Journal of Pathology and Translational Medicine

Review

Diagnosis of interstitial lung diseases: from Averill A. Liebow to artificial intelligence: Eunhee S. Yi, Paul Wawryko, Jay H. Ryu; J Pathol Transl Med. 2024;58(1):1-11. Published online January 10, 2024; DOI: https://doi.org/10.4132/jptm.2023.11.17

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Histopathologic criteria of usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) were defined over the years and endorsed by leading organizations decades after Dr. Averill A. Liebow first coined the term UIP in the 1960s as a distinct pathologic pattern of fibrotic interstitial lung disease. Novel technology and recent research on interstitial lung diseases with genetic component shed light on molecular pathogenesis of UIP/IPF. Two antifibrotic agents introduced in the mid-2010s opened a new era of therapeutic approaches to UIP/IPF, albeit contentious issues regarding their efficacy, side effects, and costs. Recently, the concept of progressive pulmonary fibrosis was introduced to acknowledge additional types of progressive fibrosing interstitial lung diseases with the clinical and pathologic phenotypes comparable to those of UIP/IPF. Likewise, some authors have proposed a paradigm shift by considering UIP as a stand-alone diagnostic entity to encompass other fibrosing interstitial lung diseases that manifest a relentless progression as in IPF. These trends signal a pendulum moving toward the tendency of lumping diagnoses, which poses a risk of obscuring potentially important information crucial to both clinical and research purposes. Recent advances in whole slide imaging for digital pathology and artificial intelligence technology could offer an unprecedented opportunity to enhance histopathologic evaluation of interstitial lung diseases. However, current clinical practice trends of moving away from surgical lung biopsies in interstitial lung disease patients may become a limiting factor in this endeavor as it would be difficult to build a large histopathologic database with correlative clinical data required for artificial intelligence models.

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Identification of early genes in the pathophysiology of fibrotic interstitial lung disease in a new model of pulmonary fibrosis
Nathan Hennion, Corentin Bedart, Léonie Vandomber, Frédéric Gottrand, Sarah Humez, Cécile Chenivesse, Jean-Luc Desseyn, Valérie Gouyer
Cellular and Molecular Life Sciences.2025;[Epub] CrossRef

Original Articles

Tumor-infiltrating T lymphocytes evaluated using digital image analysis predict the prognosis of patients with diffuse large B-cell lymphoma: Yunjoo Cho, Jiyeon Lee, Bogyeong Han, Sang Eun Yoon, Seok Jin Kim, Won Seog Kim, Junhun Cho; J Pathol Transl Med. 2024;58(1):12-21. Published online January 10, 2024; DOI: https://doi.org/10.4132/jptm.2023.11.02

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Abstract PDF

Background
The implication of the presence of tumor-infiltrating T lymphocytes (TIL-T) in diffuse large B-cell lymphoma (DLBCL) is yet to be elucidated. We aimed to investigate the effect of TIL-T levels on the prognosis of patients with DLBCL.
Methods
Ninety-six patients with DLBCL were enrolled in the study. The TIL-T ratio was measured using QuPath, a digital pathology software package. The TIL-T ratio was investigated in three foci (highest, intermediate, and lowest) for each case, resulting in TIL-T–Max, TIL-T–Intermediate, and TIL-T–Min. The relationship between the TIL-T ratios and prognosis was investigated.
Results
When 19% was used as the cutoff value for TIL-T–Max, 72 (75.0%) and 24 (25.0%) patients had high and low TIL-T–Max, respectively. A high TIL-T–Max was significantly associated with lower serum lactate dehydrogenase levels (p < .001), with patient group who achieved complete remission after RCHOP therapy (p < .001), and a low-risk revised International Prognostic Index score (p < .001). Univariate analysis showed that patients with a low TIL-T–Max had a significantly worse prognosis in overall survival compared to those with a high TIL-T–Max (p < .001); this difference remained significant in a multivariate analysis with Cox proportional hazards (hazard ratio, 7.55; 95% confidence interval, 2.54 to 22.42; p < .001).
Conclusions
Patients with DLBCL with a high TIL-T–Max showed significantly better prognosis than those with a low TIL-T–Max, and the TIL-T–Max was an independent indicator of overall survival. These results suggest that evaluating TIL-T ratios using a digital pathology system is useful in predicting the prognosis of patients with DLBCL.

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Do Pre‐Treatment Biopsy Characteristics Predict Early Tumour Progression in Feline Diffuse Large B Cell Nasal Lymphoma Treated With Radiotherapy?
Valerie J. Poirier, Valeria Meier, Michelle Turek, Neil Christensen, Jacqueline Bowal, Matthew D. Ponzini, Stefan M. Keller
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Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea: Yosep Chong, Soon Auck Hong, Hoon Kyu Oh, Soo Jin Jung, Bo-Sung Kim, Ji Yun Jeong, Ho-Chang Lee, Gyungyub Gong; J Pathol Transl Med. 2023;57(5):251-264. Published online August 24, 2023; DOI: https://doi.org/10.4132/jptm.2023.07.17

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Abstract PDF Supplementary Material

Background
The Korean Society for Cytopathology introduced a digital proficiency test (PT) in 2021. However, many doubtful opinions remain on whether digitally scanned images can satisfactorily present subtle differences in the nuclear features and chromatin patterns of cytological samples.
Methods
We prepared 30 whole-slide images (WSIs) from the conventional PT archive by a selection process for digital PT. Digital and conventional PT were performed in parallel for volunteer institutes, and the results were compared using feedback. To assess the quality of cytological assessment WSIs, 12 slides were collected and scanned using five different scanners, with four cytopathologists evaluating image quality through a questionnaire.
Results
Among the 215 institutes, 108 and 107 participated in glass and digital PT, respectively. No significant difference was noted in category C (major discordance), although the number of discordant cases was slightly higher in the digital PT group. Leica, 3DHistech Pannoramic 250 Flash, and Hamamatsu NanoZoomer 360 systems showed comparable results in terms of image quality, feature presentation, and error rates for most cytological samples. Overall satisfaction was observed with the general convenience and image quality of digital PT.
Conclusions
As three-dimensional clusters are common and nuclear/chromatin features are critical for cytological interpretation, careful selection of scanners and optimal conditions are mandatory for the successful establishment of digital quality assurance programs in cytology.

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Chang Gok Woo, Seung‐Myoung Son, Hye‐Kyung Hwang, Jung‐Sil Bae, Ok‐Jun Lee, Ho‐Chang Lee
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Development of quality assurance program for digital pathology by the Korean Society of Pathologists: Yosep Chong, Jeong Mo Bae, Dong Wook Kang, Gwangil Kim, Hye Seung Han; J Pathol Transl Med. 2022;56(6):370-382. Published online November 15, 2022; DOI: https://doi.org/10.4132/jptm.2022.09.30

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Abstract PDF Supplementary Material

Background
Digital pathology (DP) using whole slide imaging is a recently emerging game changer technology that can fundamentally change the way of working in pathology. The Digital Pathology Study Group (DPSG) of the Korean Society of Pathologists (KSP) published a consensus report on the recommendations for pathologic practice using DP. Accordingly, the need for the development and implementation of a quality assurance program (QAP) for DP has been raised.
Methods
To provide a standard baseline reference for internal and external QAP for DP, the members of the Committee of Quality Assurance of the KSP developed a checklist for the Redbook and a QAP trial for DP based on the prior DPSG consensus report. Four leading institutes participated in the QAP trial in the first year, and we gathered feedback from these institutes afterwards.
Results
The newly developed checklists of QAP for DP contain 39 items (216 score): eight items for quality control of DP systems; three for DP personnel; nine for hardware and software requirements for DP systems; 15 for validation, operation, and management of DP systems; and four for data security and personal information protection. Most participants in the QAP trial replied that continuous education on unfamiliar terminology and more practical experience is demanding.
Conclusions
The QAP for DP is essential for the safe implementation of DP in pathologic practice. Each laboratory should prepare an institutional QAP according to this checklist, and consecutive revision of the checklist with feedback from the QAP trial for DP needs to follow.

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An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center
Viola Iwuajoku, Kübra Ekici, Anette Haas, Mohammed Zaid Khan, Azar Kazemi, Atsuko Kasajima, Claire Delbridge, Alexander Muckenhuber, Elisa Schmoeckel, Fabian Stögbauer, Christine Bollwein, Kristina Schwamborn, Katja Steiger, Carolin Mogler, Peter J. Schüf
Virchows Archiv.2025;[Epub] CrossRef
Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea
Yosep Chong, Soon Auck Hong, Hoon Kyu Oh, Soo Jin Jung, Bo-Sung Kim, Ji Yun Jeong, Ho-Chang Lee, Gyungyub Gong
Journal of Pathology and Translational Medicine.2023; 57(5): 251. CrossRef

Reviews

Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists: Yosep Chong, Dae Cheol Kim, Chan Kwon Jung, Dong-chul Kim, Sang Yong Song, Hee Jae Joo, Sang-Yeop Yi; J Pathol Transl Med. 2020;54(6):437-452. Published online October 8, 2020; DOI: https://doi.org/10.4132/jptm.2020.08.27

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Abstract PDF Supplementary Material

Digital pathology (DP) using whole slide imaging (WSI) is becoming a fundamental issue in pathology with recent advances and the rapid development of associated technologies. However, the available evidence on its diagnostic uses and practical advice for pathologists on implementing DP remains insufficient, particularly in light of the exponential growth of this industry. To inform DP implementation in Korea, we developed relevant and timely recommendations. We first performed a literature review of DP guidelines, recommendations, and position papers from major countries, as well as a review of relevant studies validating WSI. Based on that information, we prepared a draft. After several revisions, we released this draft to the public and the members of the Korean Society of Pathologists through our homepage and held an open forum for interested parties. Through that process, this final manuscript has been prepared. This recommendation contains an overview describing the background, objectives, scope of application, and basic terminology; guidelines and considerations for the hardware and software used in DP systems and the validation required for DP implementation; conclusions; and references and appendices, including literature on DP from major countries and WSI validation studies.

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An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center
Viola Iwuajoku, Kübra Ekici, Anette Haas, Mohammed Zaid Khan, Azar Kazemi, Atsuko Kasajima, Claire Delbridge, Alexander Muckenhuber, Elisa Schmoeckel, Fabian Stögbauer, Christine Bollwein, Kristina Schwamborn, Katja Steiger, Carolin Mogler, Peter J. Schüf
Virchows Archiv.2025;[Epub] CrossRef
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
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Diagnostic proficiency test using digital cytopathology and comparative assessment of whole slide images of cytologic samples for quality assurance program in Korea
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Introduction to digital pathology and computer-aided pathology: Soojeong Nam, Yosep Chong, Chan Kwon Jung, Tae-Yeong Kwak, Ji Youl Lee, Jihwan Park, Mi Jung Rho, Heounjeong Go; J Pathol Transl Med. 2020;54(2):125-134. Published online February 13, 2020; DOI: https://doi.org/10.4132/jptm.2019.12.31

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Abstract PDF

Digital pathology (DP) is no longer an unfamiliar term for pathologists, but it is still difficult for many pathologists to understand the engineering and mathematics concepts involved in DP. Computer-aided pathology (CAP) aids pathologists in diagnosis. However, some consider CAP a threat to the existence of pathologists and are skeptical of its clinical utility. Implementation of DP is very burdensome for pathologists because technical factors, impact on workflow, and information technology infrastructure must be considered. In this paper, various terms related to DP and computer-aided pathologic diagnosis are defined, current applications of DP are discussed, and various issues related to implementation of DP are outlined. The development of computer-aided pathologic diagnostic tools and their limitations are also discussed.

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Multimedia Tools and Applications.2023; 83(19): 57449. CrossRef
Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
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Artificial Intelligence in Toxicological Pathology: Quantitative Evaluation of Compound-Induced Follicular Cell Hypertrophy in Rat Thyroid Gland Using Deep Learning Models
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Digital Dermatopathology and Its Application to Mohs Micrographic Surgery
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PancreaSys: An Automated Cloud-Based Pancreatic Cancer Grading System
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Classification of Mouse Lung Metastatic Tumor with Deep Learning
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Techniques for digital histological morphometry of the pineal gland
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Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape
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Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach
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Clustered nuclei splitting based on recurrent distance transform in digital pathology images
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Cancers.2020; 12(7): 1884. CrossRef
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Journal of Pathology and Translational Medicine.2020; 54(6): 437. CrossRef
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