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Record W2313217283 · doi:10.1055/s-0033-1344823

Assessment of the early regenerative therapeutic response in graft versus host disease using high definition technology with virtual i-Scan chromoendoscopy

2013· article· en· W2313217283 on OpenAlexaff
Marietta Iacucci, Andrew Daly, Ahsan Chaudhry, Peter Duggan, Xianyong Gui, Jonathan Love, Subrata Ghosh

Bibliographic record

VenueEndoscopy · 2013
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineChromoendoscopyGraft-versus-host diseaseTransplantationStem cellEndoscopyBiopsyDiseaseSurgeryPathologyInternal medicineColorectal cancerColonoscopyCancer

Abstract

fetched live from OpenAlex

The gastrointestinal tract is the second most commonly involved organ system in graft versus host disease (GvHD) following allogeneic stem cell transplantation, and its involvement is associated with a worse prognosis [ 1 ] [ 2 ]. White light endoscopy findings are nonspecific and often unhelpful in the diagnosis of GvHD and evaluation of its response to therapy. Conventional histological examination of intestinal biopsy samples still represents the gold standard in GvHD diagnosis [ 3 ]. Moreover, after allogeneic stem cell transplantation, it could be potentially dangerous to carry out multiple biopsies and may require transfusion of erythrocytes, platelets, or coagulation factors. Here, we describe novel endoscopic findings associated with healing of the colonic mucosa in a patient with GvHD, obtained by high definition (HD +) technology with i-Scan virtual chromoendoscopy (Pentax Medical, Tokyo, Japan). A 42-year-old man, who underwent allogenic sibling stem cell transplantation for chronic lymphocytic leukemia, presented on day 79 with acute symptoms including vomiting, abdominal pain, and diarrhea. Colonoscopy showed multiple ulcers in the left side of the colon. Biopsy specimens were taken and pathological examination revealed colonic GvHD, grade 3/4. The patient was started on high-dose intravenous steroids, followed by antithymocyte globulin (ATG), and – subsequently – extracorporeal photophoresis. Flexible sigmoidoscopy with HD + and i-Scan virtual chromoendoscopy was carried out to characterize the endoscopic findings of the response to therapy in GvHD. A novel endoscopic regenerative honeycomb mucosal healing pattern in GvHD ([ Fig. 1 ]) was noted; the pattern characteristically consisted of an exuberant elongated, flowery appearance. The diagnosis was confirmed by histological examination, which demonstrated elongated regenerative crypts in the mucosa ([ Fig. 2 ]). Fig. 1 a, b High definition with i-Scan combination view in a 42-year-old man with a history of allogenic sibling stem cell transplantation. Note the regenerative honeycomb mucosal pattern in the colon. c, d High definition with i-Scan virtual chromoendoscopic view again showing the honeycomb, flowery mucosal pattern and healing ulcer. Fig. 2 a, b Histological section showing elongated crypts in the regenerating mucosa (hematoxylin and eosin, magnification × 200). HD + with i-Scan endoscopy is an image-processing technology that analyzes the endoscopic mucosal and vascular pattern in real time [ 4 ]. It has shown promise in differentiating between colonic neoplastic and non-neoplastic lesions, in characterizing mucosal healing in inflammatory bowel disease, and for in vivo diagnosis of duodenal villous atrophy in celiac disease [ 5 ]. Here we have reported the novel finding of a honeycomb or flowerlike pattern in the regenerating mucosa using HD + with i-Scan technology in the assessment of colonic mucosal outcome after therapy for GvHD. Endoscopy_UCTN_Code_CCL_1AD_2AJ

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.295
Teacher spread0.270 · 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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Citations0
Published2013
Admission routes1
Has abstractyes

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