Evidence map›Paper›PMID 35740669›Full record

ArticleCancers2022

Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery.

Valerio Nardone, Alfonso Reginelli, Roberta Grassi, Giovanna Vacca, Giuliana Giacobbe, Antonio Angrisani, Alfredo Clemente, Ginevra Danti, Pierpaolo Correale, Salvatore Francesco Carbone and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 8 pooled it
3.6field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 8 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

16 authors at 6 institutions in 2 countries.

Valerio NardoneDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID 0000-0002-7347-0965
Alfonso ReginelliDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.ORCID 0000-0003-4809-6235
Roberta GrassiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Giovanna VaccaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Giuliana GiacobbeDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Antonio AngrisaniDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Alfredo ClementeDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Ginevra DantiDepartment of Emergency Radiology, Careggi University Hospital, 50134 Florence, Italy.
Pierpaolo CorrealeUnit of Medical Oncology, Grand Metropolitan Hospital "Bianchi Melacrino Morelli", 89100 Reggio Calabria, Italy.ORCID 0000-0003-2154-6734
Salvatore Francesco CarboneUnit of Medical Imaging, University Hospital of Siena, 53100 Siena, Italy.
Luigi PirtoliSbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Temple University, Philadelphia, PA 19140, USA.
Lorenzo BianchiNiguarda Hospital, University of Milan, 20100 Milan, Italy.
Angelo VanzulliNiguarda Hospital, University of Milan, 20100 Milan, Italy.
Cesare GuidaUnit of Radiation Oncology, Ospedale del Mare, 80147 Naples, Italy.
Roberto GrassiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Salvatore CappabiancaDepartment of Precision Medicine, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITUniversity of Milan · ITAzienda ospedaliera "Bianchi-Melacrino-Morelli" · ITAzienda Ospedaliero-Universitaria Careggi · ITTemple University · USUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a pilot study to evaluate the use of MRI delta texture analysis (D-TA) as a methodological item able to predict the frequency of complete pathological responses and, consequently, the outcome of patients with locally advanced rectal cancer addressed to neoadjuvant chemoradiotherapy (C-RT) and subsequently, to radical surgery. In particular, we carried out a retrospective analysis including 100 patients with locally advanced rectal adenocarcinoma who received C-RT and then radical surgery in three different oncological institutions between January 2013 and December 2019. Our experimental design was focused on the evaluation of the gross tumor volume (GTV) at baseline and after C-RT by means of MRI, which was contoured on T2, DWI, and ADC sequences. Multiple texture parameters were extracted by using a LifeX Software, while D-TA was calculated as percentage of variations in the two time points. Both univariate and multivariate analysis (logistic regression) were, therefore, carried out in order to correlate the above-mentioned TA parameters with the frequency of pathological responses in the examined patients' population focusing on the detection of complete pathological response (pCR, with no viable cancer cells: TRG 1) as main statistical endpoint. ROC curves were performed on three different datasets considering that on the 21 patients, only 21% achieved an actual pCR. In our training dataset series, pCR frequency significantly correlated with ADC GLCM-Entropy only, when univariate and binary logistic analysis were performed (AUC for pCR was 0.87). A confirmative binary logistic regression analysis was then repeated in the two remaining validation datasets (AUC for pCR was 0.92 and 0.88, respectively). Overall, these results support the hypothesis that D-TA may have a significant predictive value in detecting the occurrence of pCR in our patient series. If confirmed in prospective and multicenter trials, these results may have a critical role in the selection of patients with locally advanced rectal cancer who may benefit form radical surgery after neoadjuvant chemoradiotherapy.

Indexed as

MRIneoadjuvant chemo-radiationrectal cancertexture analysis

Identifiers

PMID35740669
PMCPMC9221458
OpenAlexW4283077878

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.