Evidence map›Paper›PMID 40402422›Full record

ArticleAnnals of surgical oncology2025

Precision in Liver Surgery: A Comparative Analysis of Volumetry Techniques.

Ankur P Choubey, Joanne Chou, Crisanta Ilagan, John Steinharter, Jon S Heiselman, Jayasree Chakraborty, Kevin C Soares, Alice C Wei, Mithat Gonen, Vinod P Balachandran and 4 more

Abstract readComparative Study
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ankur P ChoubeyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Joanne ChouDepartment of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Crisanta IlaganDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
John SteinharterDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jon S HeiselmanDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jayasree ChakrabortyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Kevin C SoaresDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alice C WeiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Mithat GonenDepartment of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Vinod P BalachandranDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jeffrey DrebinDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
T Peter KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael I D'Angelica *Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
William R Jarnagin *Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. jarnagiw@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundFuture liver remnant volume (FLRV) is a critical determinant of safety for hepatectomy. This study assesses concordance between imaging-based measured FLRV (mFLRV), and body surface area (BSA)-based standardized FLRV (sFLRV), and their association with post-hepatectomy complications. MATERIALS AND

methodsAll major hepatectomy between 1999 and 2021 were assessed for agreement between mFLRV and sFLRV using concordance correlation coefficient (CCC). Association between each method and major postoperative complications, post-hepatectomy liver failure (PHLF), or grade 4/5 morbidity was compared using logistic regression model and area under the receiver-operating characteristic (AUC) curve to evaluate the discriminatory power of each volumetry method separately.

resultsA total of 1749 patients were included, 49% were female, median age was 60 years, 70.2% had metastatic disease, and 49.7% received preoperative chemotherapy. Median sFLRV (41.3%) was higher than mFLRV (39.4%). Major complications were observed in 5.1% (n = 90). Concordance between mFLRV and sFLRV was moderate, CCC = 0.78 (95% CI 0.75-0.79) but was poor (CCC = 0.39; 95% CI 0.32-0.43) among patients with mFLRV ≤ 35% (n = 528). In this subset, sFLRV overestimated remnant volume in 63% (n = 333) with ≥ 5% overprediction in 145 patients (27.5%). Factors associated with ≥ 5% variation were lower weight (p = 0.003), lower BMI (p = 0.003), and lower BSA (p = 0.004). Both methods performed similarly in predicting major complications with AUC of 0.64 and 0.63 for sFLRV and mFLRV, respectively.

conclusionsImaging- and BSA-based volumetry are moderately correlated, with poor concordance among patients with smaller FLRV where sFLRV overestimated remnant volume. Both techniques can be safely used for volumetric assessment before major hepatectomy.

Indexed as

HepatectomyLiverLiver NeoplasmsPostoperative ComplicationsAdultAgedBody Surface AreaFemaleFollow-Up StudiesHumansMaleMiddle AgedOrgan SizePrognosisRetrospective StudiesBody surface areaFuture liver remnantHepatectomyVolumetry

Identifiers

PMID40402422
PMCPMC13556575

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.