Munita Bal

Delighted to welcome Dr Olaleke Folaranmi as a new Social Media Editor at the Journal of Clinical Pathology! Leke joins Archana Bhat and our social media team to share JCP research, spark discussion, and connect pathologists worldwide. Welcome to the team, Leke! #Pathology #JClinPath

Delighted to welcome Professor Pembe Oltulu as a new Social Media Editor at the Journal of Clinical Pathology! Pembe joins Archana Bhat and our social media team to share JCP research, encourage conversation, and connect our global pathology community. Welcome to the team, Pembe! #Pathology #JClinPath

Paediatric solid tumours: when is ancillary testing essential? 🔬 In a retrospective study of 309 children at an expert paediatric oncology centre, Bruinsma and colleagues found that morphology alone was sufficient for diagnosis in 58.9% of cases, with IHC needed in another 15.2%. Molecular testing was necessary for diagnosis in 25.9%, particularly for soft tissue tumours and undifferentiated small round cell sarcomas. These findings concern establishing a diagnosis. Molecular tests may still be needed for prognosis, risk stratification and treatment, and results from an expert centre may not apply equally elsewhere. Watch the video highlights and read the open-access paper: doi.org/10.1136/jcp-2026-210… #JClinPath #PaediatricPathology #MolecularPathology #Pathology

AI can flag prostate cancer. But is FDA clearance enough? This Editor’s Choice review explores FDA-cleared AI tools for prostate cancer. In FDA multi-reader studies, AI assistance improved pathologist sensitivity: Paige: 89.5% → 96.8% Ibex: 90.5% → 93.9% But improved sensitivity comes with important considerations, including specificity, reader experience and real-world validation. 🔓 OPEN ACCESS Read the full article to see how AI is moving from algorithms to the sign-out room: bit.ly/4hLoKKt #JCP #DigitalPathology #AIinPathology #ProstateCancer #OpenAccess

Delighted to welcome Professor Pembe Oltulu as a new Social Media Editor at the Journal of Clinical Pathology! Pembe joins Archana Bhat and our social media team to share JCP research, encourage conversation, and connect our global pathology community. Welcome to the team, Pembe! #Pathology #JClinPath

Are our pathology guidelines keeping pace with reality? 📖 A thought-provoking proposal to make diagnostic criteria practical, accessible and globally applicable in this excellent paper by the authors - Philippe Benjamin Stephenson, Olaleke Folaranmi, José Jiménez Heffernan, and Sanjay Mukhopadhyay, published in the BMJ Journal of Clinical Pathology. Three powerful messages: 🔹 Make criteria feasible across resource settings 🔹 Focus on what truly impacts diagnosis and treatment 🔹 Guideline panels should include community pathologists and represent the global community of pathologists The best guidelines should not just define what is ideal—they should help every pathologist make the best possible diagnosis with the resources available. Link to the full paper here bit.ly/4cvgo6K

JCP | October 2026 | Volume 79, Issue 10 Editor’s Choice Artificial Intelligence in Digital Pathology for Prostate Cancer Detection: FDA Clearance and Real-World Implementation 🔓 Open Access Retrospective analysis of Claudin 18.2 expression in advanced gastrointestinal peritoneal disease Serum versus lithium-heparin plasma for lipid testing Also in this issue: AI and the evolving role of pathologists, digital pathology, oral squamous cell carcinoma, molecular diagnostics & more. Explore the October issue of JCP! #JCP #ClinicalPathology #Pathology #DigitalPathology #ArtificialIntelligence #OpenAccess

🧬 ALK positive. But is it truly actionable? In high-grade pulmonary neuroendocrine carcinomas, ALK IHC positivity may not tell the whole story. Among 8 ALK IHC-positive cases in this study, only 2 had a confirmed ALK rearrangement, and both were detected by RNA sequencing. 🔬 IHC positive ≠ ALK rearranged 🧬 RNA sequencing identified fusions missed by DNA testing and even FISH in one case 🎯 Durable benefit from ALK-targeted therapy was seen in the molecularly confirmed DCTN1-ALK LCNEC case, with ongoing benefit beyond 16 months. Takeaway: Don’t treat the stain. Confirm the driver. 🔓 Open Access linked here: bit.ly/4xSGNmX #JCP #LungPathology #ThoracicPathology #ALK #MolecularPathology #RNASequencing #NGS #NeuroendocrineCarcinoma #PrecisionOncology #Pathology

Delighted to welcome Dr Olaleke Folaranmi as a new Social Media Editor at the Journal of Clinical Pathology! Leke joins Archana Bhat and our social media team to share JCP research, spark discussion, and connect pathologists worldwide. Welcome to the team, Leke! #Pathology #JClinPath

JCP | October 2026 | Volume 79, Issue 10 Editor’s Choice Artificial Intelligence in Digital Pathology for Prostate Cancer Detection: FDA Clearance and Real-World Implementation 🔓 Open Access Retrospective analysis of Claudin 18.2 expression in advanced gastrointestinal peritoneal disease Serum versus lithium-heparin plasma for lipid testing Also in this issue: AI and the evolving role of pathologists, digital pathology, oral squamous cell carcinoma, molecular diagnostics & more. Explore the October issue of JCP! #JCP #ClinicalPathology #Pathology #DigitalPathology #ArtificialIntelligence #OpenAccess

Are our pathology guidelines keeping pace with reality? 📖 A thought-provoking proposal to make diagnostic criteria practical, accessible and globally applicable in this excellent paper by the authors - Philippe Benjamin Stephenson, Olaleke Folaranmi, José Jiménez Heffernan, and Sanjay Mukhopadhyay, published in the BMJ Journal of Clinical Pathology. Three powerful messages: 🔹 Make criteria feasible across resource settings 🔹 Focus on what truly impacts diagnosis and treatment 🔹 Guideline panels should include community pathologists and represent the global community of pathologists The best guidelines should not just define what is ideal—they should help every pathologist make the best possible diagnosis with the resources available. Link to the full paper here bit.ly/4cvgo6K

This review paper by the authors - Sarah E Coupland, Arvind Rao, Danny Jonigk, Roman Bülow, Runjan Chetty, Swapnil Ulhas Rane, Sandeep Dave, Kikkeri N Naresh, critically evaluates the current evidence supporting the use of AI in digital pathology and outlines the conditions required to bridge proof-of-concept studies and safe deployment in routine practice. Link here for more details bit.ly/4zF6yt3

The September issue of the Journal of Clinical Pathology is here! Editor's choice - Review article titled "Promise and pragmatism of AI in global-scale digital pathology: pan-cancer approaches for clinical practice" Also in this issue: - Review article on luminal phenotype in low-grade breast epithelilal proliferations - Original research paper on HER2-low as a unique subgroup - MRI-targeted vs systematic needle core biopsies in prostate cancer - Basal plasmacytosis and eosinophilia for distinguishing IBD from GI Tuberculosis on mucosal biopsy - Mesenchymal neoplasm with RAF/BRAF alterations - and many interesting short reports

Can Ki-67 counting go digital—without a whole-slide scanner? 🔬💻 A new JCP study puts several digital approaches to the test for Ki-67 quantification in gastrointestinal well-differentiated neuroendocrine tumours (NETs). - 68 NETs were evaluated using manual counting vs digital image analysis - QuPath, ImageJ and ChatGPT-based colour segmentation showed strong agreement with manual Ki-67 counting - Even simple microscope camera-captured images performed comparably to whole-slide images - Grade changes were uncommon—and occurred mainly around the critical Ki-67 cut-off values - Some platforms performed better than others, highlighting the importance of validation before clinical use Why does this matter? Digital Ki-67 assessment may not have to depend on expensive whole-slide imaging infrastructure. Open-source tools + a microscope camera could make more reproducible quantification accessible to a much wider range of laboratories. 📖 Open access article linked here: bit.ly/4crJUdp #JCPJournal #DigitalPathology #Pathology #Ki67 #NeuroendocrineTumor #ArtificialIntelligence #QuPath #ImageAnalysis #openaccess