Evidence map›Paper›PMID 38639875›Full record

ArticleUpdates in surgery2024

Indocyanine green (ICG)-guided robotic resection for liver adenoma: combined technologies for precision surgery.

Sara Ingallinella, Luca Aldrighetti, Rebecca Marino, Francesca Ratti

Abstract read
PubMed Publisher
In one paragraph

Article in Updates in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

4 authors at 1 institution in 1 country.

Sara IngallinellaHepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Via Olgettina 60, Milan, Italy.
Luca AldrighettiHepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Via Olgettina 60, Milan, Italy.
Rebecca MarinoHepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Via Olgettina 60, Milan, Italy.
Francesca RattiHepatobiliary Surgery Division, IRCCS San Raffaele Hospital, Via Olgettina 60, Milan, Italy. ratti.francesca@hsr.it.ORCID http://orcid.org/0000-0002-8108-9064
Vita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HCA resection is crucial to prevent bleeding and malignant transformation. The aim of this study was to enhance the precision of tumor resection in hepatocellular adenoma (HCA) through the combination of intraoperative ultrasound (IOUS) and indocyanine green (ICG) fluorescence imaging. ICG was intravenously injected 24 h before surgery, enabling positive staining of HCA nodules. IOUS guided the parenchymal transection performed using the RoboLap approach. IOUS combined with ICG effectively demarcated lesions, allowing precision surgery while sparing healthy liver tissue. Intraoperative frozen examination further validated the potential of ICG to identify previously undetected lesions. The study showed promising advantages of ICG in HCA resections, potentially reducing the risk of recurrence and malignant transformation. The combined robotic and laparoscopic approach improved the feasibility of parenchymal-sparing surgery, offering a cautious assessment of HCA lesions.

Indexed as

Adenoma, Liver CellIndocyanine GreenLiver NeoplasmsOptical ImagingRobotic Surgical ProceduresAdultFemaleHumansLiverIndocyanine GreenHepatocellular adenomaIndocyanine greenIntraoperative ultrasoundLiver surgeryMinimally invasive liver surgeryRobotic liver surgery

Identifiers

PMID38639875
OpenAlexW4394942915

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.