Evidence map›Paper›PMID 31890756›Full record

ArticleEuropean journal of radiology open2019

Classification and Regression Tree (CART) model of sonographic signs in predicting thyroid nodules malignancy.

Tarek Smayra, Zahra Charara, Ghassan Sleilaty, Gaelle Boustany, Lina Menassa-Moussa, Georges Halaby

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Tarek SmayraRadiology Department, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Zahra ChararaRadiology Department, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Ghassan SleilatyClinical Research Center, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Gaelle BoustanyRadiology Department, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Lina Menassa-MoussaRadiology Department, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Georges HalabyEndocrinology Department, School of Medicine, Hotel-Dieu Hospital, Saint Joseph University, Alfred Naccache Street, PO Box: 16-6830, Beirut, Lebanon.
Saint Joseph University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a Classification and Regression Tree (CART) model in order to recognize the most suspicious sonographic features of thyroid nodules and efficiently guide their management.

methods791 thyroid fine needle aspiration cytology (FNAC) performed under ultrasound guidance between January 2015 and January 2017 were reviewed. Retrieved data consisted in qualitative (patient's gender, composition, echogenicity, shape, margins and echogenic foci of the nodule) and quantitative (patient's age and maximal diameter of the nodule) variables as well as the Bethesda score.

resultsPatients were 48.5 ± 13.7 years old with female to male ratio of 8:2. The nodules had median size of 2.3 (1.5-3.5) cm with a majority of solid (62.5 %) and isoechoic (50.8 %) features. 700 nodules (88.5 %) had a wider-than-tall shape, 600 (75.9 %) smooth margins and 113 (14.3 %) ill-defined ones. Echogenic foci were absent in 388 nodules (49.1 %) and, when present, largely dominated by punctate foci (32.5 %). Bethesda classes 3, 4 and 5, which require surgery, represented only 10.6 % of cases. They were significantly correlated with the taller-than-wide shape and with solid or predominantly solid features. There was no significant correlation between echostructure and Bethesda scores but we did find more nodules classified Bethesda 4 and 5 in the categories hypoechoic and severely hypoechoic. In the CART model we developed, the sequence leading to most nodules classified Bethesda 4 and 5 is: taller-than-wide shape, solid composition and hypoechoic or severely hypoechoic feature.

conclusionsTaller-than-wide, solid or predominantly solid, hypoechoic or severely hypoechoic nodules are likely to require surgery and might benefit from FNAC.

Indexed as

BiopsyFine-needleThyroid neoplasmsThyroid noduleUltrasonography

Identifiers

PMID31890756
PMCPMC6909041
OpenAlexW2990067639

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.