Predictive Value of the Mayo Adhesive Probability (MAP) Score in Laparoscopic Partial Nephrectomies: A Systematic Review from the EAU Section of Uro-Technology (ESUT).

APF LPN MAP Mayo adhesive probability adherent perinephric fat laparoscopic partial nephrectomy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
10 Apr 2024
Historique:
received: 11 03 2024
revised: 03 04 2024
accepted: 06 04 2024
medline: 27 4 2024
pubmed: 27 4 2024
entrez: 27 4 2024
Statut: epublish

Résumé

The Mayo Adhesive Probability (MAP) score is a radiographic scoring system that predicts the presence of adherent perinephric fat (APF) during partial nephrectomies (PNs). The purpose of this systematic review is to summarize the current literature on the application of the MAP score for predicting intraoperative difficulties related to APF and complications in laparoscopic PNs. Three databases, PubMed, Scopus and Cochrane, were screened, from inception to 29 October 2023, taking into consideration the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Guidelines. All the inclusion criteria were met by eight studies. The total operative time was around two hours in most studies, while the warm ischemia time was <30 min in all studies and <20 min in four studies. Positive surgical margins, conversion and transfusion rates ranged from 0% to 6.3%, from 0% to 5.0% and from 0.7% to 7.5%, respectively. Finally, the majority of the complications were classified as Grade I-II, according to the Clavien-Dindo Classification System. The MAP score is a useful tool for predicting not only the presence of APF during laparoscopic PNs but also various intraoperative and postoperative characteristics. It was found to be significantly associated with an increased operative time, estimated blood loss and intraoperative and postoperative complication rates.

Identifiants

pubmed: 38672537
pii: cancers16081455
doi: 10.3390/cancers16081455
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Panagiotis Kallidonis (P)

Department of Urology, University of Patras Hospital, 26504 Patras, Greece.
Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.

Theodoros Spinos (T)

Department of Urology, University of Patras Hospital, 26504 Patras, Greece.

Patricia Zondervan (P)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Amsterdam Medical Centers, 1081 Amsterdam, The Netherlands.

Peter Nyirády (P)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Semmelweis University Budapest, 1083 Budapest, Hungary.

Miguel Ramírez Backhaus (MR)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain.

Salvatore Micali (S)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, University of Modena and Reggio Emilia, 41121 Modena, Italy.

Stephan Hruby (S)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Tauernklinikum Paracelsusstrasse 8, Zell/See, 5700 Salzburg, Austria.

Mario Alvarez-Maestro (M)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Hospital Universitario La Paz, 28046 Madrid, Spain.

Vasileios Tatanis (V)

Department of Urology, University of Patras Hospital, 26504 Patras, Greece.

Evangelos Liatsikos (E)

Department of Urology, University of Patras Hospital, 26504 Patras, Greece.
Department of Urology, Medical University of Vienna, 1090 Vienna, Austria.

Ali Serdar Gözen (AS)

Laparoscopy Working Group, European Association of Urology (EAU) Section of Uro-Technology.
Department of Urology, Medius-Kliniken Ruit, University of Tubingen, 73760 Ostfildern, Germany.

Classifications MeSH