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Review | Open Access

Nanoprobe‐Enabled Precision Imaging and Panoramic Boundary Delineation in Retinoblastoma

Xuefei He1,2, Precious Amarachi Ikwuagwu2,3, Wenjing Pang2,3, Aomen Chen2, Lingchao Xiang2, Feng Chen1, Chen Xu2,3 ( ), Aiguo Wu2,3 ( )
Department of Ophthalmology, Ningbo No.2 Hospital, Wenzhou Medical University, Ningbo, China
Ningbo Key Laboratory of Biomedical Imaging Probe Materials and Technology, Zhejiang International Cooperation Base of Biomedical Materials Technology and Application, Zhejiang Engineering Research Center for Biomedical Materials at Ningbo Cixi Institute of Biomedical Engineering, Laboratory of Advanced Theranostic Materials and Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China
University of Chinese Academy of Sciences, Beijing, China

Xuefei He and Precious Amarachi Ikwuagwu contributed equally to this paper.

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Abstract

Retinoblastoma is the most common primary intraocular malignancy in children. Its prognosis depends critically on accurate delineation of the tumor and its margins, early detection of small lesions, and timely monitoring of therapeutic response. Traditional single‐modality imaging techniques are inherently constrained by trade‐offs among spatial resolution, molecular sensitivity, and dynamic imaging capability, making them insufficient for the demands of precision diagnosis and treatment. In recent years, nanomedicine‐based imaging strategies have emerged as promising approaches to overcome these limitations. Through rational design of nanoprobes with tunable physicochemical properties, active targeting capabilities, and integrated multimodal signaling, researchers have achieved more comprehensive visualization and diagnostic evaluation of retinoblastoma lesions. In this review, we systematically summarize the major imaging modalities applied to retinoblastoma, including optical imaging, ultrasound (US), magnetic resonance imaging (MRI), and photoacoustic imaging (PAI). Subsequently, the corresponding imaging probes and targeting strategies were discussed, which were developed to enhance the imaging contrast and improve the spatiotemporal resolution of tumor visualization. Furthermore, we highlight the emerging role of artificial intelligence (AI) in the rational design of high‐performance imaging nanoprobes and in multimodal image analysis, emphasizing its potential to enable quantitative tumor and boundary delineation. Finally, we outline the key challenges that must be addressed to advance the clinical translation of nanoprobes, including the identification of novel targeting strategies, AI‐assisted image analysis, the development of models that more accurately recapitulate the human ocular microenvironment, and the application of new biocompatible materials. Overall, this review aims to provide comprehensive and insightful guidance for the development of next‐generation nanoprobes for the precise visualization and boundary delineation of retinoblastoma.

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Cancer Innovation
Article number: e70083

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Cite this article:
He X, Ikwuagwu PA, Pang W, et al. Nanoprobe‐Enabled Precision Imaging and Panoramic Boundary Delineation in Retinoblastoma. Cancer Innovation, 2026, 5(5): e70083. https://doi.org/10.1002/cai2.70083

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Received: 24 March 2026
Revised: 13 July 2026
Accepted: 21 August 2026
Published: 11 October 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.