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Record W4410114014 · doi:10.1016/j.gore.2025.101762

Management of intravenous leiomyomatosis: a case report illustrating two distinct surgical approaches

2025· article· en· W4410114014 on OpenAlexaff
Michal Moshkovich, Emily Volfson, Robert J. Cusimano, Miranda Witheford, Marcus Q. Bernardini, Rachel Soyoun Kim

Bibliographic record

VenueGynecologic Oncology Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumors and treatment
Canadian institutionsSinai Health SystemPrincess Margaret Cancer CentreUniversity Health NetworkToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineIntensive care medicine

Abstract

fetched live from OpenAlex

Intravenous leiomyomatosis (IVL) is a benign smooth muscle growth originating in the uterus that extends into the lumen of venous or lymphatic vessels beyond the myoma. The tumour may enter the inferior vena cava (IVC) or the heart. For IVL with cardiac involvement, two distinct surgical approaches may be considered. The conventional approach involves concurrent intracardiac tumour resection via sternotomy, and resection of the intrabdominal/pelvic tumour by laparotomy, incision into the IVC, and a hysterectomy. Alternatively, an abdominal-only approach allows complete resection of the cardiac, abdominal, and pelvic portions of the IVL through IVC incision and hysterectomy. Considerations for surgical timing include a single-stage procedure, where all tumour components are addressed in one operation, or two-stage procedures, where cardiac and abdominal/pelvic components are resected in separate operations. Both approaches carry specific risks and benefits for the surgical course and patient recovery. We report two cases of patients presenting with symptomatic IVL. Patient A underwent a single-stage abdominal-only approach, including tumour removal from the IVC and hysterectomy, while Patient B underwent a two-stage surgical course involving initial intracardiac tumour resection via sternotomy, followed by a delayed subsequent abdominal tumour resection. We discuss the clinical decision-making process, benefits, and risks of both approaches, as well as preoperative and postoperative management considerations.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.334
Teacher spread0.296 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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