☆ 4.4 Review

Digital pathology systems enabling quality patient care

GENES CHROMOSOMES & CANCER (2023)

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Editorial Material Oncology

Overcoming the challenges to implementation of artificial intelligence in pathology

Jorge S. Reis-Filho et al.

Summary: Pathologists worldwide are facing challenges with increasing workloads and lack of time to provide high-quality patient care. The application of AI to digital whole-slide images has the potential to provide expert pathology and affordable biomarkers. However, the adoption of AI in pathology has been slow compared to other fields. In this article, the developments in digital and computational pathology in the last 10 years are summarized, key hurdles are outlined, and a perspective for AI-supported precision oncology is provided.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2023)

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Review Medical Laboratory Technology

AI in Pathology: What could possibly go wrong?

Keisuke Nakagawa et al.

Summary: The field of medicine is experiencing rapid digital transformation as pathologists strive to digitize their work, assisted by whole-slide imaging. The introduction of AI approaches in clinical practice brings challenges such as bias in training data, data privacy concerns, and algorithm fragility. The impact of AI on pathology practitioners is still unknown, with potential benefits in reducing inefficiencies but also risks of deskilling and burnout. Understanding and addressing these issues will be crucial for the successful adoption of AI in pathology.

SEMINARS IN DIAGNOSTIC PATHOLOGY (2023)

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Article Oncology

An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer

German Corredor et al.

Summary: This study investigates whether OP-TIL, a biomarker, can separate stage I HPV-associated OPSCC patients into low-risk and high-risk groups and aid in patient selection for de-escalation clinical trials.

JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2022)

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Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer

Yifan Zhong et al.

Summary: This study developed a deep learning signature for predicting N2 metastasis and prognosis stratification in clinical stage I non-small cell lung cancer. The proposed signature achieved high predictive efficacy and was associated with genetic mutations and tumor proliferation pathways. Higher deep learning scores were predictive of poorer overall survival and recurrence-free survival.

RADIOLOGY (2022)

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Article Oncology

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Richard J. Chen et al.

Summary: Computational pathology has shown promise in developing prognostic models based on histology images. This study uses multimodal deep learning to integrate pathology images and molecular profile data, and discover prognostic features that correlate with outcomes.

CANCER CELL (2022)

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Article Biology

Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images

Jiawei Xie et al.

Summary: Intrahepatic cholangiocarcinoma (ICC) is a type of cancer originating from the liver's secondary ductal epithelium or branch. Due to a lack of early clinical symptoms and high mortality, accurately predicting survival status and providing appropriate treatment is crucial. This study aimed to develop quantitative histomorphological features to describe lymphocyte density distribution at the cell level and different components at the tissue level in ICC patients. The results showed that these features could stratify patients' survival risk.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

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Article Oncology

Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images

Naofumi Tomita et al.

Summary: A deep learning model was developed in this study to predict somatic mutations in lung adenocarcinoma patients based on histological features. The results showed that the deep learning model, using stained lung adenocarcinoma slides, could accurately predict genetic mutations, which has implications for precision medicine.

TRANSLATIONAL ONCOLOGY (2022)

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Article Oncology

Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics

Yoon Seong Choi et al.

Summary: This study developed a fully automated hybrid model using convolutional neural networks and radiomics to noninvasively predict the IDH status of gliomas. The model showed high accuracy and reproducibility across different datasets.

NEURO-ONCOLOGY (2021)

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Article Oncology

Personalized Prediction Model to Risk Stratify Patients With Myelodysplastic Syndromes

Aziz Nazha et al.

Summary: This study developed a personalized prediction model for MDS patients using machine learning techniques and incorporating clinical and genomic data, which showed superior performance in predicting survival and leukemia transformation probabilities compared to established models. The model was validated in external cohorts, demonstrating its potential for dynamic and accurate prognostic predictions at different time points in a patient's disease course.

JOURNAL OF CLINICAL ONCOLOGY (2021)

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Review Gastroenterology & Hepatology

Evolution of the liver biopsy and its future

Dhanpat Jain et al.

Summary: Liver biopsies have been commonly used for evaluating various medical disorders, but their indications have significantly changed over the past decade due to improved clinical diagnosis and non-invasive methods for evaluating liver tissue. Advances in treatments, technology, and techniques such as whole slide imaging, multiphoton microscopy, MALDI mass spectrometry, and machine learning algorithms are shaping the future of liver biopsies and their applications in clinical practice.

TRANSLATIONAL GASTROENTEROLOGY AND HEPATOLOGY (2021)

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Article Dentistry, Oral Surgery & Medicine

Comparison of the whole slide imaging and conventional light microscopy in the grading of oral epithelial dysplasia: a multi-institutional study

Priscilla Barbosa Diniz et al.

Summary: This study evaluated the variability in grading oral epithelial dysplasia using different microscopy systems and found similar results between two systems, with slightly higher inter-examiner agreement and less time consumption in the light microscopy group.

MEDICINA ORAL PATOLOGIA ORAL Y CIRUGIA BUCAL (2021)

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Review Pathology

Clinical Application of Image Analysis in Pathology

Toby C. Cornish

ADVANCES IN ANATOMIC PATHOLOGY (2020)

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Article Pathology

Four-Year Experience of Digital Slide Telepathology for Intraoperative Frozen Section Consultations in a Two-Site French Academic Department of Pathology

Astrid Laurent-Bellue et al.

AMERICAN JOURNAL OF CLINICAL PATHOLOGY (2020)

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Article Biochemical Research Methods

Diagnosing 12 prostate needle cores within an hour of biopsy via open-top light-sheet microscopy

Weisi Xie et al.

JOURNAL OF BIOMEDICAL OPTICS (2020)

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Article Radiology, Nuclear Medicine & Medical Imaging

Display evaluation for primary diagnosis using digital pathology

Emily L. Clarke et al.

JOURNAL OF MEDICAL IMAGING (2020)

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Article Gastroenterology & Hepatology

Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning

Hyun-Jong Jang et al.

WORLD JOURNAL OF GASTROENTEROLOGY (2020)

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Article Medicine, General & Internal

Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

David F. Steiner et al.

JAMA NETWORK OPEN (2020)

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Article Medicine, Research & Experimental

Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer

Rui Cao et al.

THERANOSTICS (2020)

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Article Biochemical Research Methods

Rapid pathology of lumpectomy margins with open open-top light-sheet (OTLS) microscopy

Ye Chen et al.

BIOMEDICAL OPTICS EXPRESS (2019)

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Article Medical Laboratory Technology

Practical Successes in Telepathology Experiences in Africa

Nathan D. Montgomery et al.

CLINICS IN LABORATORY MEDICINE (2018)

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Article Cell Biology

Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics

Alexi Baidoshvili et al.

HISTOPATHOLOGY (2018)

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Article Cell Biology

Full Karyotype Interphase Cell Analysis

Adi Baumgartner et al.

JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY (2018)

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Review Pathology

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

David F. Steiner et al.

AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)

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Review Engineering, Biomedical

Review of the use of telepathology for intraoperative consultation

Robin L. Dietz et al.

EXPERT REVIEW OF MEDICAL DEVICES (2018)

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Article Pathology

Diagnostic Efficiency in Digital Pathology A Comparison of Optical Versus Digital Assessment in 510 Surgical Pathology Cases

Anne M. Mills et al.

AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)

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Article Pathology

Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)

Sanjay Mukhopadhyay et al.

AMERICAN JOURNAL OF SURGICAL PATHOLOGY (2018)

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Article Pathology

Whole-slide imaging at primary pathological diagnosis: Validation of whole-slide imaging-based primary pathological diagnosis at twelve Japanese academic institutes

Kazuhiro Tabata et al.

PATHOLOGY INTERNATIONAL (2017)

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Article Cell Biology

Validation of digital pathology imaging for primary histopathological diagnosis

David R. J. Snead et al.

HISTOPATHOLOGY (2016)

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Article Urology & Nephrology

Three-Dimensional Morphology by Multiphoton Microscopy with Clearing in a Model of Cisplatin-Induced CKD

Richard Torres et al.

JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY (2016)

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Article Pathology

Digital image analysis outperforms manual biomarker assessment in breast cancer

Gustav Stalhammar et al.

MODERN PATHOLOGY (2016)

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Review Cell Biology

International Clinical Guidelines for the Adoption of Digital Pathology: A Review of Technical Aspects

Marcia Garcia-Rojo

PATHOBIOLOGY (2016)

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Article Biochemical Research Methods

Multiphoton microscopy with clearing for three dimensional histology of kidney biopsies

Eben Olson et al.

BIOMEDICAL OPTICS EXPRESS (2016)

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Article Pathology

Diagnosis of major cancer resection specimens with virtual slides: impact of a novel digital pathology workstation

Rebecca Randell et al.

HUMAN PATHOLOGY (2014)

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Article Pathology

Whole slide imaging diagnostic concordance with Light microscopy for breast needle biopsies

W. Scott Campbell et al.

HUMAN PATHOLOGY (2014)

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Article Pathology

Virtual slide telepathology with scanner systems for intraoperative frozen-section consultation

Silvia Ribback et al.

PATHOLOGY RESEARCH AND PRACTICE (2014)

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Article Cell Biology

Standardization of Gleason grading among 337 European pathologists

Lars Egevad et al.

HISTOPATHOLOGY (2013)

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Article Pathology

Concordance between whole-slide imaging and light microscopy for routine surgical pathology

W. Scott Campbell et al.

HUMAN PATHOLOGY (2012)

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Article Engineering, Biomedical

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data

Anant Madabhushi et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2011)

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Article Pathology

Computer-Assisted Screening of Ziehl-Neelsen-Stained Tissue for Mycobacteria Algorithm Design and Preliminary Studies on 2,000 Images

Paul J. Tadrous

AMERICAN JOURNAL OF CLINICAL PATHOLOGY (2010)

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