Open AccessThree‐dimensional ultrasonography for advanced neurosonography (neurosofe‐3D): Validation of a brain volume acquisition guideline
Author(s) -
Maiz Nerea,
Tajada Mauricio,
Rodríguez María Á.,
Irasarri Ana,
Molina Francisca S.,
Tubau Albert,
Burgos Jorge,
Alonso Ignacio,
Plasencia Walter,
Rodó Carlota,
Pijoan José I.,
Belar María,
De Paco Matallana Catalina
Publication year - 2021
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1111/aogs.13996
Subject(s) - coronal plane , sagittal plane , medicine , guideline , nuclear medicine , volume (thermodynamics) , prospective cohort study , radiology , surgery , pathology , physics , quantum mechanics
This study aimed to evaluate the quality of the brain volumes acquired following an evidence‐based guideline for the acquisition of brain volumes. Material and methods This was a prospective multicenter study. Five centers recruited five cases each, acquiring two volumes per case, at different gestational age ranges. From the collected volumes, 10 operators performed an advanced neurosonography of each case. The evaluable anatomic structures were counted in each volume and expressed as a percentage. The results were compared with those obtained in a previous study where no recommendations had been made for the acquisition of the volumes. Results Five hundred evaluations were included in the study. In the axial plane, 91.5% of the structures were satisfactorily evaluated, 81.8% in the coronal plane and 89.9% in the sagittal plane. These results were significantly better than those obtained in a previous study where the volumes had been acquired without any guidelines and the percentage of evaluable structures were 80% ( P < .001), 67.1% ( P < .001) and 55.1% ( P < .001) in the axial, coronal and sagittal planes, respectively. Conclusions The application of an evidence‐based guideline for the acquisition of brain volumes improves the quality of these by increasing the number of evaluable structures in the volume.