MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.

BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation free but previously has not been able to produce diagnostic-quality images of bone on a timeline suitable for clinical use. We developed automated motion correction and use deep learning to generate pseudo-CT images from MR images. We aim to evaluate whether motion-corrected pseudo-CT produces cranial images that have potential to be acceptable for clinical use. MATERIALS AND METHODS: Patients younger than age 18 who underwent CT imaging of the head for either trauma or evaluation of cranial suture patency were recruited. Subjects underwent a 5-minute golden-angle stack-of-stars radial volumetric interpolated breath-hold MR image. Motion correction was applied to the MR imaging followed by a deep learning-based method to generate pseudo-CT images. CT and pseudo-CT images were evaluated and, based on indication for imaging, either presence of skull fracture or cranial suture patency was first recorded while viewing the MR imaging-based pseudo-CT and then recorded while viewing the clinical CT. RESULTS: A total of 12 patients underwent CT and MR imaging to evaluate suture patency, and 60 patients underwent CT and MR imaging for evaluation of head trauma. For cranial suture patency, pseudo-CT had 100% specificity and 100% sensitivity for the identification of suture closure. For identification of skull fractures, pseudo-CT had 100% specificity and 90% sensitivity. CONCLUSIONS: Our early results show that automated motion-corrected and deep learning-generated pseudo-CT images of the pediatric skull have potential for clinical use and offer a high level of diagnostic accuracy when compared with standard CT scans.

School-age anthropometric and patient-reported outcomes after open or endoscopic repair of sagittal craniosynostosis.

OBJECTIVE: Several studies have compared perioperative parameters and early postoperative morphology between endoscope-assisted strip craniectomy with orthotic therapy (endoscopic repair) and cranial vault remodeling (open repair). To extend these results, the authors evaluated school-age anthropometric outcomes after these techniques across three institutions. METHODS: School-aged children (age range 4-18 years) with previously corrected isolated sagittal craniosynostosis were enrolled. Upon inclusion, 3D photographs and patient-reported outcomes were obtained, and the cephalic index and head circumference z-scores were calculated. Analyses of covariance models controlling for baseline differences and a priori covariates were performed. RESULTS: Eighty-one participants (median [range] age 7 [4-15] years) were included. The mean (95% CI) school-age cephalic index was significantly higher in the endoscopic cohort, though within the normal range for both groups (endoscopic 78% [77%-79%] vs open 76% [74%-77%], p = 0.027). The mean change in the cephalic index from preoperation to school age was significantly greater in the endoscopic group (9% [7%-11%] vs open 3% [1%-5%], p < 0.001). Compared to preoperative measurements, mean school-age head circumference z-scores decreased significantly more in the open cohort (-1.6 [-2.2 to -1.0] vs endoscopic -0.3 [-0.8 to -0.2], p = 0.002). Patient-reported levels of stigma were within the normal limits for both groups. CONCLUSIONS: Endoscopic and open repair techniques effectively normalize school-age anthropometric outcomes. However, endoscopic repair produces a clinically meaningful and significantly greater improvement in the school-age cephalic index, with maintenance of head growth. These findings demonstrate the importance of early referral by pediatricians and inform treatment decisions.

The stigma of digital amputation: a survey of amputees with analysis of risk factors.

The purpose of this study was to quantify the stigma associated with digital amputation and examine factors associated with it. One hundred and sixty-four digital amputees completed the Neurological Quality of Life-Stigma questionnaire and a battery of Patient-Reported Outcome Measurement Information System instruments. Multivariable analysis examined factors associated with stigma experience. The mean observed stigma score of 47 (SD 8, range 36-64) was similar to the mean value of the normal population. Younger age, a worker's compensation claim and depression were each independently associated with a more severe experience of stigma after digital amputation. Socioeconomic variables, anatomical details and mechanism of injury were not independently associated with stigma. Digital amputation is not highly stigmatizing overall. Surgeons should consider referring at-risk patients to a mental health provider for support during the coping and adjustment process after amputation.Level of evidence: III.