Disproportion of Corpus Callosum in Fetuses With Malformations of Cortical Development.

OBJECTIVE: To evaluate corpus callosum (CC) size in fetuses with malformations of cortical development (MCD) and to explore the diagnostic value of three CC length (CCL) ratios in identifying cortical abnormalities. METHODS: This is a single-center retrospective study in singleton fetuses at 20-37 weeks of gestation between April 2017 and August 2022. The midsagittal plane of the fetal brain was obtained and evaluated for the following variables: length, height, area of the corpus callosum, and relevant markers, including the ratios of corpus callosum length to internal cranial occipitofrontal dimension (CCL/ICOFD), corpus callosum length to femur length (CCL/FL), and corpus callosum length to cerebellar vermian diameter (CCL/VD). Intra-class correlation coefficient (ICC) was used to evaluate measurement consistency. The accuracy of biometric measurements in prediction of MCD was assessed using the area under the receiver-operating-characteristics curves (AUC). RESULTS: Fetuses with MCD had a significantly decreased CCL, height (genu and splenium), and area as compared with those of normal fetuses (P < .05), but there was no significant difference in body height (P = .326). The CCL/ICOFD, CCL/FL, and CCL/VD ratios were significantly decreased in fetuses with MCD when compared with controls (P < .05). The CCL/ICOFD ratio offered the highest predictive accuracy for MCD, yielding an AUC of 0.856 (95% CI: 0.774-0.938, P < .001), followed by CCL/FL ratio (AUC, 0.780 (95% CI: 0.657-0.904), P < .001), CCL/VD ratio (AUC, 0.677 (95% CI: 0.559-0.795), P < .01). CONCLUSION: The corpus callosum biometric parameters in fetuses with MCD are reduced. The CCL/ICOFD ratio derived from sonographic measurements is considered a promising tool for the prenatal detection of cortical malformations. External validation of these findings and prospective studies are warranted.

Prenatal ultrasound findings and clinical outcomes of uniparental disomy: a retrospective study.

BACKGROUND: Uniparental disomy is the inheritance of a homologous chromosome pair or part of homologous chromosomes from only one parent. However, the clinical significance of uniparental disomy and the difference among the prognosis of involvement of different chromosomes remain unclear. OBJECTIVE: To assess the associated prenatal ultrasound presentations and clinical outcomes of uniparental disomy on different chromosomes and to analyze the relationship between prenatal ultrasound markers and clinical outcomes. STUDY DESIGN: We retrospectively analyzed data from fetuses with uniparental disomy diagnosed using chromosome microarray analysis with the Affymetrix CytoScan HD array at our institution between January 2013 and September 2022. The relationship between prenatal ultrasound findings, the involved chromosome(s), and clinical outcomes was evaluated. RESULTS: During the study period, 36 fetuses with uniparental disomy were diagnosed, and two cases were excluded for non-available postnatal data. Finally, 34 fetuses were included in our study, of which 30 (88.2%) had uniparental disomy occurring on a single chromosome, while four (11.8%) were identified with uniparental disomy on different chromosomes. The most frequently involved chromosomes were chromosomes 16, X and 2, which presented in 8 (23.5%), 5 (14.7%) and 4 (11.8%), respectively. Prenatal ultrasound abnormalities were detected in 21 fetuses, with the most common category being multiple abnormalities (12 (57.1%)). Fetal growth restriction was identified in 14 (41.2%) fetuses, all of which coexisted with other abnormal findings. The rate of adverse perinatal outcomes in patients with uniparental disomy and fetal abnormalities was significantly higher than those without abnormalities (76.2% versus 15.4%, P = 0.002). The incidence of fetal or neonatal death was significantly higher in fetuses with fetal growth restriction than those without (85.7% versus 30.0%, P = 0.004). CONCLUSIONS: The prognosis of fetuses with uniparental disomy combined with fetal abnormalities, especially fetal growth restriction, was much poorer than those without.

Development and validation of a predictive model for fetal cerebral maturation using ultrasound for fetuses with normal growth and fetal growth restriction.

Background: Investigation of fetal cerebral maturation (FCM) is necessary and important to provide crucial prognostic information for normal and high-risk fetuses. The study aimed to develop a valid and quantitative predictive model for assessing FCM using ultrasound and validate the model for fetuses with normal and restricted growth. Methods: This was a multicenter prospective observational study. Fetuses with normal growth recruited from a university teaching hospital (Center 1) and a municipal maternal unit (Center 2) were included in the training set and external validation set 1, respectively. The 124 growth-restricted fetuses enrolled in Center 1 were included in validation set 2. FCM was used to describe the gestational age (GA) in this study. The model was developed based on the sum of fetal cranial parameters (total fetal cranial parameters), including head circumference (HC) and depths of the insula (INS) and sylvian fissure (SF), parieto-occipital fissure (POF), and calcarine fissure (CF). A regression model, constructed based on total fetal cranial parameters and predicted GA, was established using the training set and validated using external validation set 1 and validation set 2. Results: The intra- and interobserver intraclass correlation coefficients for HC, and depths of the INS and SF, POF, and CF were >0.90. An exponential regression equation was used to predict FCM: predicted GA of FCM (weeks) =11.16 × exp (0.003 × total fetal cranial parameters) (P<0.001; adjusted R2=0.973), standard error of estimate, 0.67 weeks. The standard error of the predicted GA of FCM from the model was ±4.7 days. In the validation set 1, the mean standard error of the developed prediction model for FCM was 0.97 weeks. The predictive model showed that FCM was significantly delayed in validation set 2 (2.10±1.31 weeks, P<0.001), considering the GA per the last menstrual period. Conclusions: The predictive performance of the FCM model developed in this study was excellent, and the novel model may be a valuable investigative tool during clinical implementation.

Deep learning system improved detection efficacy of fetal intracranial malformations in a randomized controlled trial.

Congenital malformations of the central nervous system are among the most common major congenital malformations. Deep learning systems have come to the fore in prenatal diagnosis of congenital malformation, but the impact of deep learning-assisted detection of congenital intracranial malformations from fetal neurosonographic images has not been evaluated. Here we report a three-way crossover, randomized control trial (Trial Registration: ChiCTR2100048233) that assesses the efficacy of a deep learning system, the Prenatal Ultrasound Diagnosis Artificial Intelligence Conduct System (PAICS), in assisting fetal intracranial malformation detection. A total of 709 fetal neurosonographic images/videos are read interactively by 36 sonologists of different expertise levels in three reading modes: unassisted mode (without PAICS assistance), concurrent mode (using PAICS at the beginning of the assessment) and second mode (using PAICS after a fully unaided interpretation). Aided by PAICS, the average accuracy of the unassisted mode (73%) is increased by the concurrent mode (80%; P < 0.001) and the second mode (82%; P < 0.001). Correspondingly, the AUC is increased from 0.85 to 0.89 and to 0.90, respectively (P < 0.001 for all). The median read time per data is slightly increased in concurrent mode but substantially prolonged in the second mode, from 6 s to 7 s and to 11 s (P < 0.001 for all). In conclusion, PAICS in both concurrent and second modes has the potential to improve sonologists' performance in detecting fetal intracranial malformations from neurosonographic data. PAICS is more efficient when used concurrently for all readers.

Imaging features, clinical characteristics and neonatal outcomes of pregnancy luteoma: A case series and literature review.

INTRODUCTION: This study aimed to investigate the imaging features, clinical characteristics and neonatal outcomes of pregnancy luteoma. MATERIAL AND METHODS: We retrospectively analyzed patients with pregnancy luteoma admitted to the First Affiliated Hospital of Sun Yat-sen University between January 2003 and December 2022. We recorded their imaging features, clinical characteristics and neonatal outcomes. Additionally, we reviewed relevant studies in the field. RESULTS: In total, 127 cases were identified, including eight from our hospital and 119 from the literature. Most patients (93/127, 73.23%) were of reproductive age, 20-40 years old, and 66% were parous. Maternal hirsutism or virilization (such as deepening voice, acne, facial hair growth and clitoromegaly) was observed in 29.92% (38/127), whereas 59.06% of patients (75/127) were asymptomatic. Abdominal pain was reported in 13 patients due to compression, torsion or combined ectopic pregnancy. The pregnancy luteomas, primarily discovered during the third trimester (79/106, 74.53%), varied in size ranging from 10 mm to 20 cm in diameter. Seventy-five cases were incidentally detected during cesarean section or postpartum tubal ligation, and 39 were identified through imaging or physical examination during pregnancy. Approximately 26.61% of patients had bilateral lesions. The majority of pregnancy luteomas were solid and well-defined (94/107, 87.85%), with 43.06% (31/72) displaying multiple solid and well-circumscribed nodules. Elevated serum androgen levels (reaching values between 1.24 and 1529 times greater than normal values for term gestation) were observed in patients with hirsutism or virilization, with a larger lesion diameter (P < 0.001) and a higher prevalence of bilateral lesions (P < 0.001). Among the female infants born to masculinized mothers, 68.18% (15/22) were virilized. Information of imaging features was complete in 22 cases. Ultrasonography revealed well-demarcated hypoechoic solid masses with rich blood supply in 12 of 19 cases (63.16%). Nine patients underwent magnetic resonance imaging (MRI) or computed tomography (CT), and six exhibited solid masses, including three with multi-nodular solid masses. CONCLUSIONS: Pregnancy luteomas mainly manifest as well-defined, hypoechoic and hypervascular solid masses. MRI and CT are superior to ultrasonography in displaying the imaging features of multiple nodules. Maternal masculinization and solid masses with multiple nodules on imaging may help diagnose this rare disease.

Comparison of performance between O-RADS, IOTA simple rules risk assessment and ADNEX model in the discrimination of ovarian Brenner tumors.

PURPOSE: To describe the clinical and sonographic features of ovarian benign Brenner tumor (BBT) and malignant Brenner tumor (MBT), and to compare performance of four diagnostic models in differentiating them. METHODS: Fifteen patients with BBTs and nine patients with MBTs were retrospectively identified in our institution from January 2003 and December 2021. One ultrasound examiner categorized each mass according to ovarian-adnexal reporting and data system (O-RADS), international ovarian tumor analysis (IOTA) Simple Rules Risk (SR-Risk) assessment and assessment of different neoplasias in the adnexa (ADNEX) models with/without CA125. Receiver operating characteristic curves were generated to compare diagnostic performance. RESULTS: Patients with MBT had higher CA125 serum level (62.5% vs. 6.7%, P = 0.009) and larger maximum diameter of lesion (89 mm vs. 43 mm, P = 0.009) than did those with BBT. BBT tended to have higher prevalence of calcifications (100% vs. 55.6%, P = 0.012) and acoustic shadowing (93.3% vs. 33.3%, P = 0.004), and lower color scores manifesting none or minimal flow (100.0% vs. 22.2%, P < 0.001). Areas under curves of O-RADS, IOTA SR-Risk and ADNEX models with/without CA125 were 0.896, 0.913, 0.892 and 0.896, respectively. There were no significant differences between them. CONCLUSION: BBTs are often small solid tumors with sparse color Doppler signals, which contain calcifications with posterior acoustic shadowing. The most common pattern of MBT is a large multilocular-solid or solid mass with irregular tumor borders, and most were moderately or richly vascularized at color Doppler. These four models have excellent performance in distinguishing them.

DeepGA for automatically estimating fetal gestational age through ultrasound imaging.

Accurate estimation of gestational age (GA) is vital for identifying fetal abnormalities. Conventionally, GA is estimated by measuring the morphology of the cranium, abdomen, and femur manually and inputting them into the classic Hadlock formula to assess fetal growth. However, this procedure incurs considerable overhead and suffers from bias caused by the operators, yielding suboptimal estimations. To address this challenge, we develop an automatic DeepGA model to achieve fully automatic GA prediction in an end-to-end manner. Our model uses a deep segmentation model (DeepSeg) to accurately identify and segment three critical tissues, including the cranium, abdomen, and femur, in which their morphology is automatically extracted. After that, we are able to directly estimate the GA via a deep regression model (DeepReg). We evaluate DeepGA on a large dataset, including 10,413 ultrasound images from 7113 subjects. It achieves superior performance over the traditional measurement approach, with a mean absolute estimation error (MAE) of 5 days. Our DeepGA model is a novel automatic solution on the basis of artificial intelligence learning that can help radiologists improve the performance of GA estimation in various clinical scenarios, thereby enhancing the efficiency of prenatal examinations.

Evaluation of the trachea in fetuses with double aortic arch using prenatal ultrasound: a retrospective cohort study.

BACKGROUND: Double aortic arch is the most common form of complete vascular ring. The trachea and/or esophagus could be compressed by the complete vascular ring, which may lead to early respiratory and/or esophageal symptoms in children with double aortic arch. Accurate prenatal assessment of tracheal compression could provide relevant information for perinatal clinical management of double aortic arch and emergency treatment of infants with double aortic arch. The fetal trachea is filled with amniotic fluid and can be clearly visualized with prenatal ultrasound. Previous studies reported the use of prenatal ultrasound to measure the tracheal internal diameters in normal fetuses and showed a linear correlation between the fetal tracheal internal diameters and gestational age. However, to the best of our knowledge, few studies have quantitatively evaluated tracheal compression in fetuses with double aortic arch using ultrasound. OBJECTIVE: This study aimed to evaluate the tracheal compression caused by the vascular ring in fetuses with double aortic arch using prenatal ultrasound and to analyze the relationship between tracheal compression and postnatal clinical symptoms. STUDY DESIGN: The data of fetuses with double aortic arch diagnosed with prenatal ultrasound at 2 institutions from January 2011 to April 2021 were retrospectively analyzed. Singleton pregnancies with normal fetuses as the control group were prospectively recruited. The tracheal compression-evaluated by comparing the tracheal internal diameter z scores against the gestational age-was assessed in fetuses with double aortic arch and in normal fetuses. The live-born infants with double aortic arch were divided into symptomatic and asymptomatic groups for the comparison of z scores. The receiver operating characteristic curve for the tracheal internal diameter z score cutoffs and prediction of symptomatic infants with double aortic arch was plotted. Intraobserver and interobserver agreements were investigated. RESULTS: A total of 26 fetuses with double aortic arch were diagnosed, and 14 fetuses (53.8%) with double aortic arch were delivered alive. Among the 14 live-born infants, 7 (50.0%) were symptomatic, whereas 7 (50.0%) were asymptomatic. The tracheal internal diameter z scores were significantly lower in the double aortic arch group than in the normal groups (-0.62±1.36 vs 0.00±0.78; P<.001). The tracheal internal diameter z scores were significantly lower in the symptomatic group than in the asymptomatic group (-1.42±0.92 vs -0.49±0.96; P=.018). The area under the curve was 0.878 (95% confidence interval, 0.689-1.000). Using a tracheal internal diameter z scores cutoff of -1.21, the sensitivity was 71%, and the specificity was close to 100%. The intraclass correlation coefficients of interobserver and intraobserver agreements were 0.987 (95% confidence interval, 0.980-0.992) and 0.975 (95% confidence interval, 0.955-0.987), respectively. CONCLUSION: The clinical symptoms in infants with double aortic arch were associated with prenatal tracheal compression, which can be prenatally evaluated using ultrasound. If fetuses are diagnosed with double aortic arch, prenatal surveillance of the tracheal internal diameters and comparison with z score reference ranges could provide pertinent information that would aid perinatal clinical management.

Frontal lobe development in fetuses with growth restriction by using ultrasound: a case-control study.

BACKGROUND: Fetal growth restriction (FGR) occurs in up to 10% of pregnancies and is a leading cause of perinatal mortality and neonatal morbidity. Three-dimensional ultrasonography of intracranial structure volume revealed significant differences between fetuses with FGR and appropriate for gestational age (AGA) fetuses. We aimed to compare the frontal lobe development between fetuses with FGR and appropriately grown fetuses and evaluate the impact of fetal circulatory redistribution (FCR) on frontal lobe development in fetuses with FGR. METHODS: We performed a case-control study at our institution from August 2020 to April 2021. The frontal antero-posterior diameter (FAPD) and occipito-frontal diameter (OFD) were measured on the trans-ventricle view and we calculated the Z-scores for FAPD and OFD standardized for gestational age (GA) and transverse cerebellar diameter (TCD) by performing a standard regression analysis followed by weighted regression of absolute residual values in appropriately grown fetuses. We calculated the FAPD/OFD ratio as 100 × FAPD/OFD and FAPD/HC (head circumference) as 100 × FAPD/HC. To compare intracranial parameters, we randomly selected a control group of appropriately grown fetuses matched with the FGR group at the time of ultrasonography. We performed between-group comparisons of the FAPD Z-score, OFD Z-score, FAPD/OFD ratio and FAPD/HC. Similarly, we compared intracranial parameters between fetuses with FGR with and without FCR. RESULTS: FAPD/OFD ratio was curvilinear related to all the independent variables (GA, BPD, FL, and TCD). Compared with appropriately grown fetuses, fetuses with FGR showed a significantly lower FAPD/OFD ratio, FAPD Z-score, and FAPD/HC. There was no significant difference in the FAPD Z-score, FAPD/OFD ratio, and FAPD/HC between FGR fetuses with and without FCR. CONCLUSIONS: The FAPD/OFD ratio varied during pregnancy, with a mild reduction before and a mild increase after about 33 gestational weeks. Fetuses with FGR showed reduced frontal lobe growth; moreover, fetal frontal lobe development disorders were not significantly different in fetuses with FCR. TRIAL REGISTRATION: Date: 09-27-2017; Number: [2017]239.

Measurement of the Cobb angle by 3D ultrasound: a valuable additional method for the prenatal evaluation of congenital scoliosis.

Background: This study aimed to measure the Cobb angle of the fetal spine using three-dimensional ultrasound (3D-US) and to assess the relationship between the Cobb angle and the prognosis of congenital scoliosis. Methods: From March 2015 to June 2019, 77 pregnant women whose fetuses had suspected spinal skeletal dysplasia consented to undergo 3D-US examinations, and 54 fetuses were selected for the analysis group. The study protocol was approved by the review board of the Institutional Ethics Committee for Fetal Medicine. 3D-US was used to show the structure of the fetal spine in 3 planes, and the Cobb angle was measured on the coronal plane. The diagnostic efficacy of 3D-US was compared to that of X-ray for 33 fetuses. Results: In the diagnosis of congenital scoliosis, the sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of 3D-US were 91.7%, 90.0%, 90.7%, 88.0%, and 93.1%, respectively. The area under the receiver operating characteristic (ROC) curve with 3D-US was 0.908. The Spearman correlation coefficient between the Cobb angle measurement on an X-ray image and on the coronal plane image acquired by 3D-US was 0.84, which showed a significant correlation (P<0.05). Conclusions: 3D-US was successful in the diagnosis of congenital scoliosis. It is feasible to measure the Cobb angle on the coronal plane of the fetal spine by using 3D-US. The Cobb angle has the potential to become an auxiliary index for evaluating the prognosis of congenital scoliosis.

Comparisons of foramen ovale flap in the fetuses with true and false positive diagnosis of coarctation of the aorta.

Background: Accurate diagnosis of coaractation of aorta (CoA) remains challenging because of its relatively low sensitivity and specificity. It is difficult to distinguish true CoA from a normal physiological right-sided dominance or ventricular discrepancy caused by intracardiac minor anomalies. Redundant foramen ovale flap (RFOF) may cause ventricular disproportion. Methods: All fetuses suspected with CoA on routine screening ultrasound were retrospectively reviewed and allotted into two groups: postnatally confirmed CoA (true positive group) and prenatally suspected CoA but without CoA postnatally (false positive group). Sixty-nine normal fetuses were included as a normal group (normal group). The diameters of FOF and left atrium (LA) were measured in the four-chamber view and FOF/LA ratio ≥0.65 was considered as RFOF. Cardiac parameters between groups were compared. Results: Fifty-seven fetuses undergoing echocardiography for suspicion of CoA were enrolled; 11 (19.2%) had CoA postnatally. A significant linear relationship was identified between ventricular discrepancy degree and FOF prominence (P<0.001, R=0.48). A significant linear relationship was also identified between the RFOF and disproportion of the great arteries (P<0.001, R=0.42). FOF prominence significantly differed between groups true positive and false positive (P<0.001). RFOF occurred significantly differently in the true positive and false positive groups (56.5% vs. 0.91%, P=0.002). Cardiac parameters, including the aortic valve (AO) z-score (P=0.785), aortic isthmus (AOi) z-score (P=0.944), pulmonary artery (PA) z-score (P=0.693), PA/AO ratios (P=0.055), left ventricle (LV) z-score (P=0.192) and right ventricle (RV)/LV ratios (P=0.225), were comparable between fetuses with and without CoA after birth except RV z-score (P=0.035). Conclusions: There is no statistical difference of cardiac parameters between fetuses with and without CoA after birth except RV diameter. The proportion of fetuses with RFOF is significantly greater in patients without CoA. Fetal echocardiography including bulging of the FOF in the LA should be investigated for suspected CoA to decrease false positive diagnosis of CoA.

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.

BACKGROUND: Ultrasound is a critical non-invasive test for preoperative diagnosis of ovarian cancer. Deep learning is making advances in image-recognition tasks; therefore, we aimed to develop a deep convolutional neural network (DCNN) model that automates evaluation of ultrasound images and to facilitate a more accurate diagnosis of ovarian cancer than existing methods. METHODS: In this retrospective, multicentre, diagnostic study, we collected pelvic ultrasound images from ten hospitals across China between September 2003, and May 2019. We included consecutive adult patients (aged ≥18 years) with adnexal lesions in ultrasonography and healthy controls and excluded duplicated cases and patients without adnexa or pathological diagnosis. For DCNN model development, patients were assigned to the training dataset (34 488 images of 3755 patients with ovarian cancer, 541 442 images of 101 777 controls). For model validation, patients were assigned to the internal validation dataset (3031 images of 266 patients with ovarian cancer, 5385 images of 602 with benign adnexal lesions), external validation datasets 1 (486 images of 67 with ovarian cancer, 933 images of 268 with benign adnexal lesions), and 2 (1253 images of 166 with ovarian cancer, 5257 images of 723 benign adnexal lesions). Using these datasets, we assessed the diagnostic value of DCNN, compared DCNN with 35 radiologists, and explored whether DCNN could augment the diagnostic accuracy of six radiologists. Pathological diagnosis was the reference standard. FINDINGS: For DCNN to detect ovarian cancer, AUC was 0·911 (95% CI 0·886-0·936) in the internal dataset, 0·870 (95% CI 0·822-0·918) in external validation dataset 1, and 0·831 (95% CI 0·793-0·869) in external validation dataset 2. The DCNN model was more accurate than radiologists at detecting ovarian cancer in the internal dataset (88·8% vs 85·7%) and external validation dataset 1 (86·9% vs 81·1%). Accuracy and sensitivity of diagnosis increased more after DCNN-assisted diagnosis than assessment by radiologists alone (87·6% [85·0-90·2] vs 78·3% [72·1-84·5], p<0·0001; 82·7% [78·5-86·9] vs 70·4% [59·1-81·7], p<0·0001). The average accuracy of DCNN-assisted evaluations for six radiologists reached 0·876 and were significantly augmented when they were DCNN-assisted (p<0·05). INTERPRETATION: The performance of DCNN-enabled ultrasound exceeded the average diagnostic level of radiologists matched the level of expert ultrasound image readers, and augmented radiologists' accuracy. However, these observations warrant further investigations in prospective studies or randomised clinical trials. FUNDING: National Key Basic Research Program of China, National Sci-Tech Support Projects, and National Natural Science Foundation of China.

Enlarged cavum septi pellucidi Z-scores in fetuses with trisomy 18.

OBJECTIVE: We aim to establish a formula calculating the fetal cavum septi pellucidi (CSP) width Z-scores and compare CSP width between the normal fetus and 18-trisomy fetus. METHODS: In this retrospective study, 608 normal fetuses and 71 fetuses with the 18-trisomy syndrome were included. Z-scores were calculated after the acquisition of CSP images. Normal CSP width Z-scores formulae were constructed based on gestational age (GA) by performing a standard regression analysis followed by weighted regression of absolute residual values. Subsequently, the Mann-Whitney U test was used to compare the CSP width Z-scores between normal and 18-trisomy groups. RESULTS: Formulae calculating CSP width Z-scores were constructed. Normal fetal CSP width was significantly correlated with GA (R2 = 0.50, p < .01). In 18-trisomy group, 69% (34/49) fetuses displayed enlarged fetal CSP width and CSP width Z-scores (p < .01). CONCLUSIONS: The CSP width Z-scores formulae established in the current study can provide a quantitative basis for the prenatal diagnosis of 18-trisomy syndrome. Enlarged CSP width Z-score may serve as a novel prenatal diagnostic marker for the 18-trisomy syndrome.

Postnatal outcomes of fetuses with isolated gallbladder anomalies: be aware of biliary atresia.

OBJECTIVES: To analyze the normal development of fetal gallbladder (GB) and evaluate the postnatal outcomes of fetuses with isolated GB anomalies without other structural abnormalities by ultrasound. METHODS: This was a retrospective study. We collected normal cases during 2016 between 15 and 40 gestational weeks and measured the length and width of GB to establish a normal reference range of GB. Using the 10th and 90th percentiles of the normal reference range, isolated cases of enlarged or small GB without other structural anomalies were selected between January 2017 and December 2019. Simultaneously, cases of echogenic material in the GB were included. Fetuses with non-visualization of the fetal gallbladder (NVFGB) were collected between January 2010 and December 2019. Postnatal outcomes of these cases were followed up and analyzed. RESULTS: There were 670 cases in the normal group and a linear correlation was found between the dimensions of GB and the gestational age, including the length (r = 0.69; p < .05; y = 0.97 + 0.70 × gestational age) and width (r = 0.48; p < .05; y = 1.65 + 0.12 × gestational age). Sixty-two cases with isolated GB anomalies were collected, including nine cases of enlarged GB, four cases of small GB, three cases of echogenic material in the GB, and 46 cases of NVFGB. Sixty fetuses (96.8%, 60/62) had good outcomes, except that two neonates (4%, 2/50) in small GB and NVFGB groups were both born with BA. In the NVFGB group, 97.8% (45/46) were with good outcomes, in which gallbladders were finally visualized in 37 (80.4%, 37/46) cases and GB agenesis was postnatally diagnosed in eight (17.4%, 8/46) patients by ultrasound. CONCLUSION: The postnatal outcomes of most fetuses (96.8%) with isolated GB anomalies such as enlarged GB, echogenic material in the GB were favorable. When it comes to cases of small GB or NVFGB in prenatal ultrasound diagnosis, we should alert biliary atresia in prenatal counseling.

Dimensions of the optic chiasm: quantitative ultrasound comparison between fetuses with anophthalmia/microphthalmia and normal fetuses.

BACKGROUND: The precise pathogenesis of anophthalmia/microphthalmia remains unknown. Prenatal observation of the optic chiasm in fetuses with this malformation would assist in understanding the embryonic development of the condition. The present study aimed to establish the normal fetal size ranges of decussation of the optic chiasm, optic nerves, and optic tracts in the axial plane using two-dimensional transabdominal ultrasound throughout gestation and to compare these ranges to the corresponding values in fetuses with anophthalmia/microphthalmia. METHODS: In total, 310 normal fetuses and 16 fetuses with anophthalmia/microphthalmia were included in this study. The widths of the decussation of the optic chiasm, optic nerves, and optic tracts of normal fetuses at 19-40 weeks' gestation were measured in the axial plane by two-dimensional transabdominal ultrasound. The same widths were retrospectively measured in the axial plane using three-dimensional ultrasound in fetuses with anophthalmia/microphthalmia and compared to the results from the normal fetuses. RESULTS: The decussation, optic nerves, and optic tracts of 310 normal fetuses were measured. The normal widths of the decussation of the optic chiasm, optic nerves, and optic tracts increased linearly with gestational age. The interobserver and intraobserver reproducibility was excellent for the decussation but relatively low for the optic nerves and optic tracts. The optic nerve width of fetuses with anophthalmia/microphthalmia was significantly smaller than that of normal fetuses (P<0.001), but the widths of the decussation (P=0.061) and optic tracts (P=0.053) were not significantly different between the two groups. CONCLUSIONS: The normal ranges of the decussation of the optic chiasm, optic nerves, and optic tracts established in this study can provide a quantitative basis for prenatal evaluation of the optic pathway. Fetal anophthalmia/microphthalmia may be associated with optic nerve hypoplasia.

The Added Value of Whole-Exome Sequencing for Anomalous Fetuses With Detailed Prenatal Ultrasound and Postnatal Phenotype.

OBJECTIVES: The objective of the study was to explore the added value of whole-exome sequencing (WES) in abnormal fetuses with detailed prenatal ultrasound and postnatal phenotype with normal karyotype and chromosomal microarray analysis (CMA). METHODS: Parents of fetuses with structural abnormalities by prenatal ultrasound who consented to provide fetal samples were prospectively recruited from January 2017 to December 2019. With aneuploidies or cases with copy number variations (CNVs) excluded, WES was performed for cases with normal karyotype and CMA results. Detailed prenatal ultrasound and postnatal imaging or pathology features were recommended for further interpretation of genetic variants. RESULTS: WES was performed for 94 eligible fetuses, DNA samples of which were extracted from 53 parent-fetus trios and 41 proband-only fetal tissues. A diagnostic genetic variant was identified in 37 (39.4%) of 94 fetuses, and 34 (64.2%) were detected in 53 trios, which was significantly greater than 3 (7.3%) in 41 proband-only cases (p < 0.001). In 34 trios with diagnostic genetic variants, 23 (67.6%) were de novo and 11 (32.4%) were inherited with two homozygous and nine heterozygous variants. Fourteen (14.9%) of 94 fetuses had a variant of uncertain significance (VUS). Among 94 cases, six affected pregnancies continued and 88 terminated, and 57 of 88 terminated cases underwent postmortem examinations. With accurate phenotypes demonstrated by prenatal ultrasound and postnatal autopsies, the clinical phenotypes were correlated in 33 (89.2%) of 37 cases with specific genotypes, with the highest matching ratio in skeletal diseases (20/33, 60.6%). CONCLUSION: WES has added value in the genetic diagnosis of abnormal fetuses with normal karyotypes and CMA, particularly in skeletal diseases. Using WES in various anomalous fetuses can broaden the understanding of prenatal phenotypes and genetic variants.

Ultrasound in the prediction of birthweight discordance in dichorionic twins.

INTRODUCTION: Large birthweight discrepancy has been identified as a risk factor for perinatal morbidity and mortality in twin pregnancies. However, it remains unclear whether such discordance can be predicted by various biological indices with specific cut-off values, and how these depend on the gestational age. We aimed to determine the most effective way to predict large birthweight discordance at various gestational ages. MATERIAL AND METHODS: A retrospective cohort study of dichorionic twins, live-born between 2008 and 2018, was conducted. Discordances in biparietal diameter, head circumference, humerus and femur length, abdominal circumference, and estimated fetal weight were calculated-([larger twin - smaller twin] / larger twin) × 100%-and compared between those with and without a large birthweight discordance (≥20%). Receiver operating characteristic curves were constructed to analyze the predictive characteristics of each parameter. RESULTS: Of 598 dichorionic twin pregnancies included, 83 (13.9%) had a birthweight discordance ≥20%. Group differences in biparietal diameter and head circumference discordance were the earliest to emerge (before 20 weeks of gestation), but became insignificant after 36 weeks, followed by humerus and femur length, estimated fetal weight discordance (after 20 weeks), and abdominal circumference discordance (after 28 weeks). The best predictors (with cut-off values) were discordance in biparietal diameter ≥7.8% at <20 weeks, head circumference ≥4.5% at 20-23+6  weeks, humerus length ≥4.5% at 24-27+6  weeks, and estimated fetal weight discordance (≥11.6% at 28-31+6  weeks, ≥10.5% at 32-35+6  weeks, and ≥15.0% ≥36 weeks), with sensitivity and specificity of 52%-77% and 69%-82%, respectively. CONCLUSIONS: Different predictors and cut-off values may be useful for predicting large inter-twin birthweight discordance in dichorionic twins at different gestational ages. It is more accurate to use biparietal diameter and head circumference discordance in the early second trimester, humerus length discordance in the late second trimester, and estimated fetal weight discordance in the third trimester.

Automatic Measurements of Fetal Lateral Ventricles in 2D Ultrasound Images Using Deep Learning.

Measurement of the width of fetal lateral ventricles (LVs) in prenatal ultrasound (US) images is essential for antenatal neuronographic assessment. However, the manual measurement of LV width is highly subjective and relies on the clinical experience of scanners. To deal with this challenge, we propose a computer-aided detection framework for automatic measurement of fetal LVs in two-dimensional US images. First, we train a deep convolutional network on 2,400 images of LVs to perform pixel-wise segmentation. Then, the number of pixels per centimeter (PPC), a vital parameter for quantifying the caliper in US images, is obtained via morphological operations guided by prior knowledge. The estimated PPC, upon conversion to a physical length, is used to determine the diameter of the LV by employing the minimum enclosing rectangle method. Extensive experiments on a self-collected dataset demonstrate that the proposed method achieves superior performance over manual measurement, with a mean absolute measurement error of 1.8 mm. The proposed method is fully automatic and is shown to be capable of reducing measurement bias caused by improper US scanning.

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.

PURPOSE: Fetal brain abnormalities are some of the most common congenital malformations that may associated with syndromic and chromosomal malformations, and could lead to neurodevelopmental delay and mental retardation. Early prenatal detection of brain abnormalities is essential for informing clinical management pathways and consulting for parents. The purpose of this research is to develop computer-aided diagnosis algorithms for five common fetal brain abnormalities, which may provide assistance to doctors for brain abnormalities detection in antenatal neurosonographic assessment. METHODS: We applied a classifier to classify images of fetal brain standard planes (transventricular and transcerebellar) as normal or abnormal. The classifier was trained by image-level labeled images. In the first step, craniocerebral regions were segmented from the ultrasound images. Then, these segmentations were classified into four categories. Last, the lesions in the abnormal images were localized by class activation mapping. RESULTS: We evaluated our algorithms on real-world clinical datasets of fetal brain ultrasound images. We observed that the proposed method achieved a Dice score of 0.942 on craniocerebral region segmentation, an average F1-score of 0.96 on classification and an average mean IOU of 0.497 on lesion localization. CONCLUSION: We present computer-aided diagnosis algorithms for fetal brain ultrasound images based on deep convolutional neural networks. Our algorithms could be potentially applied in diagnosis assistance and are expected to help junior doctors in making clinical decision and reducing false negatives of fetal brain abnormalities.