Evidence map›Paper›PMID 34136378›Full record

ArticleFrontiers in oncology2021

Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer.

Marina Maslova, Heinz Herden, Karin Schork, Michael Turewicz, Martin Eisenacher, Roland Schroers, Alexander Baraniskin, Thomas Mika

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Marina MaslovaDepartment of Radiology, Neuroradiology and Nuclear Medicine, Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany.
Heinz HerdenDepartment of Radiology, VAMED Clinic, Bad Berleburg, Germany.
Karin SchorkMedizinisches Proteom-Center, Ruhr University Bochum, Bochum, Germany.
Michael TurewiczMedizinisches Proteom-Center, Ruhr University Bochum, Bochum, Germany.
Martin EisenacherMedizinisches Proteom-Center, Ruhr University Bochum, Bochum, Germany.
Roland SchroersDepartment of Medicine, Hematology and Oncology, Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany.
Alexander BaraniskinDepartment of Medicine, Hematology and Oncology, Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany.
Thomas MikaDepartment of Medicine, Hematology and Oncology, Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany.
Ruhr University Bochum · DEUniversitätsklinikum Knappschaftskrankenhaus Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic strategies for patients with locally advanced rectal cancer (LARC) who are achieving a pathological complete response (pCR) after neoadjuvant radio-chemotherapy (neoCRT) are being increasingly investigated. Recent trials challenge the current standard therapy of total mesorectal excision (TME). For some patients, the treatment strategy of "watch-and-wait" seems a preferable procedure. The key factor in determining individual treatment strategies following neoCRT is the precise evaluation of the tumor response. Contrast-enhanced computer tomography (ceCT) has proven its ability to discriminate benign and malign lesions in multiple cancers. In this study, we retrospectively analyzed the ceCT based density of LARC in 30 patients, undergoing neoCRT followed by TME. We compared the tumors´ pre- and post-neoCRT density and correlated the results to the amount of residual vital tumor cells in the resected tissue. Overall, the density decreased after neoCRT, with the highest decrease in patients achieving pCR. Densitometry demonstrated a specificity of 88% and sensitivity of 68% in predicting pCR. Thus, we claim that ceCT based densitometry is a useful tool in identifying patients with LARC who may benefit from a "watch-and-wait" strategy and suggest further prospective studies.

Indexed as

computer tomographylocally advanced rectal cancerneoadjuvant chemoradiotherapypathologic complete responsepredictive modewatch and wait

Identifiers

PMID34136378
PMCPMC8202275
OpenAlexW3167504304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.