Review, 2019

Management of Nodal Disease in Advanced Cervical Cancer

Seminars in Radiation Oncology, ISSN 1053-4296, Volume 29, 2, Pages 158-165, 10.1016/j.semradonc.2018.11.002

Contributors

Jurgenliemk-Schulz I.M. 0000-0003-4911-006X (Corresponding author) [1] Beriwal S. [2] de Leeuw A. 0000-0002-0564-2112 [1] Lindegaard J.C. 0000-0003-2426-7255 [3] Nomden C.N. 0000-0002-5553-7468 [1] Potter R. [4] Tanderup K. 0000-0001-7980-0681 [3] Viswanathan A.N. [5] Erickson B. [6]

Affiliations

  1. [1] University Medical Center Utrecht
  2. [NORA names: Netherlands; Europe, EU; OECD];
  3. [2] University of Pittsburgh Cancer Institute
  4. [NORA names: United States; America, North; OECD];
  5. [3] Aarhus University Hospital
  6. [NORA names: Central Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Medical University of Vienna
  8. [NORA names: Austria; Europe, EU; OECD];
  9. [5] Sidney Kimmel Comprehensive Cancer Center
  10. [NORA names: United States; America, North; OECD];

Abstract

During the last decade the adoption of image-guided adaptive brachytherapy has dramatically improved local control in patients with locally advanced cervical cancer (LACC) treated with radiotherapy and concomitant chemotherapy; however, nodal failure remains an obstacle. Metastatic lymph nodes can be detected by surgical and imaging approaches with different sensitivities and specificities, that improve the definition of relevant targets for macroscopic and microscopic nodal disease, and that influence our understanding of dose levels of external beam radiotherapy. Systematic use of modern radiotherapy techniques including intensity modulated radiotherapy and simultaneously integrated nodal boosts in combination with daily position verification is emerging as increasingly important for obtaining nodal control in LACC. This review summarizes published and ongoing efforts for optimizing nodal disease treatment in LACC, elaborates the state of the art approach for nodal disease detection, radiotherapy planning and delivery, and discusses future investigational efforts needed for precise optimization.

Funders

  • Elekta
  • Varian Medical Systems and Elekta
  • Varian Medical Systems

Data Provider: Elsevier