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In Vitro Ultrasound Biomicroscopic Imaging of Colitis in Rats
Author(s) -
Soldan Mônica,
Schanaider Alberto,
Madi Kalil,
Zaltman Cyrla,
Machado João C.
Publication year - 2009
Publication title -
journal of ultrasound in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 91
eISSN - 1550-9613
pISSN - 0278-4297
DOI - 10.7863/jum.2009.28.4.463
Subject(s) - submucosa , medicine , ultrasound biomicroscopy , ultrasound , pathology , edema , muscularis mucosae , intestinal mucosa , biopsy , anatomy , radiology
Objective. The purpose of this study was to show the feasibility of 50‐MHz ultrasound biomicroscopy (UBM) to image the rat colon. Methods. B‐mode images were obtained from ex vivo colon samples (n = 4) collected from Rattus norvegicus (Berkenhout, 1769) rats, with 2,4,6‐trinitrobenzene sulfonic acid–induced colitis in 3 of them. Left colon rectangular fragments (5 × 5 mm) were obtained after necropsy, and UBM images were acquired with the samples immersed in saline at 37°C. All layers of the normal intestinal wall were analyzed according to their thickness and the presence of uneven bowel mucosa (ulcers). The folds and layers detected by UBM were correlated with histopathologic analysis. Results. The 4 layers of the normal colon were identified on the UBM images: the mucosa (hyperechoic), muscularis mucosae (hypoechoic), submucosa (hyperechoic), and muscularis externa (hypoechoic). On 2 UBM images, superficial ulcers were detected, approximately 0.5 mm in size, with intestinal involvement limited to the mucosa. The histopathologic analysis verified enlargement of submucosa layers due to an edema associated with sub‐mucosa leukocyte infiltration. On 1 UBM image, it was possible to detect a deep ulcer, which was confirmed by the light microscopic analysis. Conclusions. An ultrasound imaging system was scaled and optimized to visualize the rat colon. Ultrasound biomicroscopy provided axial and lateral resolutions close to 25 and 45 μm, respectively, and adequate penetration depth to visualize the whole thickness of an inflamed colon. The system identified the colon layers and was able to detect mural changes and superficial ulcers on the order of 500 μm.