A CT-based radiomics predictive nomogram to identify pulmonary tuberculosis from community-acquired pneumonia: a multicenter cohort study

This study developed a clinical radiomics model that uses radiomics features to identify PTB from CAP. This model provides valuable guidance to clinicians in identifying PTB.

Authors

Institutions

Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2024-09-19
DOI
https://doi.org/10.3389/fcimb.2024.1388991
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A CT-based radiomics predictive nomogram to identify pulmonary tuberculosis from community-acquired pneumonia: a multicenter cohort study

Jiling Wang, Sijing Zhou, Xingwang Wu, Min Tang et al.
3 citations
Frontiers in Cellular and Infection Microbiology
Radiomics and Machine Learning in Medical Imaging
1.21
article

A CT-based radiomics predictive nomogram to identify pulmonary tuberculosis from community-acquired pneumonia: a multicenter cohort study

Jiling Wang, Sijing Zhou, Xingwang Wu, Min Tang, Ran Wang, Min Li, Pulin Li, Rui Han
article en
3 citations

Abstract

This study developed a clinical radiomics model that uses radiomics features to identify PTB from CAP. This model provides valuable guidance to clinicians in identifying PTB.

Frontiers in Cellular and Infection MicrobiologyVol. 14
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Hefei Infectious Disease Hospital (CN)
Anhui Medical University, Soochow University
Reduced inequalities
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.21
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.

A CT-based radiomics predictive nomogram to identify pulmonary tuberculosis from community-acquired pneumonia: a multicenter cohort study — Jiling Wang, Sijing Zhou, et al. · Frontiers in Cellular and Infection Microbiology (2024) | TGRS Research Map | TGRS