Literature DB >> 22446019

A classification tree approach for pituitary adenomas.

Alberto Righi1, Patrizia Agati, Andrea Sisto, Giorgio Frank, Marco Faustini-Fustini, Raffaele Agati, Diego Mazzatenta, Anna Farnedi, Federico Menetti, Gianluca Marucci, Maria P Foschini.   

Abstract

It is difficult to evaluate the recurrence and progression potential of pituitary adenomas at presentation. The World Health Organization classification of endocrine tumors suggests that invasion of the surrounding structures, size at presentation, an elevated mitotic index, a Ki-67 labeling index higher than 3%, and extensive p53 expression are indicators of aggressive behavior. Nevertheless, Ki-67 and p53 labeling index evaluation is subject to interobserver variability, and their cutoff values are controversial. In the present study, the prognostic value of Ki-67 and p53 protein labeling indices and their correlation with clinical and radiologic parameters were evaluated using digital image analysis in a series of 166 pituitary adenomas in patients having undergone a follow-up of at least 6 years to evaluate the impact on the recurrence and progression potential of pituitary adenomas. The data were analyzed using the receiver operating characteristic curve and classification and regression tree analysis. The results showed that, in the unstratified data set, the commonly used threshold of the Ki-67 index of 3% has a high specificity (89.5%) but a low sensitivity (53.8%). Unsatisfactory performance results were obtained by performing receiver operating characteristic curve analysis on the p53 labeling index. On the contrary, the classification and regression tree analysis-derived tree demonstrated that each pituitary adenoma subtype has specific prognostic factors. Specifically, the Ki-67 labeling index is a useful prognostic factor in nonfunctioning, adrenocorticotropin, and prolactin adenomas, but with different thresholds. In conclusion, our study emphasizes that the term pituitary adenomas includes different types of tumors, each one having specific prognostic factors.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22446019     DOI: 10.1016/j.humpath.2011.12.003

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  18 in total

1.  Identification of immune correlates of protection in Shigella infection by application of machine learning.

Authors:  Jorge M Arevalillo; Marcelo B Sztein; Karen L Kotloff; Myron M Levine; Jakub K Simon
Journal:  J Biomed Inform       Date:  2017-08-09       Impact factor: 6.317

Review 2.  Clinical Impact of the Current WHO Classification of Pituitary Adenomas.

Authors:  W Saeger; J Honegger; M Theodoropoulou; U J Knappe; C Schöfl; S Petersenn; R Buslei
Journal:  Endocr Pathol       Date:  2016-06       Impact factor: 3.943

Review 3.  Radically resected pituitary adenomas: prognostic role of Ki 67 labeling index in a monocentric retrospective series and literature review.

Authors:  Sabrina Chiloiro; Antonio Bianchi; Francesco Doglietto; Chiara de Waure; Antonella Giampietro; Alessandra Fusco; Donato Iacovazzo; Linda Tartaglione; Francesco Di Nardo; Francesco Signorelli; Libero Lauriola; Carmelo Anile; Guido Rindi; Giulio Maira; Alfredo Pontecorvi; Laura De Marinis
Journal:  Pituitary       Date:  2014-06       Impact factor: 4.107

4.  K i -67/MIB-1 and Recurrence in Pituitary Adenoma.

Authors:  Kent Tadokoro; Colten Wolf; Joseph Toth; Cara Joyce; Meharvan Singh; Anand Germanwala; Chirag Patel
Journal:  J Neurol Surg B Skull Base       Date:  2021-09-21

5.  CUL4A is overexpressed in human pituitary adenomas and regulates pituitary tumor cell proliferation.

Authors:  Yangyang Xu; Yunshan Wang; Guangxin Ma; Qin Wang; Guangwei Wei
Journal:  J Neurooncol       Date:  2014-01-14       Impact factor: 4.130

Review 6.  Non-functioning pituitary adenomas: growth and aggressiveness.

Authors:  Kristin Astrid Øystese; Johan Arild Evang; Jens Bollerslev
Journal:  Endocrine       Date:  2016-04-11       Impact factor: 3.633

Review 7.  In search of a prognostic classification of endocrine pituitary tumors.

Authors:  Jacqueline Trouillas
Journal:  Endocr Pathol       Date:  2014-06       Impact factor: 3.943

8.  The impact of immunohistochemical markers of Ki-67 and p53 on the long-term outcome of growth hormone-secreting pituitary adenomas: A cohort study.

Authors:  Maysam Alimohamadi; Vahid Ownagh; Leila Mahouzi; Afshin Ostovar; Kazem Abbassioun; Abbas Amirjmshidi
Journal:  Asian J Neurosurg       Date:  2014 Jul-Sep

9.  Histological criteria for atypical pituitary adenomas - data from the German pituitary adenoma registry suggests modifications.

Authors:  Christian P Miermeister; Stephan Petersenn; Michael Buchfelder; Rudolf Fahlbusch; Dieter K Lüdecke; Annett Hölsken; Markus Bergmann; Hans Ulrich Knappe; Volkmar H Hans; Jörg Flitsch; Wolfgang Saeger; Rolf Buslei
Journal:  Acta Neuropathol Commun       Date:  2015-08-19       Impact factor: 7.801

10.  Malignancy risk assessment in patients with thyroid nodules using classification and regression trees.

Authors:  Shokouh Taghipour Zahir; Fariba Binesh; Mehrdad Mirouliaei; Elias Khajeh; Sina Noshad
Journal:  J Thyroid Res       Date:  2013-09-11
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