Evidence map›Paper›PMID 22434494›Full record

ArticleLa Radiologia medica2012

MR imaging of rectal cancer before and after chemoradiation therapy.

R Del Vescovo, L E Trodella, I Sansoni, R L Cazzato, S Battisti, F Giurazza, S Ramella, F Cellini, R F Grasso, L Trodella and 1 more

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Article in La Radiologia medica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. 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.

R Del VescovoCampus Bio-Medico University of Rome, Via Alvaro del Portillo 200, Trigoria, Rome, Italy. r.delvescovo@unicampus.it
L E Trodella
I Sansoni
R L Cazzato
S Battisti
F Giurazza
S Ramella
F Cellini
R F Grasso
L Trodella
B Beomonte Zobel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was done to determine the diagnostic accuracy of magnetic resonance (MR) imaging in patients with rectal carcinoma by comparing post-chemoradiation MR imaging with pathological specimens. MATERIALS AND

methodsWe enrolled 39 patients with locally advanced rectal cancer. All patients received chemoradiation therapy before surgery and neoadjuvant chemoradiation therapy followed by MR imaging. MR images were analysed by a team of two expert radiologists unaware of the clinical and histopathological findings.

resultsFollowing neoadjuvant chemoradiation therapy, the analysis of MR images showed 23 (59%) patients with a rectal disease staged ≤T2 and 16 (41%) with a disease staged >T2. Post-treatment histological staging (TNM) revealed 13 patients with a disease >T2 and 26 patients with a disease ≤T2. Cohen's kappa to measure concordance between post-chemoradiation MR staging and histological response showed 83.6% concordance for disease confined to the serosa (≤T3): concordance was 97.22% for disease ≤N1 and 33.33% for disease >N1.

conclusionsMR imaging is critical for discovering T3 disease; moreover, morphological MR imaging does not always provide the opportunity to discern small residual cancer cells hidden in fibrotic tissue that could cause involvement of circumferential resection margin (CRM) on histology.

Indexed as

ChemoradiotherapyAntineoplastic Combined Chemotherapy ProtocolsCapecitabineDeoxycytidineFemaleFluorouracilHumansImage Interpretation, Computer-AssistedLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedNeoadjuvant TherapyNeoplasm StagingOrganoplatinum CompoundsOxaliplatinCapecitabineDeoxycytidineFluorouracilOrganoplatinum CompoundsOxaliplatin

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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.