Articles with "mediastinal tumors" as a keyword



Photo from wikipedia

Surgical approaches, anaesthetic management and outcome in pediatric superior mediastinal tumors.

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of the Egyptian National Cancer Institute"

DOI: 10.1016/j.jnci.2017.08.001

Abstract: BACKGROUND Pediatric superior mediastinal tumors are a heterogeneous group of tumors with marked variation in pathology and extension. We reviewed our experience with different surgical approaches to tumors originating from or extending to superior mediastinum… read more here.

Keywords: surgical approaches; pediatric superior; mediastinal tumors; approaches anaesthetic ... See more keywords
Photo from wikipedia

Clinical manifestation of pediatric mediastinal tumors, a single center experience

Sign Up to like & get
recommendations!
Published in 2019 at "Medicine"

DOI: 10.1097/md.0000000000016732

Abstract: Abstract Medical decisions should be well-planned to improve prognosis and reduce complications of mediastinal tumors. In this study, we analyzed the clinical presentations of pediatric mediastinal tumors and their correlation with long-term clinical outcome. Forty… read more here.

Keywords: svc syndrome; years old; effusion; age ... See more keywords
Photo from wikipedia

Trends, Symptoms, and Outcomes of Resectable Giant Mediastinal Tumors

Sign Up to like & get
recommendations!
Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.820720

Abstract: Describing the changes in surgical procedures and factors affecting the surgical outcome of patients who have undergone complete resection of giant mediastinal tumors (GMTs, diameter ≥ 10 centimeters) could improve preoperative decision-making and prognostic evaluations.… read more here.

Keywords: tumor; outcomes resectable; mediastinal tumors; symptoms outcomes ... See more keywords
Photo by matnapo from unsplash

An MRI-Based Clinical-Perfusion Model Predicts Pathological Subtypes of Prevascular Mediastinal Tumors

Sign Up to like & get
recommendations!
Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics12040889

Abstract: This study aimed to build machine learning prediction models for predicting pathological subtypes of prevascular mediastinal tumors (PMTs). The candidate predictors were clinical variables and dynamic contrast–enhanced MRI (DCE-MRI)–derived perfusion parameters. The clinical data and… read more here.

Keywords: prevascular mediastinal; pathological subtypes; perfusion; model ... See more keywords