Management of Pituitary Tumors: Current and Future Treatment Options—2nd Edition

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Endocrinology & Metabolism".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 911

Special Issue Editor


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Guest Editor
1. Institute of Endocrinology, Beilinson Campus, Rabin Medical Center, Petach-Tikva, Israel
2. Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
Interests: pituitary; acromegaly; cushing; prolactinoma; pituitary adenoma
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Special Issue Information

Dear Colleagues,

It is our pleasure to invite you to contribute to the Special Issue entitled “Management of Pituitary Tumors: Current and Future Treatment Options—2nd Edition”. This is a new Special Issue proceeding from the five papers we published in the first edition. For more details, please visit: https://www.mdpi.com/journal/jcm/special_issues/pituitary_tumors.

Pituitary disorders may be associated with significant morbidity and may require the use of multiple treatment modalities. As in other disciplines of medicine, the field of pituitary disorders has undergone rapid advances, which have transformed our understanding of the important principles underlying normal and abnormal pituitary function as well as our approach to the management of pituitary disorders.

This Special Issue will focus on current and future medical treatment options for patients with various pituitary disorders, including functional and non-functional pituitary adenomas. Experts in the field of medical treatment of pitutiary disorders will provide updates on the management and outcomes of the available, new, and emerging therapies.

Prof. Dr. Amit Akirov
Guest Editor

Manuscript Submission Information

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Keywords

  • pituitary
  • cushing syndrome
  • acromegaly
  • prolactinoma
  • non-functioning pituitary adenoma
  • hypopituitarism
  • hypophysitis

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Related Special Issue

Published Papers (2 papers)

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Research

13 pages, 833 KiB  
Article
Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics
by Herwin Speckter, Marko Radulovic, Erwin Lazo, Giancarlo Hernandez, Jose Bido, Diones Rivera, Luis Suazo, Santiago Valenzuela, Peter Stoeter and Velicko Vranes
J. Clin. Med. 2025, 14(9), 2896; https://doi.org/10.3390/jcm14092896 - 23 Apr 2025
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Abstract
Background/Objectives: Gamma knife radiosurgery (GKRS) is widely performed as an adjuvant management of patients with residual or recurrent pituitary adenoma (PA). However, the variability in the tumor volume response to GKRS emphasizes the need for reliable predictors of treatment outcomes. The application of [...] Read more.
Background/Objectives: Gamma knife radiosurgery (GKRS) is widely performed as an adjuvant management of patients with residual or recurrent pituitary adenoma (PA). However, the variability in the tumor volume response to GKRS emphasizes the need for reliable predictors of treatment outcomes. The application of radiomics, an analytical approach for quantitative imaging, remains unexplored in predicting treatment responses for PAs. This study aimed to pioneer the use of radiomic MRI analysis to predict the volumetric response of PA to GKRS. Methods: This retrospective observational cohort study involved 81 patients who underwent GKRS for PA. Pre-treatment 3-Tesla MRI scans were used to extract radiomic features capturing the intensity, shape, and texture of the tumors. Radiomic signatures were generated using the least absolute shrinkage and selection operator (LASSO) for feature selection, in conjunction with several classifiers: random forest, naïve Bayes, kNN, logistic regression, neural network, and SVM. Results: The models demonstrated predictive performance in the test folds, with AUC values ranging from 0.759 to 0.928 and R2 values between 0.272 and 0.665. Single-sequence T1w, dual-sequence T1w + CE-T1w, and multi-modality including clinicopathological (CP) parameters (CP + T1w + CE-T1w) achieved rather similar prognostic performance in the test folds, with respective AUCs of 0.928, 0.899, and 0.909. All these radiomics models significantly outperformed a benchmark model involving only CP features (AUC = 0.846). Conclusions: This study represents a radiomic analysis focused on predicting the volume response of PAs to GKRS to facilitate treatment individualization. The developed MRI-based radiomics models exhibited superior classification performance compared with the benchmark model composed solely of standard clinicopathological parameters. Full article
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14 pages, 679 KiB  
Article
Real-World Experience with Pasireotide-LAR in Cushing’s Disease: Single-Center 12-Month Observational Study
by Lukasz Dzialach, Wioleta Respondek and Przemyslaw Witek
J. Clin. Med. 2025, 14(8), 2794; https://doi.org/10.3390/jcm14082794 - 18 Apr 2025
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Abstract
Background/Objectives: Pasireotide-LAR represents a novel therapeutic option for patients with Cushing’s disease (CD). Its efficacy and safety were assessed in clinical trials; however, the real-world evidence is still scarce. Methods: The study aimed to evaluate the impact of 12-month pasireotide-LAR therapy [...] Read more.
Background/Objectives: Pasireotide-LAR represents a novel therapeutic option for patients with Cushing’s disease (CD). Its efficacy and safety were assessed in clinical trials; however, the real-world evidence is still scarce. Methods: The study aimed to evaluate the impact of 12-month pasireotide-LAR therapy on disease control, glucose metabolism, lipid profiles, and adverse effects in a real-life setting. We retrospectively studied prospectively collected data of patients with persistent or recurrent CD administered with pasireotide-LAR in a single pituitary center. Results: Mean urinary free cortisol (mUFC) showed a sustained decrease from baseline, with the most pronounced decrease in the first 3 months of therapy (p = 0.007). The analysis of mean late-night salivary cortisol showed fluctuations over time, with the largest mean reduction in mLNSC at 3 months. During the therapy, an improvement in blood pressure control was observed, with a significant decrease in systolic blood pressure during the first 6 months of treatment (p = 0.005). Hyperglycemia was the most common adverse effect. Fasting plasma glucose and glycated hemoglobin (HbA1c) showed a gradual increase during pasireotide-LAR treatment, with the HbA1c significantly increasing at the last follow-up (p = 0.04). Conclusions: Pasireotide-LAR is an effective alternative treatment in selected patients with CD. Pasireotide-LAR is overall safe and well tolerated, with hyperglycemia being the most common but manageable adverse event. Full article
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