# Stanford Cancer Imaging Training (SCIT) Program

> **NIH NIH T32** · STANFORD UNIVERSITY · 2023 · $413,296

## Abstract

This proposal is a competing renewal for our longstanding T32, the Stanford Cancer Imaging Training (SCIT)
Program. Drs. Jeremy Dahl, PhD, and Bruce Daniel, MD, will lead this program, which features 25 mentors with
independent funding and 10 (7 internal/3 external) distinguished program advisors. This is a 2-year program
that trains 5 fellows (a mix of PhD and radiology-trained MDs) per year over a 5-year funding cycle. Our required
coursework includes 2 courses in the clinical/cancer sciences, 2 in imaging science, 1 in biostatistics, 1 in
medical ethics (“Responsible Conduct of Research”), 2 workshops in grant writing, an attendance at a minimum
of 4 multidisciplinary tumor boards, and regular attendance during a continuing education workshop that covers
topics in responsible conduct of research and rigor and reproducibility. In addition, trainees can select from a
multitude of electives offered by various Stanford University faculty across numerous clinical, science, and
engineering departments. Each trainee’s primary focus is a mentored cancer-imaging research project aimed
at publications in peer-reviewed journals and presentations at National meetings. We pair each trainee with both
a basic science and physician mentor, to provide guidance in course and research-topic selection and to develop
a translational mindset. Through the SCIT program, we will continue our longstanding mission of training the
next generation of researchers in the development and clinical application of advanced techniques for cancer
imaging. In addition, we will recruit trainees from a nationwide pool that includes women, candidates from
underrepresented minorities and/or with disabilities, and from disadvantaged backgrounds, so as to increase
diversity in the U.S. research workforce.
 The need for the SCIT Program is even greater now than when it began in 1993. Radiology plays a key role
in the diagnosis and treatment of cancer patients. Our Department is one of the very few that has been able to
grow in response to this role and embrace what is now a multidisciplinary vision towards image-based cancer
research. The SCIT Program leverages the Stanford Cancer Institute (an NIH-designated Comprehensive
Cancer Center) and the Stanford Canary Center for Cancer Early Detection as well as many other Stanford
resources and programs. All of our SCIT trainees were productive while in the program with nearly 90% who
continue research activity in cancer imaging today. Current trainees are pursuing research in radiology-
pathology fusion to predict treatment response of breast cancer, improving accuracy of prostate cancer
detection on MRI with deep learning methods, optical coherence tomography histology to decrease the positive
margin rate in lumpectomy for breast cancer, developing a partial ring time-of-flight positron emission
tomography scanner with 3D event positioning to visualize and quantify cancer lesions, AI-based detection
models to distinguish ductal carcinoma in ...

## Key facts

- **NIH application ID:** 10716073
- **Project number:** 2T32CA009695-31
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** BRUCE L DANIEL
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $413,296
- **Award type:** 2
- **Project period:** 1993-02-01 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10716073

## Citation

> US National Institutes of Health, RePORTER application 10716073, Stanford Cancer Imaging Training (SCIT) Program (2T32CA009695-31). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10716073. Licensed CC0.

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