Dr. Naruhiko Ikoma Profile

Dr. Naruhiko Ikoma

at Univ of Texas M D Anderson Cancer Ctr

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Publications (4)

Proceedings Article | 2 April 2024 Presentation + Paper

Enhancing colorectal cancer diagnosis through generative models and vision-based tactile sensing: a Sim2Real study

Siddhartha Kapuria, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi

Proceedings Volume 12931, 129310N (2024) https://doi.org/10.1117/12.3006550

KEYWORDS: Data modeling, Education and training, Polyps, Visual process modeling, Performance modeling, Sensors, Image classification, RGB color model, Machine learning, Error control coding

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Proceedings Article | 6 March 2023 Poster + Paper

Combined multiphoton microscopy and somatostatin receptor type 2 imaging of pancreatic neuroendocrine tumors

Noelle Daigle, Thomas Knapp, Suzann Duan, David Jones, Ali Azhdarinia, Sukhen Ghosh, Solmaz AghaAmiri, Naruhiko Ikoma, Jeannelyn Estrella, Martin Schnermann, Juanita Merchant, Travis Sawyer

Proceedings Volume 12371, 1237109 (2023) https://doi.org/10.1117/12.2648113

KEYWORDS: Tumors, Biological samples, Tissues, Second harmonic generation, Multiphoton microscopy, Fluorescence, Autofluorescence, Cancer, Surgery, Emission wavelengths

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SPIE Journal Paper | 9 December 2020 Open Access

Development of a drug–device combination for fluorescence-guided surgery in neuroendocrine tumors

Servando Hernandez Vargas, Christie Lin, Julie Voss, Sukhen Ghosh, Daniel Halperin, Solmaz Agha Amiri, Hop Tran Cao, Naruhiko Ikoma, Adam Uselmann, Ali Azhdarinia

JBO, Vol. 25, Issue 12, 126002, (December 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.12.126002

KEYWORDS: Tumors, Luminescence, Imaging systems, Tissues, Surgery, Visualization, In vivo imaging, Image quality, Lung, Imaging devices

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Significance: The use of cancer-targeted contrast agents in fluorescence-guided surgery (FGS) has the potential to improve intraoperative visualization of tumors and surgical margins. However, evaluation of their translational potential is challenging. Aim: We examined the utility of a somatostatin receptor subtype-2 (SSTR2)-targeted fluorescent agent in combination with a benchtop near-infrared fluorescence (NIRF) imaging system to visualize mouse xenografts under conditions that simulate the clinical FGS workflow for open surgical procedures. Approach: The dual-labeled somatostatin analog, Ga67-MMC(IR800)-TOC, was injected into mice (n = 24) implanted with SSTR2-expressing tumors and imaged with the customized OnLume NIRF imaging system (Madison, Wisconsin). In vivo and ex vivo imaging were performed under ambient light. The optimal dose (0.2, 0.5, and 2 nmol) and imaging time point (3, 24, 48, and 72 h) were determined using contrast-to-noise ratio (CNR) as the image quality parameter. Video captures of tumor resections were obtained to provide an FGS readout that is representative of clinical utility. Finally, a log-transformed linear regression model was fitted to assess congruence between fluorescence readouts and the underlying drug distribution. Results: The drug–device combination provided high in vivo and ex vivo contrast (CNRs > 3, except lung at 3 h) at all time points with the optimal dose of 2 nmol. The optimal imaging time point was 24-h post-injection, where CNRs > 6.5 were achieved in tissues of interest (i.e., pancreas, small intestine, stomach, and lung). Intraoperative FGS showed excellent utility for examination of the tumor cavity pre- and post-resection. The relationship between fluorescence readouts and gamma counts was linear and strongly correlated (n = 334, R2 = 0.71; r = 0.84; P < 0.0001). Conclusion: The innovative OnLume NIRF imaging system enhanced the evaluation of Ga67-MMC(IR800)-TOC in tumor models. These components comprise a promising drug–device combination for FGS in patients with SSTR2-expressing tumors.

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Proceedings Article | 19 February 2020 Presentation + Paper

A proof-of-concept methodology to validate the in situ visualization of residual disease using cancer-targeted molecular agents in fluorescence-guided surgery

Servando Hernandez Vargas, Christie Lin, Solmaz AghaAmiri, Julie Voss, Naruhiko Ikoma, Hop Tran Cao, Sukhen Ghosh, Adam Uselmann, Ali Azhdarinia

Proceedings Volume 11222, 112220P (2020) https://doi.org/10.1117/12.2546190

KEYWORDS: Tumors, Luminescence, Surgery, Visualization, Imaging systems, Cancer, Tissues, Receptors, Optical inspection, Reflectivity

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