Evidence map›Paper›PMID 33797861›Full record

ArticleCancer medicine2021

Application of low-dose CT to the creation of 3D-printed kidney and perinephric tissue models for laparoscopic nephrectomy.

Guan Li, Jie Dong, Zhiqiang Cao, Jinbao Wang, Dongbing Cao, Xin Zhang, Longjiang Zhang, Guangming Lu

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. 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
0.3field-weighted citation impact, top 52% 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, 3 citations in OpenAlex.

  1. Article
  2. [Intervention planning in modern renal surgery].Urologie (Heidelberg, Germany) · 2023
    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

8 authors at 4 institutions in 1 country.

Guan LiDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-3353-993X
Jie DongDepartment of Urology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Zhiqiang CaoDepartment of Urology, General Hospital of Northern Theater Command, Shenyang, China.
Jinbao WangDepartment of Radiology, General Hospital of Northern Theater Command, Shenyang, China.ORCID 0000-0003-2642-2335
Dongbing CaoDepartment of Urology, Cancer Hospital of China Medical University, Shenyang, China.
Xin ZhangDepartment of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Longjiang ZhangDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-6664-7224
Guangming LuDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0003-4913-2314
Nanjing General Hospital of Nanjing Military Command · CNGeneral Hospital of Shenyang Military Region · CNChina Medical University · CNFirst Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to explore the feasibility of 3D printing of kidney and perinephric fat based on low-dose CT technology. PATIENTS AND

methodsA total of 184 patients with stage T1 complex renal tumors who underwent laparoscopic nephrectomy were prospectively enrolled and divided into three groups: group A (conventional dose kidney and perinephric fat 3D printing group, n = 62), group B (low-dose kidney and perinephric fat 3D printing, n = 64), and group C (conventional dose merely kidney 3D printing group, n = 58). The effective dose (ED), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were determined. The 3D printing quality was evaluated using a 4-point scale, and interobserver agreement was assessed using the intraclass correlation coefficient (ICC).

resultsThe ED of group B was lower than that of group A, with a decrease of 55.1%. The subjective scores of 3D printing quality in all groups were 3 or 4 points. The interobserver agreement among the three observers in 3D printing quality was good (ICC = 0.84-0.92). The perioperative indexes showed that operation time (OT), warm ischemia time (WIT), estimated blood loss (EBL), and laparoscopic partial nephrectomy (LPN) conversion to laparoscopic radical nephrectomy (LRN) in groups A or B were significantly less than those in group C. LPN was more frequent in group A and group B than in group C (all p < 0.017). There were no significant differences in perioperative indexes between group A and group B (all p > 0.017).

conclusionLow-dose CT technology can be effectively applied to 3D printing of kidney and perinephric fat and reduce the patient's radiation dose without compromising 3D printing quality. 3D printing of kidney and perinephric fat can significantly increase the success rate of LPN and decrease OT, WIT, and EBL.

Indexed as

Adipose TissueAdultAgedAged, 80 and overBlood Loss, SurgicalContrast MediaFeasibility StudiesFemaleHumansIschemiaKidneyKidney NeoplasmsLaparoscopyMaleMiddle AgedNephrectomyContrast Media3D printingadherent perinephric fatcomputed tomographylow-doserenal tumor

Identifiers

PMID33797861
PMCPMC8085913
OpenAlexW3146999343

What OpenQuestion holds

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Registered trials

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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.