RA07.04: DIAGNOSTIC UTILITY OF ENDOBRONCHIAL ULTRASONOGRAPHY FOR THE TRACHEOBRONCHIAL INVASION OF ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 35-35
Author(s):  
Takeshi Nishino ◽  
Takahiro Yoshida ◽  
Seiya Inoue ◽  
Masakazu Goto ◽  
Akira Tangoku

Abstract Background Preoperative precise diagnosis of invasion to the trachea and bronchi from advanced esophageal cancer is important to estimate the prognosis and resectability. But it is difficult to diagnose the invasion to the tracheobronchial adventitia by conventional examination, like CT scan, MRI, bronchoscopy, etc. The purpose of this study is to clarify the diagnostic utility of endobronchial ultrasonography (EBUS) for the invasion to the trachea and bronchi of esophageal cancer. Methods We examined the diagnostic utility of EBUS in cadaver, by comparing echoic image and actual tracheobronchial structure using tracheal invasion model. The model was made by cauterizing adventitia with the electrical scalpel. The cancer image model was made by injecting the agarose gel into esophageal muscular layer. And we also examined for clinical T3 or T4b esophageal cancer cases using EBUS for the diagnosis of tracheobronchial invasion. Results Normal image of tracheal wall was shown as three layers (high-low-high echoic layers) by EBUS. Echoic image of the tracheal invasion model in cadaver showed disappearance of the deepest high echoic layer. Histological examination proved interruption of tracheal adventitia by cauterization. Echoic image of tumor image model showed disappearance of the deepest high echoic layer and clearly observed tumor like agarose gel through the tracheal wall. These indicated the deepest high echoic layer correspond with the tracheal adventitia layer. EBUS could be visualized esophageal cancer invasion to the tracheobronchial adventitia. We performed EBUS for 32 cases of T3 or T4b esophageal cancer had been suspected the tracheobronchial invasion. 9 cases were diagnosed as T3 without invasion to the trachea or bronchi and received neo-adjuvant therapy following surgery, and all cases of these were confirmed precise diagnosis of EBUS in histological findings. 23 cases were diagnosed as T4b with invasion to the trachea or bronchi and received definitive chemo-radiation, and one patient received esophagectomy and pharyngolaryngectomy for salvage surgery and also confirmed accuracy of preoperative diagnosis using EBUS in histological findings. Conclusion EBUS is useful to diagnose the tracheobronchial invasion of esophageal cancer. Precise diagnosis of the tracheobronchial invasion using EBUS will help us to perform R0 resection and improve the prognosis of cT4b esophageal cancer. Disclosure All authors have declared no conflicts of interest.

2013 ◽  
Vol 96 (1) ◽  
pp. 232-238 ◽  
Author(s):  
Moishe Liberman ◽  
Nawar Hanna ◽  
André Duranceau ◽  
Vicky Thiffault ◽  
Pasquale Ferraro

2020 ◽  
Vol 56 (1) ◽  
pp. 68
Author(s):  
Jong Eun Lee ◽  
Yun-Hyeon Kim ◽  
Hyo Hyun Shin ◽  
Won Gi Jeong ◽  
Kook Ju Na

Respirology ◽  
2016 ◽  
Vol 21 (6) ◽  
pp. 1100-1105 ◽  
Author(s):  
Kei Kunimasa ◽  
Motoko Tachihara ◽  
Daisuke Tamura ◽  
Shuntaro Tokunaga ◽  
Kyosuke Nakata ◽  
...  

Author(s):  
P.J. Phillips ◽  
J. Huang ◽  
S. M. Dunn

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.


2016 ◽  
Vol 1 (13) ◽  
pp. 169-176
Author(s):  
Lisa M. Evangelista ◽  
James L. Coyle

Esophageal cancer is the sixth leading cause of death from cancer worldwide. Esophageal resection is the mainstay treatment for cancers of the esophagus. While curative, surgical resection may result in swallowing difficulties that require intervention from speech-language pathologists (SLPs). Minimally invasive surgical procedures for esophageal resection have aimed to reduce morbidity and mortality associated with more invasive techniques. Both intra-operative and post-operative complications, regardless of the surgical approach, can result in dysphagia. This article will review the epidemiological impact of esophageal cancers, operative complications resulting in dysphagia, and clinical assessment and management of dysphagia pertinent to esophageal resection.


2017 ◽  
Vol 2 (15) ◽  
pp. 9-23 ◽  
Author(s):  
Chorong Oh ◽  
Leonard LaPointe

Dementia is a condition caused by and associated with separate physical changes in the brain. The signs and symptoms of dementia are very similar across the diverse types, and it is difficult to diagnose the category by behavioral symptoms alone. Diagnostic criteria have relied on a constellation of signs and symptoms, but it is critical to understand the neuroanatomical differences among the dementias for a more precise diagnosis and subsequent management. With this regard, this review aims to explore the neuroanatomical aspects of dementia to better understand the nature of distinctive subtypes, signs, and symptoms. This is a review of English language literature published from 1996 to the present day of peer-reviewed academic and medical journal articles that report on older people with dementia. This review examines typical neuroanatomical aspects of dementia and reinforces the importance of a thorough understanding of the neuroanatomical characteristics of the different types of dementia and the differential diagnosis of them.


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