Evidence map›Paper›PMID 39958018›Full record

ReviewCureus2025

Early Postoperative Magnetic Resonance Imaging for Transsphenoidal Pituitary Surgery: A Systemic Literature Review and the Proposed Imaging Algorithm.

Anurag Modak, Evan Gross, Andrew Yang, Maunil Mullick, Raja N Jani, Brian J Williams

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anurag ModakNeurosurgery, Rutgers New Jersey Medical School, Newark, USA.
Evan GrossNeurological Surgery, University of Alabama at Birmingham School of Medicine, Birmingham, USA.
Andrew YangNeurological Surgery, Weill Cornell Medicine, New York, USA.
Maunil MullickNeurosurgery, University of Louisville School of Medicine, Louisville , USA.
Raja N JaniNeurosurgery, University of Louisville School of Medicine, Louisville, USA.
Brian J WilliamsNeurosurgery, University of Louisville School of Medicine, Louisville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current neurosurgical consensus guidelines recommend that the first radiologic study to evaluate the extent of pituitary tumor resection be performed 3-4 months after surgery, defined as late postoperative (LPO) magnetic resonance imaging (MRI), and include fat-suppressed T1 and T2 sequences. The current guidelines supporting LPO MRI stem from older studies which claim that imaging <3 months postoperatively, defined as early postoperative (EPO), cannot be reliably interpreted due to acute postoperative changes. Several new technical and technological innovations that emerged since the promulgation of these guidelines may allow neurosurgeons to evaluate the extent of pituitary adenoma resection within a shorter timeframe, with higher resolution, and with greater certainty of the surrounding anatomy. We therefore sought to develop an evidence-based imaging algorithm, with regard to timing, magnetic field strength, and choice of views, for postoperative MRI following transsphenoidal pituitary adenoma resection by performing a systematic review of the available literature.

Indexed as

endoscopic transsphenoidal pituitary surgerymagnetic resonance imaging and pituitary adenomapituitary adenoma managementpostoperative outcomestranssphenoidal neurosurgery

Identifiers

PMID39958018
PMCPMC11830453

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.