Pelvic Reconstruction following Abdominoperineal Resection and Pelvic Exenteration: Management Practices among Plastic and Colorectal Surgeons
Bibliographic record
Abstract
BACKGROUND: Pelvic reconstruction with a muscle flap significantly improves postoperative outcomes following abdominoperineal resection (APR). Despite it being the gold standard, significant surgeon-selection bias remains with respect to the necessity of pelvic obliteration, flap choice, and ostomy placement. The objective of the study was to characterize management practices among colorectal surgeons (CSs) and plastic surgeons (PSs). METHODS: Specialty-specific surveys were distributed electronically to CSs and PSs via surgical societies. Surveys were designed to illustrate geographic and specialty-specific differences in management. RESULTS: Of 106 (54 CSs and 52 PSs) respondents (58% Canada, 21% Europe, 14% the United States, and 6% Asia/Africa), significant interdisciplinary differences in practices were observed. Most respondents indicated that multidisciplinary meetings were not performed (74% of CSs and 78% of PSs). For a nonradiated pelvic dead space with small perineal defect, 91% of CSs and 56% of PSs indicated that flap reconstruction was not required. For a radiated pelvic dead space with small perineal defect, only 54% of CSs and 6% of PSs indicated that there was no need for flap reconstruction. With respect to ostomy placement, 87% of CSs and 21% of PSs indicated that stoma placement through the rectus was superior. When two ostomies were required, most CSs preferred exteriorizing ostomies through bilateral recti and requesting thigh-based reconstruction. PSs favored the vertical rectus abdominis muscle (VRAM; 52%) over the gracilis (23%) and inferior gluteal artery perforator (IGAP; 23%) flaps. Among PSs, North Americans favor abdominally based flaps (VRAM 60%), while Europeans favor gluteal-based flaps (IGAP 78%). CONCLUSION: A lack of standardization continues to exist with respect to the reconstruction of pelvic defects following APR and pelvic exenteration. Geographic and interdisciplinary biases with respect to ostomy placement, flap choice, and role for pelvic obliteration continues to influence reconstructive practices. These cases should continue to be approached on a case by case basis, driven by pathology, presence of radiation, comorbidities, and the size of the pelvic and perineal defect.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".