A Clinical Trial of TumorGlow to Identify Residual Disease During Pleurectomy and Decortication.


Journal

The Annals of thoracic surgery
ISSN: 1552-6259
Titre abrégé: Ann Thorac Surg
Pays: Netherlands
ID NLM: 15030100R

Informations de publication

Date de publication:
01 2019
Historique:
received: 23 02 2018
revised: 08 05 2018
accepted: 04 06 2018
pubmed: 22 7 2018
medline: 16 10 2019
entrez: 21 7 2018
Statut: ppublish

Résumé

Macroscopic complete resection can improve survival in a select group of patients with malignant pleural mesothelioma. During resection, differentiating residual tumor from inflammation or scar can be challenging. This trial evaluated near-infrared (NIR) intraoperative imaging using TumorGlow (a novel NIR imaging approach utilizing high-dose indocyanine green and delayed imaging) technology to improve detection of macroscopic residual disease. Twenty subjects were enrolled in an open-label clinical trial of NIR intraoperative imaging with TumorGlow (Indocyanine Green for Solid Tumors [NCT02280954]). Twenty-four hours before pleural biopsy or pleurectomy and decortication (P/D), patients received intravenous indocyanine green. All specimens identified during standard-of-care surgical resection and with NIR imaging underwent histopathologic profiling and correlative microscopic fluorescent tomographic evaluation. For subjects undergoing P/D (n = 13), the hemithorax was evaluated with NIR imaging during P/D to assess for residual disease. When possible, additional fluorescent lesions were resected. Of 203 resected specimens submitted for evaluation, indocyanine green accumulated within 113 of 113 of resected mesothelioma specimens, with a mean signal-to-background fluorescence ratio of 3.1 (SD, 2.2 to 4.8). The mean signal-to-background fluorescence ratio of benign tissues was 2.2 (SD, 1.4 to 2.4), which was significantly lower than in malignant specimens (p = 0.001). NIR imaging identified occult macroscopic residual disease in 10 of 13 subjects. A median of 5.6 resectable residual deposits per patient (range, 0 to 11 deposits per patient), with a mean size of 0.3 cm (range, 0.1 to 1.5 cm), were identified. TumorGlow for malignant pleural mesothelioma is safe and feasible. Excellent sensitivity allows for to reliable detection of macroscopic residual disease during cytoreductive surgical procedures.

Sections du résumé

BACKGROUND
Macroscopic complete resection can improve survival in a select group of patients with malignant pleural mesothelioma. During resection, differentiating residual tumor from inflammation or scar can be challenging. This trial evaluated near-infrared (NIR) intraoperative imaging using TumorGlow (a novel NIR imaging approach utilizing high-dose indocyanine green and delayed imaging) technology to improve detection of macroscopic residual disease.
METHODS
Twenty subjects were enrolled in an open-label clinical trial of NIR intraoperative imaging with TumorGlow (Indocyanine Green for Solid Tumors [NCT02280954]). Twenty-four hours before pleural biopsy or pleurectomy and decortication (P/D), patients received intravenous indocyanine green. All specimens identified during standard-of-care surgical resection and with NIR imaging underwent histopathologic profiling and correlative microscopic fluorescent tomographic evaluation. For subjects undergoing P/D (n = 13), the hemithorax was evaluated with NIR imaging during P/D to assess for residual disease. When possible, additional fluorescent lesions were resected.
RESULTS
Of 203 resected specimens submitted for evaluation, indocyanine green accumulated within 113 of 113 of resected mesothelioma specimens, with a mean signal-to-background fluorescence ratio of 3.1 (SD, 2.2 to 4.8). The mean signal-to-background fluorescence ratio of benign tissues was 2.2 (SD, 1.4 to 2.4), which was significantly lower than in malignant specimens (p = 0.001). NIR imaging identified occult macroscopic residual disease in 10 of 13 subjects. A median of 5.6 resectable residual deposits per patient (range, 0 to 11 deposits per patient), with a mean size of 0.3 cm (range, 0.1 to 1.5 cm), were identified.
CONCLUSIONS
TumorGlow for malignant pleural mesothelioma is safe and feasible. Excellent sensitivity allows for to reliable detection of macroscopic residual disease during cytoreductive surgical procedures.

Identifiants

pubmed: 30028985
pii: S0003-4975(18)30995-0
doi: 10.1016/j.athoracsur.2018.06.015
pmc: PMC6296901
mid: NIHMS1500299
pii:
doi:

Substances chimiques

Coloring Agents 0
Indocyanine Green IX6J1063HV

Banques de données

ClinicalTrials.gov
['NCT02280954']

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

224-232

Subventions

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

Informations de copyright

Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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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.

Andrew D Newton (AD)

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 Sulfyok (LF)

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.

Olugbenga T Okusanya (OT)

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.

Keith A Cengel (KA)

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

Andrew Haas (A)

Division of Pulmonology, Allergy, and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

Leslie Litzky (L)

Division of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.

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. Electronic address: sunil.singhal@uphs.upenn.edu.

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Classifications MeSH