Evidence map›Paper›PMID 32410063›Full record

ArticleLa Radiologia medica2020

MRI T2-weighted sequences-based texture analysis (TA) as a predictor of response to neoadjuvant chemo-radiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC).

Filippo Crimì, Giulia Capelli, Gaya Spolverato, Quoc Riccardo Bao, Anna Florio, Sebastiano Milite Rossi, Diego Cecchin, Laura Albertoni, Cristina Campi, Salvatore Pucciarelli and 1 more

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In one paragraph

Article in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Delta radiomics: a systematic review.La Radiologia medica · 2021
    Pooled it
  2. Article
  3. Medical Radiology: Current Progress.Diagnostics (Basel, Switzerland) · 2023
    Review
  4. Local Recurrences in Rectal Cancer: MRI vs. CT.Diagnostics (Basel, Switzerland) · 2023
    Review
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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

11 authors at 1 institution in 1 country.

Filippo CrimìDepartment of Medicine-DIMED, Institute of Radiology, University Hospital of Padova, Padua, Italy.
Giulia CapelliClinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy.
Gaya SpolveratoClinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy. gaya.spolverato@unipd.it.ORCID http://orcid.org/0000-0002-7275-2573
Quoc Riccardo BaoClinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy.ORCID http://orcid.org/0000-0003-3463-6659
Anna FlorioDepartment of Medicine-DIMED, Institute of Radiology, University Hospital of Padova, Padua, Italy.
Sebastiano Milite RossiDepartment of Medicine-DIMED, Institute of Radiology, University Hospital of Padova, Padua, Italy.
Diego CecchinNuclear Medicine Unit, Department of Medicine-DIMED, University Hospital of Padova, Padua, Italy.
Laura AlbertoniSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University Hospital of Padova, Padua, Italy.
Cristina CampiDepartment of Mathematics "Tullio Levi-Civita", University of Padova, Padua, Italy.
Salvatore PucciarelliClinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy.
Roberto StramareDepartment of Medicine-DIMED, Institute of Radiology, University Hospital of Padova, Padua, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine whether MRI T2-weighted sequences-based texture analysis (TA) can predict histopathological tumor regression grade (TRG) in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemo-radiotherapy (nCRT).

methodsData on patients undergoing curative-intent surgery for LARC were collected. Patients with a complete pathological response, or TRG1 according to Mandard's system were classified as responders, while patients with TRG ≥ 2 were classified as non-responders. Tumor TA was performed on each patient's paraxial T2w MRI in both pre- and post-nCRT scans, in order to extract histograms, gray-level co-occurrence matrix (GLCM) and run-length matrix (RLM) texture parameters. For features that showed a significant difference between the two groups, a receiver operating characteristic (ROC) curve was drawn.

resultsOverall, 62 patients with LARC, treated with nCRT and resective surgery at our institution between 2013 and 2019 were identified. Only post-nCRT GLCM maximum probability showed a significant difference between the two groups (2909 ± 4479 in responders vs. 6515 ± 8990 in non- responders; p = 0.039); at the ROC curve, Youden index showed a sensitivity of 14% and a specificity of 100% for this parameter.

conclusionsMRI T2-weighted sequences-based TA was not effective in predicting pathological complete response to nCRT in patients with LARC. Further studies are needed to thoroughly investigate the potential of MRI TA in this setting.

Indexed as

Chemoradiotherapy, AdjuvantAdultAntimetabolites, AntineoplasticCapecitabineFemaleFluorouracilHumansMagnetic Resonance ImagingMaleMiddle AgedNeoadjuvant TherapyRadiotherapy DosageRectal NeoplasmsRetrospective StudiesROC CurveSensitivity and SpecificityAntimetabolites, AntineoplasticCapecitabineFluorouracilClinical responseLocally advanced rectal cancerMagnetic resonance imagingNeoadjuvant chemo-radiotherapyPathological responseTexture analysis

Identifiers

PMID32410063
OpenAlexW3024594193

What OpenQuestion holds

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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.