Evidence map›Paper›PMID 28103922›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2017

Assessment and diagnostic accuracy of lymph node status to predict stage III colon cancer using computed tomography.

Erik Rollvén, Mirna Abraham-Nordling, Torbjörn Holm, Lennart Blomqvist

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
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  3. Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
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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

4 authors.

Erik RollvénDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Department of Radiology, Karolinska University Hospital, Solna, SE - 171 76, Stockholm, Sweden. erik.rollven@ki.se.
Mirna Abraham-NordlingDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden.
Torbjörn HolmDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Center for Digestive Diseases, Karolinska University Hospital, Stockholm, Sweden.
Lennart BlomqvistDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Department of Radiology, Karolinska University Hospital, Solna, SE - 171 76, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo study different imaging criteria for prediction of lymph node metastases (Stage III disease) in colon cancer using CT.

methodsIn a retrospective setting, 483 consecutive patients with histology proven colon cancer underwent elective primary resection during 2008-2011, a cohort of 119 patients were included. Contrast enhanced CT examinations, in portal-venous phase, were reviewed with assessment of the number of lymph nodes, their anatomical distribution, size, size ratio, internal heterogeneity, presence of irregular outer border and attenuation values. Sensitivity, specificity, PPV and NPV for each studied criteria for prediction of stage III disease was calculated.

resultsAccording to histopathology 80 patients were stage I-II and 39 were stage III. Of the studied CT-criteria for lymph node metastases per patient, internal heterogeneity in at least one lymph node resulted in the best performance with sensitivity, specificity, PPV and NPV of 79, 84, 70 and 89%, Odds ratio (OR) 20. Presence of irregular outer border resulted in a sensitivity, specificity, PPV and NPV of 59, 81, 61 and 82%, OR 6.2. If both internal heterogeneity and/or irregular outer border was used as a criterion this resulted in a sensitivity, specificity, PPV and NPV of 85, 75, 62 and 91%, OR 16.5. None of the size criteria used were predictive for stage III disease.

conclusionsWhen performing preoperative CT in patients with colon cancer, the imaging criteria that allow best prediction of stage III disease on CT are either presence of at least one lymph node with internal heterogeneity or internal heterogeneity and/or irregular outer border. These criteria have to be validated in a prospective study.

Indexed as

Tomography, X-Ray ComputedAdultAgedAged, 80 and overColonic NeoplasmsFemaleHumansLymphatic MetastasisLymph NodesMaleMiddle AgedNeoplasm StagingPositron-Emission TomographyPredictive Value of TestsProspective StudiesRetrospective StudiesColon cancerComputed tomographyLymph nodesStage IIIStaging

Identifiers

PMID28103922
PMCPMC5248480

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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.