Evidence map›Paper›PMID 39991293›Full record

ArticleJTCVS techniques2025

Three-dimensional virtual lung reconstruction in robotic segmentectomy: A safety and feasibility trial.

Ikennah L Browne, Yogita S Patel, Nader M Hanna, Ehsan Haider, Waël C Hanna

Abstract read
In one paragraph

Article in JTCVS techniques, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Robotic Thoracic Surgery: Current Landscape and Future Directions.Interdisciplinary cardiovascular and thoracic surgery · 2026
    Review
  4. Article
  5. Article
  6. 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

5 authors.

Ikennah L BrowneDivision of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Yogita S PatelDivision of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Nader M HannaDivision of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Ehsan HaiderDepartment of Radiology, McMaster University, Hamilton, Ontario, Canada.
Waël C HannaDivision of Thoracic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Robotic pulmonary segmental resection is a technically challenging procedure. Near-infrared fluorescence mapping with intravascular indocyanine green dye is a valuable adjunct; however, conversion to lobectomy still occurs in up to 40% of cases. We hypothesized that the incorporation of 3-dimensional virtual lung reconstruction would result in low rates of conversion from segmentectomy to lobectomy and increased confidence in the surgical plan. Methods: A prospective single-center cohort trial was conducted to determine the safety and feasibility of this approach. Patients undergoing robotic segmentectomy for clinical stage I non-small cell lung cancer less than 3 cm were enrolled, and 3-dimensional reconstruction was performed with confidence scores assigned before and after 3-dimensional reconstruction. Adverse events, rates of conversion to lobectomy, and changes in confidence scores were recorded and analyzed. Results: A total of 79 patients were enrolled from December 2022 to April 2024, and 76 patients (96.20%) underwent surgery. Three-dimensional reconstruction was successfully performed in 88.16% (67/76) of cases, and indocyanine green dye was used in 68.66% (46/67) with no adverse events related to its use. The 30-day mortality was 1.49% (1/59). The majority of patients (80.60%; 54/67) underwent a successful segmentectomy, whereas 8.96% (6/67) of cases were converted to lobectomy after segmentectomy was started. The planned operation was modified after 3-dimensional reconstruction in 36.07% (22/61) of cases leading to a significant increase in confidence scores ( Conclusions: Three-dimensional lung reconstruction in targeted robotic segmental resection is associated with low rates of conversion to lobectomy and increased surgeon confidence. Further studies are warranted to establish the effectiveness of this technique.

Indexed as

3D virtual lung reconstructionfluorescence mappingintravascular indocyanine greensegmentectomytargeted robotic pulmonary segmental resection

Identifiers

PMID39991293
PMCPMC11845381

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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.