeiro, Ana Carolina Prado; Brandão, Thaís Bianca; Simonato, Luciana Estevam; Speight, Paul M.; Fonseca, Felipe Paiva; Lopes, Márcio Ajudarte; Almeida, Oslei Paes de; Vargas, Pablo Agustı́n; Troconis, Cristhian Camilo Madrid; Santos‐Silva, Alan Roger

doi:10.1007/s00428-018-02519-z

Cited by 57 publications

(73 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous systematic narrative reviews have summarised the qualitative evidence on the diagnostic reliability of WSI. [8][9][10] A systematic review of 38 validation studies between 1999 and 2015 reported an overall diagnostic concordance ranging from 63% to 100%, with a weighted mean of 92.4%. 8 That review recognised the limitation of small sample size (mean number of cases 140) with variable study design and case types.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis

et al. 2020

View full text Add to dashboard Cite

BackgroundDigital pathology (DP) has the potential to fundamentally change the way that histopathology is practised, by streamlining the workflow, increasing efficiency, improving diagnostic accuracy and facilitating the platform for implementation of artificial intelligence–based computer-assisted diagnostics. Although the barriers to wider adoption of DP have been multifactorial, limited evidence of reliability has been a significant contributor. A meta-analysis to demonstrate the combined accuracy and reliability of DP is still lacking in the literature.ObjectivesWe aimed to review the published literature on the diagnostic use of DP and to synthesise a statistically pooled evidence on safety and reliability of DP for routine diagnosis (primary and secondary) in the context of validation process.MethodsA comprehensive literature search was conducted through PubMed, Medline, EMBASE, Cochrane Library and Google Scholar for studies published between 2013 and August 2019. The search protocol identified all studies comparing DP with light microscopy (LM) reporting for diagnostic purposes, predominantly including H&E-stained slides. Random-effects meta-analysis was used to pool evidence from the studies.ResultsTwenty-five studies were deemed eligible to be included in the review which examined a total of 10 410 histology samples (average sample size 176). For overall concordance (clinical concordance), the agreement percentage was 98.3% (95% CI 97.4 to 98.9) across 24 studies. A total of 546 major discordances were reported across 25 studies. Over half (57%) of these were related to assessment of nuclear atypia, grading of dysplasia and malignancy. These were followed by challenging diagnoses (26%) and identification of small objects (16%).ConclusionThe results of this meta-analysis indicate equivalent performance of DP in comparison with LM for routine diagnosis. Furthermore, the results provide valuable information concerning the areas of diagnostic discrepancy which may warrant particular attention in the transition to DP.

show abstract

Section: Introductionmentioning

confidence: 99%

Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis

et al. 2020

View full text Add to dashboard Cite

show abstract

“…WSI offers a convenient platform for measuring histopathological features of the liver and other pathological specimens, but its implementation in the clinical practice is still in progress (16)(17)(18)(19)(20). Validation of WSI is crucial to ensure that diagnostic performance based on digitized slides is at least equivalent to that of glass slides analyzed under conventional light microscopy, as established by the College of American Pathologists-CAP (21).…”

Section: Wsi For Clinical Practice Of Liver Pathologymentioning

confidence: 99%

“…While the field of digital pathology is continuing to advance, its role in the clinical practice of pathology is still being defined. In general, there is increasing interest in using WSI for diagnostic purposes in pathology, including routine diagnosis of liver specimens (16)(17)(18)(19)(20).…”

Section: Final Remarksmentioning

confidence: 99%

Whole Slide Imaging and Its Applications to Histopathological Studies of Liver Disorders

et al. 2020

View full text Add to dashboard Cite

Histological analysis of hepatic tissue specimens is essential for evaluating the pathology of several liver disorders such as chronic liver diseases, hepatocellular carcinomas, liver steatosis, and infectious liver diseases. Manual examination of histological slides on the microscope is a classically used method to study these disorders. However, it is considered time-consuming, limited, and associated with intra-and inter-observer variability. Emerging technologies such as whole slide imaging (WSI), also termed virtual microscopy, have increasingly been used to improve the assessment of histological features with applications in both clinical and research laboratories. WSI enables the acquisition of the tissue morphology/pathology from glass slides and translates it into a digital form comparable to a conventional microscope, but with several advantages such as easy image accessibility and storage, portability, sharing, annotation, qualitative and quantitative image analysis, and use for educational purposes. WSI-generated images simultaneously provide high resolution and a wide field of observation that can cover the entire section, extending any single field of view. In this review, we summarize current knowledge on the application of WSI to histopathological analyses of liver disorders as well as to understand liver biology. We address how WSI may improve the assessment and quantification of multiple histological parameters in the liver, and help diagnose several hepatic conditions with important clinical implications. The WSI technical limitations are also discussed.

show abstract

“…Changes in subcellular tissue structure can function as valuable biomarkers that can be used to assess onset and progression of disease. The use of digital pathology data in clinical and research settings have been studied and validated by several studies [7][8][9][10][11][12][13]. Availability of tissue images can facilitate multi-institutional and national level studies with large cohorts of patients.…”

Section: Image Analysis Tasks and Machine Learningmentioning

confidence: 99%

The Emergence of Pathomics

et al. 2019

View full text Add to dashboard Cite

Purpose of Review Our goal is to provide an overview of machine learning methods and artificial intelligence in digital pathology image analysis. We also highlight novel visualization tools to interpret quantitative image-based pathomics data that is extracted from whole slide images to describe diverse phenotypic characteristics of cancer in a spectrum of tissues. Recent Findings Image analysis of tissues is based on the identification and classification of tissue, architectural elements, cells, nuclei, and other histologic features. We report emerging digital pathology image analysis applications to study several types and subtypes of cancer to complement traditional histopathologic evaluation. Summary WSIs typically contain hundreds of thousands to millions of objects within a heterogeneous histologic landscape. Therefore, Pathomics represents an incredibly powerful emerging approach to classify cellular interactions and signaling by identifying relevant spatial relationships. The quantification of the intrinsic variability of different phenotypes and behavior in cancer is useful in analyzing and predicting clinical outcomes and treatment response.

show abstract

The performance of digital microscopy for primary diagnosis in human pathology: a systematic review

Cited by 57 publications

References 65 publications

Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis

Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis

Whole Slide Imaging and Its Applications to Histopathological Studies of Liver Disorders

The Emergence of Pathomics

Contact Info

Product

Resources

About