Evidence map›Paper›PMID 37115181›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

The influence of 3D renal reconstruction on surgical planning for complex renal tumors: An interactive case-based survey.

Raed A Azhar

Abstract read
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
  6. Article
  7. MRI-TRUS fusion targeted biopsy is highligheted in International Brazilian Journal of Urology.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  8. Article
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

1 author.

Raed A AzharDepartments of Urology, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the role of three-dimensional (3D) reconstruction in preoperative planning for complex renal tumors. MATERIALS AND

methodsA well-planned questionnaire was distributed among the attending urologists at an international meeting. The questionnaire inquired about demographic data, surgical experience, partial nephrectomy (PN) versus radical nephrectomy (RN), surgical approach, time of ischemia, probability of postoperative urine leakage and positive surgical margins after viewing computed tomography (CT) scans and their respective 3D models of six complex renal tumors. Following the CT scans, attendees were asked to view randomly selected reconstructions of the cases.

resultsOne hundred expert urologists participated in the study; 61% were aged between 40 and 60 years. Most of them (74%) were consultants. The overall likelihood of PN after viewing the 3D reconstructions significantly increased (7.1±2.7 vs. 8.0±2.2, p<0.001), the probability of conversion to RN significantly decreased (4.3±2.8 vs. 3.2±2.5, p<0.001), and the likelihood of urine leakage and positive surgical margins significantly decreased (p<0.001). Preference for the open approach significantly decreased (21.2% vs. 12.1%, p<0.001), while selective clamping techniques significantly increased (p<0.001). After viewing the 3D models, low expected warm ischemia time and estimated blood loss were significantly preferred by the respondents (p<0.001). Surgical decision change was significantly associated with performance or participation in more than 20 PNs or RNs annually [3.25 (1.98-5.22) and 2.87 (1.43-3.87), respectively].

conclusions3D reconstruction models play a significant role in modifying surgeons' strategy and surgical planning for patients with renal tumors, especially for patients with stronger indications for a minimally invasive and/or nephron-sparing approach.

Indexed as

Kidney NeoplasmsMargins of ExcisionAdultHumansKidneyMiddle AgedNephrectomyTomography, X-Ray ComputedNeoplasmsNephrectomySurgical Procedures, Operative

Identifiers

PMID37115181
PMCPMC10335884

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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.