Evidence map›Paper›PMID 28550357›Full record

ArticleJapanese journal of radiology2017

Apparent diffusion coefficient in differentiation of pediatric posterior fossa tumors.

Soubhi Zitouni, Gonca Koc, Selim Doganay, Sibel Saracoglu, Kazim Z Gumus, Saliha Ciraci, Abdulhakim Coskun, Ekrem Unal, Huseyin Per, Ali Kurtsoy and 1 more

Abstract read
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In one paragraph

Article in Japanese journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. The role of machine learning, deep learning, and MRI findings in the classification of pediatric posterior fossa tumors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
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  11. Diffusion MRI in Evaluation of Pediatric Posterior Fossa Tumors.Asian Pacific journal of cancer prevention : APJCP · 2021
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  18. Use of Apparent Diffusion Coefficient Histogram in Differentiating Between Medulloblastoma and Pilocytic Astrocytoma in Children.Medical science monitor : international medical journal of experimental and clinical research · 2018
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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

11 authors at 1 institution in 1 country.

Soubhi ZitouniDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Gonca KocDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Selim DoganayDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Sibel SaracogluDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey. me.sibelsaracoglu@gmail.com.ORCID http://orcid.org/0000-0002-3192-4121
Kazim Z GumusBiomedical Imaging Research Center, Erciyes University, Kayseri, Turkey.
Saliha CiraciDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Abdulhakim CoskunDepartment of Pediatric Radiology, Faculty of Medicine, Erciyes University, 38039, Kayseri, Turkey.
Ekrem UnalDepartment of Pediatric Oncology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Huseyin PerDepartment of Pediatric Neurology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Ali KurtsoyDepartment of Neurosurgery, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Olgun KontasDepartment of Pathology, Faculty of Medicine, Erciyes University, Kayseri, Turkey.
Erciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the contribution of preoperative apparent diffusion coefficient (ADC) values in the differential diagnosis of pediatric posterior fossa tumors.

methodsForty-two pediatric patients (mean age 7.76 ± 4.58 years) with intra-axial tumors in the infra-tentorial region underwent magnetic resonance imaging. ADC measurement was performed using regions of interest, obtained from the solid component of the mass lesions. ADC ratios were calculated by dividing the ADC values from the mass lesions by the ADC values from normal cerebellar parenchyma. Lesions were categorized as juvenile pilocytic astrocytoma (JPA), ependymoma and medulloblastoma based on histopathological diagnosis. ADC values of the lesions and histopathological diagnoses were statistically correlated.

resultsHistopathological diagnosis showed that 14 lesions were JPA, 10 were ependymoma; 18 were medulloblastoma. Both ADC values and ADC ratios were significantly correlated with tumor types (p <0.05). Astrocytoma was distinguished from ependymoma with sensitivity 85.7% and specificity 90% using an ADC ratio ≥1.7 and medulloblastoma was distinguished from ependymoma with sensitivity 100% and specificity 88.89% using an ADC ratio ≤1.18.

conclusionPreoperative ADC values could differentiate the main histological subtypes of pediatric posterior fossa tumors with high sensitivity and specificity.

Indexed as

AdolescentChildChild, PreschoolDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansInfantInfratentorial NeoplasmsMaleSensitivity and SpecificityApparent diffusion coefficientDiffusion weighted magnetic resonance imagingPediatricPosterior fossa

Identifiers

PMID28550357
OpenAlexW2619080015

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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.