Evidence map›Paper›PMID 35127479›Full record

ArticleFrontiers in oncology2021

Assessing Histology Structures by

Marion Tardieu, Yulia Lakhman, Lakhdar Khellaf, Maida Cardoso, Olivia Sgarbura, Pierre-Emmanuel Colombo, Mireia Crispin-Ortuzar, Evis Sala, Christophe Goze-Bac, Stephanie Nougaret

2 registry-linked trialsOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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.

NCT06084195 narecruitingnot on this mapstarted 2023, after this paper: background citation

Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging

TypeinterventionalSponsorInstitut du Cancer de Montpellier - Val d'AurelleRan2023 to 2029Enrolled120ConditionsHigh Grade Serous Ovarian CancerArmsBlood sample and tissue sample
NCT06144762 narecruitingnot on this mapstarted 2023, after this paper: background citation

Precision Imaging for Early Detection and Targeted Treatment Monitoring in Pancreatic Cancer

TypeinterventionalSponsorInstitut du Cancer de Montpellier - Val d'AurelleRan2023 to 2029Enrolled150ConditionsPancreas CancerArmsBiological/Vaccine: Blood sample and tissue sample
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 6 institutions in 3 countries.

Marion TardieuMontpellier Cancer Research Institute (IRCM), INSERM U1194, University of Montpellier, Montpellier, France.
Yulia LakhmanDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Lakhdar KhellafDepartment of Pathology, Montpellier Cancer Institute (ICM), Montpellier, France.
Maida CardosoBNIF Facility, L2C, UMR 5221, CNRS, University of Montpellier, Montpellier, France.
Olivia SgarburaMontpellier Cancer Research Institute (IRCM), INSERM U1194, University of Montpellier, Montpellier, France.
Pierre-Emmanuel ColomboDepartment of Surgery, Montpellier Cancer Institute (ICM), Montpellier, France.
Mireia Crispin-OrtuzarCancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
Evis SalaCancer Research UK, Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
Christophe Goze-BacBNIF Facility, L2C, UMR 5221, CNRS, University of Montpellier, Montpellier, France.
Stephanie NougaretMontpellier Cancer Research Institute (IRCM), INSERM U1194, University of Montpellier, Montpellier, France.
Institut de Recherche en Cancérologie de Montpellier · FRInserm · FRUniversité de Montpellier · FRCancer Research UK Cambridge Center · GBMemorial Sloan Kettering Cancer Center · USUniversity of Cambridge · GB

Funding

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

Abstract

The value of MR radiomic features at a microscopic scale has not been explored in ovarian cancer. The objective of this study was to probe the associations of MR microscopy (MRM) images and MRM-derived radiomic maps with histopathology in high-grade serous ovarian cancer (HGSOC). Nine peritoneal implants from 9 patients with HGSOC were imaged

Indexed as

histologymachine learningMRIovarian cancerradiomics

Identifiers

PMID35127479
PMCPMC8807492
OpenAlexW4205576166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.