Pediatr Radiol (2002) 32: 667–673
DOI 10.1007/s00247-001-0627-x
Øystein E. Olsen
Rolv T. Lie
Helga Maartmann-Moe
Jouko Pirhonen
Ralph S. Lachman
Karen Rosendahl
Received: 2 April 2001
Accepted: 24 August 2001
Published online: 26 July 2002
Ó Springer-Verlag 2002
Presented in part at the 37th Congress of
the European Society of Paediatric Radiology, Lisbon, May 2000
Ø.E. Olsen (&) Æ K. Rosendahl
Department of Radiology, Haukeland
University Hospital,
5021 Bergen, Norway
E-mail: oeol@start.no
Tel.: +47-55-972400
Fax: +47-55-975140
R.T. Lie
Section for Medical Statistics
and Medical Birth Registry of Norway,
University of Bergen, Bergen, Norway
H. Maartmann-Moe
Department of Pathology, Haukeland
University Hospital, Bergen, Norway
J. Pirhonen
Department of Obstetrics
and Gynaecology, Ullevaal Hospital,
University of Oslo, Oslo, Norway
R.S. Lachman
International Skeletal Dysplasia Registry,
Cedars-Sinai Medical Center,
Los Angeles, California, USA
ORIGINAL ARTICLE
Skeletal measurements among infants
who die during the perinatal period:
new population-based reference
Abstract Background: Reference
data for roentgen skeletal measurements among infants who die during
the perinatal period is not available,
although it might prove helpful in
the study of pre-autopsy radiographs. Objective: Our aim was to
define new population-based reference data for skeletal measurements
among infants who die during the
perinatal period. Materials and
methods: We routinely took standardised pre-autopsy radiographs of
aborted and stillborn fetuses from
16 weeks gestational age to 7 days
after delivery during a period of
11 years in our hospital. The data
presented here represents nearly all
perinatal deaths in a well-defined
geographical area during the study
period. We calculated detailed plots
of estimated 10th–90th centiles and
quartiles of different skeletal measurements by gestational age at
death. Results: High correlations
were seen between birth weight and
the different skeletal measurements,
including cranial width (r>0.9,
P<0.001). We were not able to
Introduction
The recognition of skeletal malformations in post-mortem radiographic examinations of stillborns and infants
who die just after birth plays a significant role in assessing risks of recurrence. Under these circumstances,
two important aims of the radiological examination are
identify any asymmetrical pattern of
skeletal growth. Reference plots for
femoral, tibial, humeral, radial and
lumbar spine lengths, and for pelvic
width are presented. Conclusions:
We suggest that the current population-based reference data might be
beneficial, and that skeletal radiographic measurements might contribute substantially in the
assessment of fetal growth stage and
in detection of skeletal abnormalities
in infants who die during the perinatal period.
Keywords Conventional radiography Æ Fetus Æ Skeletal–
appendicular Æ Skeletal–axial Æ
Skeletal growth and development
first to detect possible overall growth anomalies, i.e.
growth restriction, and second to assess the proportions
between different bones in order to identify particular
abnormal growth patterns. For these purposes, reference
data for skeletal development is essential. A search of
the literature identified only a few studies providing
reference material, none of which had a well-defined
668
population base. The first studies on perinatal radiography primarily focused on the ability to estimate gestational age [1, 2, 3] and to evaluate fetal maturity in late
pregnancy [4]. Specific gestational age-independent US
parameters for assessment of fetal growth, e.g. femur
length/abdominal circumference ratio [5] and transverse
cerebellar diameter/abdominal circumference [6], have
shown discouraging predictive test values. The aim of
this study was to provide population-based references
data for skeletal linear measurements among infants
who die during the perinatal period.
Materials and methods
Autopsy was performed routinely and in accordance with a local
standard procedure in all cases of perinatal death, i.e. from
16 weeks gestational age to 7 days post partum, in Haukeland
University Hospital, Bergen, Norway, during the period 1988–
1998. One requirement was parental consent. Induced abortions
on a non-medical basis were not examined. A total of 1,024 examinations were done. In all cases, full-body radiographs were
obtained using a Faxitron, fine-grain film and low-kilovolt technique. Two anteroposterior (AP) radiographs were taken with the
fetus lying flat on the film with the extremities extended: one to
demonstrate the trunk and one, 10 kV less, for the extremities.
Additionally, one lateral radiograph was taken with the fetus lying in the decubitus position. This technique was described by
Seppänen [7]. Chromosome analyses were carried out when the
pathologist suspected a chromosome anomaly, and in all cases of
external malformations.
In order to reduce bias due to referral from the secondary to
tertiary health care level, we included only cases where the mother
resided in the Bergen local hospital area at the time of abortion or
delivery. Haukeland University Hospital is the only maternity
hospital in this area. The total population in the selected area was
316,000 in January 2000. We retrospectively reviewed a total of 542
cases. Of the 542 pregnancies, 47 (9%) were twin pregnancies, and
these were excluded from further analyses. Of the 495 cases included, 352 (71%) were prenatally dead fetuses, 65 (13%) procured
abortions, 52 (11%) early neonatally dead fetuses, and 26 (5%)
unknown. There were 184 (37%) female fetuses, 306 (62%) male
and 5 (1%) of unknown or uncertain sex. Relevant information
was obtained from the clinical records (maternal health, gestational
age estimates based on routine US screening, pregnancy and birth
history, and clinical findings in the fetus), and from the autopsy
records (fetal/neonate and placental findings at autopsy, chromosomal findings, and final diagnosis). The Medical Birth Registry
of Norway provided information on birth weight and gestational
age based on maternal menstrual history.
Radiographic measurements were done by one of us (Ø.E.O.),
in part on digitised films, computer-assisted, using the free UTHSCSA ImageTool program (developed at the University of Texas
Health Science Center at San Antonio, Texas, and available from
the internet via anonymous FTP from ftp://maxrad6.uthscsa.edu).
The following measurements were made: humeral, radial, femoral,
tibial and lumbar spine lengths, and pelvic width. The length of a
tubular bone was defined as the maximum distance between the
ossified rims of the opposite metaphyses in the AP projection. For
paired bones, the mean length was used for further calculations.
Pelvic width was measured as maximum pelvic osseous width in the
AP projection; lumbar length as the distance from the cranial
margin of the body of the first lumbar vertebra to the caudal
margin of the body of the fifth lumbar vertebra. Measurements
were disregarded when the predefined structures were not clearly
identified on the films, when extremity flexion was seen (for the
extremity measurements), or when a trunk rotational malposition
was noted (for pelvic measurements).
For all analyses, gestational age categories were defined using
menstrual history data. Quartiles and centiles for skeletal measurements by gestational age were calculated using calculated mean
and standard deviation [8], which was justified by a near-normal
data distribution. For statistical analysis, we used the statistical
package SPSS for Windows, release 9. The paired t-test was used to
analyse differences in mean gestational age based on US and
menstrual history data. For bivariate correlation analysis, Pearson’s coefficient was calculated. Cohen’s kappa was used to test the
prediction of low birth weight from skeletal measurements. All
reported P values are two-tailed.
Results
A fairly linear increase in skeletal measurements was
seen (Fig. 1). Although we think that it is reasonable to
present measurements by gestational age as continuous
curves, we do not imply that these curves in any way
represent a longitudinal pattern of growth. These data
are cross-sectional and represent only fetuses who died
during the perinatal period. Centiles for femoral
(n=346), tibial (n=329), humeral (n=342), radial
(n=333) and lumbar spine (n=284) lengths and pelvic
width (n=343) within gestational age groups were estimated and plotted separately. In a few gestational age
categories, increased spread between the curves was seen.
Removing one or two outliers in each respective category
could eliminate these deviations, but such a procedure was
not considered justifiable for the final presentation.
There were no differences in birth weight between
female and male fetuses within gestational age categories. Mean gestational age based on the last menstrual
period was 24.4 weeks (SE±0.38) (see Fig. 2). Mean
gestational age based on US measurements in the second
trimester was 23.5 weeks (SE±0.34), a difference of
nearly 1 week (P<0.001). The placenta and umbilical
cord were normal in 105 (21%) of the fetuses, while
abruptio placentae was found in 82 (17%), chorioamnionitis in 61 (12%) and placental infarction in 52 (11%)
of the cases. Other abnormal findings were present in
115 (23%) of the cases, e.g. velamentous insertion, fibrosis, reactive and degenerative changes. Description of
the placenta was missing in 80 (16%) of the cases. Of the
fetuses, 209 (42%) were considered ‘normal’ at autopsy.
External malformations were found in 94 (19%) and
other abnormalities in 185 (37%). The autopsy record
was missing in seven cases (1%). Table 1 lists the main
autopsy diagnoses.
The cases were categorised into 2-week gestational
age groups for further analysis. For a study of overall
differences in size ranges between these age groups, we
computed a new variable, mean length, which was the
mean length of the humerus, radius, femur, tibia and
the lumbar spine. This was done in order to reduce the
influence of inaccurate single measurements. The mean
length variable had a narrower 95% confidence interval
669
Fig. 1. Mean, quartiles and
10th–90th centiles of femoral
(n=346), tibial (n=329), humeral (n=342), radial (n=333)
and lumbar spine lengths
(n=284) and of pelvic width
(n=343) by 2-week gestational
age categories. The quartiles
and centiles were calculated
from each gestational-age category mean and standard deviation. Indicative lines were drawn
between the calculated values
in the gestational age groups 26–27 weeks and below
(less than 8 mm), and a wider interval in groups 28–
29 weeks and above (more than 7 mm). There were
considerable overlaps of the 95% confidence intervals
between groups from 22 to 23 weeks and 28 to
29 weeks, and also between the groups from 30 to
31 weeks and above. Similarly configured confidence
intervals for gestational age were seen for humeral,
radial, femoral, tibial and lumbar spine lengths, and
there were fairly high correlations between these parameters (r>0.9, P<0.001). Both pelvic width and
cranial outer width showed a fairly high correlation
with the mean length variable (r>0.9, P<0.001).
Femoral cylinder index, defined as femoral length/
femoral midshaft width, showed a fairly low correlation
with mean length, birth weight and gestational age
(r<0.37, P<0.001).
To investigate possible effects of growth restriction
on the body proportions, we identified cases where
growth restriction might be suspected. These were cases
where placental abnormality, apart from abruptio placentae, was reported, with abnormal findings at autopsy,
670
Fig. 2. Distribution of gestational age calculated as weeks from
the first day of the last menstrual period
Table 1. Main autopsy diagnoses in 495 singletons
Diagnosis
No. of cases
Percent
No definite diagnosis
Procured abortion
Abruptio placentae
Chorioamnionitis
Placenta infarction
Other placental pathology
Asphyxia/hypoxia
Pulmonary hyaline membranes
Multiple malformations
Dysmaturity/prematurity
Cardiovascular malformations
Maternal disease
Other
107
82
69
40
27
21
12
12
9
9
8
7
92
22%
17%
14%
8%
5%
4%
2%
2%
2%
2%
2%
1%
19%
Total
495
100%
chromosomal anomalies, and where growth restriction
had been suspected clinically. According to these criteria, 344 cases (69%) were suspected and 151 (31%) were
not suspected of having suffered growth restriction.
Figure 3 plots the relationships between mean length
and birth weight for cases suspected and not suspected
of growth restriction. No differences between the two
categories could be seen. Overall, log10 birth weight and
mean length showed a fairly high correlation (r=0.93,
P<0.001). Finally, we grouped cases according to birth
weight above or below the estimated 25th centile for
their gestational age group. These groups were then
cross-tabulated according to the mean length being
above or below the 25th centile for gestational age
group. The kappa value of this cross-tabulation was 0.75
(P<0.001). Figure 4 demonstrates the range of skeletal
growth within the same gestational age (Fig. 4).
Fig. 3. a The relationship between gestational age and mean length
variable (the mean of humeral, radial, femoral, tibial and lumbar
spine lengths). b The correspondence between the mean length
variable and birth weight. The cases were grouped according to
whether growth restriction was suspected (open circles) or not
suspected (filled circles)
Discussion
Our descriptive data shows a surprisingly regular pattern
of skeletal measurements among infants who die during
the perinatal period. There seems to be a fairly linear
relationship between gestational age and the size of
particular bones. The sizes of individual bones also had
a fairly high correlation. No differences in measurements
were seen between male and female fetuses, suggesting
that there is no need for sex-specific references for
skeletal measurements. The relationship between birth
weight and bone measurements did not differ between
cases that were suspected of having suffered growth restriction and, other cases (Fig. 3).
671
Fig. 4. Post-mortem radiographs of two prenatally dead
fetuses, both of 24-week gestational age, showing considerable differences in skeletal size.
The fetus on the left (femur
length 34 mm) died from abruption of the placenta and was
not considered at high risk of
growth restriction. The fetus on
the right (femur length 16 mm)
was terminated due to US
findings (hydrops) and was
considered to be at high risk of
growth restriction
The results deviated in part from those of earlier reports. Although our linear measurements tended to be
shorter than those reported in several US studies [9, 10,
11], a direct comparison is probably not justified because
of considerably different study populations. Likewise,
we also found shorter linear measurements than previously reported in a non-population-based radiography
study [12, 13]. In a study of post-mortem radiographs,
Seppänen [7] defined references for cranial summation
index, which we did not repeat, and for femoral cylinder
index [14], which in our material had a fairly low correlation with birth weight and gestational age, as well as
other skeletal measurements. Stempfle et al. [15] proposed a model for estimating gestational age based on
qualitative radiographic observations in a post-mortem
study, but their findings were not directly comparable to
ours.
Earlier studies have attempted to collect information
on infants thought to represent ‘normal material’ [7,15].
We report a population-based reference material of fetuses who died during the perinatal period. This probably accounts for the somewhat shorter skeletal
measurements in our study. Infants were included on a
geographical rather than on a medical basis, and we
thereby defined a representative sample of singleton
perinatal death in a Norwegian population, which could
act as a reference for similar samples. Some earlier
studies applied regression analyses as if handling longitudinal data [13, 15, 16]. This is methodologically
questionable, as post-mortem data are truly cross-sectional. For this reason, the use of descriptive data and
centiles was considered more suitable for our purposes.
The continuous lines of Fig. 1 represent an attempt to
smooth the data rather than indicating longitudinal data
sampling.
We have chosen to estimate gestational age as time
since the first day of the last menstrual period and present centiles for skeletal measurements in categories of
gestational age. There is a possible risk of underestimation of gestational age using US in a group of abnormal fetuses [17]. This possibility was supported by a
significant difference between the estimates of the US
and menstrual data methods in our material. Besides,
describing growth patterns as a function of US age
would be a misnomer, since US age estimation itself is
based on skeletal size parameters. Nevertheless, the use
of gestational age as ascertained by the last menstrual
period is not free from possible error, as a considerable
underestimation of gestational age among low-birthweight individuals has been reported [18]. We suspect
that erroneous estimation of gestational age possibly
accounts for the wide ranges of size within age groups. It
672
also possibly, in part, explains why we did not detect
differences in size between the infants suspected and not
suspected of suffering growth restriction. This may,
however, not diminish the practical validity of our data,
as the same extent of misdating would be expected in
similar samples.
The considerable overlaps in bone lengths and widths
between gestational age groups in our material could
also be explained by constitutional factors and by variable presence of abnormal growth between gestational
age categories. The wider inter-centile ranges of the
upper gestational age groups could be explained by
smaller group sizes, but also by increasing constitutional
and pathological variation in size by increasing gestational age. The true prevalence of growth restriction in
our material could not be established, but should be
higher than that reported for fetal and neonatal populations in general.
Asymmetrical growth restriction, i.e. a deviation
between weight and length measurements, and a possible divergence between different growth parameters
have been discussed in the literature [19, 20, 21, 22].
We found a fairly high correlation between all measured bone lengths and also between bone measurements and fetal weight. When comparing groups at
higher and lower risk of growth restriction, no differences were seen in these associations. There was also a
high correlation between low birth weight and lowcentile skeletal measurements, represented by a kappa
value of 0.75. Therefore, in our material, no evidence
of weight–skeletal size divergence or of bone dispro-
portionality was found. It has been suggested that
premature delivery and higher morbidity rates have a
greater association with symmetrical than with asymmetrical growth restriction [23], which could in part
explain our findings. Another explanatory factor could
be the left-skewed age distribution, although the concept of late onset of a more asymmetrical form of
growth restriction is controversial [23, 24]. The quite
regular patterns of skeletal sizes in our material are
useful when our references are used in a diagnostic
setting to screen for particular syndromes or dysplasias
with known skeletal asymmetry.
We conclude that skeletal measurements could contribute substantially in the assessment of growth stage
for gestational age among infants who die during the
perinatal period. We also suggest that the added use of
population-based reference tables may be valuable in the
assessment of individual cases, attempting to identify
specific syndromes or dysplasias by anomalies of proportions between skeletal parts. Validation of our reference data in independent material would be desirable
in order to establish their diagnostic accuracy. The
practical use of our results will primarily be in the workup of post-mortem radiographs of fetuses who die during the perinatal period.
Acknowledgements Haakon and Sigrun Odegaard’s Foundation
supported this work financially. We thank several contributors at
the Department of Obstetrics and Gynaecology, Haukeland University Hospital, for collecting the birth record data, and we thank
the Medical Birth Registry of Norway for supplying valuable registry data.
References
1. Williamson MR, Edwards DK (1980)
Prediction of gestational age of infants
from the abdominal radiograph. Pediatr
Radiol 9:229–231
2. Kuhns LR, Sherman MP, Poznanski
AK (1972) Determination of neonatal
maturation on the chest radiograph.
Radiology 102:597–603
3. Kuhns LR, Finnstrom O (1976) New
standards of ossification of the newborn. Radiology 119:655–660
4. Margolis AJ, Voss RG (1968) A method
for radiologic detection of fetal maturity. Am J Obstet Gynecol 101:383–389
5. Shalev E, Romano S, Weiner E, et al
(1991) Predictive value of the femur
length to abdominal circumference ratio in the diagnosis of intrauterine
growth retardation. Isr J Med Sci
27:131–133
6. Tongsong T, Wanapirak C, Thongpadungroj T (1999) Sonographic diagnosis
of intrauterine growth restriction
(IUGR) by fetal transverse cerebellar
diameter (TCD)/abdominal circumference (AC) ratio. Int J Gynaecol Obstet
66:1–5
7. Seppanen U (1985) The value of perinatal post-mortem radiography. Experience of 514 cases. Ann Clin Res 17
Suppl 44:1–59
8. Skjaerven R, Gjessing HK, Bakketeig
LS (2000) New standards for birth
weight by gestational age using family
data. Am J Obstet Gynecol 183:689–696
9. Warda AH, Deter RL, Rossavik IK,
et al (1985) Fetal femur length: a critical
reevaluation of the relationship to
menstrual age. Obstet Gynecol 66:69–75
10. Elejalde BR, de Elejalde MM (1986)
The prenatal growth of the human body
determined by the measurement of
bones and organs by ultrasonography.
Am J Med Genet 24:575–598
11. Persson PH, Weldner BM (1986) Normal range growth curves for fetal biparietal diameter, occipito frontal
diameter, mean abdominal diameters
and femur length. Acta Obstet Gynecol
Scand 65:759–761
12. van der Harten HJ, Brons JT, Schipper
NW, et al (1990) The prenatal development of the normal human skeleton: a
combined ultrasonographic and postmortem radiographic study. Pediatr
Radiol 21:52–56
13. Bagnall KM, Harris PF, Jones PR
(1982) A radiographic study of the
longitudinal growth of primary ossification centers in limb long bones of the
human fetus. Anat Rec 203:293–299
14. Whitley CB, Gorlin RJ (1983) Achondrogenesis: new nosology with evidence
of genetic heterogeneity. Radiology
148:693–698
673
15. Stempfle N, Huten Y, Fondacci C, et al
(1995) Fetal bone age revisited: proposal of a new radiographic score. Pediatr Radiol 25:551–555
16. Axelsson O, Hemmingsson A (1974)
Roentgenologic determination of foetal
maturity. Ups J Med Sci 79:94–96
17. Nguyen T, Larsen T, Engholm G, et al
(2000) A discrepancy between gestational age estimated by last menstrual
period and biparietal diameter may indicate an increased risk of fetal death
and adverse pregnancy outcome. BJOG
107:1122–1129
18. Gjessing HK, Skjaerven R, Wilcox AJ
(1999) Errors in gestational age: evidence of bleeding early in pregnancy.
Am J Public Health 89:213–218
19. Sherwood RJ, Robinson HB, Meindl
RS, et al (1997) Pattern and process of
growth of the abnormal human fetus.
Hum Biol 69:849–871
20. Campbell BA (1998) Utilizing sonography to follow fetal growth. Obstet Gynecol Clin North Am 25:597–607
21. Kjar I (1974) Skeletal maturation of the
human fetus assessed radiographically
on the basis of ossification sequences in
the hand and foot. Am J Phys Anthropol 40:257–275
22. Lee W, Barton S, Comstock CH, et al
(1991) Transverse cerebellar diameter: a
useful predictor of gestational age for
fetuses with asymmetric growth retardation. Am J Obstet Gynecol 165:1044–
1050
23. Lin CC, Su SJ, River LP (1991) Comparison of associated high-risk factors
and perinatal outcome between symmetric and asymmetric fetal intrauterine
growth retardation. Am J Obstet Gynecol 164:1535–1541
24. Vik T, Vatten L, Jacobsen G, et al
(1997) Prenatal growth in symmetric
and asymmetric small-for-gestationalage infants. Early Hum Dev 48:167–176