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PLOS ONE | 2014

Intraoperative Near-Infrared Imaging Can Distinguish Cancer from Normal Tissue but Not Inflammation

Olugbenga T. Okusanya; Ryan Judy; Ollin Venegas; Jack Jiang; Elizabeth DeJesus; Evgeniy Eruslanov; Jon G. Quatromoni; Pratik Bhojnagarwala; Charuhas Deshpande; Steven M. Albelda; Shuming Nie; Sunil Singhal

Introduction Defining tumor from non-tumor tissue is one of the major challenges of cancer surgery. Surgeons depend on visual and tactile clues to select which tissues should be removed from a patient. Recently, we and others have hypothesized near-infrared (NIR) imaging can be used during surgery to differentiate tumors from normal tissue. Methods We enrolled 8 canines and 5 humans undergoing cancer surgery for NIR imaging. The patients were injected with indocyanine green (ICG), an FDA approved non-receptor specific NIR dye that accumulates in hyperpermeable tissues, 16–24 hours prior to surgery. During surgery, NIR imaging was used to discriminate the tumor from non-tumor tissue. Results NIR imaging identified all tumors with a mean signal-to-background ratio of 6.7. Optical images were useful during surgery in discriminating normal tissue from cancer. In 3 canine cases and 1 human case, the tissue surrounding the tumor was inflamed due to obstruction of the vascular supply due to mass effect. In these instances, NIR imaging could not distinguish tumor tissue from tissue that was congested, edematous and did not contain cancer. Conclusions This study shows that NIR imaging can identify tumors from normal tissues, provides excellent tissue contrast, and it facilitates the resection of tumors. However, in situations where there is significant peritumoral inflammation, NIR imaging with ICG is not helpful. This suggests that non-targeted NIR dyes that accumulate in hyperpermeable tissues will have significant limitations in the future, and receptor-specific NIR dyes may be necessary to overcome this problem.


Technology in Cancer Research & Treatment | 2015

Small portable interchangeable imager of fluorescence for fluorescence guided surgery and research.

Olugbenga T. Okusanya; Brian Madajewski; Erin Segal; Brendan F. Judy; Ollin Venegas; Ryan Judy; Jon G. Quatromoni; May D. Wang; Shuming Nie; Sunil Singhal

Fluorescence guided surgery (FGS) is a developing field of surgical and oncologic research. Practically, FGS has shown useful applications in urologic surgery, benign biliary surgery, colorectal cancer liver metastasis resection, and ovarian cancer debulking. Most notably in in cancer surgery, FGS allows for the clear delineation of cancerous tissue from benign tissue. FGS requires the utilization of a fluorescent contrast agent and an intraoperative fluorescence imaging device (IFID). Currently available IFIDs are expensive, unable to work with multiple fluorophores, and can be cumbersome. This study aims to describe the development and utility of a small, cost-efficient, and interchangeable IFID made from commercially available components. Extensive research was done to design and construct a light-weight, portable, and cost-effective IFID. We researched the capabilities, size, and cost of several camera types and eventually decided on a near-infrared (NIR) charged couple device (CCD) camera for its overall profile. The small portable interchangeable imager of fluorescence (SPIIF) is a “scout” IFID system for FGS. The main components of the SPIIF are a NIR CCD camera with an articulating light filter. These components and a LED light source with an attached heat sink are mounted on a small metal platform. The system is connected to a laptop by a USB 2.0 cable. Pixielink


Journal of Biomedical Optics | 2015

Intraoperative near-infrared fluorescence imaging and spectroscopy identifies residual tumor cells in wounds

Ashwin B. Parthasarathy; Olugbenga T. Okusanya; Jane Keating; Ollin Venegas; Charuhas Deshpande; Giorgos C. Karakousis; Brian Madajewski; Amy C. Durham; Shuming Nie; Arjun G. Yodh; Sunil Singhal

Abstract. Surgery is the most effective method to cure patients with solid tumors, and 50% of all cancer patients undergo resection. Local recurrences are due to tumor cells remaining in the wound, thus we explore near-infrared (NIR) fluorescence spectroscopy and imaging to identify residual cancer cells after surgery. Fifteen canines and two human patients with spontaneously occurring sarcomas underwent intraoperative imaging. During the operation, the wounds were interrogated with NIR fluorescence imaging and spectroscopy. NIR monitoring identified the presence or absence of residual tumor cells after surgery in 14/15 canines with a mean fluorescence signal-to-background ratio (SBR) of ∼16. Ten animals showed no residual tumor cells in the wound bed (mean SBR<2, P<0.001). None had a local recurrence at >1-year follow-up. In five animals, the mean SBR of the wound was >15, and histopathology confirmed tumor cells in the postsurgical wound in four/five canines. In the human pilot study, neither patient had residual tumor cells in the wound bed, and both remain disease free at >1.5-year follow up. Intraoperative NIR fluorescence imaging and spectroscopy identifies residual tumor cells in surgical wounds. These observations suggest that NIR imaging techniques may improve tumor resection during cancer operations.


Oncotarget | 2016

Intraoperative imaging identifies thymoma margins following neoadjuvant chemotherapy

Jane Keating; Sarah Nims; Ollin Venegas; Jack Jiang; John C. Kucharczuk; Charuhas Deshpande; Sunil Singhal

Near infrared (NIR) molecular imaging is useful to identify tumor margins during surgery; however, the value of this technology has not been evaluated for tumors that have been pre-treated with chemotherapy. We hypothesized that NIR molecular imaging could locate mediastinal tumor margins in a murine model after neoadjuvant chemotherapy. Flank thymomas were established on mice. Two separate experiments were performed for tumor margin detection. The first experiment compared (i) surgery and (ii) surgery + NIR imaging. The second experiment compared (iii) preoperative chemotherapy + surgery, and (iv) preoperative chemotherapy + surgery + NIR imaging. NIR imaging occurred following systemic injection of indocyanine green. Margins were assessed for residual tumor cells by pathology. NIR imaging was superior at detecting retained tumor cells during surgery compared to standard techniques (surgery alone vs. surgery + NIR imaging, 20% vs. 80%, respectively). Following chemotherapy, the sensitivity of NIR imaging of tumor margins was not significantly altered. The mean in vivo tumor-to-background fluorescence ratio was similar in the treatment-naïve and chemotherapy groups ((p = 0.899): 3.79 ± 0.69 (IQR 3.29 - 4.25) vs. 3.79 ± 0.52 (IQR 3.40 – 4.03)). We conclude that chemotherapy does not affect tumor fluorescence or identification of retained cancer cells at margins.


Cancer | 2017

Intraoperative near-infrared fluorescence imaging targeting folate receptors identifies lung cancer in a large-animal model

Jane Keating; Jeffrey J. Runge; Sunil Singhal; Sarah Nims; Ollin Venegas; Amy C. Durham; Gary P. Swain; Shuming Nie; Philip S. Low

Complete tumor resection is the most important predictor of patient survival with non–small cell lung cancer. Methods for intraoperative margin assessment after lung cancer excision are lacking. This study evaluated near‐infrared (NIR) intraoperative imaging with a folate‐targeted molecular contrast agent (OTL0038) for the localization of primary lung adenocarcinomas, lymph node sampling, and margin assessment.


BMC Immunology | 2013

The timing of TGF-β inhibition affects the generation of antigen-specific CD8+ T Cells

Jon G. Quatromoni; Eiji Suzuki; Olugbenga T. Okusanya; Brendan F. Judy; Pratik Bhojnagarwala; Ollin Venegas; Evgeniy Eruslanov; Jarrod D. Predina; Steven M. Albelda; Sunil Singhal

BackgroundTransforming growth factor (TGF)-β is a potent immunosuppressive cytokine necessary for cancer growth. Animal and human studies have shown that pharmacologic inhibition of TGF-β slows the growth rate of established tumors and occasionally eradicates them altogether. We observed, paradoxically, that inhibiting TGF-β before exposing animals to tumor cells increases tumor growth kinetics. We hypothesized that TGF-β is necessary for the anti-tumor effects of cytotoxic CD8+ T lymphocytes (CTLs) during the early stages of tumor initiation.MethodsBALB/c mice were pretreated with a blocking soluble TGF-β receptor (sTGF-βR, TGF-β-blockade group, n=20) or IgG2a (Control group, n=20) before tumor inoculation. Tumor size was followed for 6 weeks. In vivo lymphocyte assays and depletion experiments were then performed to investigate the immunological basis of our results. Lastly, animals were pretreated with either sTGF-βR (n=6) or IgG2a (n=6) prior to immunization with an adenoviral vector encoding the human papillomavirus E7 gene (Ad.E7). One week later, flow cytometry was utilized to measure the number of splenic E7-specific CD8+ T cells.ResultsInhibition of TGF-β before the injection of tumor cells resulted in significantly larger average tumor volumes on days 11, 17, 22, 26 and 32 post tumor-inoculation (p < 0.05). This effect was due to the inhibition of CTLs, as it was not present in mice with severe combined immunodeficiency (SCID) or those depleted of CD8+ T cells. Furthermore, pretreatment with sTGF-βR inhibited tumor-specific CTL activity in a Winn Assay. Tumors grew to a much larger size when mixed with CD8+ T cells from mice pretreated with sTGF-βR than when mixed with CD8+ T cells from mice in the control group: 96 mm3 vs. 22.5 mm3, respectively (p < 0.05). In addition, fewer CD8+ T cells were generated in Ad.E7-immunized mice pretreated with sTGF-βR than in mice from the control group: 0.6% total CD8+ T cells vs. 1.9%, respectively (p < 0.05).ConclusionsThese studies provide the first in vivo evidence that TGF-β may be necessary for anti-tumor immune responses in certain cancers. This finding has important implications for our understanding of anti-tumor immune responses, the role of TGF-β in the immune system, and the future development of TGF-β inhibiting drugs.


Clinical Genitourinary Cancer | 2017

Intraoperative Molecular Imaging for Post-Chemotherapy Robot-Assisted Laparoscopic Resection of Seminoma Metastasis: A Case Report

Leilei Xia; Ollin Venegas; Jarrod D. Predina; Sunil Singhal; Thomas J. Guzzo

Clinical Practice PointsPost‐chemotherapy retroperitoneal lymph node dissection for seminoma metastasis is a challenging surgical scenario.Most of the post‐chemotherapy retroperitoneal lymph node dissection cases for seminoma metastasis in the literature were open surgery.In this case, we used a known near‐infrared contrast agent, indocyanine green, with a novel method of injection to facilitate the robot‐assisted resection of a seminoma metastasis in the post‐chemotherapy setting.To the best of our knowledge, this is the first case of post‐chemotherapy robot‐assisted laparoscopic resection of seminoma metastasis with intraoperative molecular imaging.


Rare Tumors | 2017

Tracheal glomus tumor: a case report and review of the literature

Ollin Venegas; Andrew D. Newton; Norge Vergara; Sunil Singhal; Jarrod D. Predina

Glomus tumors are rare neoplasms that typically occur within the dermis or subcutis of the subungual space. Primary glomus tumors of the thorax are exceedingly uncommon, thus standard-of-care management is lacking. In this report we describe the management of a patient presenting with a symptomatic glomus tumor of the posterior trachea, and provide a comprehensive review including all documented tracheal glomus tumor reports.


The Annals of Thoracic Surgery | 2014

Intraoperative Near-Infrared Imaging Can Identify Pulmonary Nodules

Olugbenga T. Okusanya; Daniel F. Heitjan; Charuhas Deshpande; Ollin Venegas; Jack Jiang; Ryan Judy; Elizabeth DeJesus; Brian Madajewski; Kenny Oh; May Wang; Steven M. Albelda; Shuming Nie; Sunil Singhal


The Journal of Thoracic and Cardiovascular Surgery | 2015

Intraoperative molecular imaging can identify lung adenocarcinomas during pulmonary resection

Olugbenga T. Okusanya; Elizabeth DeJesus; Jack Jiang; Ryan Judy; Ollin Venegas; Charuhas Deshpande; Daniel F. Heitjan; Shuming Nie; Philip S. Low; Sunil Singhal

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Sunil Singhal

University of Pennsylvania

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Jane Keating

University of Pennsylvania

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Jarrod D. Predina

University of Pennsylvania

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Jack Jiang

University of Pennsylvania

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Ryan Judy

University of Pennsylvania

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Sarah Nims

University of Pennsylvania

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Brian Madajewski

University of Pennsylvania

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