Evidence map›Paper›PMID 35258775›Full record

ArticleLa Radiologia medica2022

An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals.

Caterina Giannitto, Andrea Alessandro Esposito, Giuseppe Spriano, Armando De Virgilio, Emanuele Avola, Giada Beltramini, Gianpaolo Carrafiello, Elena Casiraghi, Alessandra Coppola, Valentina Cristofaro and 15 more

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Article in La Radiologia medica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Review
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  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

25 authors at 6 institutions in 3 countries.

Caterina GiannittoDepartment of Diagnostic Radiology, Humanitas Clinical and Research Center IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, Italy. caterina.giannitto@humanitas.it.ORCID http://orcid.org/0000-0001-7894-9441
Andrea Alessandro EspositoRadiology Department, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122, Milan, Italy.
Giuseppe SprianoDepartment of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.
Armando De VirgilioDepartment of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.
Emanuele AvolaPostgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Giada BeltraminiMaxillo-Facial Surgery and Odontostomatology Unit, Fondazione I.R.C.C.S. Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Gianpaolo CarrafielloRadiology Department, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, via F. Sforza 35, 20122, Milan, Italy.
Elena CasiraghiComputer Science Department, Università Degli Studi Di Milano, via Celoria 18, 20133, Milan, Italy.
Alessandra CoppolaPostgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Valentina CristofaroPostgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Davide FarinaDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Piazzale Spedali Civili, 1, 25123, Brescia, Italy.
Francesca GainoDepartment of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.
Giulia LastellaPostgraduate School of Radiodiagnostic, University of Milan, Via Festa del Perdono 7, 20122, Milan, Italy.
Ludovica LofinoTraining School in Radiology, Humanitas University, Pieve Emanuele, Italy.
Roberto MaroldiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili of Brescia, Piazzale Spedali Civili, 1, 25123, Brescia, Italy.
Francesca PiccoliTraining School in Radiology, Humanitas University, Pieve Emanuele, Italy.
Lorenzo PignataroDepartment of Otolaryngology and Head and Neck Surgery, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
Lorenzo PredaDepartment of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.
Elena RussoDepartment of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.
Lorenzo SolimenoPostgraduate School of Otolaryngology, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Giulia VatteroniTraining School in Radiology, Humanitas University, Pieve Emanuele, Italy.
Antonello VidiriRadiology and Diagnostic Imaging Department, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Head Neck Tumor Board Humanitas
Luca BalzariniDepartment of Diagnostic Radiology, Humanitas Clinical and Research Center IRCCS, Via Alessandro Manzoni 56, 20089, Rozzano, Italy.
Giuseppe MercanteDepartment of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy.
Humanitas University · ITUniversity of Milan · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITUniversity of Brescia · ITNational Cancer Institute · MYUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the quality of the reports of loco-regional staging computed tomography (CT) or magnetic resonance imaging (MRI) in head and neck (H&N) cancer.

methodsConsecutive reports of staging CT and MRI of all H&N cancer cases from 2018 to 2020 were collected. We created lists of quality indicators for tumor (T) for each district and for node (N). We marked these as 0 or 1 in the report calculating a report score (RS) and a maximum sum (MS) of each list. Two radiologists and two otolaryngologists in consensus classified reports as low quality (LQ) if the RS fell in the percentage range 0-59% of MS and as high quality (HQ) if it fell in the range 60-100%, annotating technique and district. We evaluated the distribution of reports in these categories.

resultsTwo hundred thirty-seven reports (97 CT and 140 MRI) of 95 oral cavity, 52 laryngeal, 47 oropharyngeal, 19 hypo-pharyngeal, 14 parotid, and 10 nasopharyngeal cancers were included. Sixty-six percent of all the reports were LQ for T, 66% out of all the MRI reports, and 65% out of all CT reports were LQ. Eight-five percent of reports were HQ for N, 85% out of all the MRI reports, and 82% out of all CT reports were HQ. Reports of oral cavity, oro-nasopharynx, and parotid were LQ, respectively, in 76%, 73%, 100% and 92 out of cases.

conclusionReports of staging CT/MRI in H&N cancer were LQ for T description and HQ for N description.

Indexed as

Head and Neck NeoplasmsHospitalsHumansMagnetic Resonance ImagingNeoplasm StagingParotid GlandTomography, X-Ray ComputedCancerHead and neckInterdisciplinary Health TeamQualityRadiologyStructured reporting

Identifiers

PMID35258775
OpenAlexW4221046133

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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.