Surveillance Interval Optimization

Surveillance Interval Optimization is a methodological framework within recurrence surveillance that systematically determines the optimal timing and frequency of monitoring activities to maximize early detection of recurrence while minimizing resource utilization and patient burden.

29

Publications

857

Citations

118

Authors

55

Institutions

Publications per year

2017–2026

6

Authors

118

  1. MZ
    Marvin Zelen

    Dana-Farber Cancer Institute, United States

    2 publications · 114 citations

    2

    h-index

  2. RR
    Robert Roeloffs

    New York University, United States

    2 publications · 24 citations

    2

    h-index

  3. WJ
    Wade J. Sexton

    Moffitt Cancer Center, United States

    1 publications · 11 citations

    1

    h-index

  4. JE
    Julia E. Crook

    Mayo Clinic in Florida, United States

    1 publications · 12 citations

    1

    h-index

  5. TS
    Tae-Yong Sung

    Korea Atomic Energy Research Institute, South Korea

    1 publications · 34 citations

    1

    h-index

1–5 of 118

Venues

  1. Naval Research Logistics Quarterly

    3 publications · 70 citations

    3

    h-index

  2. Reliability Engineering & System Safety

    3 publications · 93 citations

    3

    h-index

  3. Gastrointestinal Endoscopy

    2 publications · 56 citations

    2

    h-index

  4. Biometrika

    2 publications · 114 citations

    2

    h-index

  5. Endocrine Related Cancer

    1 publications · 59 citations

    1

    h-index

1–5