Cargando…

External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model

The management of IPMNs is a challenging and controversial issue because the risk of malignancy is difficult to predict. The present study aimed to assess the clinical usefulness of two preoperative nomograms for predicting malignancy of IPMNs allowing their proper management. Retrospective study of...

Descripción completa

Detalles Bibliográficos
Autores principales: Casadei, Riccardo, Ricci, Claudio, Ingaldi, Carlo, Cornacchia, Alessandro, Migliori, Marina, Di Marco, Mariacristina, Pagano, Nico, Serra, Carla, Alberici, Laura, Minni, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005398/
https://www.ncbi.nlm.nih.gov/pubmed/33620642
http://dx.doi.org/10.1007/s13304-021-00999-4
_version_ 1783672118765944832
author Casadei, Riccardo
Ricci, Claudio
Ingaldi, Carlo
Cornacchia, Alessandro
Migliori, Marina
Di Marco, Mariacristina
Pagano, Nico
Serra, Carla
Alberici, Laura
Minni, Francesco
author_facet Casadei, Riccardo
Ricci, Claudio
Ingaldi, Carlo
Cornacchia, Alessandro
Migliori, Marina
Di Marco, Mariacristina
Pagano, Nico
Serra, Carla
Alberici, Laura
Minni, Francesco
author_sort Casadei, Riccardo
collection PubMed
description The management of IPMNs is a challenging and controversial issue because the risk of malignancy is difficult to predict. The present study aimed to assess the clinical usefulness of two preoperative nomograms for predicting malignancy of IPMNs allowing their proper management. Retrospective study of patients affected by IPMNs. Two nomograms, regarding main (MD) and branch duct (BD) IPMN, respectively, were evaluated. Only patients who underwent pancreatic resection were collected to test the nomograms because a pathological diagnosis was available. The analysis included: 1-logistic regression analysis to calibrate the nomograms; 2-decision curve analysis (DCA) to test the nomograms concerning their clinical usefulness. 98 patients underwent pancreatic resection. The logistic regression showed that, increasing the score of both the MD-IPMN and BD-IPMN nomograms, significantly increases the probability of IPMN high grade or invasive carcinoma (P = 0.029 and P = 0.033, respectively). DCA of MD-IPMN nomogram showed that there were no net benefits with respect to surgical resection in all cases. DCA of BD-IPMN nomogram, showed a net benefit only for threshold probability between 40 and 60%. For these values, useless pancreatic resection should be avoided in 14.8%. The two nomograms allowed a reliable assessment of the malignancy rate. Their clinical usefulness is limited to BD-IPMN with threshold probability of malignancy of 40–60%, in which the patients can be selected better than the “treat all” strategy.
format Online
Article
Text
id pubmed-8005398
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-80053982021-04-16 External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model Casadei, Riccardo Ricci, Claudio Ingaldi, Carlo Cornacchia, Alessandro Migliori, Marina Di Marco, Mariacristina Pagano, Nico Serra, Carla Alberici, Laura Minni, Francesco Updates Surg Original Article The management of IPMNs is a challenging and controversial issue because the risk of malignancy is difficult to predict. The present study aimed to assess the clinical usefulness of two preoperative nomograms for predicting malignancy of IPMNs allowing their proper management. Retrospective study of patients affected by IPMNs. Two nomograms, regarding main (MD) and branch duct (BD) IPMN, respectively, were evaluated. Only patients who underwent pancreatic resection were collected to test the nomograms because a pathological diagnosis was available. The analysis included: 1-logistic regression analysis to calibrate the nomograms; 2-decision curve analysis (DCA) to test the nomograms concerning their clinical usefulness. 98 patients underwent pancreatic resection. The logistic regression showed that, increasing the score of both the MD-IPMN and BD-IPMN nomograms, significantly increases the probability of IPMN high grade or invasive carcinoma (P = 0.029 and P = 0.033, respectively). DCA of MD-IPMN nomogram showed that there were no net benefits with respect to surgical resection in all cases. DCA of BD-IPMN nomogram, showed a net benefit only for threshold probability between 40 and 60%. For these values, useless pancreatic resection should be avoided in 14.8%. The two nomograms allowed a reliable assessment of the malignancy rate. Their clinical usefulness is limited to BD-IPMN with threshold probability of malignancy of 40–60%, in which the patients can be selected better than the “treat all” strategy. Springer International Publishing 2021-02-23 2021 /pmc/articles/PMC8005398/ /pubmed/33620642 http://dx.doi.org/10.1007/s13304-021-00999-4 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Casadei, Riccardo
Ricci, Claudio
Ingaldi, Carlo
Cornacchia, Alessandro
Migliori, Marina
Di Marco, Mariacristina
Pagano, Nico
Serra, Carla
Alberici, Laura
Minni, Francesco
External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title_full External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title_fullStr External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title_full_unstemmed External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title_short External validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (IPMN): from the theory to the clinical practice using the decision curve analysis model
title_sort external validation of nomogram for predicting malignant intraductal papillary mucinous neoplasm (ipmn): from the theory to the clinical practice using the decision curve analysis model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005398/
https://www.ncbi.nlm.nih.gov/pubmed/33620642
http://dx.doi.org/10.1007/s13304-021-00999-4
work_keys_str_mv AT casadeiriccardo externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT ricciclaudio externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT ingaldicarlo externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT cornacchiaalessandro externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT migliorimarina externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT dimarcomariacristina externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT paganonico externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT serracarla externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT albericilaura externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel
AT minnifrancesco externalvalidationofnomogramforpredictingmalignantintraductalpapillarymucinousneoplasmipmnfromthetheorytotheclinicalpracticeusingthedecisioncurveanalysismodel