Evidence map›Paper›PMID 35240976›Full record

ArticleCurrent medical imaging2022

Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps.

Sena Azamat, Şule Karaman, Ibrahim Fethi Azamat, Gokhan Ertaş, Cemil Burak Kulle, Metin Keskin, Rabia Nergiz Dağoğlu Sakin, Barış Bakır, Ethem Nezih Oral, Merve Gulbiz Kartal

Open access · hybridAbstract read
In one paragraph

Article in Current medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 4 institutions in 1 country.

Sena AzamatInstitute of Biomedical Engineering, Bogazici University, Istanbul, Turkey.
Şule KaramanDepartment of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ibrahim Fethi AzamatDepartment of General Surgery, Faculty of Medicine, Koc University, Istanbul, Turkey.
Gokhan ErtaşDepartment of Biomedical Engineering, Yeditepe University, Istanbul, Turkey.
Cemil Burak KulleDepartment of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Metin KeskinDepartment of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Rabia Nergiz Dağoğlu SakinDepartment of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Barış BakırDepartment of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ethem Nezih OralDepartment of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Merve Gulbiz KartalDepartment of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Istanbul University · TRIstanbul Metropolitan Municipality · TRKoç University · TRYeditepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prediction of pathological responses for locally advanced rectal cancer using magnetic resonance imaging (MRI) after neoadjuvant chemoradiotherapy (CRT) is a challenging task for radiologists, as residual tumor cells can be mistaken for fibrosis. Texture analysis of MR images has been proposed to understand the underlying pathology.

objectiveThis study aimed to assess the responses of lesions to CRT in patients with locally advanced rectal cancer using the first-order textural features of MRI T2-weighted imaging (T2-WI) and apparent diffusion coefficient (ADC) maps.

methodsForty-four patients with locally advanced rectal cancer (median age: 57 years) who underwent MRI before and after CRT were enrolled in this retrospective study. The first-order textural parameters of tumors on T2-WI and ADC maps were extracted. The textural features of lesions in pathologic complete responders were compared to partial responders using Student's t- or Mann-Whitney U tests. A comparison of textural features before and after CRT for each group was performed using the Wilcoxon rank sum test. Receiver operating characteristic curves were calculated to detect the diagnostic performance of the ADC.

resultsOf the 44 patients evaluated, 22 (50%) were placed in a partial response group and 50% were placed in a complete response group. The ADC changes of the complete responders were statistically more significant than those of the partial responders (P = 0.002). Pathologic total response was predicted with an ADC cut-off of 1310 x 10

conclusionAs a result of the conversion of tumor cells to fibrosis, the skewness of the T2-WI before and after neoadjuvant CRT was statistically different in the complete response group compared to the partial response group, and the complete response group showed statistically lower relative T2-WI signal intensity than the partial response group after neoadjuvant CRT. Additionally, the ADC cut-off value of 1310 × 10

Indexed as

Neoadjuvant TherapyRectal NeoplasmsChemoradiotherapyFibrosisHumansMagnetic Resonance ImagingMiddle AgedRetrospective StudiesTreatment Outcomeapparent diffusion coefficient (ADC)computer aided-detectionlocally advanced rectal cancerRectum MRItextural featurestissue characterization

Identifiers

PMID35240976
PMCPMC9720879
OpenAlexW4214889396

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.