Article ; Online: Ovarian Suture Granuloma Resembling a Tumor in a Bitch.
Topics in companion animal medicine
2022 Volume 50, Page(s) 100675
Abstract: Ovariohysterectomy is a common surgical procedure performed on female dogs throughout the world. One rare complication is the development of granulomas as a reaction to sutures. Granulomas can grossly and on diagnostic imaging mimic neoplasia, which can ... ...
| Abstract | Ovariohysterectomy is a common surgical procedure performed on female dogs throughout the world. One rare complication is the development of granulomas as a reaction to sutures. Granulomas can grossly and on diagnostic imaging mimic neoplasia, which can present a diagnostic challenge. We present a rare case of ovarian suture granuloma, which resembled a tumor on diagnostic imaging. A 5-year-old, spayed, mixed-breed bitch was presented for anorexia and apathy lasting for a week. On clinical examination fever, dehydration, enlarged lymph nodes, and a tense abdomen were evident. Radiology and ultrasound revealed a 9 cm x 7 cm mass at the location of the left ovary, presumed to be a tumor. The mass was removed on laparotomy and submitted for histopathology which diagnosed granulomatous inflammation as a reaction to a foreign body (most consistently with suture reaction). The current case presents a rare late complication of ovariohysterectomy in the form of a suture granuloma. The case emphasizes the need for additional diagnostic procedures for etiologic diagnosis of masses encountered in the abdomen, especially histopathology, as diagnostic imaging cannot distinguish inflammation from neoplasia. |
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| MeSH term(s) | Animals ; Dog Diseases/diagnostic imaging ; Dog Diseases/surgery ; Dogs ; Female ; Granuloma/diagnosis ; Granuloma/surgery ; Granuloma/veterinary ; Inflammation/veterinary ; Neoplasms/veterinary ; Ovary ; Sutures |
| Language | English |
| Publishing date | 2022-05-27 |
| Publishing country | United States |
| Document type | Case Reports |
| ISSN | 1946-9837 |
| ISSN (online) | 1946-9837 |
| DOI | 10.1016/j.tcam.2022.100675 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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