Evidence map›Paper›PMID 36971272›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2023

Diagnostic performance of magnetic resonance imaging in preoperative local staging of rectal cancer after neoadjuvant chemoradiotherapy

Hakkı Çelik, Funda Barlık, Selman Sökmen, Cem Terzi, Aras Emre Canda, Özgül Sağol, Sülen Sarıoğlu, Mehtat Ünlü, İlknur Bilkay Görken, Zümre Arıcan Alıcıkuş and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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.

Hakkı ÇelikDepartment of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0003-4611-2481
Funda BarlıkDepartment of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0001-5615-8251
Selman SökmenDepartment of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0001-8235-7246
Cem TerziDepartment of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0003-2523-5140
Aras Emre CandaDepartment of General Surgery, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-8257-5881
Özgül SağolDepartment of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0001-9136-5635
Sülen SarıoğluDepartment of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0003-4877-3064
Mehtat ÜnlüDepartment of Pathology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-7170-7594
İlknur Bilkay GörkenDepartment of Radiation Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-0010-0154
Zümre Arıcan AlıcıkuşDepartment of Radiation Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-5445-6797
İlhan ÖztopDepartment of Medical Oncology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.ORCID 0000-0002-0425-0651
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper aims to investigate the diagnostic performance of magnetic resonance imaging (MRI) in predicting the pathologic stage of locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (CRT) and the role of MRI in selecting patients with a pathologic complete response (ypCR).

methodsRestaging MRI (yMRI) examinations of 136 patients with LARC treated with neoadjuvant CRT followed by surgery were retrospectively analyzed by two radiologists. All examinations were performed on a 1.5 Tesla MRI machine with a pelvic phased-array coil. T2-weighted turbo spin-echo images and diffusion-weighted imaging were obtained. Histopathologic reports of the surgical specimens were the reference standard. The accuracy, sensitivity, specificity, positive and negative predictive values (PPV and NPV) of yMRI in predicting the pathologic T-stage (ypT), N-stage, and ypCR were calculated. The inter-observer agreement was evaluated using kappa statistics.

resultsThe yMRI results showed 67% accuracy, 59% sensitivity, 80% specificity, 81% PPV, and 56% NPV in identifying ypT (ypT0-2 versus ypT3-4). In predicting the nodal status, the yMRI results revealed 63% accuracy, 60% sensitivity, 65% specificity, 47% PPV, and 75% NPV. In predicting ypCR, the yMRI results showed 84% accuracy, 20% sensitivity, 92% specificity, 23% PPV, and 90% NPV. The kappa statistics revealed substantial agreement between the two radiologists.

conclusionUtilization of yMRI showed high specificity and PPV in predicting the tumor stage and high NPV in predicting the nodal stage; in addition, yMRI revealed moderate accuracy in the T and N classifications, mainly due to underestimating the tumor stage and overestimating the nodal status. Finally, yMRI revealed high specificity and NPV but low sensitivity in predicting the complete response.

Indexed as

Neoadjuvant TherapyRectal NeoplasmsChemoradiotherapyHumansMagnetic Resonance ImagingNeoplasm StagingRetrospective StudiesSensitivity and SpecificityTreatment Outcomemagnetic resonance imagingneoadjuvant chemoradiotherapyneoplasm stagingRectal cancersurgical pathology

Identifiers

PMID36971272
PMCPMC10679710
OpenAlexW4316037169

What OpenQuestion holds

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LicenceCC BY-NC
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.