Evidence map›Paper›PMID 27793401›Full record

ArticleThe Annals of thoracic surgery2017

Near-Infrared Intraoperative Molecular Imaging Can Locate Metastases to the Lung.

Jane Keating, Andrew Newton, Ollin Venegas, Sarah Nims, Ryan Zeh, Jarrod Predina, Charuhas Deshpande, John Kucharczuk, Shuming Nie, E James Delikatny and 1 more

Abstract read
In one paragraph

Article in The Annals of thoracic surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jane KeatingDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Andrew NewtonDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Ollin VenegasDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Sarah NimsDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Ryan ZehDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Jarrod PredinaDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Charuhas DeshpandeDepartment of Pathology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
John KucharczukDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Shuming NieDepartments of Biomedical Engineering and Chemistry, Emory University, Atlanta, Georgia.
E James DelikatnyDepartment of Radiology, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania.
Sunil SinghalDivision of Thoracic Surgery, Department of Surgery, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania; Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania. Electronic address: sunil.singhal@uphs.upenn.edu.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Contrast-Enhanced and Image-Guided Surgery of Lung CancerR01CA163256 · NCI · EMORY UNIVERSITY · PI JO, HANJOONG, SINGHAL, SUNIL · 2011 to 2015
$6.5M
Near infrared intraoperative molecular imaging of lung adenocarcinomaR01CA193556 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LOW, PHILIP STEWART, SINGHAL, SUNIL · 2016 to 2020
$3.3M
NCI NIH HHS R01 CA163256NCI NIH HHS R01 CA193556
6 · The paper itself

Abstract

backgroundPulmonary metastasectomy is widely accepted for many tumor types because it may prolong survival and potentially cure some patients. However, intraoperative localization of pulmonary metastases can be technically challenging. We propose that intraoperative near-infrared (NIR) molecular imaging can be used as an adjunct during disease localization.

methodsWe inoculated 50 C57BL/6 mice with Lewis lung carcinoma (LLC) flank tumors. After flank tumor growth, mice were injected through the tail vein with indocyanine green (ICG) before operation, and intraoperative imaging was used to detect pulmonary metastases. On the basis of these experiments, we enrolled 8 patients undergoing pulmonary metastasectomy into a pilot and feasibility clinical trial. Each patient received intravenous ICG 1 day before operation, followed by wedge or segmental resection. Samples were imaged on the back table with an NIR camera to confirm disease presence and margins. All murine and human tumors and margins were confirmed by pathologic examination.

resultsMice had an average of 4 ± 2 metastatic tumors on both lungs, with an average size of 5.1 mm (interquartile range [IQR] 2.2 mm to 7.6 mm). Overall, 200 of 211 (95%) metastatic deposits were markedly fluorescent, with a mean tumor-to-background ratio (TBR) of 3.4 (IQR 3.1 to 4.1). The remaining tumors had a TBR below 1.5. In the human study, intraoperative NIR imaging identified six of the eight preoperatively localized lesions. Intraoperative back table NIR imaging identified all metastatic lesions, which were confirmed by pathologic examination. The average tumor size was 1.75 ± 1.4 cm, and the mean ex vivo TBR was 3.3 (IQR 3.1 to 3.7). Pathologic examination demonstrated melanoma (n = 4), osteogenic sarcoma (n = 2), renal cell carcinoma (n = 2), chondrosarcoma (n = 1), leiomyosarcoma (n = 1), and colorectal carcinoma (n = 1).

conclusionsSystemic ICG identifies subcentimeter tumor metastases to the lung in murine models, and this work provides proof of principle in humans. Future research is focused on improving depth of penetration into the lung parenchyma.

Indexed as

Neoplasms, ExperimentalAnimalsFeasibility StudiesFemaleHumansIntraoperative PeriodLung NeoplasmsMiceMice, Inbred C57BLMolecular ImagingNeoplasm MetastasisPilot ProjectsPneumonectomyRetrospective StudiesSpectroscopy, Near-Infrared

Identifiers

PMID27793401
PMCPMC11024498

What OpenQuestion holds

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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.