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Record W3004834426 · doi:10.1055/s-0040-1702474

The Importance of Long-Term Follow-up after Endoscopic Pituitary Surgery: Durability of Results and Tumor Recurrence

2020· article· en· W3004834426 on OpenAlexaff
João Paulo Almeida, Hirokazu Takami, Raha Tabasinejad, Miguel Marigil Sánchez, Carlos Velásquez, Gelareh Zadeh, Fred Gentili

Bibliographic record

VenueJournal of Neurological Surgery Part B Skull Base · 2020
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineTerm (time)Pituitary adenomaResectionTranssphenoidal surgerySeries (stratigraphy)Radiological weaponPituitary tumorsSurgeryGeneral surgeryAdenomaInternal medicineBiology

Abstract

fetched live from OpenAlex

Introduction: Endoscopic transsphenoidal surgery (ETS) has become the preferred surgical approach for resection of pituitary adenomas in most centers. This technique has a series of advantages such as improved visualization and maneuverability when compared with microscopic transsphenoidal approach. However, long-term results are still scarce. Ten years ago, we published our initial series with short-term results. This project aims to revisit the results of that series, assessing now the long-term results regarding radiological recurrence of pituitary adenomas. Methods: Retrospective analysis of consecutive, endoscopically managed pituitary adenomas in a single center from 2004 to 2007. Only patients with >5 years of follow-up (FU) were included in this study. Results: A total of 98 patients matched the inclusion criteria for this study. The median follow-up period was 144 months. Nonfunctioning adenoma was the most common subtype ( n = 66, 67.3%), followed by GH-secreting tumors ( n = 19, 19.4%), ACTH-secreting tumors ( n = 7, 7.1%), prolactinomas ( n = 4, 4.1%), and TSH-secreting adenomas ( n = 2, 2%). Age ranges from 23 to 82 years, with median age of 53 years. Preoperative visual deficits were observed in 46 patients (46.9%) and hormonal deficits were identified in 31% of cases. 22.4% of patients had undergone a previous pituitary adenomas resection prior to treatment in our center. Surgery achieved gross total resection (GTR) and near-total resection in 86 cases (85%; 50 and 35%, respectively). A total of 37 cases had recurrences during FU (mean recurrence free survival: 80 months). Recurrences were observed in 32% of patients who had had GTR, with mean RFS of 87.25 months, while recurrences were observed in 41.9% of patients who underwent near-total or partial resection (mean RFS = 69.22 months). Most recurrences occurred after 5 years of FU (23 cases <63% of all recurrences) and only four cases had recurrences in the first 2 years after surgery. Surgery and/or radiation were done for management of recurrences in 29/37 cases. Cavernous sinus invasion and cases that had undergone previous surgery were significantly associated with shorter RFS, among which recurrent case was most significantly associated in multivariate analysis ( p = 0.05). Conclusion: Long-term FU analysis demonstrates that progression/recurrence of previously resected adenomas is observed in a significant number of patients, especially in those in whom GTR was not achieved. Short-term FU may shadow real tumor control rates achieved after ETS and therefore, long-term FU should be pursued in all cases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.265
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2020
Admission routes1
Has abstractyes

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