Evidence map›Paper›PMID 36553988›Full record

ArticleHealthcare (Basel, Switzerland)2022

Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine.

Giorgio Bogani, Valentina Chiappa, Salvatore Lopez, Christian Salvatore, Matteo Interlenghi, Ottavia D'Oria, Andrea Giannini, Umberto Leone Roberti Maggiore, Giulia Chiarello, Simona Palladino and 3 more

Open access · goldAbstract 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 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
11.3field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 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

13 authors at 4 institutions in 1 country.

Giorgio BoganiFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.ORCID 0000-0001-8373-8569
Valentina ChiappaFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Salvatore LopezFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Christian SalvatoreDeepTrace Technologies, Scuola Universitaria Degli Studi Superiori IUSS-Pavia, 27100 Pavia, Italy.ORCID 0000-0001-9312-4675
Matteo InterlenghiDeepTrace Technologies, Scuola Universitaria Degli Studi Superiori IUSS-Pavia, 27100 Pavia, Italy.ORCID 0000-0002-3066-4276
Ottavia D'OriaDepartment of Medical and Surgical Sciences and Translational Medicine, Sapienza University, 00185 Rome, Italy.ORCID 0000-0002-3482-1523
Andrea GianniniDepartment of Medical and Surgical Sciences and Translational Medicine, Sapienza University, 00185 Rome, Italy.ORCID 0000-0002-4388-0082
Umberto Leone Roberti MaggioreFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.ORCID 0000-0002-3744-2668
Giulia ChiarelloFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Simona PalladinoFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Ludovica Spano' BascioFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Isabella CastiglioniDipartimento di Fisica G. Occhialini, University of Milan-Bicocca, 20121 Milano, Italy.ORCID 0000-0001-7191-5417
Francesco RaspagliesiFondazione IRCCS Istituto Nazionele dei Tumori di Milano, 20121 Milano, Italy.
Fondazione IRCCS Istituto Nazionale dei Tumori · ITIstituto Universitario di Studi Superiori di Pavia · ITSapienza University of Rome · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular/genomic profiling is the most accurate method to assess prognosis of endometrial cancer patients. Radiomic profiling allows for the extraction of mineable high-dimensional data from clinical radiological images, thus providing noteworthy information regarding tumor tissues. Interestingly, the adoption of radiomics shows important results for screening, diagnosis and prognosis, across various radiological systems and oncologic specialties. The central hypothesis of the prospective trial is that combining radiomic features with molecular features might allow for the identification of various classes of risks for endometrial cancer, e.g., predicting unfavorable molecular/genomic profiling. The rationale for the proposed research is that once validated, radiomics applied to ultrasonographic images would be an effective, innovative and inexpensive method for tailoring operative and postoperative treatment modalities in endometrial cancer. Patients with newly diagnosed endometrial cancer will have ultrasonographic evaluation and radiomic analysis of the ultrasonographic images. We will correlate radiomic features with molecular/genomic profiling to classify prognosis.

Indexed as

endometrial cancergenomicmolecularradiogenomicsradiomicsultrasound

Identifiers

PMID36553988
PMCPMC9778151
OpenAlexW4311720769

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.