Evidence map›Paper›PMID 29736166›Full record

ArticleGastroenterology research and practice2018

Gastric Cancer Maximum Tumour Diameter Reduction Rate at CT Examination as a Radiological Index for Predicting Histopathological Regression after Neoadjuvant Treatment: A Multicentre GIRCG Study.

Maria Antonietta Mazzei, Giulio Bagnacci, Francesco Gentili, Andrea Nigri, Veronica Pelini, Carla Vindigni, Francesco Giuseppe Mazzei, Gian Luca Baiocchi, Frida Pittiani, Paolo Morgagni and 8 more

Abstract read
In one paragraph

Article in Gastroenterology research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  4. International consensus on the management of metastatic gastric cancer: step by step in the foggy landscape : Bertinoro Workshop, November 2022.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
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  5. Review
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  14. Review
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  17. Review
  18. The role of delta radiomics in gastric cancer.Quantitative imaging in medicine and surgery · 2018
    Article
  19. 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

18 authors.

Maria Antonietta MazzeiDepartment of Medical, Surgical and Neuro Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.ORCID 0000-0001-6778-6894
Giulio BagnacciDepartment of Medical, Surgical and Neuro Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.
Francesco GentiliDepartment of Medical, Surgical and Neuro Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.ORCID 0000-0003-2492-5844
Andrea NigriFaculty of Statistics, Sapienza University of Rome, Roma, Italy.
Veronica PeliniDepartment of Medical, Surgical and Neuro Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.
Carla VindigniDepartment of Molecular and Developmental Medicine, Unit of Pathology, University of Siena, Siena, Italy.
Francesco Giuseppe MazzeiUnit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, Siena, Italy.ORCID 0000-0003-2145-7133
Gian Luca BaiocchiSurgical Clinic, Department of Experimental and Clinical Sciences, University of Brescia, Brescia, Italy.
Frida PittianiDepartment of Radiology, ASST Spedali Civili Brescia, Brescia, Italy.
Paolo MorgagniDepartment of General Surgery, Morgagni-Pierantoni Hospital, Forlì, Italy.
Enrico PetrellaRadiology Unit, Morgagni-Pierantoni Hospital, Forlì, Italy.
Gianni MuraDepartment of Surgery, Valdarno Hospital, Arezzo, Italy.
Beatrice VerdelliDepartment of Radiology, Valdarno Hospital, Arezzo, Italy.
Maria BencivengaGeneral and Upper GI Surgery Division, Department of Surgery, University of Verona, Verona, Italy.
Simone GiacopuzziGeneral and Upper GI Surgery Division, Department of Surgery, University of Verona, Verona, Italy.
Daniele MarrelliDepartment of Medical, Surgical and Neuro Sciences, Section of Surgery, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.
Franco RovielloDepartment of Medical, Surgical and Neuro Sciences, Section of Surgery, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.
Luca VolterraniDepartment of Medical, Surgical and Neuro Sciences, Unit of Diagnostic Imaging, Azienda Ospedaliera Universitaria Senese, University of Siena, Siena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the role of maximum tumour diameter (D-max) reduction rate at CT examination in predicting histopathological tumour regression grade (TRG according to the Becker grade), after neoadjuvant chemotherapy (NAC), in patients with resectable advanced gastric cancer (AGC). MATERIALS AND

methodsEighty-six patients (53 M, mean age 62.1 years) with resectable AGC (≥T3 or N+), treated with NAC and radical surgery, were enrolled from 5 centres of the Italian Research Group for Gastric Cancer (GIRCG). Staging and restaging CT and histological results were retrospectively reviewed. CT examinations were contrast enhanced, and the stomach was previously distended. The D-max was measured using 2D software and compared with Becker TRG. Statistical data were obtained using "R" software.

resultsThe interobserver agreement was good/very good. Becker TRG was predicted by CT with a sensitivity and specificity, respectively, of 97.3% and 90.9% for Becker 1 (D-max reduction rate > 65.1%), 76.4% and 80% for Becker 3 (D-max reduction rate < 29.9%), and 70.8% and 83.9% for Becker 2. Correlation between radiological and histological D-max measurements was strongly confirmed by the correlation index (c.i.= 0.829).

conclusionsD-max reduction rate in AGC patients may be helpful as a simple and reproducible radiological index in predicting TRG after NAC.

Identifiers

PMID29736166
PMCPMC5875045

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