Evidence map›Paper›PMID 32944595›Full record

ArticleEuropean journal of radiology open2020

Comparative analysis of three-dimensional volume rendering and maximum intensity projection for preoperative planning in liver cancer.

Joyce L Ho, Anuja Konda, Jawaria Rahman, Elan Harris, Ron Korn, Aqsa Sabir, Basil Bawany, Rajesh Gulati, Gordon J Harris, William D Boswell and 2 more

Abstract read
In one paragraph

Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  5. Anatomical Description of Loggerhead Turtle (Animals : an open access journal from MDPI · 2023
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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

12 authors.

Joyce L HoCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Anuja KondaCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Jawaria RahmanCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Elan HarrisCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Ron KornVirginia G Piper Cancer Center Honor Health Scottsdale, AR, USA.
Aqsa SabirCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Basil BawanyCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Rajesh GulatiRiverside Community Hospital, Riverside, CA, USA.
Gordon J HarrisMassachusetts General Hospital, Boston, MA, USA.
William D BoswellCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Yuman FongCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Syed RahmanuddinCity of Hope Comprehensive Cancer Center, Duarte, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional imaging is a useful tool to evaluate liver structure and surrounding vessels for preoperative planning. In this study, we compared two methods of visualizing vascular maps on computed tomography including maximum intensity projection (MIP) and 3D volume rendered (VR) imaging. We compiled important imaging components of pre-surgical planning, and developed criteria for comparison. The imaging techniques were compared based on colorization, volume quantification, rotation, vessel delineation, small vessel clarity, and segmental liver isolation. MIP had more overall limitations due to reduced differentiation of superimposed structures, motion artifact, and interference from calcifications. We determined that because 3D quantitative volume rendered imaging can provide more detail and perspective than MIP imaging, it may be more useful in preoperative planning for patients with liver malignancy. Advanced 3D imaging is a useful tool that can have profound clinical implications on cancer detection and surgical planning.

Identifiers

PMID32944595
PMCPMC7481131

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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.