Surgical management of a rare giant sacral meningocele in a child.

INTRODUCTION: Anterior sacral meningocele is a rare congenital disorder, occurring isolated or in syndromic disease. CASE REPORT: A 15-year-old patient who complained of abdominal pain and urinary dysfunction was managed surgically. Imaging diagnosed a giant presacral meningocele and agenesis of the coccyx. DISCUSSION: The presentation of sacral meningocele can be poorly symptomatic, which is why some patients are diagnosed late. Sometimes, diagnosis is suggested by non-specific abdominal symptoms or complications. Abdominal-pelvic radiological examination and lumbar spine MRI are essential, and treatment must be surgical. There are several surgical approaches, but currently no consensus. CONCLUSION: An unusual huge presacral cystic mass in a young patient may be isolated or part of a syndrome, and can be asymptomatic for a long time, leading to late diagnosis. The surgical approach should be based on multidisciplinary discussion. We operated on a giant anterior sacral meningocele in a child using a posterior approach, with a satisfactory result.

Comparison of diagnostic performance of a deep learning algorithm, emergency physicians, junior radiologists and senior radiologists in the detection of appendicular fractures in children.

BACKGROUND: Advances have been made in the use of artificial intelligence (AI) in the field of diagnostic imaging, particularly in the detection of fractures on conventional radiographs. Studies looking at the detection of fractures in the pediatric population are few. The anatomical variations and evolution according to the child's age require specific studies of this population. Failure to diagnose fractures early in children may lead to serious consequences for growth. OBJECTIVE: To evaluate the performance of an AI algorithm based on deep neural networks toward detecting traumatic appendicular fractures in a pediatric population. To compare sensitivity, specificity, positive predictive value and negative predictive value of different readers and the AI algorithm. MATERIALS AND METHODS: This retrospective study conducted on 878 patients younger than 18 years of age evaluated conventional radiographs obtained after recent non-life-threatening trauma. All radiographs of the shoulder, arm, elbow, forearm, wrist, hand, leg, knee, ankle and foot were evaluated. The diagnostic performance of a consensus of radiology experts in pediatric imaging (reference standard) was compared with those of pediatric radiologists, emergency physicians, senior residents and junior residents. The predictions made by the AI algorithm and the annotations made by the different physicians were compared. RESULTS: The algorithm predicted 174 fractures out of 182, corresponding to a sensitivity of 95.6%, a specificity of 91.64% and a negative predictive value of 98.76%. The AI predictions were close to that of pediatric radiologists (sensitivity 98.35%) and that of senior residents (95.05%) and were above those of emergency physicians (81.87%) and junior residents (90.1%). The algorithm identified 3 (1.6%) fractures not initially seen by pediatric radiologists. CONCLUSION: This study suggests that deep learning algorithms can be useful in improving the detection of fractures in children.

Cyst-like lesions following fracture in a child - sonographic appearances.

Cyst-like lesions are a rare radiologic presentation following fractures in children. We report the case of a 3-year-old boy having three cyst-like lesions after a buckle fracture of his left radius that was diagnosed with digital radiography and CT scan. We also describe the lesions' ultrasonographic appearance, which has not been addressed in other studies. The keys to diagnosis depend on the clinical context and the radiologic appearance. The cyst-like lesions occur several weeks after a non-displaced fracture in an asymptomatic child. The radiologic appearance shows small, well-defined lucent lesions located near the fracture site, in the subperiosteal space and bone callus. Ultrasonography can be useful to confirm the subperiosteal location and to exclude adjacent soft-tissue abnormalities. In cases requiring further clarity, MRI can be performed to identify the fatty content and exclude osteomyelitis.

Imaging findings in Essure-related complications: a pictorial review.

Tubal sterilization with Essure inserts has become a prevalent alternative to laparoscopic sterilization because of its minimal invasiveness. It is a well-tolerated ambulatory procedure that provides reliable permanent contraception without the risks associated with laparoscopic surgery and general anesthesia. Correct positioning of the Essure device is necessary to achieve the fibrotic reaction induced by the polyethylene terephthalate fibers, subsequently resulting in tubal occlusion usually within 3 months. After uneventful procedures with satisfactory bilateral placement, only the correct position of the devices needs to be confirmed at follow-up. The imaging techniques used to asses Essure devices may vary depending on the country and its recommendations. The gold-standard test to ascertain tubal occlusion remains the hysterosalpingography but after uneventful procedures, vaginal-ultrasound proved to be a reliable alternative to confirm the proper position of the inserts. Radiologists have been increasingly confronted to post-procedural evaluations and despite the efficiency rate of the Essure device, its use still exposes to a low risk of complications and malfunctions such as unwanted pregnancies, device misplacement, tubal or uterine perforation, and chronic pelvic pain. Unintended pregnancies are mostly due to patient or physician non-compliance and misinterpretation of post-procedural examinations by radiologists which emphasizes the importance of their training in Essure device assessment. This pictorial review discusses the imaging methods used to asses Essure implants and illustrates the possible complications related to them.

A case of prenatally diagnosed limited dorsal myeloschisis with good prognosis.

Diagnosis of fetal spinal dysraphism is a challenge. It is difficult to distinguish between a meningocele, myelomeningocele, and a recently described entity called limited dorsal myeloschisis (LDM). Although myelomeningocele is associated with a poor prognosis, LDM can have a good outcome. We present a case of prenatally diagnosed LDM. Because sonographic examination revealed a round, cystic, septated cervical mass without associated cerebral anomalies, the lesion was initially considered an isolated meningocele. Fetal MRI contributed to correct the diagnosis. A diagnostic error can lead to the wrong surgical support or even the termination of pregnancy. Therefore, we highlight the importance of fetal MRI in such cases, particularly when no cerebral abnormalities are observed on sonographic examination.

Diagnosis of pediatric gastric, small-bowel and colonic volvulus.

Digestive volvulus affects the stomach, small bowel and mobile segments of the colon and often has a developmental cause. Reference radiologic examinations include upper gastrointestinal contrast series for gastric volvulus, possibly with ultrasonography for small-bowel volvulus, and contrast enema for colonic volvulus. Treatment is usually surgical. This pictorial essay describes the embryological development and discusses the clinical and radiologic presentation of volvulus, depending on location, and details the appropriate radiologic examinations.

Pai syndrome: challenging prenatal diagnosis and management.

Pai syndrome is a rare disorder that includes midline cleft lip, pericallosal lipoma and cutaneous polyp of the face. We report a case of prenatal diagnosis using sonography and MRI. We emphasize the importance of facial examination with prenatal association of midline cleft lip and pericallosal lipoma in making the diagnosis of Pai syndrome.