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Configurable γ Photon Spectrometer to Enable Precision Radioguided Tumor Resection
IEEE Transactions on Biomedical Circuits and Systems
|December 5, 2025
Summary
This study introduces a novel integrated circuit gamma spectrometer for radioguided surgery (RGS). The device precisely measures gamma photon energy, improving cancer cell detection during tumor resection and reducing recurrence risk.
Area of Science:
- Medical instrumentation
- Nuclear medicine
- Semiconductor device physics
Background:
- Surgical tumor resection aims for complete cancer cell removal, but microscopic disease is often missed, leading to recurrence.
- Radioguided surgery (RGS) uses radioisotopes to tag cancer cells, but requires precise localization of these cells within tissue margins.
- Current gamma photon spectrometers for RGS are often mm-scale, limiting specificity and spatial resolution.
Purpose of the Study:
- To develop a compact, high-resolution integrated circuit (IC)-based gamma spectrometer for intraoperative use in RGS.
- To enable precise measurement of single gamma photons and their incident energy with sub-keV resolution.
- To create a versatile spectrometry system adaptable to diverse surgical scenarios in RGS.
Main Methods:
- Designed and implemented a 9.9 mm² IC gamma spectrometer using 180 nm CMOS technology.
- Utilized small 2x2 µm reverse-biased diodes with low capacitance to generate millivolt signals from gamma interactions.
- Developed a low-power energy spectrometry method based on signal decay time measurement, implemented in configurable pixel architectures.
Main Results:
- Achieved sub-keV energy resolution and a 1.315 MeV energy dynamic range.
- Demonstrated the ability to resolve activities as low as 1 µCi for common gamma-emitting radioisotopes (⁶⁴Cu, ¹³³Ba, ¹⁷⁷Lu).
- The IC-based spectrometer successfully measured single gamma photons and their incident energy.
Conclusions:
- The developed IC gamma spectrometer offers a significant advancement for radioguided surgery.
- Its high specificity and configurable design can improve intraoperative visualization of cancer cells.
- This technology has the potential to enhance surgical outcomes by reducing cancer recurrence.
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