Evidence map›Paper›PMID 28751975›Full record

ArticleAnnals of medicine and surgery (2012)2017

Comparison between CT Net enhancement and PET/CT SUV for N staging of gastric cancer: A case series.

Amato Antonio Stabile Ianora, Michele Telegrafo, Nicola Maria Lucarelli, Valentina Lorusso, Arnaldo Scardapane, Artor Niccoli Asabella, Marco Moschetta

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Amato Antonio Stabile IanoraDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Michele TelegrafoDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Nicola Maria LucarelliDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Valentina LorussoDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Arnaldo ScardapaneDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Artor Niccoli AsabellaDIM - Interdisciplinary Department of Medicine, Section of Diagnostic Imaging, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
Marco MoschettaDETO - Department of Emergency and Organ Transplantations, Aldo Moro University of Bari Medical School, Piazza Giulio Cesare 11, 70124, Bari, Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe therapeutic approach of gastric cancer strictly depends on TNM staging mainly provided by CT and PET/CT. However, the lymph node size criterion as detected by MDCT causes a poor differential diagnosis between reactive and metastatic enlarged lymph nodes with low specificity values. Our study aims to compare 320-row CT Net enhancement and fluorine-18 fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography (F-FDG PET/CT) SUV for N staging of gastric cancer. MATERIALS AND

methods45 patients with histologically proven gastric cancer underwent CT and F-FDG PET/CT. Two radiologists in consensus evaluated all images and calculated the CT Net enhancement and F-FDG PET/CT SUV for N staging, having the histological findings as the reference standard. CT and F-FDG PET/CT sensitivity, specificity, diagnostic accuracy, positive and negative predictive values (PPV and NPV) were evaluated and compared by using the Mc Nemar test.

resultsThe histological examination revealed nodal metastases in 29/45 cases (64%). CT Net enhancement obtained sensitivity, specificity, accuracy, PPV and NPV of 90%, 81%, 87%, 90% and 81%, respectively. F-FDG PET/CT SUV obtained sensitivity, specificity, accuracy, PPV and NPV of 66%, 88%, 73%, 90% and 58%, respectively. No statistically significant difference between the two imaging modalities was found (p = 0.1).

conclusionCT Net enhancement represents an accurate tool for N staging of gastric cancer and could be considered as the CT corresponding quantitative parameter of F-FDG PET/CT SUV. It could be applied in the clinical practice for differentiating reactive lymph nodes from metastatic ones improving accuracy and specificity of CT.

Indexed as

CTGastric cancerNet enhancementN stagingPET CT

Identifiers

PMID28751975
PMCPMC5519227
OpenAlexW2734785361

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.