Evidence map›Paper›PMID 37858162›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023

Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer.

Issa Mohamad, Taher Abu Hejleh, Monther Qandeel, Maysa Al-Hussaini, Sami Koro, Ayat Taqash, Abdelatif Almousa, Fawzi Abuhijla, Ramiz Abuhijlih, Fatenah Ajlouni and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Clinical-pathological T-stage discrepancy in OPHL: impact on oncologic outcomes.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  4. Article
  5. [Integrated imaging and clinical features of glottic squamous cell carcinoma of the larynx: pathological association and prognosis assessment].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Article
  6. Head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
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 4 institutions in 3 countries.

Issa MohamadDepartment of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan. imohamad@khcc.jo.ORCID http://orcid.org/0000-0003-0153-9131
Taher Abu HejlehDepartment of Medical Oncology, King Hussein Cancer Center, Amman, Jordan.
Monther QandeelDepartment of Diagnostic Radiology, King Hussein Cancer Center, Amman, Jordan.
Maysa Al-HussainiDepartment of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan.
Sami KoroDepartment of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA.
Ayat TaqashDepartment of Biostatistics, King Hussein Cancer Center, Amman, Jordan.
Abdelatif AlmousaDepartment of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan.
Fawzi AbuhijlaDepartment of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan.
Ramiz AbuhijlihDepartment of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan.
Fatenah AjlouniDepartment of Diagnostic Radiology, King Hussein Cancer Center, Amman, Jordan.
Akram Al-IbraheemDepartment of Nuclear Medicine, King Hussein Cancer Center, Amman, Jordan.
Dima Abu LabanDepartment of Diagnostic Radiology, King Hussein Cancer Center, Amman, Jordan.
Tariq HusseinDepartment of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan.
Ebrahim MaytaDepartment of Surgical Oncology, King Hussein Cancer Center, Amman, Jordan.
Wisam Al-GargazDepartment of Surgical Oncology, King Hussein Cancer Center, Amman, Jordan.
Ali HosniRadiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada.
King Hussein Cancer Center · JOCleveland Clinic · USJordan University of Science and Technology · JOUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal cancer prior to laryngectomy is poorly evaluated in the literature. Therefore, we aim to evaluate the diagnostic value of HN-MRI in accurate pre-operative estimation of tumor invasion to laryngeal subsites in patients with laryngeal cancer.

methodsPatients with laryngeal cancer who underwent HN-MRI for cancer staging and underwent total laryngectomy between 2008 and 2021 were included. Sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy of HN-MRI in predicting tumor invasion of laryngeal subsites were calculated based on concordance between the HN-MRI and histopathological results.

resultsOne hundred and thirty-seven patients underwent total laryngectomy [primary: 82/137(60%), salvage 55/137(40%)]. The utilization of HN-MRI resulted in the downstaging of 16/137 (11.6%) patients and the upstaging of 8/137 (5.8%) patients. For the whole cohort, there was a significant discordance between HN-MRI and histopathology for T-category; out of 116 cT4a disease, 102(87.9%) were confirmed to have pT4a disease, and out of 17 cT3 disease, 9(52.9%) were confirmed to have pT3 disease, p < 0.001. The MRI overall diagnostic accuracy of predicting tumor invasion was 91%, 92%, 82%, 87%, 72%, 76%, 65% and 68% for base of tongue, arytenoid, vocal cord, posterior commissure, pre-epiglottic space, cricoid cartilage, inner thyroid cortex, and subglottis, respectively.

conclusionsIn patients with laryngeal cancer undergoing total laryngectomy, HN-MRI demonstrates promising accuracy in predicting tumor invasion of specific laryngeal subsites (e.g., base of tongue). Our findings showed the potential of HN-MRI as a valuable tool for pre-operative planning and treatment decision-making in this patient population.

Indexed as

Laryngeal NeoplasmsHumansLaryngectomyMagnetic Resonance ImagingNeoplasm InvasivenessNeoplasm StagingRetrospective StudiesHead and neck MRIHistopathologyLaryngeal cancerTotal laryngectomy

Identifiers

PMID37858162
PMCPMC10585883
OpenAlexW4387775371

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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.