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Record W2063356071 · doi:10.1097/pas.0b013e3181dc242c

Chemotherapy-induced Liver Injury in Metastatic Colorectal Cancer: Semiquantitative Histologic Analysis of 334 Resected Liver Specimens Shows That Vascular Injury but not Steatohepatitis Is Associated With Preoperative Chemotherapy

2010· article· en· W2063356071 on OpenAlexaff
Paul M. Ryan, Sulaiman Nanji, Aaron Pollett, Malcolm J. Moore, Carol-Anne Moulton, Steven Gallinger, Maha Guindi

Bibliographic record

VenueThe American Journal of Surgical Pathology · 2010
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity Health NetworkMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineChemotherapySteatohepatitisColorectal cancerLiver injuryPathologyCancerInternal medicineOncologyFatty liverDisease

Abstract

fetched live from OpenAlex

The use of newer chemotherapeutic agents before resection of colorectal cancer liver metastases has been linked with parenchymal liver injury, in particular preoperative irinotecan and oxaliplatin with chemotherapy-associated steatohepatitis (CASH) and vascular parenchymal injury, respectively. We retrospectively assessed 334 cases from 2002 to 2007 and correlated pathologic findings with chemotherapy use and perioperative course. Features of fatty liver disease were graded according to established schemes, and several features of vascular injury, including sinusoidal dilation, nodular regenerative hyperplasia and parenchymal extinction lesions (PELs), were also scored semiquantitatively and a combined vascular injury (CVI) score was determined. Moderate and severe fatty injury was uncommon with steatohepatitis detected in 8 cases (2.4%), 7 of whom did not receive chemotherapy. Multivariate analysis showed steatosis greater than 33% and steatohepatitis were independently associated with Body Mass Index of 30 or more (P<0.001) but not chemotherapy. Vascular injuries were detected in 117 cases, were significantly associated with oxaliplatin, and the combined assessment of vascular features (a CVI score of 3 or more) was more strongly associated with oxaliplatin (P=0.0004) than any one feature in isolation. Perioperative outcome was not associated with parenchymal injury or preoperative chemotherapy. We conclude that although CASH is uncommon in this population vascular injury is frequently seen in resection specimens, but pathologic examination limited to sinusoidal dilation misses the majority of these. Semiquantitative measurement enables reproducible assessment of vascular injuries, allows comparison between studies, and may help inform future treatment decisions in patients with limited hepatic reserve.

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)0.002
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.291
Teacher spread0.248 · 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".

Quick stats

Citations92
Published2010
Admission routes1
Has abstractyes

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