Evidence map›Paper›PMID 38572284›Full record

ArticleJournal of surgical case reports2024

Application of three-dimensional imaging software to map carcinomatosis in recurrent ovarian cancer.

Ana Gomes da Costa, Diogo Albergaria, Joana Almeida, Mónica Nave, Joana Oliveira, Ana Catarino, Dennis S Chi, João Casanova

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Ana Gomes da CostaGynecologic Oncology Unit, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Diogo AlbergariaDepartment of General Surgery, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Joana AlmeidaGynecologic Oncology Unit, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Mónica NaveGynecologic Oncology Unit, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Joana OliveiraDepartment of Anesthesiology, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Ana CatarinoGynecologic Oncology Unit, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Dennis S ChiGynecology Service, Department of Surgery; Memorial Sloan-Kettering Cancer Center, New York, 1275 York Ave, New York, NY 10065, USA.
João CasanovaGynecologic Oncology Unit, Hospital da Luz, Lisboa, Avenida Lusíada, 100,1500-065, Portugal.
Hospital da Luz · PTMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The treatment of recurrent ovarian cancer has been based on systemic therapy. The role of secondary cytoreductive surgery has been addressed recently in several trials. Imaging plays a key role in helping the surgical team to decide which patients will have resectable disease and benefit from surgery. The role of staging laparoscopy and several imaging and clinical scores has been extensively debated in the field. In other surgical fields there have been reports of using 3D imaging software and 3D printed models to help surgeons better plan the surgical approach. To the best of our knowledge, we report the first case of a patient with recurrent ovarian cancer undergoing 3D modeling before secondary cytoreductive surgery. The 3D modeling was of most value to evaluate the extension of the disease in our patient who underwent a successful secondary cytoreductive surgery and is currently free of the disease.

Indexed as

3D modelingcarcinomatosisimage processingsecondary cytoreductive surgery

Identifiers

PMID38572284
PMCPMC10984731
OpenAlexW4393905938

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.