IAS-LAB PUBLICATIONS
Stellar metallicity from optical and UV spectral indices: Test case for WEAVE-StePS
Authors: Ditrani F. R.; Longhetti M.; La Barbera F.; Iovino A.; Costantin L.; Zibetti S.; Gallazzi A.; Fossati M.; Angthopo J.; Ascasibar Y.; Poggianti B.; Sanchez-Blazquez P.; Balcells M.; Bianconi M.; Bolzonella M.; Cassara L. P.; Cucciati O.; Dalton G.; Ferre-Mateu A.; Garcia-Benito R.; Granett B.; Gullieuszik M.; Ikhsanova A.; Jin S.; Knapen J. H.; McGee S.; Mercurio A.; Morelli L.; Moretti A.; Murphy D.; Pizzella A.; Pozzetti L.; Spiniello C.; Tortora C.; Trager S. C.; Vazdekis A.; Vergani D.; Vulcani B.; Ditrani F.R.; Sánchez-Blázquez P.; Cassarà L.P.; Ferré-Mateu A.; García-Benito R.; Knapen J.H.; Trager S.C.
Journal: ASTRONOMY & ASTROPHYSICS
Published: 2023
DOI: 10.1051/0004-6361/202346563
Context. The upcoming generation of optical spectrographs on four meter-class telescopes, with their huge multiplexing capabilities, excellent spectral resolution, and unprecedented wavelength coverage, will provide high-quality spectra for thousands of galaxies. These data will allow us to examine of the stellar population properties at intermediate redshift, an epoch that remains unexplored by large and deep surveys. Aims. We assess our capability to retrieve the mean stellar metallicity in galaxies at different redshifts and signal-to-noise ratios (S/N), while simultaneously exploiting the ultraviolet (UV) and optical rest-frame wavelength coverage. Methods. The work is based on a comprehensive library of spectral templates of stellar populations, covering a wide range of age and metallicity values and built assuming various star formation histories, to cover an observable parameter space with diverse chemical enrichment histories and dust attenuation. We took into account possible observational errors, simulating realistic observations of a large sample of galaxies carried out with WEAVE at the William Herschel Telescope at different redshifts and S/N values. We measured all the available and reliable indices on the simulated spectra and on the comparison library. We then adopted a Bayesian approach to compare the two sets of measurements in order to obtain the probability distribution of stellar metallicity with an accurate estimate of the uncertainties. Results. The analysis of the spectral indices has shown how some mid-UV indices, such as BL3580 and Fe3619, can provide reliable constraints on stellar metallicity, along with optical indicators. The analysis of the mock observations has shown that even at S/N = 10, the metallicity can be derived within 0.3 dex, in particular, for stellar populations older than 2 Gyr. The S/N value plays a crucial role in the uncertainty of the estimated metallicity and so, the differences between S/N = 10 and S/N = 30 are quite large, with uncertainties of ~0.15 dex in the latter case. On the contrary, moving from S/N = 30 to S/N = 50, the improvement on the uncertainty of the metallicity measurements is almost negligible. Our results are in good agreement with other theoretical and observational works in the literature and show how the UV indicators, coupled with classic optical ones, can be advantageous in constraining metallicities. Conclusions. We demonstrate that a good accuracy can be reached on the spectroscopic measurements of the stellar metallicity of galaxies at intermediate redshift, even at low S/N, when a large number of indices can be employed, including some UV indices. This is very promising for the upcoming surveys carried out with new, highly multiplexed, large-field spectrographs, such as StePS at the WEAVE and 4MOST, which will provide spectra of thousands of galaxies covering large spectral ranges (between 3600 and 9000 Å in the observed frame) at relatively high S/N (>10 Å -1).
Volume: 677
Keywords: Galaxies: evolution; Galaxies: formation; Galaxies: stellar content;
Euclid preparation: XXV. the Euclid Morphology Challenge: Towards model-fitting photometry for billions of galaxies
Authors: AREA MIN. 02 - Scienze fisiche; ASTRONOMY & ASTROPHYSICS###0004-6361; DVP-3997-2022; IVA-4275-2023; CIW-4665-2022; GBV-7145-2022; GWV-3568-2022; EDC-3693-2022; K-9464-2019; HHF-0466-2022; B-4348-2013; CIE-6835-2022; AFS-1680-2022; JQO-3317-2023; DTP-1685-2022; GWA-7849-2022; JMX-5918-2023; EXH-2410-2022; GRO-8426-2022; B-9902-2008; ETY-6882-2022; FZT-3187-2022; ABC-3716-2021; DWU-8294-2022; CUC-4357-2022; JWP-3376-2024; H-5733-2014; DQT-2192-2022; H-4394-2019; EJM-8740-2022; FZO-1254-2022; GAK-9927-2022; CDR-2303-2022; C-4378-2014; GBF-1843-2022; EKV-4052-2022; L-8385-2017; J-2774-2019; AAG-7753-2020; GBO-0318-2022; E-2727-2014; L-8237-2014; E-8021-2017; B-4650-2017; EQA-1830-2022; GLW-3038-2022; H-8587-2015; DVC-6323-2022; B-4928-2015; GBN-8818-2022; LEQ-1557-2024; FZL-7353-2022; A-2693-2010; PCA-2324-2025; HKB-2933-2023; GBB-1963-2022; EUO-2530-2022; ETL-7525-2022; EUK-3820-2022; J-3686-2012; AAR-6622-2021; CQF-5798-2022; DXA-1952-2022; ITP-9423-2023; DVG-8690-2022; GBB-1832-2022; DWB-6758-2022; ABF-7029-2021; DWK-1716-2022; KKH-4411-2024; CSK-3817-2022; FBF-5584-2022; HRW-8595-2023; FBV-0790-2022; CTZ-4163-2022; GBH-2365-2022; EYY-4006-2022; DWQ-9372-2022; DXH-0671-2022; FFG-2233-2022; FGD-1080-2022; DAV-9216-2022; DUU-4676-2022; B-8502-2016; GFM-0308-2022; A-2699-2012; FIV-3763-2022; DWZ-6747-2022; DFQ-7859-2022; AAH-9937-2020; AAX-3485-2021; D-1300-2016; AAA-1489-2019; GNG-7078-2022; DFC-8070-2022; AAB-4321-2020; KEK-6332-2024; AAW-4410-2021; DWT-4779-2022; DZP-5216-2022; FNB-0821-2022; C-3218-2017; HTJ-4919-2023; DWD-4131-2022; DLB-6897-2022; HTM-1531-2023; IVG-7504-2023; FSY-2184-2022; DMX-5934-2022; ABC-8644-2021; DNY-0415-2022; AAR-4345-2020; K-4114-2015; OON-3882-2025; AFE-8548-2022; DXL-4304-2022; GCT-2940-2022; DXO-8435-2022; H-1761-2016; DXM-5348-2022; DPD-7597-2022; IZJ-2041-2023; GBV-4959-2022; I-8498-2012; J-5067-2012; NES-1075-2025; JAE-9097-2023; L-8068-2014; CFK-4637-2022; Q-2220-2015; T-7378-2018; GCB-5227-2022; HNI-8187-2023; GCA-5567-2022; Q-6715-2019; ABD-6783-2021; DZU-8266-2022; EAZ-0566-2022; EIA-6036-2022; FYJ-9637-2022; O-9369-2015; GDW-2905-2022; HTG-8587-2023; CMV-6954-2022; GBY-6621-2022; GAU-7672-2022; B-8712-2017; FNC-4379-2022; DJO-8166-2022; FVK-3262-2022; AAQ-4773-2020; O-9396-2015; CEY-5520-2022; DVH-0096-2022; AAZ-4907-2020; IUS-1317-2023; AAO-6325-2021; KTI-3074-2024; B-3004-2019; DTO-7937-2022; EPI-1133-2022; O-9391-2015; KDL-3231-2024; JFJ-3489-2023; OZD-6988-2025; KUC-6512-2024; CMH-0439-2022; AGZ-3259-2022; EQT-2114-2022; PDR-7717-2025; ERD-3189-2022; CNT-5485-2022; ISC-4027-2023; AAW-1061-2020; CPC-6980-2022; CRZ-8120-2022; C-2920-2017; PDR-5897-2025; ABB-8257-2020; JOZ-7589-2023; S-8590-2017; AAK-4578-2020; FYO-6165-2022; GZL-0460-2022; ITW-2356-2023; DWS-1040-2022; HRX-7202-2023; IZP-8032-2023; FZY-7746-2022; DWL-3001-2022; FLM-0394-2022; ABA-3922-2020; HUJ-7899-2023; U-7309-2018; DZP-0372-2022; LRV-2049-2024; FKW-0156-2022; D-1237-2017; Z-3406-2019; AAI-1245-2021; AAN-7016-2021; LXV-7382-2024; DYG-8551-2022; C-3470-2011; JCV-3612-2023; GCY-0967-2022; AAY-8788-2021; GGM-6223-2022; GEF-7978-2022; FXG-6905-2022; FXS-9180-2022; GBG-9412-2022; GCB-1754-2022; DXU-7894-2022; LXA-1722-2024; ECF-2024-2022; A-9058-2016; EDW-5764-2022; AAC-2083-2020; DYK-4428-2022; DXW-9679-2022; MDK-9017-2025; 14832846900; 24439181000; 57225065454; 23050749700; 55868798300; 57194413215; 36195346900; 35402086700; 7003910265; 57211860571; 56925206200; 9334587700; 55420010100; 56216916000; 58149234200; 24279354600; 57221803833; 7005656061; 6602631317; 8719314400; 57217712130; 7801607411; 57215682687; 57216343493; 15754453800; 57194419532; 55929371000; 6701390827; 14629998500; 57194514014; 8651648800; 24482926400; 7102960752; 6506892241; 6701447926; 7004168457; 35117442400; 56592859600; 8316050500; 57193414472; 7004614794; 54924573500; 56260193000; 55959642400; 37121732700; 6507398813; 55757270100; 56018146100; 8856476200; 7004529134; 26663174300; 6603213706; 57212263363; 6701702242; 6506323808; 55978579700; 6601991850; 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7003963996; 57217789465; 7404952697
Journal: ASTRONOMY & ASTROPHYSICS
Published: 2023
DOI: 10.1051/0004-6361/202245041
The European Space Agency’s Euclid mission will provide high-quality imaging for about 1.5 billion galaxies. A software pipeline to automatically process and analyse such a huge amount of data in real time is being developed by the Science Ground Segment of the Euclid Consortium; this pipeline will include a model-fitting algorithm, which will provide photometric and morphological estimates of paramount importance for the core science goals of the mission and for legacy science. The Euclid Morphology Challenge is a comparative investigation of the performance of five model-fitting software packages on simulated Euclid data, aimed at providing the baseline to identify the best-suited algorithm to be implemented in the pipeline. In this paper we describe the simulated dataset, and we discuss the photometry results. A companion paper is focussed on the structural and morphological estimates. We created mock Euclid images simulating five fields of view of 0.48 deg2 each in the IE band of the VIS instrument, containing a total of about one and a half million galaxies (of which 350 000 have a nominal signal-to-noise ratio above 5), each with three realisations of galaxy profiles (single and double Sérsic, and ‘realistic’ profiles obtained with a neural network); for one of the fields in the double Sérsic realisation, we also simulated images for the three near-infrared YE, JE, and HE bands of the NISP-P instrument, and five Rubin/LSST optical complementary bands (u, g, r, i, and z), which together form a typical dataset for an Euclid observation. The images were simulated at the expected Euclid Wide Survey depths. To analyse the results, we created diagnostic plots and defined metrics to take into account the completeness of the provided catalogues, as well as the median biases, dispersions, and outlier fractions of their measured flux distributions. Five model-fitting software packages (DeepLeGATo, Galapagos-2, Morfometryka, ProFit, and SourceXtractor++) were compared, all typically providing good results. Of the differences among them, some were at least partly due to the distinct strategies adopted to perform the measurements. In the best-case scenario, the median bias of the measured fluxes in the analytical profile realisations is below 1% at a signal-to-noise ratio above 5 in IE, and above 10 in all the other bands; the dispersion of the distribution is typically comparable to the theoretically expected one, with a small fraction of catastrophic outliers. However, we can expect that real observations will prove to be more demanding, since the results were found to be less accurate for the most realistic realisation. We conclude that existing model-fitting software can provide accurate photometric measurements on Euclid datasets. The results of the challenge are fully available and reproducible through an online plotting tool.
Volume: 671
Keywords: Galaxies: photometry; Methods: data analysis; Surveys; Techniques: photometric;
Towards a muon collider
Authors: Non assegn; AREA MIN. 02 - Scienze fisiche; AREA MIN. 09 - Ingegneria industriale e dell'informazione; THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS###1434-6044; FYK-9474-2022; JXH-3132-2024; CBT-5100-2022; CBO-5484-2022; GXG-4131-2022; HDN-9630-2022; GAF-5089-2022; CBM-6264-2022; EJZ-8437-2022; ELP-6741-2022; ELT-7023-2022; CBV-3628-2022; HWS-2912-2023; EJO-6831-2022; AAD-1249-2019; N-2616-2016; EJP-9173-2022; KFI-9671-2024; OPO-1688-2025; OUW-4280-2025; ABF-2326-2020; ELQ-1684-2022; OFI-4992-2025; HSI-4895-2023; E-8371-2014; AAZ-7440-2021; GBJ-0556-2022; LND-6444-2024; HPR-0543-2023; EMV-7074-2022; CGM-2065-2022; DUA-7658-2022; CHD-5253-2022; FZC-0419-2022; CFN-0061-2022; MQS-0901-2025; GDW-7839-2022; KHA-8040-2024; ENH-6825-2022; CHK-2982-2022; OFB-9067-2025; GCN-2143-2022; EOX-2064-2022; GOJ-9505-2022; ABH-1850-2021; GCN-3824-2022; EOQ-2444-2022; FZT-9239-2022; CJG-1785-2022; EQO-1488-2022; L-3623-2018; CIC-4585-2022; HSS-4497-2023; DUK-8749-2022; GPX-8560-2022; ABF-5841-2020; DUZ-4694-2022; KRQ-4175-2024; KKS-4321-2024; FYB-3471-2022; ITZ-9738-2023; DVN-0598-2022; KGK-4347-2024; CJH-9758-2022; AAY-3232-2020; 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HVD-5171-2023; MLN-7196-2025; JNT-9826-2023; GXM-8803-2022; DVS-6196-2022; FFR-5442-2022; DTP-9281-2022; HZZ-3425-2023; DXX-5838-2022; IFJ-3836-2023; AAC-4015-2021; DCC-1557-2022; AAU-6790-2021; LNW-5957-2024; P-5265-2014; FJI-7907-2022; H-4121-2019; KGZ-2480-2024; IEC-9911-2023; JHW-5806-2023; FZU-4399-2022; DXP-8049-2022; DTV-2203-2022; FHW-2051-2022; MQN-8435-2025; JDM-7550-2023; FJF-7561-2022; GEZ-2602-2022; GYA-2528-2022; FIO-2556-2022; NAZ-0784-2025; DET-5763-2022; GSD-6351-2022; HPN-8412-2023; GBV-0788-2022; JMU-4886-2023; GCW-4690-2022; ABC-6479-2021; GAX-5411-2022; DVQ-7540-2022; GDT-6804-2022; C-9292-2015; DXZ-1813-2022; NPJ-2611-2025; GDS-3478-2022; KGV-8151-2024; FME-5262-2022; IEN-7067-2023; FRF-9581-2022; DII-0652-2022; OSO-4797-2025; DXB-3939-2022; FNQ-0369-2022; FPZ-3381-2022; JAJ-5712-2023; JKH-5719-2023; IUR-7139-2023; OSM-4812-2025; DLC-3167-2022; J-8413-2017; GFM-7428-2022; DZX-1700-2022; A-8220-2018; FSU-7131-2022; FPG-6809-2022; AAJ-8429-2020; JRZ-0528-2023; KZV-0289-2024; 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Journal: EUROPEAN PHYSICAL JOURNAL C
Published: 2023
DOI: 10.1140/epjc/s10052-023-11889-x
A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions at high luminosity and 10 TeV centre of mass energy are being investigated by the recently-formed International Muon Collider Collaboration. This Review summarises the status and the recent advances on muon colliders design, physics and detector studies. The aim is to provide a global perspective of the field and to outline directions for future work.
Volume: 83
Personalised management of patients with hepatocellular carcinoma: a multiparametric therapeutic hierarchy concept
Authors: Vitale Alessandro; Cabibbo Giuseppe; Iavarone Massimo; Vigano Luca; Pinato DavidJ; Ponziani Francesca Romana; Lai Quirino; Casadei-Gardini Andrea; Celsa Ciro; Galati Giovanni; Gambato Martina; Crocetti Laura; Renzulli Matteo; Giannini Edoardo G.; Farinati Fabio; Trevisani Franco; Cillo Umberto
Journal: LANCET ONCOLOGY
Published: 2023
DOI: 10.1016/S1470-2045(23)00186-9
Advances in the surgical and systemic therapeutic landscape of hepatocellular carcinoma have increased the complexity of patient management. A dynamic adaptation of the available staging-based algorithms is required to allow flexible therapeutic allocation. In particular, real-world hepatocellular carcinoma management increasingly relies on factors independent of oncological staging, including patients’ frailty, comorbid burden, critical tumour location, multiple liver functional parameters, and specific technical contraindications impacting the delivery of treatment and resource availability. In this Policy Review we critically appraise how treatment allocation strictly based on pretreatment staging features has shifted towards a more personalised treatment approach, in which expert tumour boards assume a central role. We propose an evidence-based framework for hepatocellular carcinoma treatment based on the novel concept of multiparametric therapeutic hierarchy, in which different therapeutic options are ordered according to their survival benefit (ie, from surgery to systemic therapy). Moreover, we introduce the concept of converse therapeutic hierarchy, in which therapies are ordered according to their conversion abilities or adjuvant abilities (ie, from systemic therapy to surgery).
Volume: 24 Pages: E312-E322
Flexible fully organic indirect detector for megaelectronvolts proton beams
Authors: Calvi Sabrina; Basirico Laura; Carturan Sara M.; Fratelli Ilaria; Valletta Antonio; Aloisio Alberto; De Rosa Stefania; Pino Felix; Campajola Marcello; Ciavatti Andrea; Tortora Luca; Rapisarda Matteo; Moretto Sandra; Verdi Matteo; Bertoldo Stefano; Cesarini Olivia; Di Meo Paolo; Chiari Massimo; Tommasino Francesco; Sarnelli Ettore; Mariucci Luigi; Branchini Paolo; Quaranta Alberto; Fraboni Beatrice; Basiricò Laura
Journal: NPJ FLEXIBLE ELECTRONICS
Published: 2023
DOI: 10.1038/s41528-022-00229-w
A flexible, fully organic detector for proton beams is presented here. The detector operates in the indirect mode and is composed of a polysiloxane-based scintillating layer coupled to an organic phototransistor, that is assessed for flexibility and low-voltage operation (V = −1 V), with a limit of detection of 0.026 Gy min−1. We present a kinetic model able to precisely reproduce the dynamic response of the device under irradiation and to provide further insight into the physical processes controlling it. This detector is designed to target real-time and in-situ dose monitoring during proton therapy and demonstrates mechanical flexibility and low power operation, assessing its potential employment as a personal dosimeter with high comfort and low risk for the patient. The results show how such a proton detector represents a promising tool for real-time particle detection over a large area and irregular surfaces, suitable for many applications, from experimental scientific research to innovative theranostics.
Volume: 7
Author Correction: The repertoire of mutational signatures in human cancer (Nature, (2020), 578, 7793, (94-101), 10.1038/s41586-020-1943-3)
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6602603515
Journal: NATURE
Published: 2023
DOI: 10.1038/s41586-022-05600-5
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium were listed in the Supplementary Information; however, these members should have been included in the main paper. The original Article has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. Additional minor corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper.
Volume: 614 Pages: E41-E41
Author Correction: The evolutionary history of 2,658 cancers (Nature, (2020), 578, 7793, (122-128), 10.1038/s41586-019-1907-7)
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Journal: NATURE
Published: 2023
DOI: 10.1038/s41586-022-05601-4
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium were listed in the Supplementary Information; however, these members should have been included in the main paper. The original Article has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. Additional minor corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper.
Volume: 614 Pages: E42-E42
Author Correction: Butler enables rapid cloud-based analysis of thousands of human genomes (Nature Biotechnology, (2020), 38, 3, (288-292), 10.1038/s41587-019-0360-3)
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Journal: NATURE BIOTECHNOLOGY
Published: 2023
DOI: 10.1038/s41587-022-01554-1
Correction to: Nature Biotechnology, published online 5 February 2020. In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium were listed in the Supplementary Information; however, these members should have been included in the main paper. The original Article has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. Additional minor corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper, and in the PCAWG Technical Working Group, the two affiliations for Miguel Vazquez have been changed from Massachusetts General Hospital, Boston, MA, USA and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain to Barcelona Supercomputing Center, Barcelona, Spain and Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Volume: 41 Pages: 577
Author Correction: Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (Nature Genetics, (2020), 52, 3, (294-305), 10.1038/s41588-019-0564-y)
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Journal: NATURE GENETICS
Published: 2023
DOI: 10.1038/s41588-023-01318-w
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium were listed in the Supplementary Information; however, these members should have been included in the main paper. The original Article has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. Additional corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper.
Volume: 55 Pages: 1079-1079
Italian Guidelines for the Management of Prolactinomas
Authors: Cozzi Renato; Auriemma Renata Simona; De Menis Ernesto; Esposito Felice; Ferrante Emanuele; Iati Giuseppe; Mazzatenta Diego; Poggi Maurizio; Ruda Roberta; Tortora Fabio; Cruciani Fabio; Mitrova Zuzana; Saulle Rosella; Vecchi Simona; Basile Michele; Cappabianca Paolo; Paoletta Agostino; Papini Enrico; Persichetti Agnese; Samperi Irene; Scoppola Alessandro; Bozzao Alessandro; Caputo Marco; Doglietto Francesco; Ferrau Francesco; Lania Andrea Gerardo; Laureti Stefano; Lello Stefano; Locatelli Davide; Maffei Pietro; Minniti Giuseppe; Peri Alessandro; Ruini Chiara; Settanni Fabio; Silvani Antonio; Veronese Nadia; Grimaldi Franco; Attanasio Roberto; Iatì Giuseppe; Rudà Roberta; Ferraù Francesco
Journal: ENDOCRINE METABOLIC & IMMUNE DISORDERS-DRUG TARGETS
Published: 2023
DOI: 10.2174/1871530323666230511104045
Introduction: This guideline (GL) is aimed at providing a reference for the management of prolactin (PRL)-secreting pituitary adenoma in adults. However, pregnancy is not considered. Methods: This GL has been developed following the methods described in the Manual of the Italian National Guideline System. For each question, the panel appointed by Associazione Medici Endocrinologi (AME) has identified potentially relevant outcomes, which have then been rated for their impact on therapeutic choices. Only outcomes classified as “critical” and “important” have been considered in the systematic review of evidence and only those classified as “critical” have been considered in the formulation of recommendations. Results: The present GL provides recommendations regarding the role of pharmacological and neurosurgical treatment in the management of prolactinomas. We recommend cabergoline (Cab) vs. bromocriptine (Br) as the first-choice pharmacological treatment to be employed at the minimal effective dose capable of achieving the regression of the clinical picture. We suggest that medication and surgery are offered as suitable alternative first-line treatments to patients with non-invasive PRL-secreting adenoma, regardless of size. We suggest Br as an alternative drug in patients who are intolerant to Cab and are not candidates for surgery. We recommend pituitary tumor resection in patients 1) without any significant neuro-ophthalmologic improvement within two weeks from the start of Cab, 2) who are resistant or do not tolerate Cab or other dopamine-agonist drugs (DA), 3) who escape from previous efficacy of DA, and 4) who are unwilling to undergo a chronic DA treatment. We recommend that patients with progressive disease notwithstanding previous tumor resection and ongoing DA should be managed by a multidisciplinary team with specific expertise in pituitary diseases using a multimodal approach that includes repeated surgery, radiother-apy, DA, and possibly, the use of temozolomide. Conclusion: The present GL is directed to endocrinologists, neurosurgeons, and gynecologists working in hospitals, in territorial services or private practice, and to general practitioners and patients.
Volume: 23 Pages: 1459-1479
Keywords: bromocriptine; cabergo-line; cost-efficacy analysis; macroprolactinoma; microprolactinoma; neurosurgery; prolactin-secreting tumor; Prolactinoma; radiotherapy; temozolomide;