Aim: The applicability of ultrasound for diagnosing mediastinal diseases is limited by the surrounding thorax containing air and bone, permitting only restricted echo windows. Transoesophageal endoscopic ultrasound circumvents this problem and provides good visualisation of nearly all parts of the mediastinum. We evaluated the value of endoscopic ultrasonography for mediastinal staging of Hodgkin's and non-Hodgkin lymphoma patients.
Patients And Methods: From August 1994 to July 1995 36 Hodgkin's and non-Hodgkin lymphoma patients underwent clinical staging and were endosonographically examined for mediastinal involvement. CT in the spiral technique was used as the reference.
Results: In assessing mediastinal involvement, endoscopic ultrasound revealed a sensitivity of 96% and a specificity of 75%. There were limitations in the right paratracheal region and the area lateral to the aortic arch.
Conclusion: Endoscopic ultrasound is a highly valuable imaging procedure for diagnosing mediastinal spread of malignant lymphomas and has interesting potentials in assessing the clinical course during therapy.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1055/s-2007-1000520 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Force-Sensor-Less Approach for Rapid Young's Modulus Identification of Heterogeneous Soft Tissue.
J Biomech Eng
January 2025
State Key Laboratory of Fluid Power and Mechatronic Systems, Department of Mechanical Engineering, Zhejiang University, Hangzhou, 315000, China.
Due to individual differences, accurate identification of tissue elastic parameters is essential for biomechanical modeling in surgical guidance for hepatic venous injections. This paper aims to acquire the absolute Young's modulus of heterogeneous soft tissues during endoscopic surgery with 2D ultrasound images. First, we introduced a force-sensor-less approach that utilizes a pre-calibrated soft patch with a known Young's modulus and its ultrasound images to calculate the external forces exerted by the probe on the tissue.
View Article and Find Full Text PDFConcerns about needle tract seeding after endoscopic ultrasound-guided tissue acquisition: A possibility not limited to pancreatic body and tail cancer.
J Hepatobiliary Pancreat Sci
January 2025
Department of Gastroenterology, Shizuoka General Hospital, Shizuoka, Japan.
Endoscopic submucosal dissection in the treatment of adult cystic lymphangioma: A case report.
World J Gastrointest Surg
January 2025
Department of Gastroenterology, The Affiliated Hospital, Southwest Medical University, Luzhou 646000, Sichuan Province, China.
Background: Cystic lymphangioma is a rare hamartoma that is especially found in the adult gastrointestinal tract. In the early stage, most patients are asymptomatic; after the onset of symptoms, there is often no specificity regarding symptoms.
Case Summary: Here we report the endoscopic diagnosis and treatment of an adult patient with cystic lymphangioma of the ascending colon.
Utility and clinical significance of endoscopic ultrasound-guided tissue acquisition for diagnosing lymphadenopathies in biliary tract cancer.
Sci Rep
January 2025
Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita City, Osaka, Japan.
Lymph node sampling with endoscopic ultrasound fine needle aspiration (EUS-FNA) may affect treatment options for biliary tract cancers. Our aim is to clarify its utility and clinical significance and the factors associated with FNA cytology positivity. Seventy-one consecutive patients with biliary tract cancer who underwent EUS-FNA to diagnose lymphadenopathies from April 2012 to July 2021 were enrolled retrospectively.
View Article and Find Full Text PDFAn endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer.
Sci Rep
January 2025
Gastroenterology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a cohort of 266 patients, comprising 115 individuals diagnosed with PNETs and 151 with pancreatic cancer. These patients were randomly assigned to the training or test group in a 7:3 ratio.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!