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Record W4417354501 · doi:10.3389/frvir.2025.1709269

Use of augmented reality with image fusion to facilitate surgical stoma creation: an IDEAL stage 2A case series

2025· article· W4417354501 on OpenAlex
Bradley B. Pua, Shoichiro Urabe, A. Zuñiga, Davide Punzo, András Lassó, Art Sedrakyan, Jeffrey W. Milsom

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Virtual Reality · 2025
Typearticle
Language
FieldMedicine
TopicStoma care and complications
Canadian institutionsQueen's University
Fundersnot available
KeywordsStoma (medicine)Augmented realityAnastomosisPerforationBowel obstructionFistulaIleostomyLaparoscopy

Abstract

fetched live from OpenAlex

Introduction Augmented reality (AR) has been increasingly applied to surgical procedures in fixed anatomical organs like brain, bones, aorta and kidneys, enabling image-guided precision, but sparingly to mobile organs such as the intestines. We report our initial experience with AR-guided intestinal stoma creation using an “image-guided” minimally invasive approach. Methods Adult patients requiring elective or urgent stoma creation for colonic decompression or diversion were included. Patient-specific 3D reconstructions of the relevant portion of the GI tract and reference organs (skin, bones, vessels) from a preoperative CT were co-registered intraoperatively via a head-mounted Augmented reality device (HoloLens2) onto the patient’s body using surface landmarks visible such as the umbilicus, bones, and prior surgical scars. A trajectory to the target bowel loop based on AR was marked on the skin, and stoma creation was performed at this site. Targeting of the correct bowel loop was confirmed with intraoperation fluoroscopy using intralumenal contrast injection. Technical success was defined as completion at the targeted site without open surgery. Results Fourteen patients underwent AR-guided stoma creation (9 colostomies, 5 ileostomies). Indications were bowel obstruction (n = 6), fistula (n = 5), anastomotic leak (n = 1), perforation (n = 1) and gastrointestinal bleeding (n = 1). Median age was 76 years, median BMI 23.8 kg/m 2 . The median (range) number of prior abdominal surgeries was 2 (0–11). The median operative time was 131 min (interquartile range [IQR]: 96–143). The approach was either cut down directly over the stoma site (n = 11) or laparoscopic assisted (n = 3). AR permitted precise identification of the bowel loop required for stoma creation in all cases and help to avoid need for standard open surgery. Median postoperative stay was 7 days (interquartile range: 3–10). No Clavien-Dindo grade III or IV complications, reoperations, or unplanned readmissions were observed. Two postoperative deaths occurred in ASA 4 patients, both due to the underlying malignancy and multiorgan failure preoperatively, unrelated to the surgical procedure. Conclusion This early experience suggests AR methods may identify and target a loop of bowel, play a useful role in intestinal stoma creation, with potential to avoid need for laparoscopy or extensive open surgery. Further clinical application and refinement are warranted.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.334
Teacher spread0.271 · 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