A clinical trial of intraoperative near-infrared imaging to assess tumor extent and identify residual disease during anterior mediastinal tumor resection.


Journal

Cancer
ISSN: 1097-0142
Titre abrégé: Cancer
Pays: United States
ID NLM: 0374236

Informations de publication

Date de publication:
01 03 2019
Historique:
received: 17 05 2018
revised: 19 08 2018
accepted: 23 08 2018
pubmed: 19 12 2018
medline: 4 12 2019
entrez: 19 12 2018
Statut: ppublish

Résumé

The management of most solid tumors of the anterior mediastinum involves complete resection. Because of their location near mediastinal structures, wide resection is not possible; therefore, surgeons must use subjective visual and tactile cues to determine disease extent. This clinical trial explored intraoperative near-infrared (NIR) imaging as an approach to improving tumor delineation during mediastinal tumor resection. Twenty-five subjects with anterior mediastinal lesions suspicious for malignancy were enrolled in an open-label feasibility trial. Subjects were administered indocyanine green (ICG) at a dose of 5 mg/kg, 24 hours before resection (via a technique called TumorGlow). The NIR imaging systems included Artemis (Quest, Middenmeer, the Netherlands) and Iridium (VisionSense Corp, Philadelphia, Pennsylvania). Intratumoral ICG uptake was evaluated. The clinical value was determined via an assessment of the ability of NIR imaging to detect phrenic nerve involvement or incomplete resection. Clinical and histopathologic variables were analyzed to determine predictors of tumor fluorescence. No drug-related toxicity was observed. Optical imaging added a mean of 10 minutes to case duration. Among the subjects with solid tumors, 19 of 20 accumulated ICG. Fluorescent tumors included thymomas (n = 13), thymic carcinomas (n = 4), and liposarcomas (n = 2). NIR feedback improved phrenic nerve dissection (n = 4) and identified residual disease (n = 2). There were no false-positives or false-negatives. ICG preferentially accumulated in solid tumors; this was independent of clinical and pathologic variables. NIR imaging for anterior mediastinal neoplasms is safe and feasible. This technology may provide a real-time tool capable of determining tumor extent and specifically identify phrenic nerve involvement and residual disease.

Sections du résumé

BACKGROUND
The management of most solid tumors of the anterior mediastinum involves complete resection. Because of their location near mediastinal structures, wide resection is not possible; therefore, surgeons must use subjective visual and tactile cues to determine disease extent. This clinical trial explored intraoperative near-infrared (NIR) imaging as an approach to improving tumor delineation during mediastinal tumor resection.
METHODS
Twenty-five subjects with anterior mediastinal lesions suspicious for malignancy were enrolled in an open-label feasibility trial. Subjects were administered indocyanine green (ICG) at a dose of 5 mg/kg, 24 hours before resection (via a technique called TumorGlow). The NIR imaging systems included Artemis (Quest, Middenmeer, the Netherlands) and Iridium (VisionSense Corp, Philadelphia, Pennsylvania). Intratumoral ICG uptake was evaluated. The clinical value was determined via an assessment of the ability of NIR imaging to detect phrenic nerve involvement or incomplete resection. Clinical and histopathologic variables were analyzed to determine predictors of tumor fluorescence.
RESULTS
No drug-related toxicity was observed. Optical imaging added a mean of 10 minutes to case duration. Among the subjects with solid tumors, 19 of 20 accumulated ICG. Fluorescent tumors included thymomas (n = 13), thymic carcinomas (n = 4), and liposarcomas (n = 2). NIR feedback improved phrenic nerve dissection (n = 4) and identified residual disease (n = 2). There were no false-positives or false-negatives. ICG preferentially accumulated in solid tumors; this was independent of clinical and pathologic variables.
CONCLUSIONS
NIR imaging for anterior mediastinal neoplasms is safe and feasible. This technology may provide a real-time tool capable of determining tumor extent and specifically identify phrenic nerve involvement and residual disease.

Identifiants

pubmed: 30561757
doi: 10.1002/cncr.31851
pmc: PMC6378119
mid: NIHMS994375
doi:

Substances chimiques

Indocyanine Green IX6J1063HV

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

807-817

Subventions

Organisme : NCI NIH HHS
ID : F32 CA210409
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA193556
Pays : United States

Informations de copyright

© 2018 American Cancer Society.

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Auteurs

Jarrod D Predina (JD)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Jane Keating (J)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Andrew Newton (A)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Christopher Corbett (C)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Leilei Xia (L)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Michael Shin (M)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Lydia Frenzel Sulyok (L)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Charuhas Deshpande (C)

Department of Pathology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Leslie Litzky (L)

Department of Pathology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Shuming Nie (S)

Department of Chemistry, University of Illinois, Urbana, Illinois.

John C Kucharczuk (JC)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Sunil Singhal (S)

Center for Precision Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

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Classifications MeSH