Evidence map›Paper›PMID 34846566›Full record

ArticleEuropean radiology2022

Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group.

Atul B Shinagare, Elizabeth A Sadowski, Hyesun Park, Olga R Brook, Rosemarie Forstner, Sumer K Wallace, Jeanne M Horowitz, Neil Horowitz, Marcia Javitt, Priyanka Jha and 15 more

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06144762 (Precision Imaging for Early Detection and Targeted Treatment Monitoring in Pancreatic Cancer), which is not on this map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 5% 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.

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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Guideline
  2. Pooled it
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  4. Review
  5. Review
  6. Computed tomographic findings in dogs with ovarian tumors: A tortuous ovarian artery consistently identifies ovarian origin in complex abdominal masses.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2025
    Article
  7. Review
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  16. Molecular Management of High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022
    Review
  17. Review
  18. Article
  19. 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

25 authors at 20 institutions in 9 countries.

Atul B ShinagareDepartment of Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. ashinagare@bwh.harvard.edu.
Elizabeth A Sadowski *Departments of Radiology, Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372, Madison, WI, 53792-3252, USA.
Hyesun ParkDepartment of Radiology, Brigham and Women's Hospital/Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Olga R BrookBeth Israel Deaconess Medical Center, 1 Deaconess Rd, Boston, MA, 02215, USA.
Rosemarie ForstnerDepartment of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Müllner Hauptstr. 48, 5020, Salzburg, Austria.
Sumer K WallaceDivision of Gynecologic Oncology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave. H4/664A, Madison, WI, 53792, USA.
Jeanne M HorowitzDepartment of Radiology, Northwestern University Feinberg School of Medicine, 676 N Saint Clair, Chicago, IL, 60611, USA.
Neil HorowitzDivision of Gynecologic Oncology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Marcia JavittMedical Imaging, Rambam Health Care Campus, Haifa, Israel.
Priyanka JhaDepartment of Radiology, University of California San Francisco, 505 Parnassus Avenue, Box 0628, San Francisco, CA, 94143-0628, USA.
Aki KidoDepartment of Diagnostic Radiology and Nuclear Medicine, Kyoto University Hospital, 54 Shogoinkawahara-cho, Sakyo-ku, Kyoto City, Kyoto, 6068507, Japan.
Yulia LakhmanDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66 Street, New York, NY, 10065, USA.
Susanna I LeeMassachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
Lucia ManganaroDepartment of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, V.le Regina Elena, 324 00161, Rome, Italy.
Katherine E MaturenDepartment of Radiology and Obstetrics and Gynecology, University of Michigan Hospitals, 1500 E Med Ctr Dr, Ann Arbor, MI, 48109, USA.
Stephanie NougaretDepartment of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France.
Liina PoderDepartment of Radiology and Biomedical Imaging, Obstetrics, Gynecology and Reproductive Sciences, UCSF, 505 Parnassus Ave, L-374, San Francisco, CA, 94143-0628, USA.
Gaiane M RauchUniversity of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Caroline ReinholdAugmented Intelligence & Precision Health Laboratory of the Research Institute of McGill University Health Centre, McGill University, Montreal, Canada, 1001 Decarie boul., Montreal, Quebec, H4A 3J1, Canada.
Evis SalaDepartment of Radiology, University of Cambridge, Cambridge Biomedical Campus, Box 218, Cambridge, CB2 0QQ, UK.
Isabelle Thomassin-NaggaraSorbonne Université, Assistance Publique - Hôpitaux de Paris, Service d'Imagerie, 4 rue de la Chine, 75020, Paris, France.
Herbert Alberto VargasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66 Street, New York, NY, 10065, USA.
Aradhana VenkatesanDivision of Diagnostic Imaging, Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler St., FCT 15.6074, MSC 1182, Houston, TX, 77030, USA.
Olivera NikolicClinical Center of Vojvodina, Center of Radiology, Faculty of Medicine, University of Novi Sad, 1-9 Hajduk Veljkova str. 21000, Novi Sad, Serbia.
Andrea G RockallDivision of Surgery and Cancer, Imperial College London, Hammersmith Campus, ICTEM Building, Du Cane Rd, London, W12 0NN, UK.
Brigham and Women's Hospital · USMemorial Sloan Kettering Cancer Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of California, San Francisco · USUniversity of Wisconsin–Madison · USAssistance Publique – Hôpitaux de Paris · FRBeth Israel Deaconess Medical Center · USHarvard University · USImperial College London · GBInstitut de Recherche en Cancérologie de Montpellier · FRKyoto University Hospital · JPMassachusetts General Hospital · USMcGill University Health Centre · CANorthwestern University · USRambam Health Care Campus · ILSapienza University of Rome · ITUniversitätskliniken Salzburg · ATUniversity of Cambridge · GBUniversity of Michigan–Ann Arbor · USUniversity of Novi Sad · RS

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

objectivesImaging evaluation is an essential part of treatment planning for patients with ovarian cancer. Variation in the terminology used for describing ovarian cancer on computed tomography (CT) and magnetic resonance (MR) imaging can lead to ambiguity and inconsistency in clinical radiology reports. The aim of this collaborative project between Society of Abdominal Radiology (SAR) Uterine and Ovarian Cancer (UOC) Disease-focused Panel (DFP) and the European Society of Uroradiology (ESUR) Female Pelvic Imaging (FPI) Working Group was to develop an ovarian cancer reporting lexicon for CT and MR imaging.

methodsTwenty-one members of the SAR UOC DFP and ESUR FPI working group, one radiology clinical fellow, and two gynecologic oncology surgeons formed the Ovarian Cancer Reporting Lexicon Committee. Two attending radiologist members of the committee prepared a preliminary list of imaging terms that was sent as an online survey to 173 radiologists and gynecologic oncologic physicians, of whom 67 responded to the survey. The committee reviewed these responses to create a final consensus list of lexicon terms.

resultsAn ovarian cancer reporting lexicon was created for CT and MR Imaging. This consensus-based lexicon has 6 major categories of terms: general, adnexal lesion-specific, peritoneal carcinomatosis-specific, lymph node-specific, metastatic disease -specific, and fluid-specific.

conclusionsThis lexicon for CT and MR imaging evaluation of ovarian cancer patients has the capacity to improve the clarity and consistency of reporting disease sites seen on imaging. KEY POINTS: • This reporting lexicon for CT and MR imaging provides a list of consensus-based, standardized terms and definitions for reporting sites of ovarian cancer on imaging at initial diagnosis or follow-up. • Use of standardized terms and morphologic imaging descriptors can help improve interdisciplinary communication of disease extent and facilitate optimal patient management. • The radiologists should identify and communicate areas of disease, including difficult to resect or potentially unresectable disease that may limit the ability to achieve optimal resection.

Indexed as

Ovarian NeoplasmsFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyTomography, X-Ray ComputedCTLexiconMRIOvarian cancerStaging

Identifiers

PMID34846566
PMCPMC9516633
OpenAlexW3217608827

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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.