# Core B: Physics-Dosimetry Core

> **NIH NIH P01** · UNIVERSITY OF PENNSYLVANIA · 2024 · $214,209

## Abstract

Summary
The central theme of this P01 is to investigate the role of proton/electron/carbon radiation dose
rate in normal tissue damage and tumor killing. Delivery of precise doses of radiation with
varying dose rates to experimental tumors and normal tissue in animal model systems is a
critical task of each project. This Core will provide the dosimetric infrastructure to ensure that
each participating institution and radiation modality (electron, proton, and carbon) will have
consistent and robust FLASH doses. The proposal includes a multi-disciplinary group with
radiation oncologists and biologists who will work very closely with physicists to ensure
procedural consistency for FLASH radiation. Reliable and consistent irradiations and
determination of dose and dose rate are the primary functions of the Core. The specific
aims to enhance capabilities towards this outcome are:
Specific Aim 1: Develop and maintain a dosimetry infrastructure for accurate
determination and calibration of absorbed physical dose, beam delivery sequence, dose
rate and dose-time structure across experimental systems.
Specific Aim 2: Develop animal specific treatment techniques and dosimetric support
systems.
Specific Aim 3: Develop interlock and irradiation logging systems for safe and
reproducible experiments across all projects.

## Key facts

- **NIH application ID:** 10783014
- **Project number:** 5P01CA257904-03
- **Recipient organization:** UNIVERSITY OF PENNSYLVANIA
- **Principal Investigator:** Eric S Diffenderfer
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $214,209
- **Award type:** 5
- **Project period:** 2022-02-15 → 2027-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10783014

## Citation

> US National Institutes of Health, RePORTER application 10783014, Core B: Physics-Dosimetry Core (5P01CA257904-03). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10783014. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*