Evidence map›Paper›PMID 35680695›Full record

ArticleJournal of endocrinological investigation2022

Computerized tomography texture analysis of pheochromocytoma: relationship with hormonal and histopathological data.

A De Leo, G Vara, A Paccapelo, C Balacchi, V Vicennati, L Tucci, U Pagotto, S Selva, C Ricci, L Alberici and 7 more

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Article
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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

17 authors.

A De Leo *Pathology Unit, Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
G Vara *Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy. Giulio.vara@gmail.com.ORCID http://orcid.org/0000-0002-9551-4949
A PaccapeloDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
C BalacchiDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
V VicennatiDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
L TucciDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
U PagottoDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
S SelvaDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
C RicciDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
L AlbericiDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
F MinniDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
C NanniDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
F AmbrosiPathology Unit, Maggiore Hospital, Bologna, Italy.
D SantiniPathology Unit, Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
R GolfieriDiagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
G Di Dalmazi *Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.
C Mosconi *Diagnostic and Interventional Radiology Unit, Department of Diagnostic and Preventive Medicine, Via Albertoni 15, 40136, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPheochromocytomas are rare tumors which can present with heterogeneous secretion profiles, clinical manifestations, and radiologic appearance. Under a histopathological point of view, they can be characterized as more or less aggressive with the Pheochromocytoma of the Adrenal gland Scaled Score (PASS) and the Grading system for Adrenal Pheochromocytoma and Paraganglioma (GAPP) score. The aim of this study is to analyze the texture analysis characteristics of pheochromocytoma and identify whether the texture analysis can yield information aiding in the diagnosis and the characterization of those tumors.

methodsRadiological, biochemical, and histopathological data regarding 30 consecutive patients with histologically confirmed pheochromocytoma were analyzed. Images obtained in the unenhanced, late arterial, venous, and delayed phases were used for the texture analysis.

resultsUrinary epinephrine and metanephrine levels showed a significant correlation (R

conclusionIn conclusion, our study provides the proof of concept for the use of texture analysis on contrast-enhanced CT images as a noninvasive, quantitative tool for helping in the characterization of the clinical, biochemical, and histopathological features of pheochromocytoma.

Indexed as

Adrenal Gland NeoplasmsParagangliomaPheochromocytomaHumansMetanephrineRetrospective StudiesTomography, X-Ray ComputedMetanephrineAdrenalComputed tomographyPheocromocytomaRadiomicsTexture analysis

Identifiers

PMID35680695
PMCPMC9463266

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.