• Natalie Joos, Julian Schmidberger, Patrycja Schlingeloff, and Wolfgang Kratzer.
• Zentraler Ultraschall, Klinik für Innere Medizin I, Universitätsklinikum Ulm.
• Dtsch. Med. Wochenschr. 2023 Apr 1; 148 (8): e37e43e37-e43.

PurposeThe purpose of this study was to analyze the diagnostic workflow of patients with alveolar echinococcosis (AE) and to identify possible diagnosis-delaying factors.MethodsThe number and type of diagnostic procedures of patients diagnosed with alveolar echinococcosis were investigated. The disease history was recorded on the basis of questionnaires, the available findings, and data supplements from the hospital information system (SAP). Statistical analyses were performed using SAS version 9.4 and Microsoft Excel version 16.43. The study population of the cross-sectional study included n = 109 patients with confirmed alveolar echinococcosis.ResultsThe definitive diagnosis of alveolar echinococcosis of the liver was made at 26.5 ± 65.0 (mean ± standard deviation) months (min - max: 0 - 344, median = 3). The majority of patients were diagnosed because of incidental imaging findings of the liver (n = 74/109 (67.9%)). A total of n = 56/74 (75.7%) of all incidental findings were diagnosed in an outpatient setting, while n = 15/74 (20.3%) of cases were diagnosed during inpatient hospitalization. On average, 1.1 ± 1.2 (0-11, median = 1) ionizing imaging modalities were used for each patient. Contrast-enhanced sonography was received by 0.3 ± 0.5 (0-2, median = 0) patients. Almost all patients (n = 104/109 (95.4%) had at least one suspected hepatic or extrahepatic malignancy at some time. Exclusion of suspected malignancy occurred at a mean of 4.1 ± 16.5 months (0 -133.8, median = 1).ConclusionsThe diagnostic clarification process of AE patients is lengthy and stressful. The psychological burden of a questionable malignant diagnosis is considerable. Early use of contrast-enhanced sonography and, if necessary, puncture of unclear hepatic masses helps to shorten the difficult diagnostic process.The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

11 keywords...

hide…