Diagnostic Immunohistochemistry: An Algorithmic Approach

By Vishal Tayade

The IHC reference for the pathologist deciding the next stain at sign-out.

Diagnostic Immunohistochemistry: An Algorithmic Approach addresses a long-standing gap in the international IHC literature - the absence of a reference that integrates pattern recognition, the molecular surrogate framework, and a categorised pitfalls taxonomy in one diagnostic voice.

Thirty-two chapters in three parts - Foundations, Predictive Frameworks, and Organ-Specific Reading Discipline - culminate in a Cross-Organ Surrogate Reference Appendix that consolidates fourteen unified molecular-IHC frameworks (BAP1, SMARCB1, BCOR, IDH, BRAF V600E, beta-catenin nuclear, TFE3, NTRK, MDM2, SDHB, and others) into a single accessible layer. Forty-three schematic algorithm figures are the load-bearing content of each chapter.

Every chapter follows the same architecture: pattern recognition entry, algorithmic decision tree, molecular surrogate integration per the Class I, II, and III framework, predictive and theranostic biomarker deployment, and a categorised pitfalls section.

What this book offers:

- One diagnostic method, applied uniformly across every chapter and the appendix
- Algorithm-first architecture with 43 schematic decision trees
- Molecular surrogate framework - Class I, II, III - applied uniformly
- WHO 5th Edition native across all organ systems
- Cross-Organ Surrogate Reference Appendix - 14 unified frameworks
- Four-category pitfalls taxonomy in every chapter
- 257-entry page-number index for rapid bench-side lookup

Written for diagnostic pathologists, surgical pathology fellows, and pathology trainees preparing for FRCPath, USMLE, and board examinations. Current to the WHO 5th edition across all organ systems.

666 pages. First edition, 2026.

• Format: Paperback
• Language: English
• ISBN: 8168718259
• ISBN13: 9788168718258
• Release Date: June 2026
• Publisher: Vayden Academic Press
• Length: 684 Pages
• Weight: 2.57 lbs.
• Dimensions: 1.4" x 7.0" x 10.0"