Optimization of surgical treatment of advanced ovarian cancer: a Spanish expert perspective

Autores de IIS La Fe

• Santiago Domingo Del Pozo

  Autor

Participantes ajenos a IIS La Fe

• Minig, L
• de Santiago, J
• Gil-Moreno, A
• Martinez, S
• Rodriguez-Garzotto, A
• Chiva, L

Grupos

• Medicina Reproductiva

  

  Investigador Principal

  José Morales Roselló

Abstract

BackgroundOptimal upfront treatment of patients with advanced ovarian cancer is complex and requires the adequate function of a multidisciplinary team. Specific standard of quality of care needs to be taken into consideration.MethodsA literature search in PubMed was performed using the following criteria: (ovarian neoplasms[MeSH Terms] OR (ovarian[All Fields] AND neoplasms[All Fields]) OR ovarian neoplasms[All Fields] OR (ovarian[All Fields] AND cancer[All Fields]) OR ovarian cancer[All Fields])[Date - Publication]: 2018/01/14[Date - Publication]).ResultsThis article describes how to optimize the surgical management of advanced ovarian cancer, to achieve the best results in terms of survival and quality of life. For this purpose, this document will cover aspects related to pre-, intra- and postoperative care of newly diagnosed advanced ovarian cancer patients.ConclusionOptimizing upfront treatment of patients with advanced ovarian cancer is complex and requires a structured quality management program including the wise judgment of a multidisciplinary team. Surgeries performed by gynecologic oncologists with formal training in cytoreductive techniques at referral centers are crucial factors to obtain better clinical and oncological outcomes. However, other factors such as the patient's clinical status, the hospital infrastructure and equipment, as well as the tumor biology of each individual patient should also be taken into account before deciding on an initial therapeutic strategy for advanced-stage ovarian cancer to offer patients the best quality of care.

Keywords

• Ovarian cancer; Peritoneal carcinomatosis; Quality of care; Advanced stage; Optimization of treatment