Skip to main content

Cranial ultrasound findings in late preterm infants and correlation with perinatal risk factors



Late preterm infants are the most represented premature babies. They are exposed to a wide spectrum of brain lesions which are often clinically silent, supporting a possible role of cerebral ultrasound screening. Aim of the study is to describe the pattern of cranial ultrasound abnormalities in late preterm infants and to define the need for cranial ultrasound according to perinatal risk factors.


A hospital-based cranial ultrasound screening was carried out by performing two scans (at 1 and 5 weeks). Unfavorable cranial ultrasound at 5 weeks was defined as either persistent periventricular hyperechogenicity or severe abnormalities.


One thousand one hundred seventy-two infants were included. Periventricular hyperechogenicity and severe abnormalities were observed in, respectively, 19.6 % and 1 % of late preterms at birth versus 1.8 % and 1.4 % at 5 weeks. Periventricular hyperechogenicity resolved in 91.3 %. At the univariate analysis gestational age (OR 0.5, 95 % CI 0.32-0.77), Apgar score <5 at 5’ (OR 15.3, 1.35-173) and comorbidities (OR 4.62, 2.39-8.98) predicted unfavorable ultrasound at 5 weeks. At the multivariate analysis the accuracy in predicting unfavorable ultrasound, estimated by combined gestational age/Apgar/comorbidities ROC curve, was fair (AUC 74.6) and increased to excellent (AUC 89.4) when ultrasound at birth was included.


Gestational age and comorbitidies are the most important risk factors for detecting brain lesions. The combination of being born at 34 weeks and developing RDS represents the strongest indication to perform a cranial ultrasound. Differently from other studies, twin pregnancy doesn’t represent a risk factor.


Late preterm infants (LPIs) (defined as babies born between 34+0 and 36+6 weeks gestation) are the most represented premature infants (about 72 % of preterm births) in the developed countries, reaching 7–8 % of total live-births, and they account for the striking increase in premature birth which occurred in the last two decades [1].

The higher vulnerability of late preterm infants to develop diseases in the early neonatal period, compared to term babies, is well known. Mortality rate shows a 3-fold increase compared to term born controls and morbidity rates approximately double for each additional gestational week earlier than 38 weeks [1]. Late preterm infants have an increased risk of temperature instability, respiratory distress syndrome (RDS), excessive weight loss and dehydration requiring intravenous infusion, sepsis, hypoglycaemia and jaundice requiring phototherapy [2].

Brain vulnerability has also been documented in late preterm infants and neuromorbidity has been attributed to both extrinsic and intrinsic factors. The extrinsic vulnerability is related to detrimental effects of perinatal morbidities on the brain. On the other hand, intrinsic factors are related to the structural and molecular immaturity of the developing brain at specific gestational ages [3, 4]. Magnetic Resonance Imaging (MRI) studies have documented morphological maturational processes such as myelination, cortical folding and progressive involution of germinal matrix [5, 6], together with changes in specific functions like visual performances [7, 8].

The above-mentioned observations suggest a highly differentiated risk of neuromorbidities within the population of LPIs, being the younger babies born at 34 weeks at greater risk compared to the more mature LPIs born at 36 weeks.

In addition, they are exposed to a wider spectrum of brain lesions common to both most premature and more mature babies as they can develop not only germinal matrix-intraventricular hemorrhage (GMH-IVH) and cystic periventricular leukomalacia (cPVL) but also arterial/venous stroke [9], hypoxic-ischemic encephalopathy (HIE) [10], and those parenchymal injuries following hypoglycaemia. Most of these lesions are clinically subtle or silent in the neonatal period, remaining undiagnosed until later in childhood, and may contribute to explain the increased risk of impaired neurobehavioral outcome in LPs compared to term infants reported in the literature [11].

Early identification of LPs with brain abnormalities at cUS would allow early neurobehavioral intervention programs to improve long-term outcomes. However, considering the magnitude of the LP population, a universal cUS screening program would result in a heavy burden on caregivers, with increase in resource utilization and medical costs.

We therefore decided to perform a hospital-based cUS screening program aiming to describe the pattern of cUS abnormalities in the underinvestigated low-risk population of LPIs and to define the potential need for cUS according to perinatal risk factors.


A cUS screening of LPIs was carried out between December 2010 and May 2013 in a single neonatal tertiary care center (Neonatal Intensive Care Unit, NICU, IRCCS Fondazione Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy). All inborn LPIs (34+0–36+6 weeks gestational age) were considered eligible.

Two cUS scans were performed: the 1st within the first week of life (1st–7th day of life) and the 2nd at 5 weeks of life (28th–35th day of life, corresponding to 39–41 weeks corrected age). Babies were excluded for parental refusal or when they missed one of the scheduled scans.

The following obstetrics and neonatal characteristics were collected: multiple birth and chorionicity, mode of delivery (vaginal delivery, vacuum extractor, elective or emergency caesarean section), gender, gestational age (GA), birth weight (BW), Apgar score at 1 and 5 min of life, ward at admission (postnatal ward or Neonatal Intensive Care Unit, NICU).

Comorbidities were classified as: transient tachypnea (TT, defined as tachypnea > 60 breaths/min shortly after delivery that usually resolves within 72 h and doesn’t require any assisted ventilation), respiratory distress syndrome (RDS, requiring either nasal continuous positive pressure, nCPAP, or invasive mechanical ventilation, MV; data on INtubation-SURfactant-Extubation procedure, INSURE, were also collected), hypoglycaemia (defined as at least 1 value of blood glucose < 30 mg/dl), HIE treated with hypothermia, congenital anomalies, necrotizing enterocolitis (NEC, requiring surgical treatment), sepsis (defined as increase in serum inflammatory markers and positive blood culture associated with clinical signs of infection). Morbidity at NICU admission was recorded and considered in the analysis.

CUS scans were performed by fellow paediatricians (P.F, M.G, S.P, F.D, A.D.C, I.S.) according to the clinical protocol of the unit and under the supervision of a team of neonatologists (L.A.R, M.F, L.B, A.O) with experience in neonatal brain imaging longer than 10 years. The fellows were previously trained in performing cUS by the same neonatologist (L.A.R.) for at least 6 months with specific agreement on difficult and ambiguous findings like congenital frontal pseudocysts and normal appearance of optical radiations. Investigators performing cUS were blinded to previous cUS scans.

Babies were scanned at bedside in supine position or in parents’ arms. Scans were performed with an ACUSON Sequoia® 512 US machine using a convex transducer with frequency of 7.5 MHz.

CUS report included the description of: ventricular system, midline structures, parenchymal echogenicity, posterior fossa structures. Ventricular dilatation was estimated according to the measurement of anterior horn width [12] and of the thalamo-occipital distance [13].

The parenchymal echogenicity in the periventricular areas was defined as periventricular hyperechogenicity (PHE) when isoechogenic/hyperechogenic to the choroid plexus.

CUS findings were classified as: 1. normal; 2. mild abnormalities: asymmetric lateral ventricles, mild dilatation of the occipital horns (thalamo-occipital distance <95 percentiles), cysts of the chorioid plexus, frontal, temporal and caudothalamic pseudocysts, lenticulostriate vasculopathy; 3. PHE; 4. severe abnormalities: GHM-IVH, defined according to the Papile’s criteria [14], cPVL, venous/arterial stroke and malformations.

Ethics, consent and permissions

All procedures performed in the study were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consent was obtained from the parents of participants included in the study. Review board of Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano approved the study.

Statistical analysis

Agreement between cUS scans over time was examined using Cohen’s kappa statistics. We fitted univariate and multiple logistic regression models to calculate the odds ratio (OR) and 95 % confidence interval (CI) of having PHE or severe abnormalities at 5 weeks. To evaluate the usefulness of cUS when added to other selected clinical variables, after the logistic models we estimated the receiver operating characteristic (ROC) curves and their area under the curve (AUC). Statistical analyses were performed with Stata 12.


1588 LPIs were eligible, 1172 completed the protocol and were included (208 babies were not recruited at birth and 208 missed the 2nd scan).

The characteristics of the study population and early neonatal morbidities are shown in Table 1. Early neonatal morbidities were reported as follows: transient tachypnea in 25 babies (2.1 %), RDS requiring nCPAP in 102 (8.7 %), INSURE in 19 (1.6 %), mechanical ventilation in 45 (3.8 %), hypoglycaemia in 22 (1.8 %), HIE treated with hypothermia in 3 (0.2), congenital malformation at birth in 34 (3 %), NEC in 3 (0.2 %). No sepsis was observed.

Table 1 Characteristics of the study population

Changes in the incidence of cUS findings between 1st and 2nd cUS are shown in Table 2. PHE and severe cUS abnormalities were observed in, respectively, 19.6 % and 1 % of LPIs at birth versus 1.8 % and 1.4 % at 5 weeks. Agreement between cUS scans over time was fair (weighted Kappa = 0.28), mainly due to the transient nature of PHE (Table 2). Two hundred ten (91.3 %) out of 230 babies with PHE at the 1st scan had either normal or mild abnormal findings at the 2nd cUS scan. PHE persisted in twenty-one infants and these babies underwent MRI scan: multiple punctuate lesions were observed in 2 babies, not-cystic PVL (white matter loss and squared lateral ventricles) in 3 infants.

Table 2 Changes in the incidence of cUS findings and agreement between 1st and 2nd cUS scan (N;%)

Severe cUS abnormalities were observed in 17 babies (1.4 %) at 5 weeks: 2 cPVL, 4 arterial stroke, 2 venous infarction, 3 malformations (Blake’s pouch, agenesis of the corpus callosum, arachnoid cyst), 4 GMH-IVH (2 IVH grade 1, 2 IVH grade 2), 1 central grey matter and white matter lesions consistent with HIE and 1case of diffuse periventricular and subcortical patchy hyperechogenicity (due to congenital Cytomegalovirus infection). In 4/17 babies the first cUS did not show the lesion which was detected at the 2nd scan (2 arterial stroke, 1 small venous infarction and 1 IVH grade 1). In the two infants later developing cPVL, the 1st cUS presented PHE indistinguishable from the other ones .

All severe cUS abnormalities were confirmed by MRI.

The univariate regression (Table 3) was used to investigate the association between perinatal risk factors and abnormal cUS at 5 weeks, defined as either persistent PHE or severe abnormalities. Younger GA (categorized by week of GA, p 0.002), Apgar score ≤ 5 at 1 and 5 min (p =0.006 and p = 0.028 respectively) and the presence of comorbidities (p < 0.001), were more common in babies with abnormal cUS at 5 weeks. The risk of abnormal cUS (PHE/severe abnormalities) was inversely related to GA and doubled for every week gestation moving from 36 to 34 (34 weeks OR 1 -reference; 35 weeks OR 0.54, 95 % CI 0.22-1.25; 36 weeks OR 0.25, 95 % CI 0.99-0.6). RDS requiring either invasive or non-invasive ventilatory support was the most common neonatal morbidity and was significantly associated with the occurrence of abnormal cUS findings. Hypoglycaemia was also associated with cUS findings; however, due to the small number of observations (2 babies) this result deserves further confirmation.

Table 3 Univariate logistic regression for variables

Figure 1 shows the distribution of severe cUS abnormalities and PHE at 5 weeks according to GA at birth and the occurrence of comorbidities.

Fig. 1

Severe cerebral ultrasound (cUS) abnormalities and periventricular hyperechogenicity (PHE) at 5 weeks according to gestational age (GA) and the occurrence of comorbidities

At the multivariate analysis (Table 4) the accuracy in predicting unfavorable cUS at 5 weeks, estimated by combined GA/Apgar at 5’/comorbidities ROC curve, was fair (AUC 74.6) but increased to excellent (AUC 89.4) when cUS findings at birth (classified as normal, mild or severe abnormal and PHE) were included (Fig. 2).

Table 4 Multiple logistic regression
Fig. 2

ROC curves for variables. The thin continuous line represents the reference model; the dashed line represents the model with gestational age (GA), Apgar Score ≤ 5 at 5’ and comorbidity and the bold continuous line the model with GA, Apgar Score ≤ 5 at 5’, comorbidity and cerebral ultrasound at birth


Our data support the hypothesis that gestational age at birth and the occurrence of neonatal comorbidities are the most important risk factors for detecting brain lesions in the late preterm population.

The combination of being born at 34 weeks gestation and the occurrence of RDS represents the strongest indication to perform a cUS scan. Being born a week later, at 35 weeks gestation, reduces the absolute risk of developing severe brain lesions but it persists in case of comorbidities. This does not seem to be the case, any more, at 36 weeks when prematurity and comorbidities play an equivalent role.

The impact of timing of cUS on detecting brain lesions was investigated. At the 1st cUS we missed 4 out of 17 severe brain lesions detected at 5 weeks: 2 arterial stroke, 1 venous infarction and GMH- IVH grade 1 in one case. GMH-IVH mostly occurs during the first 72 h of age and a very early 1st scan (within the defined interval time 1st–7th day of life) may have missed it. The problem of undetected GMH-IVH may be further compounded by recent evidence showing that cUS sensitivity in detecting grade 1–2 GMH- IVH is surprisingly low, compared to MRI [15].

GMH-IVH is a rare although unusual event in late prematurity. In addition, also minor form occurring in VLBW babies are associated with impaired neurological outcome as very recent and robust studies demonstrated [16]. Thus, we included also grade I-II GMH- IVH in the unfavorable cUS. These negative effects are consistent with germinal matrix destruction and loss of astrocytic precursor cells [17] or with periventricular white matter inflammation due to astrocytes activation triggered by the long persistence of haemosiderin along the ependyma [18].

Difficulties in performing an early diagnosis tend to occur also with arterial stroke, a brain lesion developing within the first week, rarely beyond day 3 of life, but becoming more obvious at cUS over the following few days.

The fair agreement between cUS scans over time (1st versus 2nd scan) was mainly related to the transient nature of PHE. PHE was the most represented cUS abnormality in LPIs at birth although it disappeared within 5 weeks in 91 % of infants. It is a common finding in very preterm infants in the first week of life and it is more pronounced with declining GA. It can be either pathological (pre-cystic phase of cPVL) or transient (related to increased water content) and not resulting in a definite lesion [19]. Transient PHE, still detectable beyond the first week of life, can be classified as PVL I according to de Vries [19] and the duration of flaring is directly related to the severity of brain injury. However, the significance and the evolution of PHE in the more mature LPIs are still unclear. For this reason, we decided to scan babies for a second time at 5 weeks of age in order to detect both prolonged pathological flaring (defined by a duration of 14 days or more according to Dammann and Leviton) [20] and also those cavitations developing so late after birth. Our choice to perform a second, so late, scan is supported by the evidence that cPVL still occurs among early preterm infants (28–35 weeks) despite the dramatic decrease in its incidence at the youngest gestational ages (24–27 weeks) [21].

All babies with prolonged PHE at 5 weeks underwent MRI between 40 and 44 weeks corrected age disclosing white matter abnormalities in 23.8 % of infants: white matter loss like proper PVL in 3 out of 5 infants and punctate lesions in 2 babies [21] but there were no cases of proper cPVL. All these 5 babies presented with severe morbidities (RDS) at birth requiring NICU admission. In the remaining 76.2 % of babies with prolonged PHE conventional MRI did not reveal any white matter abnormalities. Several considerations support the low correlation we observed between cUS and MRI in diagnosing white matter abnormalities in this specific population, compared to previous published studies. Most of the studies comparing cUS and MRI on detection of white matter abnormalities [2224] have been performed in very preterm infants (<32 weeks gestation) while changes in periventricular flaring after birth and correlation with MRI in the more mature LP population are still underinvestigated. Moreover, in previous studies, unlike the present one, diffuse excessive high-signal intensity on T2-weighted MR images (the so called DEHSI) has been considered part of the spectrum of white matter injury. However, according to recent evidence DEHSI should be considered a developmental phenomenon related to prematurity rather than a pathological finding itself and this theory is well supported by the lack of correlation of this common MR finding in preterm infants at term with adverse long-term neurobehavioral outcome [25, 26].

In preterm infants, RDS requiring mechanical ventilation has been associated with fluctuation of cerebral blood flow in the first days of life [27] and increased risk of brain injury, mainly IVH. Cerebrovascular autoregulation and reactivity play a role in brain injury in premature babies and mechanical ventilation may interfere with these physiological mechanisms by affecting systemic haemodynamics and modulating arterial carbon dioxide tension [28, 29].

The causative association between comorbidities and severe cUS abnormalities deserves further analysis as they seem to act as a second “hit” triggering or aggravating pathological processes in the developing brain of premature babies and affecting both the white matter and the involuting structures, such as the germinal matrix.

Although we could not estimate the incidence of brain lesions in the LP population, as the study was not powered to do it, we confirmed previous observations suggesting that LPIs can develop a wide spectrum of cerebral lesions common to both most premature and more mature babies.

The univariate analysis did not support the possible role of twin birth as risk factor for brain lesions in LPIs. Twin pregnancies carry a higher risk of neonatal death, cerebral palsy and intrauterine death [30]. However, increased neonatal morbidity appears to be related to prematurity rather than to twin birth itself although monochorionicity seems to play a detrimental role, in particular when complicated by twin-to-twin transfusion syndrome. This study did not confirm these observations: 45 % of the LPIs enrolled were born from twin pregnancies but this condition did not represent a risk factor for brain lesions, not even for babies born from monochorionic pregnancies.


At the lower gestational age, within the late preterm period, the intrinsic vulnerability of the developing brain increases the risk of developing brain lesions in particular when extrinsic factors, such as comorbidities, coexist. The indication to perform a cranial ultrasound scan in a late preterm infant should be modulated according to gestational age and the severity of the postnatal course, in particular the occurrence of respiratory distress syndrome.



Area under curve


Birth weight


Confidence interval


Cystic periventricular leukomalacia


Cranial ultrasound


Gestational age


Germinal matrix hemorrhage-intraventricular hemorrhage


Hypoxic-ischemic encephalopathy




Late preterm infants


Magnetic resonance imaging


Mechanical ventilation


Nasal continuous positive pressure


Necrotizing enterocolitis


Odds ratio


Persistent hyperecogenicity


Respiratory distress syndrome


Receiver operating characteristic


Transient tachypnea


  1. 1.

    Shapiro-Mendoza CK, Lackritz EM. Epidemiology of late and moderate preterm birth. Semin Fetal Neonatal Med. 2012;17(3):120–5.

    PubMed Central  Article  PubMed  Google Scholar 

  2. 2.

    Wang ML, Dorer DJ, Fleming MP, Catlin EA. Clinical outcomes of near-term infants. Pediatrics. 2004;114(2):372–6.

    Article  PubMed  Google Scholar 

  3. 3.

    Kinney HC. The near-term (late preterm) human brain and risk for periventricular leukomalacia: a review. Semin Perinatol. 2006;30(2):81–8.

    Article  PubMed  Google Scholar 

  4. 4.

    Sannia A, Natalizia AR, Parodi A, Malova M, Fumagalli M, Rossi A, et al. Different gestational ages and changing vulnerability of the premature brain. J Matern Fetal Neonatal Med. 2013; doi:10.3109/14767058.2013.796166.

  5. 5.

    Childs AM, Ramenghi LA, Evans DJ, Ridgeway J, Saysell M, Martinez D, et al. MR features of developing periventricular white matter in preterm infants: evidence of glial cell migration. AJNR. 1998;19(5):971–6.

    CAS  PubMed  Google Scholar 

  6. 6.

    Judaš M, Sedmak G, Kostović I. The significance of the subplate for evolution and developmental plasticity of the human brain. Front Hum Neurosci. 2013;2(7):423.

    Google Scholar 

  7. 7.

    Bassi L, Ricci D, Volzone A, Allsop JM, Srinivasan L, Pai A, et al. Probabilistic diffusion tractography of the optic radiations and visual function in preterm infants at term equivalent age. Brain. 2008;31(Pt 2):573–82.

    Article  Google Scholar 

  8. 8.

    Groppo M, Ricci D, Bassi L, Merchant N, Doria V, Arichi T, et al. Development of the optic radiations and visual function after premature birth. Cortex. 2014;56:30–7.

    Article  PubMed  Google Scholar 

  9. 9.

    Benders MJ, Groenendaal F, De Vries LS. Preterm arterial ischemic stroke. Semin Fetal Neonatal Med. 2009;14(5):272–7.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Logitharajah P, Rutherford MA, Cowan FM. Hypoxic-ischemic encephalopathy in preterm infants: antecedent factors, brain imaging, and outcome. Pediatr Res. 2009;66(2):222–9.

    Article  PubMed  Google Scholar 

  11. 11.

    Marlow N. Late preterm and early term children: the early years at school. Arch Dis Child Fetal Neonatal. 2014;99(6):F442.

    Article  Google Scholar 

  12. 12.

    Liao MF, Chaou WT, Tsao LY, Nishida H, Sakanoue M. Ultrasound measurement of the ventricular size in newborn infants. Brain De. 1986;8(3):262–8.

    CAS  Google Scholar 

  13. 13.

    Sondhi V, Gupta G, Gupta PK, Patnaik SK, Tshering K. Establishment of nomograms and reference ranges for intra-cranial ventricular dimensions and ventriculo-hemispheric ratio in newborns by ultrasonography. Acta Paediatr. 2008;97(6):738–44.

    Article  PubMed  Google Scholar 

  14. 14.

    Papile LA, Burstein J, Burstein R, Koffler H. Incidence and evolution of subependymal and intraventricular hemorrhage: a study of infants with birth weights less than 1.500 g. J Pediatr. 1978;92(4):529–34.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Parodi A, Morana G, Severino MS, Malova M, Natalizia AR, Sannia A, et al. Low-grade intraventricular hemorrhage: is ultrasound good enough? J Matern Fetal Neonatal Med. 2013; doi:10.3109/14767058.2013.796162.

  16. 16.

    Bolisetty S, Dhawan A, Abdel-Latif M, Bajuk B, Stack J, Lui K. New South Wales and Australian Capital Territory Neonatal Intensive Care Units’ Data Collection. Intraventricular hemorrhage and neurodevelopmental outcomes in extreme preterm infants. Pediatrics. 2014;133(1):55–62.

    Article  PubMed  Google Scholar 

  17. 17.

    Vasileiadis GT, Gelman N, Han VK, Williams LA, Mann R, Bureau Y, et al. Uncomplicated intraventricular hemorrhage is followed by reduced cortical volume at near-term age. Pediatrics. 2004;114(3):e367–72.

    Article  PubMed  Google Scholar 

  18. 18.

    Supramaniam V, Vontell R, Srinivasan L, Wyatt-Ashmead J, Hagberg H, Rutherford M. Microglia activation in the extremely preterm human brain. Pediatr Res. 2013;73(3):301–9.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    De Vries LS, Eken P, Dubowitz LM. The spectrum of leukomalacia using cranial ultrasound. Behav Brain Res. 1992;31;49(1):1–6.

  20. 20.

    Dammann O, Leviton A. Duration of transient hyperechoic images of white matter in very-low-birthweight infants: a proposed classification. Dev Med Child Neurol. 1997;39(1):2–5.

    CAS  PubMed  Google Scholar 

  21. 21.

    Hamrick SE, Miller SP, Leonard C, Glidden DV, Goldstein R, Ramaswamy V, et al. Trends in severe brain injury and neurodevelopmental outcome in premature newborn infants: the role of cystic periventricular leukomalacia. J Pediatr. 2004;145(5):593–9.

    Article  PubMed  Google Scholar 

  22. 22.

    Maalouf EF, Duggan PJ, Counsell SJ, Rutherford MA, Cowan F, Azzopardi D, et al. Comparison of findings on cranial ultrasound and magnetic resonance imaging in preterm infants. Pediatrics. 2001;107(4):719–27.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Inder TE, Anderson NJ, Spencer C, Wells S, Volpe JJ. White matter injury in the premature infant: a comparison between serial cranial sonographic and MR findings at term. AJNR. 2003;24(5):805–9.

    PubMed  Google Scholar 

  24. 24.

    Leijser LM, Liauw L, Veen S, de Boer IP, Walther FJ, van Wezel-Meijler G. Comparing brain white matter on sequential cranial ultrasound and MRI in very preterm infants. Neuroradiology. 2008;50(9):799–811.

    Article  PubMed  Google Scholar 

  25. 25.

    de Bruïne FT, van den Berg-Huysmans AA, Leijser LM, Rijken M, Steggerda SJ, van der Grond J, et al. Clinical implications of MR imaging findings in the white matter in very preterm infants: a 2-year follow-up study. Radiology. 2011;261(3):899–906.

    Article  PubMed  Google Scholar 

  26. 26.

    Leitner Y, Weinstein M, Myers V, Uliel S, Geva K, Berger I, et al. Diffuse excessive high signal intensity in low-risk preterm infants at term-equivalent age does not predict outcome at 1 year: a prospective study. Neuroradiology. 2014;56(8):669–78.

    Article  PubMed  Google Scholar 

  27. 27.

    Cornette LG, Tanner SF, Ramenghi LA, Miall LS, Childs AM, Arthur RJ, et al. Magnetic resonance imaging of the infant brain: anatomical characteristics and clinical significance of punctate lesions. Arch Dis Child Fetal Neonatal Ed. 2002;86(3):F171–7.

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  28. 28.

    Perlman JM, Goodman S, Kreusser KL, Volpe JJ. Reduction in intraventricular hemorrhage by elimination of fluctuating cerebral blood-flow velocity in preterm infants with respiratory distress syndrome. N Engl J Med. 1985;23;312(21):1353–7.

  29. 29.

    Wyatt JS, Edwards AD, Cope M, Delpy DT, McCormick DC, Potter A, et al. Response of cerebral blood volume to changes in arterial carbon dioxide tension in preterm and term infants. Pediatr Res. 1991;29(6):553–7.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Scher AI, Petterson B, Blair E, Ellenberg JH, Grether JK, Haan E, et al. The risk of mortality or cerebral palsy in twins: a collaborative population-based study. Pediatr Res. 2002;52(5):671–81.

    Article  PubMed  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Monica Fumagalli.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Dr. MF conceptualized and designed the study, recruited patients, performed cerebral ultrasounds, contributed to interpretation of data, drafted the article and approved the final manuscript as submitted. Dr. LAR: conceptualized the study, reviewed the manuscript, revisited it critically for intellectual content and approved the final manuscript as submitted. Dr.'s LB, PF, FD, SP, MG, IS, SO: recruited patients, performed cerebral ultrasounds, contributed to acquisition of data, carried out the initial analyses, reviewed and revised the manuscriptand approved the final manuscript as submitted. Dr. ADC: recruited patients, performed cerebral ultrasound, contributed to acquisition of data, coordinated and supervised data collection, carried out the final analysis, drafted the initial manuscript and approved the final manuscript as submitted. Dr. DC: contributed to acquisition of data, designed the data collection instruments, coordinated and supervised data collection, carried out the final analysis, drafted the initial manuscript and approved the final manuscript as submitted. Dr. FT: performed cerebral MRI, contributed to acquisition of data, carried out the initial analyses and approved the final manuscript as submitted. Dr. FM: gave substantial contribution to conception, critically reviewed the manuscript and approved the final manuscript as submitted.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Fumagalli, M., Ramenghi, L.A., De Carli, A. et al. Cranial ultrasound findings in late preterm infants and correlation with perinatal risk factors. Ital J Pediatr 41, 65 (2015).

Download citation


  • Late preterm infant
  • Cranial ultrasound
  • Brain injury
  • Perinatal risk factors