Literature DB >> 25982150

Impact of pre-treatment with somatostatin analogs on surgical management of acromegalic patients referred to a single center.

Susanna Bacigaluppi1,2, Federico Gatto3,2, Pasquale Anania1, Nicola Luigi Bragazzi4, Diego Criminelli Rossi1, Giulia Benvegnu5, Elena Nazzari3, Renato Spaziante6, Massimo Giusti3,2, Diego Ferone3,2, Gianluigi Zona7.   

Abstract

First-line treatment of patients with growth hormone secreting adenomas is surgical resection. Disease control can be obtained by surgery (one or multiple steps), in case followed by medical treatment or adjuvant radiation therapy (radiosurgery or radiotherapy). The impact of pre-surgical treatment with somatostatin analogs (SSAs) on surgical outcome is still controversial. The aim of this study is to retrospectively evaluate the impact of SSA pre-treatment on biochemical outcome and post-surgical hypopituitarism in a consecutive surgical series from a single referral centre, with data covering 17 years' experience and to investigate the possible predictive value of early postoperative insulin-like factor 1 (IGF-I) on long-term biochemical control. Data from 68 acromegalic patients were revised. Endocrinological long-term follow-up (minimum 6 months) was available for 57 patients. Eighty-eight percent of patients received a single-step surgical treatment (single surgery, with or without adjuvant medical therapy). The remaining 12% underwent a multi-step strategy: redo-surgery (three macroadenomas) and/or radiation (four macro- and two microadenomas). Pre-surgical SSA treatment was performed in 77.9% and resulted in a significant lowering of basal IGF-I values (p = 0.0001). Early post-surgical IGF-I was significantly lower in patients biochemically controlled with single surgery alone (p = 0.016) and after overall treatment strategies (p = 0.005). Normalization of GH and IGF-I was obtained in 56.1%, and normalization of either one of them in 27.8% of patients. No major surgery-related complications occurred. Post-treatment hypopituitarism occurred in 11.9% and was lower in SSA pre-treated patients. Our results well compare with other recently published series. Very early post-surgical IGF-I improvement might be a useful predictor for biochemical disease control. Moreover, our results suggest that pre-surgical treatment with somatostatin analogs seems to prevent hypopituitarism.

Entities:  

Keywords:  Acromegaly; IGF-1; Neurosurgery; Pituitary adenomas; Somatostatin analogs

Mesh:

Substances:

Year:  2015        PMID: 25982150     DOI: 10.1007/s12020-015-0619-5

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  44 in total

1.  Pre-surgical treatment with somatostatin analogues in patients with acromegaly: the case against.

Authors:  M Losa; V G Crippa
Journal:  J Endocrinol Invest       Date:  2012-06       Impact factor: 4.256

2.  Epidemiology and long-term survival in acromegaly. A study of 166 cases diagnosed between 1955 and 1984.

Authors:  B A Bengtsson; S Edén; I Ernest; A Odén; B Sjögren
Journal:  Acta Med Scand       Date:  1988

Review 3.  An overview of the epidemiology and genetics of acromegaly.

Authors:  A F Daly; P Petrossians; A Beckers
Journal:  J Endocrinol Invest       Date:  2005       Impact factor: 4.256

4.  Preoperative octreotide treatment of acromegaly: long-term results of a randomised controlled trial.

Authors:  S L Fougner; J Bollerslev; J Svartberg; M Øksnes; J Cooper; S M Carlsen
Journal:  Eur J Endocrinol       Date:  2014-05-27       Impact factor: 6.664

5.  Long-term follow-up results of multimodal treatment with initial surgical approach for acromegaly in a single center.

Authors:  Katrijn Van Rompaey; David Unuane; Maarten Moens; Johnny Duerinck; Kris Poppe; Brigitte Velkeniers; Jean D'Haens
Journal:  Acta Neurol Belg       Date:  2012-09-14       Impact factor: 2.396

6.  Outcome of multimodal therapy in operated acromegalic patients, a study in 115 patients.

Authors:  Frédérique Albarel; Frédéric Castinetti; Isabelle Morange; Bernard Conte-Devolx; Jean Gaudart; Henry Dufour; Thierry Brue
Journal:  Clin Endocrinol (Oxf)       Date:  2013-02       Impact factor: 3.478

7.  Preoperative somatostatin analogs treatment in acromegalic patients with macroadenomas. A meta-analysis.

Authors:  Lei Zhang; Xiaojun Wu; Yong Yan; Jun Qian; Yicheng Lu; Chun Luo
Journal:  Brain Dev       Date:  2014-05-10       Impact factor: 1.961

8.  Factors related to the initial stroke severity of posterior circulation ischemic stroke.

Authors:  Seo Hyun Kim; Ji-Yong Lee; Do Han Kim; Jee Hyun Ham; Young Ki Song; Eun Ju Lim; Chan Ik Park; Sei-Jin Chang; Sung-Soo Lee
Journal:  Cerebrovasc Dis       Date:  2013-07-30       Impact factor: 2.762

9.  Efficacy and complications of neurosurgical treatment of acromegaly.

Authors:  Anna Krzentowska-Korek; Filip Gołkowski; Agata Bałdys-Waligórska; Alicja Hubalewska-Dydejczyk
Journal:  Pituitary       Date:  2011-06       Impact factor: 4.107

Review 10.  Place of preoperative treatment of acromegaly with somatostatin analog on surgical outcome: a systematic review and meta-analysis.

Authors:  Francisco Pita-Gutierrez; Sonia Pertega-Diaz; Salvador Pita-Fernandez; Lara Pena; Gloria Lugo; Susana Sangiao-Alvarellos; Fernando Cordido
Journal:  PLoS One       Date:  2013-04-25       Impact factor: 3.240

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  9 in total

1.  Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

Authors:  Burak Kocak; Emine Sebnem Durmaz; Pinar Kadioglu; Ozge Polat Korkmaz; Nil Comunoglu; Necmettin Tanriover; Naci Kocer; Civan Islak; Osman Kizilkilic
Journal:  Eur Radiol       Date:  2018-11-30       Impact factor: 5.315

2.  Quantitative analyses of T2-weighted MRI as a potential marker for response to somatostatin analogs in newly diagnosed acromegaly.

Authors:  Ansgar Heck; Kyrre E Emblem; Olivera Casar-Borota; Jens Bollerslev; Geir Ringstad
Journal:  Endocrine       Date:  2015-10-16       Impact factor: 3.633

3.  Development and assessment of machine learning algorithms for predicting remission after transsphenoidal surgery among patients with acromegaly.

Authors:  Yanghua Fan; Yansheng Li; Yichao Li; Shanshan Feng; Xinjie Bao; Ming Feng; Renzhi Wang
Journal:  Endocrine       Date:  2019-10-30       Impact factor: 3.633

4.  Pros and cons in endocrine practice: pre-surgical treatment with somatostatin analogues in acromegaly.

Authors:  Marco Losa; Jens Bollerslev
Journal:  Endocrine       Date:  2016-01-19       Impact factor: 3.633

Review 5.  Current perspectives on the impact of clinical disease and biochemical control on comorbidities and quality of life in acromegaly.

Authors:  Federico Gatto; Claudia Campana; Francesco Cocchiara; Giuliana Corica; Manuela Albertelli; Mara Boschetti; Gianluigi Zona; Diego Criminelli; Massimo Giusti; Diego Ferone
Journal:  Rev Endocr Metab Disord       Date:  2019-09       Impact factor: 6.514

6.  The therapeutic response of somatotropinomas according to the T2-weighted signal intensity on the MRI.

Authors:  Carla-Liana Scânteie; Daniel-Corneliu Leucuţa; Cristina Ghervan
Journal:  Med Pharm Rep       Date:  2021-10-30

7.  Pituitary magnetic resonance imaging predictive role in the therapeutic response of growth hormone-secreting pituitary adenomas.

Authors:  Fabio Tortora; Alberto Negro; Ludovica F S Grasso; Annamaria Colao; Rosario Pivonello; Alessandra Splendiani; Luca Brunese; Ferdinando Caranci
Journal:  Gland Surg       Date:  2019-09

8.  Clinical and Radiological Predictors of Biochemical Response to First-Line Treatment With Somatostatin Receptor Ligands in Acromegaly: A Real-Life Perspective.

Authors:  Federica Nista; Giuliana Corica; Lara Castelletti; Keyvan Khorrami; Claudia Campana; Francesco Cocchiara; Gabriele Zoppoli; Alessandro Prior; Diego Criminelli Rossi; Gianluigi Zona; Diego Ferone; Federico Gatto
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-07       Impact factor: 5.555

Review 9.  Octreotide-Resistant Acromegaly: Challenges and Solutions.

Authors:  Giuliana Corica; Marco Ceraudo; Claudia Campana; Federica Nista; Francesco Cocchiara; Mara Boschetti; Gianluigi Zona; Diego Criminelli; Diego Ferone; Federico Gatto
Journal:  Ther Clin Risk Manag       Date:  2020-05-05       Impact factor: 2.423

  9 in total

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