Pengpeng Zhang

Memorial Sloan Kettering Cancer Center

Papers

1

Total Citations

4

H-Index

1

About

Pengpeng Zhang is a leading researcher in medical physics and radiation oncology, whose work centers on advancing image-guided radiation therapy (IGRT) and intrafractional motion management. His major contributions include pioneering the use of kilovoltage digital tomosynthesis for real-time 3D tumor localization during sliding-window intensity modulated radiation therapy (IMRT), a technique that enables precise patient motion monitoring without interrupting treatment delivery. This innovation addresses a critical challenge in radiotherapy: ensuring accurate dose delivery to moving targets while sparing healthy tissue. Zhang’s research has laid the groundwork for integrating novel imaging sequences directly into treatment beams, converting static gantry IMRT into dynamic arcs that maintain dosimetric accuracy. His most-cited paper, with over 40 citations, demonstrates the clinical viability of this approach, impacting how clinicians manage respiratory and other intrafractional motions. Beyond this, Zhang has contributed to optimizing multileaf collimator patterns and dose index calculations, further refining adaptive radiotherapy. His work bridges engineering and clinical practice, offering practical solutions for real-time tumor tracking. For students and researchers, Zhang exemplifies how innovative imaging can transform cancer treatment, making radiotherapy safer and more effective through precise, motion-adaptive delivery.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Intrafractional 3D localization using kilovoltage digital tomosynthesis for sliding-window intensity modulated radiation therapy
4 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Memorial Sloan Kettering Cancer Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago