Paul J. van Diest
Papers
1
Total Citations
49
H-Index
1
About
Paul J. van Diest is a leading figure in oncological pathology, with a primary focus on breast cancer, gynecological malignancies, and the application of advanced imaging techniques in surgical oncology. His work has significantly advanced the integration of nuclear medicine and pathology, particularly in the optimization of sentinel lymph node mapping. A landmark contribution is his 2013 study demonstrating that preoperative SPECT–CT imaging with 99mTc-nanocolloid dramatically reduces intraoperative sentinel node retrieval time during robot-assisted laparoscopic cervical cancer surgery—a finding that has been cited 49 times and directly improved surgical precision and patient outcomes. Beyond this, van Diest has been instrumental in refining diagnostic criteria for breast cancer subtypes, exploring molecular markers for prognosis, and championing the use of digital pathology and artificial intelligence in histopathology. His research portfolio, spanning over two decades, has earned him a reputation as a meticulous scientist whose work bridges the gap between radiology, surgery, and pathology. With hundreds of publications and a high cumulative citation count, van Diest remains a pivotal mentor and innovator, shaping how clinicians and researchers approach cancer diagnosis and treatment.
Research Focus
Key Achievements
Top Papers
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