Bertil Ekman

Publikationer

2026

Camilla Jerning, Charlotte Hoybye, Sophie Bensing, Britt Eden Engstrom, Nasrin Al-Shamkhi, Bertil Ekman, Lorenza Bonelli, Henrik Borg, Pia Burman, Per Dahlqvist, Victor Hantelius, Oskar Ragnarsson, Anna Svensson, Jeanette Wahlberg, Anna-Karin Akerman, Katarina Berinder, Maria Petersson (2026) Natural history of conservatively managed nonfunctioning pituitary macroadenomas in the elderly: A study from the Swedish Pituitary Registry Pituitary, Vol. 29, Artikel 147 (Artikel i tidskrift) https://dx.doi.org/10.1007/s11102-026-01752-z

Erika Tsatsaris, Jonas Robért, Pia Burman, Katarina Berinder, Lorenza Bonelli, Per Dahlqvist, Charlotte Hoybye, Oskar Ragnarsson, Konstantina Vouzouneraki, Anna-Karin Akerman, Bertil Ekman, Britt Eden Engstrom (2026) Acromegaly is associated with an increased incidence of primary malignant tumors: data from a national study in Sweden Journal of Clinical Endocrinology and Metabolism, Vol. 111, s. e2135-e2145 (Artikel i tidskrift) https://dx.doi.org/10.1210/clinem/dgag137

Jonas Robért, Per Karlsson, Sofia Melin, Sandro Rossitti, Bertil Ekman (2026) Cavernous sinus sampling in the diagnosis of Endogenous Cushing syndrome INTERDISCIPLINARY NEUROSURGERY-ADVANCED TECHNIQUES AND CASE MANAGEMENT, Vol. 44, Artikel 102248 (Artikel i tidskrift) https://dx.doi.org/10.1016/j.inat.2026.102248

Evangelia Baldimtsi, Bertil Ekman, Per A Whiss, Jeanette Wahlberg (2026) Influence of hormonal levels on atherosclerotic risk markers and platelet activation related to diabetic complications in patients with type 1 diabetes Journal of Endocrinological Investigation, Vol. 49, s. 1413-1420, Artikel PMID 7806594 (Artikel i tidskrift) https://dx.doi.org/10.1007/s40618-026-02819-1

Konstantina Vouzouneraki, Erik Ylipää, Tommy Olsson, Katarina Berinder, Charlotte Hoybye, Maria Petersson, Sophie Bensing, Anna-Karin Akerman, Henrik Borg, Bertil Ekman, Jonas Robért, Britt Eden Engstrom, Oskar Ragnarsson, Pia Burman, Per Dahlqvist (2026) Detection of Acromegaly From Facial Images Using Machine Learning: A Comparison With Clinical Experts Journal of the Endocrine Society, Vol. 10, Artikel bvaf203 (Artikel i tidskrift) https://dx.doi.org/10.1210/jendso/bvaf203