Defining the timing and role of acute postoperative imaging in pituitary adenoma surgery: clinical study.


Journal

Acta neurochirurgica
ISSN: 0942-0940
Titre abrégé: Acta Neurochir (Wien)
Pays: Austria
ID NLM: 0151000

Informations de publication

Date de publication:
10 2020
Historique:
received: 28 04 2020
accepted: 30 07 2020
pubmed: 12 8 2020
medline: 16 3 2021
entrez: 12 8 2020
Statut: ppublish

Résumé

The ideal timing of postoperative imaging after pituitary adenoma surgery has yet to be determined. We reviewed our pituitary database to determine whether timing of routine postoperative imaging has significantly changed patients' clinical course or outcomes. Retrospective chart review of patients undergoing resection of pituitary adenoma at our university center between 2012 and 2017 was performed. Timing and indication for postoperative imaging, findings of immediate and delayed postoperative imaging, as well as re-operations and radiosurgery details were recorded. Visual functions such as acuity and visual fields were used as clinical outcome indicators. Statistical analysis was run using Microsoft Excel. Five hundred and nineteen patients were identified; 443 had imaging data in our system and were included in the study. Early (< 90 days) MRIs were obtained in 71 patients and late (≥ 90 days) in 372 patients. We found statistical differences in our demographic groups including larger tumors in the early MRI group (early mean 12.33 cm After surgical treatment of pituitary adenoma, MRI obtained before 3 months is associated with higher rates of return to OR but no difference in long-term clinical outcomes. Due to cost efficiency, we argue for a delayed first postoperative MRI. The timing of MRI should also be governed by other factors such as large pituitary macroadenomas or postoperative complications. We recommend a consistent institutional protocol for determining the most cost-effective follow-up of postoperative pituitary patients.

Sections du résumé

BACKGROUND
The ideal timing of postoperative imaging after pituitary adenoma surgery has yet to be determined. We reviewed our pituitary database to determine whether timing of routine postoperative imaging has significantly changed patients' clinical course or outcomes.
METHODS
Retrospective chart review of patients undergoing resection of pituitary adenoma at our university center between 2012 and 2017 was performed. Timing and indication for postoperative imaging, findings of immediate and delayed postoperative imaging, as well as re-operations and radiosurgery details were recorded. Visual functions such as acuity and visual fields were used as clinical outcome indicators. Statistical analysis was run using Microsoft Excel.
RESULTS
Five hundred and nineteen patients were identified; 443 had imaging data in our system and were included in the study. Early (< 90 days) MRIs were obtained in 71 patients and late (≥ 90 days) in 372 patients. We found statistical differences in our demographic groups including larger tumors in the early MRI group (early mean 12.33 cm
CONCLUSION
After surgical treatment of pituitary adenoma, MRI obtained before 3 months is associated with higher rates of return to OR but no difference in long-term clinical outcomes. Due to cost efficiency, we argue for a delayed first postoperative MRI. The timing of MRI should also be governed by other factors such as large pituitary macroadenomas or postoperative complications. We recommend a consistent institutional protocol for determining the most cost-effective follow-up of postoperative pituitary patients.

Identifiants

pubmed: 32779027
doi: 10.1007/s00701-020-04515-2
pii: 10.1007/s00701-020-04515-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2353-2360

Auteurs

Katherine E Kunigelis (KE)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

Gregory Arnone (G)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

Gregoire Chatain (G)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

Jessa Hoffman (J)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

Oscar Chatain (O)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

Ian Coulter (I)

University of Colorado School of Medicine, Aurora, CO, 80045, USA.

Alexis Sunshine (A)

University of Colorado School of Medicine, Aurora, CO, 80045, USA.

Kevin O Lillehei (KO)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA.

A Samy Youssef (AS)

Department of Neurosurgery, University of Colorado School of Medicine, 12631 E. 17th Ave., C307, Aurora, CO, 80045, USA. samy.youssef@ucdenver.edu.
Department of Otolaryngology, University of Colorado School of Medicine, Aurora, CO, 80045, USA. samy.youssef@ucdenver.edu.

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Classifications MeSH