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[Pathology of the spleen : Differential diagnosis of splenomegaly].
Pathologie (Heidelb)
January 2025
Institut für Pathologie, Universitätsmedizin Göttingen, Universität Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
After describing the anatomy of the spleen and the most important immunohistochemical stains for identifying cellular constituents of the normal splenic compartments, etiologies of splenomegaly and the diagnostic approach for spleen biopsies are discussed using the example of a North African patient with a recent migration background and sudden fever. The focus is on infectious diseases and the morphology and molecular features of hematolymphoid neoplasms, particularly the primary "splenic B‑cell lymphomas" according to the World Health Organization (WHO) classification. The importance of clinicopathological correlations and interdisciplinary cooperation in splenic pathology is emphasized.
View Article and Find Full Text PDFMore than meets the eye: predicting adrenocortical carcinoma outcomes with pathomics.
Eur J Endocrinol
January 2025
Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong, PR China.
Background: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with high recurrence rates and poor prognosis. Current prognostic models are inadequate, highlighting the need for innovative diagnostic tools. Pathomics, which utilizes computer algorithms to analyze whole-slide images, offers a promising approach to enhance prognostic models for ACC.
View Article and Find Full Text PDFInterpretable machine learning models for predicting skip metastasis in cN0 papillary thyroid cancer based on clinicopathological and elastography radiomics features.
Front Oncol
January 2025
Departments of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine &Health Sciences, Shanghai, China.
Background: Skip lymph node metastasis (SLNM) in papillary thyroid cancer (PTC) involves cancer cells bypassing central nodes to directly metastasize to lateral nodes, often undetected by standard preoperative ultrasonography. Although multiple models exist to identify SLNM, they are inadequate for clinically node-negative (cN0) patients, resulting in underestimated metastatic risks and compromised treatment effectiveness. Our study aims to develop and validate a machine learning (ML) model that combines elastography radiomics with clinicopathological data to predict pre-surgical SLNM risk in cN0 PTC patients with increased risk of lymph node metastasis (LNM), improving their treatment strategies.
View Article and Find Full Text PDFSpectral CT radiomics features of the tumor and perigastric adipose tissue can predict lymph node metastasis in gastric cancer.
Abdom Radiol (NY)
January 2025
Department of Radiology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
Objectives: To develop a nomogram based on the radiomics features of tumour and perigastric adipose tissue adjacent to the tumor in dual-layer spectral detector computed tomography (DLCT) for lymph node metastasis (LNM) prediction in gastric cancer (GC).
Methods: A retrospective analysis was conducted on 175 patients with gastric adenocarcinoma. They were divided into training cohort (n = 125) and validation cohort (n = 50).
Comprehensive Overview of Molecular, Imaging, and Therapeutic Challenges in Rectal Mucinous Adenocarcinoma.
Int J Mol Sci
January 2025
3rd Department of Surgery, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400162 Cluj-Napoca, Romania.
Rectal cancer is one of the most frequent malignancies worldwide. The most common histological type is adenocarcinoma, followed by mucinous adenocarcinoma. The outcome is less favorable for the mucinous type, yet the treatment course is the same.
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