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M. Bobrowicz

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Review Open access Oct 2026

Management of congenital adrenal hyperplasia due to 21-hydroxylase deficiency: an update.

Congenital adrenal hyperplasia (CAH) represents a group of autosomal recessive disorders characterized by enzyme deficiencies thatimpair adrenal steroidogenesis, most commonly due to 21-hydroxylase deficiency. The biochemical defects in CAH translate to a spectrumof clinical consequences, which include adrenal insuffic...

M. Bobrowicz, Z. Roszkowska, J. Domański et al. · 0 citations
Review Open access Oct 2026

MACS: mild by definition, challenging by nature

Mild autonomous cortisol secretion (MACS) is the most frequent form of cortisol excess in patients with adrenal incidentalomas. Although it lacks the classical phenotype of overt Cushing’s syndrome, MACS is increasingly recognized as a clinically relevant condition associated with multisystem complications rather than...

G. Bluszcz, Z. Roszkowska, J. Domański et al. · 0 citations
Open access Sep 2026

Surgical management of ectopic Cushing’s syndrome from a pulmonary carcinoid secreting CRH supported by intraoperative ACTH monitoring – a case report

An intraoperative ACTH monitoring during resection of hormone-secreting neuroendocrine neoplasms remains a subject of a debate. We present the case of a 36-year-old man with clinical and biochemical features of ACTH-dependent hypercortisolism. Dynamic endocrine testing, including the high-dose dexamethasone suppression...

Agata Pokrzywa, J. Domański, Z. Roszkowska et al. · 0 citations
Open access Aug 2026

EP63 - ECE_3317 - Natural history of large adrenal tumors

Large adrenal tumors are characterized, imaging sensitivity for detecting malignancy is high in LATs, and malignancy was diagnosed in lesions with certain benign features (homogenous <10 HU), and further follow-up of seemingly benign LATs is necessary.

Magdalena Macech, Maciej Stępień, Joanna Podgórska et al. · 0 citations
Open access Aug 2026

EP183 - ECE_3184 - Artificial intelligence in adrenal imaging: detection and segmentation of adrenal glands

An AI-based algorithm for automated detection and 3D segmentation of adrenal glands in non-contrast CT scans is developed and validated, offering a robust and scalable tool for future applications in adrenal imaging.

Z. Roszkowska, M. Bobrowicz, Radoslaw Roszczyk et al. · 0 citations

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