Evidence map›Paper›PMID 35877633›Full record

ArticleJournal of imaging2022

Multimodal Registration for Image-Guided EBUS Bronchoscopy.

Xiaonan Zang, Wennan Zhao, Jennifer Toth, Rebecca Bascom, William Higgins

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Two-phase radial endobronchial ultrasound bronchoscopy registration.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xiaonan ZangSchool of Electrical Engineering and Computer Science, Penn State University, State College, PA 16802, USA.
Wennan ZhaoSchool of Electrical Engineering and Computer Science, Penn State University, State College, PA 16802, USA.ORCID 0000-0002-3153-5134
Jennifer TothPenn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA.
Rebecca BascomPenn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA.
William HigginsSchool of Electrical Engineering and Computer Science, Penn State University, State College, PA 16802, USA.ORCID 0000-0003-4781-9374
Pennsylvania State University · USPenn State Milton S. Hershey Medical Center · US

Funding

Multimodal Image-Guided Intervention System for Lung-Cancer Diagnosis and StagingR01CA151433 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI HIGGINS, WILLIAM EVAN · 2010 to 2022
$3.7M
NCI NIH HHS R01 CA151433NIH HHS R01-CA151433
6 · The paper itself

Abstract

The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope. The EBUS bronchoscope integrates two modalities into one device: (1) videobronchoscopy, which gives video images of the airway walls; and (2) convex-probe EBUS, which gives 2D fan-shaped views of extraluminal structures situated outside the airways. During the procedure, the physician first employs videobronchoscopy to navigate the device through the airways. Next, upon reaching a given node's approximate vicinity, the physician probes the airway walls using EBUS to localize the node. Due to the fact that lymph nodes lie beyond the airways, EBUS is essential for confirming a node's location. Unfortunately, it is well-documented that EBUS is difficult to use. In addition, while new image-guided bronchoscopy systems provide effective guidance for videobronchoscopic navigation, they offer no assistance for guiding EBUS localization. We propose a method for registering a patient's chest CT scan to live surgical EBUS views, thereby facilitating accurate image-guided EBUS bronchoscopy. The method entails an optimization process that registers CT-based virtual EBUS views to live EBUS probe views. Results using lung cancer patient data show that the method correctly registered 28/28 (100%) lymph nodes scanned by EBUS, with a mean registration time of 3.4 s. In addition, the mean position and direction errors of registered sites were 2.2 mm and 11.8∘, respectively. In addition, sensitivity studies show the method's robustness to parameter variations. Lastly, we demonstrate the method's use in an image-guided system designed for guiding both phases of EBUS bronchoscopy.

Indexed as

bronchoscopyendobronchial ultrasoundimage-guided surgery systemsimage registrationlung cancermultimodal imaging

Identifiers

PMID35877633
PMCPMC9320860
OpenAlexW4284897025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.