Evidence map›Paper›PMID 42116052›Full record

ArticleRespiratory research2026

Robotic-assisted bronchoscopy-guided cryobiopsy for the diagnosis of ground-glass opacity-predominant peripheral pulmonary nodules.

Chunxi Zhang, Fangfang Xie, Houteng Xi, Shuaiyang Liu, Lijun Yan, Du Xu, Jiayuan Sun

Abstract read
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Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Chunxi Zhang *Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Fangfang Xie *Department of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Houteng XiDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shuaiyang LiuDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lijun YanDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Du XuDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiayuan SunDepartment of Respiratory Endoscopy, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. xkyyjysun@163.com.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0529300Shanghai Hospital Development Center Foundation SHDC12022109
6 · The paper itself

Abstract

backgroundThe combination of shape-sensing robotic-assisted bronchoscopy (ssRAB) and cryobiopsy may improve the diagnostic yield of ground-glass opacities (GGOs). However, the literature on this approach is limited. This study aims to assess the diagnostic yield and safety of ssRAB integrated with mobile cone-beam computed tomography (CBCT)-guided cryobiopsy for GGO-predominant peripheral pulmonary nodules (PPNs).

methodsThis is a single-center retrospective study of patients suspected to have malignant GGO-predominant PPNs (consolidation-to-tumor ratio ≤ 0.5) who underwent ssRAB integrated with mobile CBCT-guided cryobiopsy between November 2024 and June 2025 at Shanghai Chest Hospital. Clinicodemographic data, nodule characteristics, procedure details, diagnostic performance, and complications were analyzed. The primary efficacy outcome was the diagnostic yield. The primary safety outcome was procedure-related and device-related complications.

resultsA total of 55 nodules were biopsied in 40 patients. The mean patient age was 59.2 years, and 75.0% were female. The median nodule size was 12.0 mm (interquartile range, 9.9-16.0) in the largest dimension. Thirty-six nodules were pure GGOs and 19 were mixed GGOs, with 94.5% of nodules lacking a bronchus sign. A tunnel to the target lesion was created in 74.5% of the nodules. The per-nodule diagnostic yield was 87.3%. There were no episodes of major bleeding or pneumothorax. Cryobiopsy provided specimens sufficient for assessment of programmed death-ligand 1 (PD-L1) expression in 11 (84.6%) of 13 patients tested and for genetic testing in all 16 patients (100%) in which it was attempted.

conclusionsssRAB integrated with mobile CBCT-guided cryobiopsy had a high diagnostic yield for GGO-predominant PPNs with a favorable safety profile. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

BronchoscopyCryosurgeryImage-Guided BiopsyLung NeoplasmsMultiple Pulmonary NodulesRobotic Surgical ProceduresSolitary Pulmonary NoduleAgedCone-Beam Computed TomographyFemaleHumansMaleMiddle AgedRetrospective StudiesCone-beam computed tomographyCryobiopsyDiagnosisGround-glass opacityRobotic-assisted bronchoscopy

Identifiers

PMID42116052
PMCPMC13412300

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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.