Evidence map›Paper›PMID 34276158›Full record

ArticleJournal of clinical and experimental hepatology

The Use of a 3D Printing Model in Planning a Donor Hepatectomy for Living Donor Liver Transplantation: First in India.

Karthik K Raichurkar, Rajiv Lochan, Mathew Jacob, Sonal Asthana

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

4 authors.

Karthik K RaichurkarIntegrated Liver Care Unit, Aster CMI Hospital, New Airport Road, Bangalore, 560092, India.
Rajiv LochanIntegrated Liver Care Unit, Aster CMI Hospital, New Airport Road, Bangalore, 560092, India.
Mathew JacobIntegrated Liver Care Unit, Aster CMI Hospital, New Airport Road, Bangalore, 560092, India.
Sonal AsthanaIntegrated Liver Care Unit, Aster CMI Hospital, New Airport Road, Bangalore, 560092, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThree-dimensional (3D) anatomical relationships between the hepatic veins and portal structures can serve as a guide to plan resections in donor hepatectomy during living donor liver transplantation. We present the first case report from India on the use of a 3D printed liver model, as an assist to living donor liver transplantation.

methodsA 3D model of the donor liver with hepatic venous structures printed within it was prepared using image acquisition data. The model was used for a simulated cut preoperatively, to mimic the donor hepatectomy based on the venous structures seen through the transparent material used for making the liver model. The volume of the graft measured by volume displacement in the actual surgery was compared with the volume of the model after the simulated cut.

resultsThe calculated volume of the graft was 359 ml as per the preoperative simulation, and the observed weight/volume was 380 gm/310 ml.

conclusionThree-dimensional printing of liver models using imaging data can help predict the actual size of the graft after donor hepatectomy, in patients undergoing living donor liver transplantation.

Indexed as

2D, Two-dimensional3D printing3D, three-dimensionalCT, computed tomographyDICOM, Digital Imaging and Communications in MedicineGRWR, graft recipient weight ratioHV, hepatic veinLDLT, living donor liver transplantationliver modelliving donor liver transplantPV, portal veinSTL, stereolithographic

Identifiers

PMID34276158
PMCPMC8267362
OpenAlexW3061000028

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.