The Effect of Hounsfield Unit Value on the Differentiation of Malignant/Benign Mediastinal Lymphadenopathy and Masses Diagnosed by Endobronchial Ultrasonography

While positron emission tomography maintains its importance in the differentiation of mediastinal lymphadenopathy and masses from malignant to non-malignant, it was concluded that HU values in computed tomography are not sufficient to distinguish malignant/non-malignant.

Authors

Institutions

Publication Details

Journal
Cancer Management and Research
Published
2024-08-01
DOI
https://doi.org/10.2147/cmar.s473653
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Hounsfield Unit Value on the Differentiation of Malignant/Benign Mediastinal Lymphadenopathy and Masses Diagnosed by Endobronchial Ultrasonography

Esra Arslan Aksu, Levent Özdemir, Ahmet Cemal Pazarlı, Savaş Gegin et al.
2 citations
Cancer Management and Research
Radiomics and Machine Learning in Medical Imaging
0.81
article

The Effect of Hounsfield Unit Value on the Differentiation of Malignant/Benign Mediastinal Lymphadenopathy and Masses Diagnosed by Endobronchial Ultrasonography

Esra Arslan Aksu, Levent Özdemir, Ahmet Cemal Pazarlı, Savaş Gegin, Burcu Özdemir
article en
2 citations

Abstract

While positron emission tomography maintains its importance in the differentiation of mediastinal lymphadenopathy and masses from malignant to non-malignant, it was concluded that HU values in computed tomography are not sufficient to distinguish malignant/non-malignant.

Cancer Management and ResearchVol. Volume 16
Tokat Gaziosmanpaşa Üniversitesi (TR), Samsun University (TR)
Zero hunger, Good health and well-being
Openalex Percentile: Top 26%
Radiomics and Machine Learning in Medical Imaging
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.