Evidence map›Paper›PMID 42548431›Full record

ArticleCHEST pulmonary2026

Investigating Partial Registration for Optimizing Robotic-Assisted Bronchoscopy Evaluations of Peripheral Lung Nodules (I-PROBE).

Bryce Duchman, Jaskiran K Khosa, Liqin Xu, Niral M Patel, Jorge A Munoz Pineda, Keriann Van Nostrand, Russell J Miller, Ara A Chrissian, George Z Cheng

Abstract read
In one paragraph

Article in CHEST pulmonary, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Bryce DuchmanSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Jaskiran K KhosaDivision of Pulmonary, Critical Care, Hyperbaric, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA.
Liqin XuSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Niral M PatelSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Jorge A Munoz PinedaSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Keriann Van NostrandSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Russell J MillerSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.
Ara A ChrissianDivision of Pulmonary, Critical Care, Hyperbaric, and Sleep Medicine, Loma Linda University Health, Loma Linda, CA.
George Z ChengSection of Interventional Pulmonology, Bronchoscopy, and Pleural Diseases, Division of Pulmonary, Critical Care, & Sleep Medicine, UC San Diego Health, La Jolla, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted bronchoscopy has transformed the diagnostic approach to lung cancer by improving access to peripheral pulmonary lesions (PPLs). Among these platforms, shape-sensing robotic-assisted bronchoscopy (ssRAB) relies on registration techniques to align virtual airway maps with patient anatomy. However, conventional full registration may not be essential for optimal accuracy and potentially add unnecessary time. We evaluated the novel technique of partial registration and assessed its feasibility and efficacy during ssRAB. Research Question: During ssRAB, how does partial registration impact the technical accuracy in targeting PPLs compared to full registration? Study Design and Methods: A prospective comparative study was conducted on 22 patients undergoing ssRAB for tissue diagnosis of PPLs < 2 cm in size. The accuracy of lesion localization was determined by the target center distance (TCD), which is the difference between the plan's predicted target center after registration and the intraprocedural cone-beam CT target center. The mean TCD values were calculated for full and partial registration techniques and compared. Results: There was significant improvement in TCD with partial registration over full registration. Specifically, for full registration, the mean TCD was 9.23 mm. In contrast, partial registration achieved a mean TCD of 7.00 mm, suggesting enhanced accuracy with the partial registration technique ( Interpretation: Our results indicate that partial registration offers a feasible and efficient alternative for targeting small PPLs during ssRAB. These findings suggest that the full registration may not be necessary, because partial registration demonstrates comparable lesion localization accuracy-and possibly superior in certain cases. Further research is warranted to confirm these technical advantages and to confirm whether they translate into improved diagnostic outcomes.

Indexed as

CT to body divergencefull registrationNavigational bronchoscopypartial registrationregistration techniquesrobotic bronchoscopy

Identifiers

PMID42548431
PMCPMC13418351

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.