Targeted Intraoperative Molecular Imaging for Localizing Nonpalpable Tumors and Quantifying Resection Margin

Gregory T Kennedy1, Feredun S Azari1, Elizabeth Bernstein1

  • 1Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia.

JAMA Surgery
|August 25, 2021
PubMed
Abstract

Insights

Intraoperative molecular imaging (IMI) successfully located nonpalpable lung tumors and accurately measured surgical margins. This novel technology improves tumor resection by identifying occult disease and guiding surgeons to achieve complete tumor removal.

Area of Science:

  • Surgical Oncology
  • Molecular Imaging
  • Diagnostic Technology

Background:

  • Complete tumor resection (R0) is critical for patient survival in solid tumors.
  • Achieving adequate margins is challenging for nonpalpable or in situ tumors.
  • Existing methods for margin assessment are often inefficient or inadequate.

Purpose of the Study:

  • To evaluate intraoperative molecular imaging (IMI) for localizing nonpalpable tumors.
  • To assess IMI's ability to quantify surgical margin distances during resection.
  • To determine the efficacy of a folate receptor-targeted fluorescent tracer in IMI.

Main Methods:

  • A nonrandomized trial involving patients with small, suspicious lung lesions.
  • Patients received a folate receptor-targeted near-infrared fluorescent tracer preoperatively.
  • Surgeons used IMI for intraoperative lesion detection (in situ and ex vivo) and margin assessment.

Main Results:

  • IMI localized 90% of lesions (36/40), significantly outperforming conventional methods (55%).
  • IMI identified 83.3% of nonpalpable lesions (15/18).
  • IMI provided accurate margin quantification, with a median difference of 1.3 mm compared to final pathology, and identified two unacceptable margins.

Conclusions:

  • This study demonstrates the first clinical application of IMI for nonpalpable tumors.
  • IMI is a valuable tool for identifying occult disease and assessing tumor margins in surgical oncology.
  • IMI offers a promising approach to improve the completeness of tumor resection.

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