Prenatal MRI of neck masses with special focus on the evaluation of foetal airway.


Journal

La Radiologia medica
ISSN: 1826-6983
Titre abrégé: Radiol Med
Pays: Italy
ID NLM: 0177625

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 08 12 2018
accepted: 24 05 2019
pubmed: 9 6 2019
medline: 11 10 2019
entrez: 9 6 2019
Statut: ppublish

Résumé

Prenatal magnetic resonance imaging is the best tool to visualize foetal airway. To evaluate the performance of MRI in the assessment of foetal airway status in the presence of a neck mass. Two paediatric radiologists with 12- and 2-year experience in foetal imaging retrospectively analysed 23 foetal MRI examinations, performed between 2001 and 2016, after a second-level ultrasound suspicious for presence of a neck mass. Postnatal imaging, postoperative report, histology, autopsy, and clinical outcomes were the reference standard to calculate sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of prenatal MRI in detecting airway patency. We used the Cohen к statistics to estimate the interobserver agreement. We also assessed MRI performance in the diagnosis of the mass nature. We obtained data about postnatal airway status in 19 of 23 patients; prenatal MRI demonstrated a sensitivity of 9/9 [100%, 95% confidence interval (CI) 66-100%], specificity 8/10 (80%, 44-98%), accuracy 17/19 (89%, 67-99%), PPV 9/11 (82%, 48-98%), and NPV 8/8 (100%, 63-100%); the interobserver agreement was perfect. Prenatal MRI correctly identified 21 of 23 masses (к = 0.858); the interobserver agreement was almost perfect (к = 0.851). Prenatal MRI demonstrated high accuracy in assessing foetal airway status and diagnosing mass nature, allowing proper delivery planning.

Sections du résumé

BACKGROUND BACKGROUND
Prenatal magnetic resonance imaging is the best tool to visualize foetal airway.
OBJECTIVE OBJECTIVE
To evaluate the performance of MRI in the assessment of foetal airway status in the presence of a neck mass.
MATERIALS AND METHODS METHODS
Two paediatric radiologists with 12- and 2-year experience in foetal imaging retrospectively analysed 23 foetal MRI examinations, performed between 2001 and 2016, after a second-level ultrasound suspicious for presence of a neck mass. Postnatal imaging, postoperative report, histology, autopsy, and clinical outcomes were the reference standard to calculate sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of prenatal MRI in detecting airway patency. We used the Cohen к statistics to estimate the interobserver agreement. We also assessed MRI performance in the diagnosis of the mass nature.
RESULTS RESULTS
We obtained data about postnatal airway status in 19 of 23 patients; prenatal MRI demonstrated a sensitivity of 9/9 [100%, 95% confidence interval (CI) 66-100%], specificity 8/10 (80%, 44-98%), accuracy 17/19 (89%, 67-99%), PPV 9/11 (82%, 48-98%), and NPV 8/8 (100%, 63-100%); the interobserver agreement was perfect. Prenatal MRI correctly identified 21 of 23 masses (к = 0.858); the interobserver agreement was almost perfect (к = 0.851).
CONCLUSION CONCLUSIONS
Prenatal MRI demonstrated high accuracy in assessing foetal airway status and diagnosing mass nature, allowing proper delivery planning.

Identifiants

pubmed: 31175537
doi: 10.1007/s11547-019-01049-1
pii: 10.1007/s11547-019-01049-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

917-925

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Auteurs

Anna Ravelli (A)

Department of Pediatric Radiology and Neuroradiology, V. Buzzi Children's Hospital - ASST Fatebenefratelli-Sacco, Via Castelvetro 32, 20154, Milan, Italy. anna.ravelli@asst-fbf-sacco.it.

Marcello Napolitano (M)

Department of Pediatric Radiology and Neuroradiology, V. Buzzi Children's Hospital - ASST Fatebenefratelli-Sacco, Via Castelvetro 32, 20154, Milan, Italy.

Mariangela Rustico (M)

Department of Obstetrics and Gynecology, V. Buzzi Children's Hospital - ASST Fatebenefratelli-Sacco, Via Castelvetro 32, 20154, Milan, Italy.

Giovanna Riccipetitoni (G)

Department of Pediatric Surgery, V. Buzzi Children's Hospital - ASST Fatebenefratelli-Sacco, Via Castelvetro 32, 20154, Milan, Italy.

Giovanni Di Leo (G)

Radiology Unit, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.

Andrea Righini (A)

Department of Pediatric Radiology and Neuroradiology, V. Buzzi Children's Hospital - ASST Fatebenefratelli-Sacco, Via Castelvetro 32, 20154, Milan, Italy.

Francesco Sardanelli (F)

Radiology Unit, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.
Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Morandi 30, 20097, San Donato Milanese, Milan, Italy.

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