The association between histopathological growth patterns with tumor budding and poorly differentiated clusters in colorectal liver metastasis treated with preoperative systemic therapy.

The liver's unique cellular structure makes it a frequent site for metastatic cancer. In colorectal liver metastasis (CRLM), surgical resection is essential for long-term survival. Histopathological growth patterns (HGPs) in CRLM, including desmoplastic and nondesmoplastic patterns, provide critical prognostic information.

A survey analysis of the adoption of large language models among pathologists.

Objectives: We sought to investigate the adoption and perception of large language model (LLM) applications among pathologists.

Methods: A cross-sectional survey was conducted, gathering data from pathologists on their usage and views concerning LLM tools. The survey, distributed globally through various digital platforms, included quantitative and qualitative questions.

Thinking like a pathologist: Morphologic approach to hepatobiliary tumors by ChatGPT.

Objectives: This research aimed to evaluate the effectiveness of ChatGPT in accurately diagnosing hepatobiliary tumors using histopathologic images.

Methods: The study compared the diagnostic accuracies of the GPT-4 model, providing the same set of images and 2 different input prompts. The first prompt, the morphologic approach, was designed to mimic pathologists' approach to analyzing tissue morphology.

Comparing customized ChatGPT and pathology residents in histopathologic description and diagnosis of common diseases.

This study aimed to evaluate and analyze the performance of a customized Chat Generative Pre-Trained Transformer (ChatGPT), known as GPT, against pathology residents in providing microscopic descriptions and diagnosing diseases from histopathological images. A dataset of representative photomicrographs from 70 diseases across 14 organ systems was analyzed by a customized version of ChatGPT-4 (GPT-4) and pathology residents. Two pathologists independently evaluated the microscopic descriptions and diagnoses using a predefined scoring system (0-4 for microscopic descriptions and 0-2 for pathological diagnoses), with higher scores indicating greater accuracy.

ChatGPT as a teaching tool: Preparing pathology residents for board examination with AI-generated digestive system pathology tests.

Objectives: To evaluate the effectiveness of ChatGPT 4 in generating multiple-choice questions (MCQs) with explanations for pathology board examinations, specifically for digestive system pathology.

Methods: The customized ChatGPT 4 model was developed for MCQ and explanation generation. Expert pathologists evaluated content accuracy and relevance.

Comparative analysis of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.

Objectives: To evaluate the accuracy of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.

Methods: The study evaluated ChatGPT-4 and Bard's performance using 86 multiple-choice questions, with 17 (19.8%) focusing on general pathology and 69 (80.

Histopathologic evaluation of gastric intestinal metaplasia in non-neoplastic biopsy specimens: Accuracy and interobserver reliability among general pathologists and pathology residents.

Objectives: This study aimed to evaluate the accuracy and interobserver reliability of diagnosing and subtyping gastric intestinal metaplasia (IM) among general pathologists and pathology residents at a university hospital in Thailand, focusing on the challenges in the histopathologic evaluation of gastric IM for less experienced practitioners.

Methods: The study analyzed 44 non-neoplastic gastric biopsies, using a consensus diagnosis of gastrointestinal pathologists as the reference standard. Participants included 6 general pathologists and 9 pathology residents who assessed gastric IM and categorized its subtype (complete, incomplete, or mixed) on digital slides.

Accuracy of GPT-4 in histopathological image detection and classification of colorectal adenomas.

Aims: To evaluate the accuracy of Chat Generative Pre-trained Transformer (ChatGPT) powered by GPT-4 in histopathological image detection and classification of colorectal adenomas using the diagnostic consensus provided by pathologists as a reference standard.

Methods: A study was conducted with 100 colorectal polyp photomicrographs, comprising an equal number of adenomas and non-adenomas, classified by two pathologists. These images were analysed by classic GPT-4 for 1 time in October 2023 and custom GPT-4 for 20 times in December 2023.

Learning at a distance: results of an international survey on the adoption of virtual conferences and whole slide imaging by pathologists.

Aims: This study presents the findings of a global survey of pathologists' views of online conferences and digital pathology.

Methods: An online anonymous survey consisting of 11 questions focusing on pathologists' perceptions of virtual conferences and digital slides was distributed to practising pathologists and trainees across the globe using the authors' social media accounts and professional society connections. Participants were asked to rank their preference for various aspects of pathology meetings on a 5-point Likert scale.

Validation of whole slide imaging for frozen section diagnosis of lymph node metastasis: A retrospective study from a tertiary care hospital in Thailand.

Background: The use of whole slide imaging (WSI) for frozen section (FS) diagnosis is helpful, particularly in the context of pathologist shortages. However, there is minimal data on such usage in resource-limited settings. This study aims to validate the use of WSI for FS diagnosis of lymph node metastasis using a low-cost virtual microscope scanner with consumer-grade laptops at a tertiary care hospital in Thailand.

Useful histopathologic features for diagnosing focal liver lesions with spindle cell morphology: A clinicopathologic study.

Background: Focal liver lesions with spindle cell morphology are rare in the daily practice of pathology. The differential diagnosis is broad, including both tumors and tumor-like lesions. Initial radiologic assessment is sometimes inaccurate.

Cytomegalovirus colitis in an immunocompromised patient presenting with massive lower gastrointestinal bleeding.

A 48-year-old man with HIV infection (CD4 count = 84 cells/μL) experienced hematemesis and hematochezia. Colonoscopy revealed massive bleeding in the colon, in which the source of the bleeding could not be identified. A total colectomy was performed.

Combined hepatocellular-cholangiocarcinoma and its mimickers: Diagnostic pitfalls in surgical pathology.

Background: The diagnosis of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) requires histomorphological detection of both hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA). However, these primary liver cancers (PLCs) have a wide variety of microscopic appearances resulting in difficulties and uncertainties in cHCC-CCA's diagnosis. This study aims to perform a clinicopathologic analysis on the diagnosis of PLCs at a tertiary referral hospital in Thailand using traditional morphologic studies.

Pathological aspects of mucinous cholangiocarcinoma: A single-center experience and systematic review.

Cholangiocarcinoma is a malignant neoplasm originating from the biliary epithelium. Its incidence is highest in Southeast Asia, especially in Thailand. Mucinous intrahepatic cholangiocarcinoma (mucinous iCCA), characterized by an abundant extracellular mucin pool accounting for at least 50% of total tumor volume, is an extremely rare variant of such malignancy and is notorious for rapid progression and dismal prognosis.

A case report of pulmonary amyloidosis recognized by detection of AA amyloid exclusively in alveolar macrophages.

Amyloidosis is a rare condition in which tissue deposits of inert fibrillar protein result in organ damage and dysfunction. There are several types of amyloid fibrils. Some of the most common forms are AL (amyloid light chain) protein and AA (amyloid-associated) type of amyloid fibril protein.