Evidence map›Paper›PMID 34480674›Full record

ReviewJournal of robotic surgery2022

The evolution of image guidance in robotic-assisted laparoscopic prostatectomy (RALP): a glimpse into the future.

Joshua Makary, Danielle C van Diepen, Ranjan Arianayagam, George McClintock, Jeremy Fallot, Scott Leslie, Ruban Thanigasalam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of robotic surgery, 2022. 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
1.5field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Joshua MakaryRoyal Prince Alfred Institute of Academic Surgery, Camperdown, Sydney, NSW, 2050, Australia. Joshua.Makary@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-2963-5849
Danielle C van DiepenRoyal Prince Alfred Institute of Academic Surgery, Camperdown, Sydney, NSW, 2050, Australia.
Ranjan ArianayagamChris O'Brien Lifehouse, Sydney, NSW, Australia.
George McClintockChris O'Brien Lifehouse, Sydney, NSW, Australia.
Jeremy FallotRoyal Prince Alfred Institute of Academic Surgery, Camperdown, Sydney, NSW, 2050, Australia.
Scott LeslieRoyal Prince Alfred Institute of Academic Surgery, Camperdown, Sydney, NSW, 2050, Australia.
Ruban ThanigasalamRoyal Prince Alfred Institute of Academic Surgery, Camperdown, Sydney, NSW, 2050, Australia.
The University of Sydney · AUChris O’Brien Lifehouse · AURoyal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the innovative intraoperative technologies emerging to aid surgeons during minimally invasive robotic-assisted laparoscopic prostatectomy.

methodsWe searched multiple electronic databases reporting on intraoperative imaging and navigation technologies, robotic surgery in combination with 3D modeling and 3D printing used during laparoscopic or robotic-assisted laparoscopic prostatectomy. Additional searches were conducted for articles that considered the role of artificial intelligence and machine learning and their application to robotic surgery. We excluded studies using intraoperative navigation technologies during open radical prostatectomy and studies considering technology to visualize lymph nodes. Intraoperative imaging using either transrectal ultrasonography or augmented reality was associated with a potential decrease in positive surgical margins rates. Improvements in detecting capsular involvement may be seen with augmented reality. The benefit, feasibility and applications of other imaging modalities such as 3D-printed models and optical imaging are discussed.

conclusionThe application of image-guided surgery and robotics has led to the development of promising new intraoperative imaging technologies such as augmented reality, fluorescence imaging, optical coherence tomography, confocal laser endomicroscopy and 3D printing. Currently challenges regarding tissue deformation and automatic tracking of prostate movements remain and there is a paucity in the literature supporting the use of these technologies. Urologic surgeons are encouraged to improve and test these advanced technologies in the clinical arena, preferably with comparative, randomized, trials.

Indexed as

LaparoscopyProstatic NeoplasmsRoboticsRobotic Surgical ProceduresArtificial IntelligenceHumansMaleProstatectomyArtificial intelligenceAugmented realityIntraoperative imagingRobotic-assisted laparoscopic surgery (RALP)

Identifiers

PMID34480674
OpenAlexW3198788525

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.