From Imaging to Impact: A Multi-Disciplinary T32 Program Framework and Initial Insights for Training in Image-Guided...

Area of Science:

• Oncology
• Medical Imaging
• Scientific Training

Background:

• Precision oncology increasingly relies on multi-disciplinary image-guided assessment and therapies.
• A need exists for comprehensive training to prepare clinician-scientists and scientists in this field.
• Existing training programs may lack structured approaches for image-guided cancer therapy research.

Purpose of the Study:

• To present an innovative, evidence-based research training framework for image-guided cancer therapy.
• To foster scientific rigor, translational thinking, and multi-disciplinary collaboration in postdoctoral fellows.
• To prepare fellows for successful careers in image-guided cancer therapy research.

Main Methods:

• Implemented a T32 Training Program (IGCT-T32) integrating personalized mentoring, immersive research, clinical exposure, didactic learning, and grant writing.
• Incorporated programmatic enhancements based on trainee feedback, including flexible training plans and an open-access educational repository.
• Utilized a framework adaptable for other institutions and stakeholders.

Main Results:

• Trainees demonstrated high research productivity, averaging 3.2 presentations and 1.8 invited talks annually.
• IGCT-T32 trainees published significantly more first-authored (1.6 vs. 0.36) and co-authored (6.0 vs. 0.26) manuscripts per year compared to non-T32 peers.
• Trainees published 77.1% of manuscripts in top-quartile journals and were ~10% more likely to use preprints for early dissemination.

Conclusions:

• The IGCT-T32 program shows promising early indicators of effectiveness in enhancing research productivity and publication quality.
• Programmatic enhancements, including an open-access repository, improve resource accessibility and dissemination.
• The descriptive framework can guide the development of similar training curricula in image-guided cancer therapy.