Evidence map›Paper›PMID 36090642›Full record

ArticleTranslational lung cancer research2022

First-in-human results of targeted intraoperative molecular imaging for visualization of ground glass opacities during robotic pulmonary resection.

Gregory T Kennedy, Feredun S Azari, Elizabeth Bernstein, Isvita Marfatia, Azra Din, Charuhas Deshpande, Nikki Galvis, Jonathan Sorger, John C Kucharczuk, Sunil Singhal

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2022. 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
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Gregory T KennedyDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Feredun S AzariDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Elizabeth BernsteinDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Isvita MarfatiaDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Azra DinDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Charuhas DeshpandeDepartment of Pathology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Nikki GalvisIntuitive Surgical, Sunnyvale, CA, USA.
Jonathan SorgerIntuitive Surgical, Sunnyvale, CA, USA.
John C KucharczukDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Sunil SinghalDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
University of Pennsylvania · USIntuitive Surgical (United States) · US

Funding

SURGICAL ONCOLOGY RESEARCH TRAINING PROGRAMT32CA009501 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Babak J Mehrara · 1985 to 2026
$7.7M
NCI NIH HHS T32 CA009501
6 · The paper itself

Abstract

Background: Identifying ground glass opacities (GGOs) is challenging during robot-assisted thoracic surgery (RATS). Intraoperative molecular imaging (IMI) using tumor-targeted fluorescent tracers may address this clinical problem, but has never been evaluated in RATS. In a pilot study, we sought to determine whether IMI during RATS (RIMI) can localize GGOs. Methods: Ten patients with a cT1 GGO were enrolled. Prior to resection, participants received a folate-receptor targeted fluorescent tracer (OTL38). During RATS, a white-light robotic scope was utilized to identify tumors. RIMI was then conducted using a RATS thoracoscope with a wavelength-specific camera. Finally, a video-assisted thoracic surgery (VATS) thoracoscope designed to detect OTL38 was used as a control to compare to RIMI. The lesions were then resected under RIMI guidance. Results: By white-light robotic scope, 7/10 (70%) GGOs were visually identifiable by pleuroparenchymal distortions. RIMI identified tumor-specific fluorescence in all (100%) subjects. RIMI clearly located the three nodules that could not be seen by robotic white-light imaging. The mean fluorescence intensity (MFI) of tumors was 99.48 arbitrary units (A.U.) (IQR, 75.72-130.49 A.U.), which was significantly higher than background tissue with mean MFI 20.61 A.U. (IQR, 13.49-29.93 A.U., P<0.0001). Mean signal-to-background ratio was 5.71 (range, 2.28-10.13). When compared to VATS-IMI as a control, there were no significant differences in MFI of tumors, background tissue, or signal-to-background ratios. In summary, RIMI compared favorably to VATS-IMI by all measured imaging characteristics. Conclusions: RIMI is feasible for identification of GGOs during robotic resection as compared to white light thoracoscopy and compares favorably to VATS-IMI.

Indexed as

Intraoperative molecular imaging (IMI)lung cancerrobotic surgery

Identifiers

PMID36090642
PMCPMC9459620
OpenAlexW4289720617

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.