Appendicular mucinous neoplasms are a collection of rare tumors with diverse clinical presentations and pathologic potential, which can cause diagnostic and therapeutic challenges. Traditionally, they are diagnosed by radiologic imaging or identified intraoperatively; however, rarely, they may be diagnosed during an endoscopic procedure. In this unusual case, we present the case of a 62-year-old Caucasian male undergoing routine surveillance colonoscopy due to a history of colonic neoplasia. During the colonoscopy, a submucosal, non-bleeding 1cm mass of benign appearance was found in the appendix. Further workup determined the mass was likely a mucocele, and surgical consultation was recommended. The patient denied any symptoms suggestive of a mucinous neoplasm prior to and during evaluation. A laparoscopic appendectomy was subsequently performed, and the histopathology report confirmed the diagnosis of a lowgrade appendiceal mucinous neoplasm. The patient recovered without complications and continued to deny any symptoms during his postoperative course and follow-up care. Given their rare incidence and unpredictable nature, appendiceal mucinous neoplasms remain difficult to identify. Discovering a low-grade mucinous neoplasm in an asymptomatic patient via colonoscopy illustrates the spectrum of unique presentations and modalities for diagnosis.
The purpose of this project is to design a system that is capable of locating and tracking a soccer ball during a normal soccer game. The necessary algorithms for this system accurately distinguish between stationary and moving objects in a stream of video frames and are able to consistently detect which of these moving objects is the soccer ball. The system is aware of the position of the soccer ball at all times. From the coordinates of the ball at a given time, the system is able to estimate where the ball will be located in the next few consecutive frames so as to ease the difficulty of tracking it. The resulting data can then be used to control a camera that will cover the action of the game, or to analyze the game afterwards.
Appendiceal mucinous neoplasms are a collection of rare tumors with diverse clinical presentations and pathologic potential, which can pose diagnostic and therapeutic challenges. Generally, these neoplasms are either diagnosed by radiologic imaging or identified during surgery; however, they may be rarely diagnosed during an endoscopic procedure. In this case report, we present the rare case of a 62-year-old white male who was undergoing routine surveillance colonoscopy for a history of colonic neoplasia. During the colonoscopy, a submucosal, nonbleeding, 1-cm mass of benign appearance was observed in the appendix. Further workup suggested that the mass could be a mucocele, and hence surgical consultation was recommended. The patient denied any symptoms suggestive of a mucinous neoplasm prior to or during the evaluation. A laparoscopic appendectomy was subsequently performed, and the histopathology reports confirmed the diagnosis of a low-grade appendiceal mucinous neoplasm. The patient recovered without any complications and continued to deny any symptoms during his postoperative course and follow-up care. The identification of appendiceal mucinous neoplasms remains difficult because of their rare incidence and unpredictable nature. The wide spectrum of unique presentations and modalities for diagnosis is illustrated by discovering a low-grade mucinous neoplasm in an asymptomatic patient via colonoscopy. Number of similar cases published: Nil
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.