Evidence map›Paper›PMID 41076493›Full record

ArticleAnnals of biomedical engineering2025

Surgical Process Modeling of Workflow and Performance in Image-Guided Bronchoscopy.

Tatiana A Rypinski, Roberto F Casal, Parvathy S Pillai, Anshuj Deva, Bhavin Soni, Owais Sarwar, Aaron C Milhorn, Aaron K Jones, Gouthami Chintalapani, Gerhard Kleinszig and 3 more

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Article in Annals of biomedical engineering, 2025. 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

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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. Article
4 · The record

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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

13 authors.

Tatiana A RypinskiDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Roberto F CasalDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6167-475X
Parvathy S PillaiDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-5160-1621
Anshuj DevaDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0009-0007-7474-9961
Bhavin SoniDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Owais SarwarDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Aaron C MilhornDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Aaron K JonesDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8245-8573
Gouthami ChintalapaniSiemens Healthineers, Forchheim, Germany.ORCID http://orcid.org/0000-0001-5087-4062
Gerhard KleinszigSiemens Healthineers, Forchheim, Germany.
David E OstDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-6351-5552
Horiana B GrosuDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2384-4268
Jeffrey H SiewerdsenDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. JHSiewerdsen@mdanderson.org.ORCID http://orcid.org/0000-0001-6644-1317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEmerging technologies to improve transbronchial sampling of lung lesions include mobile C-arm cone-beam CT (CBCT) and robotic assistance. Surgical Process Modeling (SPM) was used to quantify performance in such procedures performed using a conventional bronchoscope with guidance via 2D fluoroscopy and radial probe endobronchial ultrasound (RP-EBUS) ("Conventional Bronchoscopy") compared to robot-assisted bronchoscopy with CBCT guidance ("CBCT-Guided RAB").

methodStatistical SPMs were implemented for Conventional Bronchoscopy and CBCT-Guided RAB for simulation and analysis of procedural outcomes, including cycle time, radiation dose, and geometric accuracy. The SPMs were parameterized and validated with respect to clinical observation, published literature, and expert input. 9000 simulation runs were computed for each method, analyzing differences in performance and evaluating the influence of body mass index (BMI), lesion location (upper, middle, or lower lobe), and lesion size.

resultsThe SPMs exhibited reasonable agreement with retrospective clinical evaluation of cycle time and dose, and variations in geometric accuracy were consistent with clinical literature. CBCT-Guided RAB resulted in a 14% increase in median cycle time (45.3 min) compared to Conventional Bronchoscopy (39.6 min) and increased median dose to the patient by 3.2 × (41.6 Gy cm

conclusionsSPMs yielded quantitative performance comparison in lung lesion biopsy by conventional and robot-assisted bronchoscopy. The approach quantified increases in cycle time and dose for CBCT-Guided RAB, accompanied by substantial gains in geometric accuracy. Such modeling provided valuable insight on the benefits of emerging technologies at early stages of implementation and a means to optimize and standardize clinical workflow.

Indexed as

BronchoscopyCone-Beam Computed TomographyModels, BiologicalWorkflowHumansBronchoscopyImage guidanceImplementation scienceOptimizationSurgical process model

Identifiers

PMID41076493

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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.