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| Title | Recent Advances in Histopathology 27 for Practising Histopathologists and Pathology Postgraduates | In-Depth Reviews with Key Points, Colour Microphotographs and AI in Diagnostic Pathology |
| Author | Dr. Fred T Bosman, Dr. Ivan Damjanov |
| ISBN-13 | 9781787791831 |
| Publication | Jaypee Brothers Medical Publishers |
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Recent Advances in Histopathology 27 is the latest volume in Jaypee's ongoing histopathology review series, edited by Fred T Bosman and Ivan Damjanov. Structured across 10 expert-authored chapters, it brings together in-depth reviews of recent developments across a wide range of tumour pathology, presented in an accessible, easy-to-read format and supplemented throughout with judiciously chosen colour microphotographs. The volume opens with a review of the basic principles of machine learning and how artificial intelligence is contributing new approaches to old problems in diagnostic histopathology, before moving through chapter-length updates on choriocarcinoma and other trophoblastic neoplasms, thyroid carcinoma, thymoma, pulmonary carcinoma staging, biliary tract tumours, plasma cell neoplasms, odontogenic tumours, colorectal cancer in inflammatory bowel disease, and breast metastases from extramammary malignancies. Each chapter closes with a bulleted set of "key points for clinical practice" that summarise the message and pin-point clinical relevance, and the volume ends with a comprehensive index to help you locate a specific issue quickly. Who This Book Is For: Practising Histopathologists: a concise way to update your knowledge across ten distinct tumour-pathology topics without working through full-length subspecialty texts. Pathology Postgraduates (MD/DNB): chapter-end key points and case-style discussions, such as the breast-metastasis review, support proficiency-test preparation and everyday differential-diagnosis reasoning. Why This Book Helps: Keeps you current on emerging diagnostic tools: the opening chapter explains how machine learning and artificial intelligence are being applied to histopathology image analysis and molecular tumour characterisation. Clarifies difficult differential diagnoses: the breast-metastasis chapter works through cases that mimic primary tumours, showing how immunohistochemistry resolves the ambiguity. Distills scattered literature into single reviews: each chapter synthesises current, evidence-based data on one specific tumour type into a single comprehensive overview. Scannable key points: the bulleted "key points for clinical practice" at the end of every chapter let you extract the clinically relevant takeaway without rereading the full review. Key Features: 10 chapters authored by internationally recognised pathology experts, edited by Fred T Bosman and Ivan Damjanov. Opens with a dedicated chapter on artificial intelligence and machine learning applications in diagnostic histopathology. Covers tumour pathology across ten organ systems and entities, including trophoblastic neoplasms, thyroid and thymic tumours, pulmonary carcinoma staging, biliary tract tumours, plasma cell neoplasms, odontogenic tumours, and IBD-associated colorectal cancer. Judiciously chosen colour microphotographs and comparative data tables throughout, such as a tabulated breakdown of primary tumour sites that metastasise to the breast. Bulleted "key points for clinical practice" after every chapter plus a full index for quick reference.
Dr. Fred T Bosman, Dr. Ivan Damjanov is the author of Recent Advances in Histopathology 27 for Practising Histopathologists and Pathology Postgraduates | In-Depth Reviews with Key Points, Colour Microphotographs and AI in Diagnostic Pathology.
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