Imaging of Skull Base and Orbital Invasion in Sinonasal Cancer: Correlation with Histopathology.

orbit paranasal sinus neoplasm radiology skull base surgery

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
01 Oct 2021
Historique:
received: 09 07 2021
revised: 14 09 2021
accepted: 27 09 2021
entrez: 13 10 2021
pubmed: 14 10 2021
medline: 14 10 2021
Statut: epublish

Résumé

Pretreatment assessment of local extension in sinonasal cancer is essential for prognostic evaluation and surgical planning. The aim of this study was to assess the diagnostic performance of two common imaging techniques (CT and MRI) for the diagnosis of skull base and orbital invasion by comparing imaging findings to histopathological data. This was a retrospective two-center study including patients with sinonasal cancer involving the skull base and/or the orbit operated on between 2000 and 2019. Patients were included only if pre-operative CT and/or MRI, operative and histopathologic reports were available. A double prospective blinded imaging review was conducted according to predefined radiological parameters. Radiologic tumor extension was compared to histopathological reports, which were considered the gold standard. The predictive positive value (PPV) for the diagnosis of skull base/orbital invasion was calculated for each parameter. A total of 176 patients were included. Ethmoidal intestinal-type adenocarcinoma was the most common type of cancer (41%). The PPV for major modification of the bony skull base was 78% on the CT scan, and 89% on MRI. MRI signs of dural invasion with the highest PPVs were: contact angle over 45° between tumor and dura (86%), irregular deformation of dura adjacent to tumor (87%) and nodular dural enhancement over 2 mm in thickness (87%). Signs of orbital invasion had low PPVs (<50%). This retrospective study provides objective data about the diagnostic value of pretreatment imaging in patients with sinonasal cancer.

Sections du résumé

BACKGROUND BACKGROUND
Pretreatment assessment of local extension in sinonasal cancer is essential for prognostic evaluation and surgical planning. The aim of this study was to assess the diagnostic performance of two common imaging techniques (CT and MRI) for the diagnosis of skull base and orbital invasion by comparing imaging findings to histopathological data.
METHODS METHODS
This was a retrospective two-center study including patients with sinonasal cancer involving the skull base and/or the orbit operated on between 2000 and 2019. Patients were included only if pre-operative CT and/or MRI, operative and histopathologic reports were available. A double prospective blinded imaging review was conducted according to predefined radiological parameters. Radiologic tumor extension was compared to histopathological reports, which were considered the gold standard. The predictive positive value (PPV) for the diagnosis of skull base/orbital invasion was calculated for each parameter.
RESULTS RESULTS
A total of 176 patients were included. Ethmoidal intestinal-type adenocarcinoma was the most common type of cancer (41%). The PPV for major modification of the bony skull base was 78% on the CT scan, and 89% on MRI. MRI signs of dural invasion with the highest PPVs were: contact angle over 45° between tumor and dura (86%), irregular deformation of dura adjacent to tumor (87%) and nodular dural enhancement over 2 mm in thickness (87%). Signs of orbital invasion had low PPVs (<50%).
CONCLUSIONS CONCLUSIONS
This retrospective study provides objective data about the diagnostic value of pretreatment imaging in patients with sinonasal cancer.

Identifiants

pubmed: 34638447
pii: cancers13194963
doi: 10.3390/cancers13194963
pmc: PMC8507735
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Maxime Salfrant (M)

Otorhinolaryngology and Skull Base Center, AP-HP, Lariboisière Hospital, 75010 Paris, France.

Gabriel C T E Garcia (GCTE)

Radiology Department, Gustave Roussy cancer Campus, 94805 Villejuif, France.

Jean-Pierre Guichard (JP)

Radiology Department, AP-HP, Lariboisière Hospital, 75010 Paris, France.

François Bidault (F)

Radiology Department, Gustave Roussy cancer Campus, 94805 Villejuif, France.

Daniel Reizine (D)

Radiology Department, AP-HP, Lariboisière Hospital, 75010 Paris, France.

Anne Aupérin (A)

Biostatistical and Epidemiological Division, Gustave Roussy cancer Campus, 94805 Villejuif, France.

Damien Bresson (D)

Neurosurgery Department, AP-HP, Henri Mondor Hospital, 94000 Créteil, France.

Benjamin Verillaud (B)

Otorhinolaryngology and Skull Base Center, AP-HP, Lariboisière Hospital, 75010 Paris, France.

Philippe Herman (P)

Otorhinolaryngology and Skull Base Center, AP-HP, Lariboisière Hospital, 75010 Paris, France.

Antoine Moya-Plana (A)

Head and Neck Oncology Department, Gustave Roussy cancer Campus, 94805 Villejuif, France.

Classifications MeSH