Supplementary file 1_Predicting tumor progression in non-functioning pituitary macroadenom

A single-center retrospective cohort of 212 patients treated between 2007 and 2023. The dataset includes demographic, clinical, histopathological, and volumetric MRI data for non-functioning pituitary macroadenomas following transsphenoidal surgery. It was created by Viktor M. Eisenkolb and published on figshare in 2026.

Use Cases

• Predicting tumor progression based on preoperative and postoperative tumor volume data.
• Identifying prognostic cutoff values for tumor stability using volumetric thresholds like 7.12 cm³.
• Analyzing correlations between tumor progression and clinical factors such as postoperative cortisol levels.
• Classifying patient subgroups based on surgical outcomes: stable residuals, progressive residuals, or recurrence.

Strengths

• Includes 212 patient records from a 16-year period (2007-2023).
• Contains specific volumetric cutoff values derived from ROC analysis (e.g., 7.12 cm³).
• Reports detailed subgroup outcomes with counts and percentages (e.g., 44.3% initial GTR, 29.2% durable complete resection).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single center, which may limit generalizability.

Provenance

Source

Viktor M. Eisenkolb via figshare.

Collection Method

Retrospective analysis of patient records from a tertiary referral center.

Time Range

2007 to 2023

Freshness

Last updated 2026-04-16 04:20:28; freshness should be verified.

Geography

Single-center study; specific location not stated.