Endoscopic Ultrasound最新文献

Background and Objectives 

Radial endobronchial ultrasound (R-EBUS) plays an important role during transbronchial sampling of peripheral pulmonary lesions (PPLs). However, existing navigational bronchoscopy systems provide no guidance for R-EBUS. To guide intraoperative R-EBUS probe manipulation, we aimed to simulate R-EBUS images of PPLs from preoperative computed tomography (CT) data using deep learning.

Materials and Methods 

Preoperative CT and intraoperative ultrasound data of PPLs in 250 patients who underwent R-EBUS–guided transbronchial lung biopsy were retrospectively collected. Two-dimensional CT sections perpendicular to the biopsy path were transformed into ultrasonic reflection and transmission images using an ultrasound propagation model to obtain the initial simulated R-EBUS images. A cycle generative adversarial network was trained to improve the realism of initial simulated images. Objective and subjective indicators were used to evaluate the similarity between real and simulated images.

Results 

Wasserstein distances showed that utilizing the cycle generative adversarial network significantly improved the similarity between real and simulated R-EBUS images. There was no statistically significant difference in the long axis, short axis, and area between real and simulated lesions (all P > 0.05). Based on the experts’ evaluation, a median similarity score of ≥4 on a 5-point scale was obtained for lesion size, shape, margin, internal echoes, and overall similarity.

Conclusions 

Simulated R-EBUS images of PPLs generated by our method can closely mimic the corresponding real images, demonstrating the potential of our method to provide guidance for intraoperative R-EBUS probe manipulation.

The focus of the review is on primary benign mesenchymal pancreatic tumors and their imaging appearance. These tumors are extremely rare. Usually, they are not diagnosed until postoperative histology is available, and so even benign tumors have undergone extensive pancreatic resection. The very limited data on abdominal and EUS findings including contrast-enhanced techniques of these pancreatic lesions are summarized here. Case reports will be presented for some of these rare tumors with application of modern ultrasound and endosonographic techniques.

The diagnosis of early chronic pancreatitis (ECP) is challenging due to the lack of standardized diagnostic criteria. EUS has been considered a sensitive diagnostic modality for chronic pancreatitis (CP), with advancements in technique such as EUS-guided fine needle aspiration and biopsy (EUS-FNA/FNB) being developed. However, their role in the diagnosis of ECP remains unelucidated. This review thereby aimed to provide an overview of the clinical landscape of EUS in the field of ECP.

Background and objectives: EUS is an important modality for diagnosis and assessment of gastrointestinal (GI) subepithelial lesions. However, EUS is invasive and operator-dependent and requires sedation in most cases. The newly developed ultrasound capsule endoscopy (USCE) system, with both white-light and ultrasound imaging modalities, is a minimally invasive method for superficial and submucosal imaging of the esophagus. This animal study aimed to evaluate the feasibility and efficacy of the USCE system for upper GI tract and small bowel scanning.

Methods: Three Bama miniature pigs were selected to scan their esophagus, stomach, small bowel, and simulated submucosal lesions. USCE was performed first, followed by EUS. The feasibility of USCE was measured by obtaining ultrasound images of normal GI walls and submucosal lesions under the guidance of optical viewing. The efficacy of USCE was evaluated by comparing tissue structures and lesion features shown on ultrasound images obtained with both instruments.

Results: Under the optical mode of USCE, the GI tract was well visualized, and all simulated lesions were located. Clear ultrasound images of normal GI tract and submucosal lesions were acquired. Ultrasound images of the esophagus, stomach, and small bowel were characterized by differentiated multilayer structures on USCE, which was consistent with the structures displayed on EUS. And the visualization of submucosal lesions, using both USCE and EUS, was characterized by a hypoechoic and well-demarcated mass in the layer of submucosa.

Conclusions: This animal study indicated the feasibility and potential clinical efficacy of this USCE for simultaneous optical mucosal visualization and transmural ultrasound imaging of upper GI tract and small bowel, providing possibility of using this technology for a wider range of GI tract.

Background and objectives: Citation analysis is a fundamental method in bibliometrics for quantifying the impact and contribution of articles on a specific biomedical field. The purpose of our study was to identify and analyze the top 100 cited articles in the field of EUS.

Methods: All published articles in the field of EUS were searched by using "endoscopic ultrasound" and its synonyms as the search terms without time limit. The Institute for Scientific Information Web of Science Core database was searched to determine the citations. The top 100 cited articles were identified and further evaluated for characteristics including publication year, authors, journals, impact factor, countries, institutions, article type, topic term, and evidence grade, among others.

Results: A total of 430 articles were cited more than 100 times. The 100 most-cited articles were published between 1988 and 2018, and the medium citation was 240.5 (104.25). The top 100 cited articles mainly focused on diagnostic performance (80%) and interventional therapy (20%). The numbers of articles studying the diagnostic accuracy of FNA (n = 29) and tumor diagnosis (n = 29) were the highest among research articles on FNA and EUS of diagnostic categories, and EUS transluminal drainage (n = 14) was the most frequently used EUS technique for therapy. The focus of the majority of the articles was on diseases of pancreas (n = 55), and among the 55 articles related to pancreatic diseases, pancreatic cancer (n = 17) and solid pancreatic masses (n = 13) were the most researched topics. In addition, we found that the proportions of diagnostic and treatment-related articles at different time periods have statistical significance (P < 0.05).

Conclusions: Our analysis provides an insight into the top 100 articles in the field of EUS, revealing EUS-guided FNA, tumor staging, and transluminal drainage as the major advances in the past 35 years. Pancreatic diseases were the most researched, especially pancreatic cancer or solid pancreatic masses. Our research has found that the number of articles on the application of EUS treatment has significantly increased.

Background and objectives: Detective flow imaging EUS (DFI-EUS) is a new technology that detects fine vessels and low-flow velocity without contrast agents, used in real time during EUS, with a better resolution compared to usual technologies such as color Doppler and eFLOW. The aim of this study was to compare DFI-EUS with contrast-enhanced EUS (CE-EUS) for the evaluation of vascularization in solid pancreatic lesions.

Methods: We included patients who had a pancreatic mass visualized by EUS, with recorded images of their assessment in DFI-EUS and CE-EUS techniques and a histological diagnosis confirmed malignant tumors or a minimum of 1-year follow-up for benign lesions.

Results: Of the 107 patients included in this retrospective single-center study, the histological diagnosis revealed 69 cases (64.5%) of pancreatic adenocarcinoma, 18 cases (16.8%) of neuroendocrine tumors (NETs), and 10 cases (9.3%) of metastases from nonpancreatic cancers. A smaller proportion (9.4%) exhibited other lesions. As a result, the incidence of intralesional microvascularization was 43.9% with DFI-EUS and 48.6% with CE-EUS, indicating a positive correlation between the 2 techniques (P = 0.0001). Compared to CE-EUS, DFI-EUS exhibited sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 88.5%, 98.2%, 97.9%, and 90%, respectively, for the detection of intralesional vessels.

Conclusions: The novel technique DFI-EUS demonstrates a remarkable correlation with CE-EUS, exhibiting high sensitivity and specificity for the assessment of microvascularization in solid pancreatic lesions. This method eliminates the need for a contrast agent, thus carrying no risk of adverse effects.