Evidence map›Paper›PMID 35628036›Full record

ArticleHealthcare (Basel, Switzerland)2022

Efficacy of High-Resolution Preoperative 3D Reconstructions for Lesion Localization in Oncological Colorectal Surgery-First Pilot Study.

Domenico Soriero, Paola Batistotti, Rafaela Malinaric, Davide Pertile, Andrea Massobrio, Lorenzo Epis, Beatrice Sperotto, Veronica Penza, Leonardo S Mattos, Marina Sartini and 3 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

13 authors.

Domenico SorieroGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0002-1702-4864
Paola BatistottiDepartment of Integrated Surgical and Diagnostic Sciences, University of Genoa, 16132 Genoa, Italy.ORCID 0000-0001-7439-6325
Rafaela MalinaricGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Davide PertileGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0002-2353-0253
Andrea MassobrioGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
Lorenzo EpisGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0001-7591-9335
Beatrice SperottoGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0001-7222-4925
Veronica PenzaBiomedical Robotics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, 16163 Genoa, Italy.
Leonardo S MattosBiomedical Robotics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0002-8511-9144
Marina SartiniDepartment of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy.ORCID 0000-0002-7127-2893
Maria Luisa CristinaDepartment of Health Sciences, University of Genoa, Via Pastore 1, 16132 Genoa, Italy.
Alessio NencioniSection of Geriatrics, Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy.
Stefano ScabiniGeneral and Oncologic Surgery, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.ORCID 0000-0001-8011-0928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When planning an operation, surgeons usually rely on traditional 2D imaging. Moreover, colon neoplastic lesions are not always easy to locate macroscopically, even during surgery. A 3D virtual model may allow surgeons to localize lesions with more precision and to better visualize the anatomy. In this study, we primary analyzed and discussed the clinical impact of using such 3D models in colorectal surgery. This is a monocentric prospective observational pilot study that includes 14 consecutive patients who presented colorectal lesions with indication for surgical therapy. A staging computed tomography (CT)/magnetic resonance imaging (MRI) scan and a colonoscopy were performed on each patient. The information gained from them was provided to obtain a 3D rendering. The 2D images were shown to the surgeon performing the operation, while the 3D reconstructions were shown to a second surgeon. Both of them had to locate the lesion and describe which procedure they would have performed; we then compared their answers with one another and with the intraoperative and histopathological findings. The lesion localizations based on the 3D models were accurate in 100% of cases, in contrast to conventional 2D CT scans, which could not detect the lesion in two patients (in these cases, lesion localization was based on colonoscopy). The 3D model reconstruction allowed an excellent concordance correlation between the estimated and the actual location of the lesion, allowing the surgeon to correctly plan the procedure with excellent results. Larger clinical studies are certainly required.

Indexed as

colon cancerCT scanlocalization

Identifiers

PMID35628036
PMCPMC9141148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.