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Objective: Very early-onset inflammatory bowel disease (VEO-IBD) is a clinical umbrella term referring to IBD-like symptoms arising in children before 6 years of age, encompassing 'pure' IBD (Crohn's Colitis/Ulcerative Colitis)/non IBD colitis, and monogenic diseases (MDs), the latter often related to primary immunodeficiency disorders. A multidisciplinary approach is imperative for correct therapeutic management, as endoscopy and histology are not always completely informative. In this setting, the study aims to describe the extent/features of histologic lesions in both endoscopically damaged mucosa and otherwise endoscopically healthy (normal/near normal) mucosa.
Methods: Endoscopic data were retrospectively recorded, and histologic slides were collegially re-evaluated in a 93 VEO-IBD multicenter cohort, 76 (76/93 - 81,7 %) of which with complete endoscopic/histologic data.
Results: At endoscopy, lesions were reported by the clinician in 66/76 (86,8 %) cases. When endoscopic lesions were reported, histologic damage was also seen. Interestingly, histologic mucosal damage was also documented in 43,3 % (13/30) of cases with endoscopically healthy/nearly healthy mucosa. This misalignment between endoscopy and pathology was seen in about a third of (29,1 % - 7/24) 'true' IBD and all MDs (100 % - 6/6) (p = 0.0029).
Conclusion: In VEO-IBD, histologic lesions can be present in endoscopically 'healthy' intestinal mucosa. This finding is more frequent in MDs, suggesting the need to accurately sample all the mucosal tract in VEO-IBD patients, even when no endoscopic lesions are seen at endoscopy.
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http://dx.doi.org/10.1016/j.humpath.2025.105763 | DOI Listing |
Head Neck Pathol
September 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.
Myoepithelial carcinoma (MECA) is a malignant neoplasm composed exclusively of myoepithelial cells and accounts for less than 1% of all salivary gland tumors. Its diagnosis is often challenging due to histologic overlaps with benign lesions and its variable morphologic presentation. Although molecular profiling has emerged as a valuable tool in salivary gland tumor classification, the genetic landscape of MECA remains incompletely defined.
View Article and Find Full Text PDFDermatol Surg
September 2025
HCA Florida Orange Park Hospital, Orange Park, Florida.
Background: Mohs micrographic surgery (MMS) allows for precise excision of skin cancers with intraoperative histologic margin assessment. Incidental findings-unexpected histopathologic features unrelated to the primary lesion-are occasionally discovered but scantily characterized in the literature.
Objective: To systematically review published cases of incidental histologic findings identified during MMS, with attention to their frequency, clinical implications, and management.
Clin Exp Dent Res
October 2025
Laboratory of Experimental Physiopathology, Program of postgraduate in Science of Health, Universidade do Extremo Sul Catarinense, Criciúma, Santa Catarina state, Brazil.
Objectives: This study aimed to compare the effects of silver nanoparticles (AgNPs) synthesized with Curcumin (Curcuma longa L.) or Açai (Euterpe oleracea) versus a commercial treatment and photobiomodulation in rat palatal wounds.
Methods: In vitro cell viability tests assessed nanoparticle toxicity.
Urol Case Rep
September 2025
Pediatric Surgery Department "A", Children Hospital Bechir Hamza, Tunis, Tunisia.
We present a rare case of a full-term male neonate with a complex perineal anomaly featuring a mucosa-lined cleft extending from the penile base to the right gluteal fold, accompanied by penoscrotal transposition, hemiscrotal hypoplasia, and hypospadias. The lesion's anatomical and histological characteristics suggest antenatal rupture of a rectal duplication cyst. This report highlights the diagnostic challenges of exteriorized rectal duplications and underscores the importance of multistage reconstruction for optimal functional and cosmetic outcomes.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, China.
Objective: To develop a deep learning radiomics(DLR)model integrating PET/CT radiomics, deep learning features, and clinical parameters for early prediction of bone oligometastases (≤5 lesions) in breast cancer.
Methods: We retrospectively analyzed 207 breast cancer patients with 312 bone lesions, comprising 107 benign and 205 malignant lesions, including 89 lesions with confirmed bone metastases. Radiomic features were extracted from computed tomography (CT), positron emission tomography (PET), and fused PET/CT images using PyRadiomics embedded in the uAI Research Portal.