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Updated: May 22, 2026

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality
06:18

Pioneering Patient-Specific Approaches for Precision Surgery Using Imaging and Virtual Reality

Published on: April 5, 2024

Advancements in Intraoperative Imaging for Enhanced Surgical Precision.

Miles Pourbaghi1, Feng Chen1, Nabil Siddiqui1

  • 1Molecular Imaging Innovations Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.

Recent Results in Cancer Research. Fortschritte Der Krebsforschung. Progres Dans Les Recherches Sur Le Cancer
|May 21, 2026
PubMed
Summary
This summary is machine-generated.

Cancer theranostics combined with advanced intraoperative imaging enable precise tumor removal, reducing residual disease. This integration of molecular targeting and AI-powered navigation improves surgical outcomes and patient prognosis in oncology.

Keywords:
Artificial intelligenceCancer theranosticsFluorescence-guided surgeryMultimodal imagingPrecision surgeryRadio-guided surgerySurgical navigationClinical intraoperative imaging

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Area of Science:

  • Oncologic Surgery
  • Medical Imaging
  • Molecular Biology

Background:

  • Targeted imaging agents and intraoperative guidance systems are transforming oncologic surgery.
  • Precision tumor resection is crucial for reducing residual disease and improving patient outcomes.

Purpose of the Study:

  • To examine the integration of cancer theranostics with advanced image-guided intraoperative imaging.
  • To improve surgical precision, enhance targeted tissue removal, and spare vital structures.

Main Methods:

  • Utilizing molecularly engineered probes (e.g., EGFR-targeted antibody, folate receptor alpha-targeting agent) for tumor margin delineation.
  • Employing near-infrared (NIR) optical windows for enhanced sensitivity and spatial resolution.
  • Integrating artificial intelligence (AI)-powered surgical navigation, multispectral cameras, and other advanced imaging systems.

Main Results:

  • Molecular probes demonstrate high sensitivity and specificity in delineating tumor margins.
  • Advanced imaging systems offer enhanced depth detection and dynamic visualization.
  • AI and augmented reality refine image registration and quantitative analysis for actionable intraoperative feedback.

Conclusions:

  • The synthesis of molecular targeting and advanced imaging addresses the need for complete tumor resection.
  • Theranostic approaches show significant translational potential, advancing toward routine clinical practice.
  • This integration represents a vital step forward in precision oncology, promising improved long-term patient outcomes.