Literature DB >> 27793401

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

Jane Keating1, Andrew Newton1, Ollin Venegas1, Sarah Nims1, Ryan Zeh1, Jarrod Predina1, Charuhas Deshpande2, John Kucharczuk1, Shuming Nie3, E James Delikatny4, Sunil Singhal5.   

Abstract

BACKGROUND: Pulmonary 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.
METHODS: We 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.
RESULTS: Mice 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).
CONCLUSIONS: Systemic 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.
Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27793401     DOI: 10.1016/j.athoracsur.2016.08.079

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  28 in total

Review 1.  Intraoperative near-infrared imaging of mesothelioma.

Authors:  Gregory Thomas Kennedy; Andrew Newton; Jarrod Predina; Sunil Singhal
Journal:  Transl Lung Cancer Res       Date:  2017-06

2.  Quantitative Primary Tumor Indocyanine Green Measurements Predict Osteosarcoma Metastatic Lung Burden in a Mouse Model.

Authors:  Mitchell S Fourman; Adel Mahjoub; Jon B Mandell; Shibing Yu; Jessica C Tebbets; Jared A Crasto; Peter E Alexander; Kurt R Weiss
Journal:  Clin Orthop Relat Res       Date:  2018-03       Impact factor: 4.176

3.  Optimization of Second Window Indocyanine Green for Intraoperative Near-Infrared Imaging of Thoracic Malignancy.

Authors:  Andrew D Newton; Jarrod D Predina; Christopher J Corbett; Lydia G Frenzel-Sulyok; Leilei Xia; E James Petersson; Andrew Tsourkas; Shuming Nie; Edward J Delikatny; Sunil Singhal
Journal:  J Am Coll Surg       Date:  2018-11-22       Impact factor: 6.113

Review 4.  Intraoperative fluorescence imaging in thoracic surgery.

Authors:  Andrew D Newton; Jarrod D Predina; Shuming Nie; Philip S Low; Sunil Singhal
Journal:  J Surg Oncol       Date:  2018-08-11       Impact factor: 3.454

5.  Near-infrared intraoperative imaging for minimally invasive pulmonary metastasectomy for sarcomas.

Authors:  Jarrod D Predina; Andrew D Newton; Christopher Corbett; Michael Shin; Lydia Frenzel Sulfyok; Olugbenga T Okusanya; Edward J Delikatny; Shuming Nie; Colleen Gaughan; Doraid Jarrar; Taine Pechet; John C Kucharczuk; Sunil Singhal
Journal:  J Thorac Cardiovasc Surg       Date:  2018-12-14       Impact factor: 5.209

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

Authors:  Jarrod D Predina; Andrew D Newton; Christopher Corbett; Leilei Xia; Michael Shin; Lydia Frenzel Sulfyok; Olugbenga T Okusanya; Keith A Cengel; Andrew Haas; Leslie Litzky; John C Kucharczuk; Sunil Singhal
Journal:  Ann Thorac Surg       Date:  2018-07-17       Impact factor: 4.330

7.  Near-infrared intraoperative imaging during resection of an anterior mediastinal soft tissue sarcoma.

Authors:  Jarrod D Predina; Andrew D Newton; Charuhas Desphande; Sunil Singhal
Journal:  Mol Clin Oncol       Date:  2017-11-08

8.  Long-term outcomes after near-infrared sentinel lymph node mapping in non-small cell lung cancer.

Authors:  Christopher S Digesu; Krista J Hachey; Denis M Gilmore; Onkar V Khullar; Hisashi Tsukada; Brian Whang; Lucian R Chirieac; Robert F Padera; Michael T Jaklitsch; Yolonda L Colson
Journal:  J Thorac Cardiovasc Surg       Date:  2017-12-14       Impact factor: 5.209

9.  Evaluation of Diagnostic Accuracy Following the Coadministration of Delta-Aminolevulinic Acid and Second Window Indocyanine Green in Rodent and Human Glioblastomas.

Authors:  Steve S Cho; Saad Sheikh; Clare W Teng; Joseph Georges; Andrew I Yang; Emma De Ravin; Love Buch; Carrie Li; Yash Singh; Denah Appelt; Edward J Delikatny; E James Petersson; Andrew Tsourkas; Jay Dorsey; Sunil Singhal; John Y K Lee
Journal:  Mol Imaging Biol       Date:  2020-10       Impact factor: 3.488

10.  Comparison of a Short Versus Long Stokes Shift Near-Infrared Dye During Intraoperative Molecular Imaging.

Authors:  Christopher J Corbett; Lydia G Frenzel Sulyok; Jarrod D Predina; Andrew D Newton; Mitchell G Bryski; Leilei Xia; Jason Stadanlick; Michael H Shin; Sakkarapalayam M Mahalingam; Philip S Low; Sunil Singhal
Journal:  Mol Imaging Biol       Date:  2020-02       Impact factor: 3.488

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