As a vital organ responsible for producing life-sustaining hormones, the adrenal gland is associated with a wide range of diseases. These diseases affect multiple systems throughout the body and carry a high rate of mortality and disability. Current diagnosis and treatment face several challenges: significant variability in hormone testing results, inaccurate localization via imaging techniques, unclear molecular characteristics of adrenal tumors, and difficulty in determining prognosis through pathology. Therefore, establishing a clinical research cohort for adrenal diseases is essential. Such a cohort will enable in-depth exploration of disease mechanisms, identification of disease subtypes, optimization of diagnostic criteria, evaluation of treatment efficacy, advancement of personalized medicine, and formulation of prevention and treatment strategies.

Inclusion Criteria:

• A signed and dated informed consent form
• Commitment to abide by the study procedures and cooperate with the implementation of the entire study process
• Patients diagnosed with adrenal diseases, including aldosteronism, Cushing's syndrome, pheochromocytoma, adrenocortical carcinoma, and congenital adrenal hyperplasia; regardless of whether they have received adrenal surgery, radiotherapy, and/or medication therapy
• Aged between 18 and 75 years

Exclusion Criteria:

• Subjects meeting any of the following criteria will be excluded from this study:
• Refuse to sign the informed consent form
• Patients without adrenal diseases
• Have specified diseases or conditions (physical or psychological, identified through physical examination) that warrant exclusion from the study

Aged between 18 and 75 years; diagnosed with adrenal diseases, including primary aldosteronism, pheochromocytoma, Cushing's syndrome, congenital adrenal hyperplasia, adrenocortical carcinoma, etc.; in stable condition, capable of tolerating all examinations and follow-ups required by the study. These patients receive adrenal surgery, radiotherapy, and/or medication therapy based on diagnosis and subtype classification.