Professor Anil Parwani, MD, PhD, MBA, The Ohio State University, United States
Professor Zaibo Li, MD, PhD, The Ohio State University Wexner Medical Center, United States
Diagnostic Pathology is calling for submissions to our Collection on Precision Pathology: A New Frontier for Diagnostic Pathology.
Image credit: © LALAKA / stock.adobe.com
Digital Pathology or whole slide imaging (WSI) is a diagnostic evaluation technique that produces digital images of high quality from tissue fragments. These images are formed on glass slides and evaluated by ...
A number of genetic aberrations are associated with the BCL6-correpresor gene (BCOR), including internal tandem duplications (ITDs) and gene fusions (BCOR::CCNB3 and BCOR::MAML3), as well as YWHAE::NUTM2, which a...
Considering the significant participation of the microenvironment in the local aggressiveness of odontogenic keratocysts, this study aims to evaluate the expression of ADAMTS-1 and its substrates, versican, ag...
The main difficulty in the diagnosis of atypical in situ adenocarcinoma lies in the distinction between true and false stromal invasion. Moreover, how to identify local alveolar wall collapse in situ lung aden...
The positive expression of Cyclin D1 in immunohistochemical (IHC) staining serves as the cornerstone for diagnosing mantle cell lymphoma (MCL). However, existing literature does not conclusively establish whet...
To investigate the genetic mutations in patients with papillary thyroid carcinoma (PTC) and their clinicopathological features by next generation sequencing (NGS).
Warthin tumor (WT) is the second most common benign tumor in salivary gland. It has a slow growth rate and most frequently occurs in the parotid gland. Most patients present with an incidental finding of a pai...
CLDN is a core component of tight junctions (TJs). Abnormal expressions of CLDNs are commonly detected in various types of tumors. CLDNs are of interest as a potential therapeutic target. CLDNs are closely ass...
Compared to primary breast sarcoma (BSs), radiotherapy-induced sarcoma (RIS) is a less frequent type of secondary breast sarcoma. Undifferentiated pleomorphic sarcoma (UPS) is an even rarer occurrence within t...
Hepatocellular carcinoma (HCC) is a malignant tumor. It is estimated that approximately 50–80% of HCC cases worldwide are caused by hepatitis b virus (HBV) infection, and other pathogenic factors have been sho...
The Correction to this article has been published in Diagnostic Pathology 2024 19:117
There is currently scarcity of information on small cell neuroendocrine carcinoma of the nasopharynx (SCNEC-nasopharynx). It is believed that this type of cancer is not associated with Epstein-Barr virus (EBV)...
Acinic cell carcinoma (AciCC) of the breast is a rare subtype of breast cancer. It was considered a low-grade triple-negative breast cancer (TNBC) with the potential to progress or transform into a high-grade ...
Immunohistochemistry (IHC) is widely used in the management of patients with cervical intraepithelial neoplasia (CIN) but still has many limitations in clinical practice. We analyzed the correlation of new bio...
In recent years, the field of pathology has undergone a remarkable transformation, driven by advancements in technologies and our growing understanding of diseases at a molecular level. One such technology is digital pathology which enables the digitization of histopathology slides, creating vast repositories of digital images that can be analysed, shared, and utilised for research, education and diagnostic purposes. Advanced image analysis algorithms and machine learning techniques are being employed to extract valuable information from these images, aiding pathologists in making more accurate and efficient diagnoses.
Precision pathology represents a shift in the way we diagnose, classify, and treat diseases. A key area of focus in precision pathology, is the utility of digital pathology and artificial intelligence as well as integration of genomic information into diagnostic and treatment decisions. By analysing the DNA and RNA profiles of tumours, researchers can identify specific genetic mutations, gene expression patterns, and molecular signatures that guide personalised treatment strategies. This can be effectively combined with AI-powered algorithms to create a “PRECISE” pathology diagnosis leading to customized treatments for individual patients, these insights allow for targeted therapies, resulting in better patient outcomes and reduced side effects.
This collection of articles aims to explore the exciting developments and opportunities that precision pathology brings to the forefront of healthcare. It will delve into topics such as genomics, proteomics, and computational-enabled precise pathology diagnostics, which are revolutionizing the way we analyse and interpret pathology specimens and data.
We hope that the articles featured in this collection will not only deepen your understanding of precision pathology but also inspire further research and collaboration, propelling us toward a future where personalised and targeted medicine becomes the standard of care.
This Collection welcomes submission of research articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal.
Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Precision Pathology: A New Frontier for Diagnostic Pathology" under the “Details” tab during the submission stage.
Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.
The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.