Evidence map›Paper›PMID 30682046›Full record

ArticlePloS one2019

A new formula to calculate the resection limit in hepatectomy based on Gd-EOB-DTPA-enhanced magnetic resonance imaging.

Shinichiro Yamada, Mitsuo Shimada, Yuji Morine, Satoru Imura, Tetsuya Ikemoto, Yu Saito, Chie Takasu, Masato Yoshikawa, Hiroki Teraoku, Toshiaki Yoshimoto

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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4 · The record

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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

10 authors.

Shinichiro YamadaThe Department of Surgery, Tokushima University, Tokushima, Japan.ORCID 0000-0003-3847-751X
Mitsuo ShimadaThe Department of Surgery, Tokushima University, Tokushima, Japan.
Yuji MorineThe Department of Surgery, Tokushima University, Tokushima, Japan.
Satoru ImuraThe Department of Surgery, Tokushima University, Tokushima, Japan.
Tetsuya IkemotoThe Department of Surgery, Tokushima University, Tokushima, Japan.
Yu SaitoThe Department of Surgery, Tokushima University, Tokushima, Japan.
Chie TakasuThe Department of Surgery, Tokushima University, Tokushima, Japan.
Masato YoshikawaThe Department of Surgery, Tokushima University, Tokushima, Japan.
Hiroki TeraokuThe Department of Surgery, Tokushima University, Tokushima, Japan.
Toshiaki YoshimotoThe Department of Surgery, Tokushima University, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimDynamic magnetic resonance imaging with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (EOB-MRI) can be used not only to detect liver tumors but also to estimate liver function. The aim of this study was to establish a new EOB-MRI-based formula to determine the resection limit in patients undergoing hepatectomy.

methodsTwenty-eight patients with a normal liver (NL group) and five with an unresectable cirrhotic liver (UL group) who underwent EOB-MRI were included. Standardized liver function (SLF) was calculated based on the signal intensity (SI), the volume of each subsegment (S1-S8), and body surface area. A formula defining the resection limit was devised based on the difference in the SLF values of patients in the NL and UL groups. The formula was validated in 50 patients who underwent EOB-MRI and hepatectomy.

resultsThe average SLF value in the NL and UL groups was 2038 and 962 FV/m2, respectively. The difference (1076 FV/m2) was consistent with a 70% in resection volume. Thus, the resection limit for hepatectomy was calculated as a proportion of 70%: 70×(SLF-962)/1076 (%). The one patient who underwent hepatectomy over the resection limit died due to liver failure. In other 49 patients, in whom the resection volume was less than the resection limit, procedures were safely performed.

conclusionsOur formula for resection limit based on EOB-MRI can improve the safety of hepatectomy.

Indexed as

Gadolinium DTPAAdultAgedAged, 80 and overCarcinoma, HepatocellularContrast MediaFemaleHepatectomyHumansImage EnhancementLiverLiver CirrhosisLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPA

Identifiers

PMID30682046
PMCPMC6347147

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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.