Evidence map›Paper›PMID 27734275›Full record

ArticlePituitary2017

Apparent diffusion coefficient and pituitary macroadenomas: pre-operative assessment of tumor atypia.

Benita Tamrazi, Melike Pekmezci, Mariam Aboian, Tarik Tihan, Christine M Glastonbury

Abstract read
PubMed Publisher
In one paragraph

Article in Pituitary, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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  17. Time-dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors.Journal of neuroimaging : official journal of the American Society of Neuroimaging
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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

5 authors at 1 institution in 1 country.

Benita TamraziDepartment of Radiology, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA, 94143-0628, USA. btamrazi@chla.usc.edu.
Melike PekmezciDepartment of Pathology, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA, 94143-0628, USA.
Mariam AboianDepartment of Radiology, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA, 94143-0628, USA.
Tarik TihanDepartment of Pathology, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA, 94143-0628, USA.
Christine M GlastonburyDepartment of Radiology, University of California San Francisco, 505 Parnassus Avenue, M-391, San Francisco, CA, 94143-0628, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RATIONALE AND

objectivesPituitary macroadenomas are predominantly benign intracranial neoplasms that can be locally aggressive with invasion of adjacent structures. Biomarkers of aggressive behavior have been identified in the pathology literature, including the proliferative marker MIB-1. In the radiology literature, diffusion weighted imaging and low ADC values provide similar markers of aggressive behavior in brain tumors. The purpose of this study was to determine if there is a correlation between ADC and MIB-1 in pituitary macroadenomas. MATERIALS AND

methodsA retrospective review of diffusion imaging and immunohistochemical characteristics of pituitary macroadenomas was performed. The ADC ratio and specimen Ki-67 (MIB-1) indices were measured. Linear regression analysis of normalized ADC values and MIB-1 indices was used to compare these parameters.

resultsThere were 17 patients with available ADC maps and MIB-1 indices. Local invasion was confirmed by imaging and intraoperative visualization in 11 patients. The mean ADC ratio for the invasive group was 0.68, with a mean MIB-1 index of 2.21 %. In the noninvasive group, the mean ADC ratio was 1.05, with a mean MIB-1 index of 0.9 %. Linear regression analysis of normalized ADC values versus MIB-1 demonstrates a negative correlation, with a linear slope significantly different from zero (p = 0.003, correlation coefficient of 0.77, and r squared = 0.59).

conclusionWe determine a strong correlation of low ADC values and MIB-1, demonstrating the potential of diffusion imaging as a possible biomarker for atypical, proliferative adenomas, which may ultimately affect the surgical approach and postoperative management.

Indexed as

AdultBiomarkers, TumorDiffusion Magnetic Resonance ImagingFemaleHumansLinear ModelsMaleMiddle AgedPituitary NeoplasmsRetrospective StudiesBiomarkers, TumorDiffusion weighted imagingMagnetic resonance imagingPituitary adenomaProliferation index (MIB-1)

Identifiers

PMID27734275
OpenAlexW2529863956

What OpenQuestion holds

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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.