Evidence map›Paper›PMID 35233853›Full record

ArticleJournal of veterinary internal medicine2022

Prediction of vascular invasion using a 7-point scale computed tomography grading system in adrenal tumors in dogs.

Pascaline Pey, Swan Specchi, Federica Rossi, Alessia Diana, Ignazio Drudi, Allison L Zwingenberger, Philipp D Mayhew, Luciano Pisoni, Daniele Mari, Federico Massari and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Anatomical variations of the canine adrenal vessels.Anatomia, histologia, embryologia · 2022
    Article
  6. Imaging features of retroperitoneal extra-adrenal paragangliomas in 10 dogs.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2022
    Article
  7. Article
  8. 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

13 authors at 5 institutions in 2 countries.

Pascaline PeyDepartment of Veterinary Medical Science, Alma Mater Studiorum, University of Bologna, Ozzano Emilia (BO), Italy.ORCID https://orcid.org/0000-0003-3917-4756
Swan SpecchiOspedale Veterinario i Portoni Rossi, Bologna (BO), Italy.
Federica RossiClinica Veterinaria dell'Orologio, Sasso Marconi (BO), Italy.
Alessia DianaDepartment of Veterinary Medical Science, Alma Mater Studiorum, University of Bologna, Ozzano Emilia (BO), Italy.ORCID https://orcid.org/0000-0003-1709-3920
Ignazio DrudiDepartment of Statistical Sciences, Alma Mater Studiorum, University of Bologna, Bologna (BO), Italy.
Allison L ZwingenbergerDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California, Davis, California, USA.
Philipp D MayhewDepartment of Surgical & Radiological Sciences, School of Veterinary Medicine, University of California, Davis, California, USA.
Luciano PisoniDepartment of Veterinary Medical Science, Alma Mater Studiorum, University of Bologna, Ozzano Emilia (BO), Italy.
Daniele MariClinica Veterinaria Roma Sud, Rome, Italy.
Federico MassariOspedale Veterinario i Portoni Rossi, Bologna (BO), Italy.
Boris DalpozzoClinica Veterinaria dell'Orologio, Sasso Marconi (BO), Italy.
Federico FracassiDepartment of Veterinary Medical Science, Alma Mater Studiorum, University of Bologna, Ozzano Emilia (BO), Italy.ORCID https://orcid.org/0000-0003-3121-2199
Stefano NicoliClinica Veterinaria Roma Sud, Rome, Italy.
University of Bologna · ITIstituto di Sessuologia Clinica · ITUniversity of California, Davis · USVeterinary Oncological Center · ITAntigen Discovery (United States) · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

backgroundPrevious studies evaluating the accuracy of computed tomography (CT) in detecting caudal vena cava (CVC) invasion by adrenal tumors (AT) used a binary system and did not evaluate for other vessels.

objectiveTest a 7-point scale CT grading system for accuracy in predicting vascular invasion and for repeatability among radiologists. Build a decision tree based on CT criteria to predict tumor type.

methodsRetrospective observational cross-sectional case study. Abdominal CT studies were analyzed by 3 radiologists using a 7-point CT grading scale for vascular invasion and by 1 radiologist for CT features of AT. ANIMALS: Dogs with AT that underwent adrenalectomy and had pre- and postcontrast CT.

resultsNinety-one dogs; 45 adrenocortical carcinomas (50%), 36 pheochromocytomas (40%), 9 adrenocortical adenomas (10%) and 1 unknown tumor. Carcinoma and pheochromocytoma differed in pre- and postcontrast attenuation, contralateral adrenal size, tumor thrombus short- and long-axis, and tumor and thrombus mineralization. A decision tree was built based on these differences. Adenoma and malignant tumors differed in contour irregularity. Probability of vascular invasion was dependent on CT grading scale, and a large equivocal zone existed between 3 and 6 scores, lowering CT accuracy to detect vascular invasion. Radiologists' agreement for detecting abnormalities (evaluated by chance-corrected weighted kappa statistics) was excellent for CVC and good to moderate for other vessels. The quality of postcontrast CT study had a negative impact on radiologists' performance and agreement. CONCLUSIONS AND CLINICAL IMPORTANCE: Features of CT may help radiologists predict AT type and provide probabilistic information on vascular invasion.

Indexed as

Adrenal Gland NeoplasmsDog DiseasesPheochromocytomaAnimalsCross-Sectional StudiesDogsRetrospective StudiesTomography, X-Ray ComputedcaninecarcinomaCTpheochromocytomathrombus

Identifiers

PMID35233853
PMCPMC8965227
OpenAlexW4214907974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.