Henneberglundgaard8006

Finally, in phase III, the concept map was used to inform the development of a practice model which is adapted from the extended PLISSIT model. The feedback from participants supported the acceptability and appropriateness of the newly developed practice model to guide the delivery of sexuality care in the local clinical context.

The newly developed practice model could serve as a reference point for other countries with Chinese populations in matters concerning sexuality care.

The newly developed practice model could serve as a reference point for other countries with Chinese populations in matters concerning sexuality care.

The occipital bone is located on the boundary between the membranous and cartilage bones and contains a wide variety of accessory sutures. In this study, we describe the age distribution of pediatric patients who are less than 2years of age with occipital cranial sutures using a three-dimensional computed tomography (3D-CT).

A total of 167 consecutive patients who are less than 2years of age and underwent computed tomography for head trauma were included in this study.

Based on the results of this study, various types of sutures were observed among the pediatric participants. In particular, superior median fissures, mendosal sutures, other interparietal segment's accessory sutures, and interparietal sutures were noted in 21%, 35%, 9%, and 6% of the participants, respectively. Additionally, Wormian bones within the lambdoid suture were noted in 32% of the patients. The median age of children with superior median fissure and mendosal suture was 0month. Meanwhile, superior median fissure was not observed among children older than 5months of age. In this population, 13 patients (8%) were found to have skull fracture.

Knowledge of the normal cranial anatomy and developmental patterns of cranial sutures is crucial in the evaluation of questionable fractures in the occipital region. A combination of 3D-CT and axial bone window imaging is useful in differentiating normal structures from pathological changes in the cranium.

Knowledge of the normal cranial anatomy and developmental patterns of cranial sutures is crucial in the evaluation of questionable fractures in the occipital region. A combination of 3D-CT and axial bone window imaging is useful in differentiating normal structures from pathological changes in the cranium.

Filum terminale lipomas (FTL) represent a sub-type of spinal lipomas, where there is fatty infiltration of the filum. It becomes a surgical entity when it manifests as clinical or radiological tethered cord syndrome. Intraoperative neuromonitoring (IONM) has been suggested as a valuable tool in children for tethered cord surgeries. FTL is distinct and cannot be compared with complex tethered cord syndrome (TCS). Untethering an FTL is a relatively straightforward microsurgical exercise, usually based on anatomical findings. Neurological morbidity in FTL untethering is extremely low. The necessity of IONM in FTL has not been evaluated. The objective of this study was to identify the role of IONM in untethering an FTL METHODS Available electronic data and case files were interrogated to identify children (0-18 years) who underwent an untethering of FTL between 2008 and 2019. We had a shift in our policy and tried to use IONM as often as possible in all tethered cord surgery from 2014. All children were categorponse, the filum was untethered. IONM was not associated with any complication in this study.

FTL untethering is an inherently low-risk microsurgery in experienced hands with rarely reported neurological morbidity. Bleximenib IONM may not be required for all FTL and may be used more judiciously.

FTL untethering is an inherently low-risk microsurgery in experienced hands with rarely reported neurological morbidity. IONM may not be required for all FTL and may be used more judiciously.

• Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis.• There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice.• Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact.

• Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis.• There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice.• Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact.

To simulate clinical deployment, evaluate performance, and establish quality assurance of a deep learning algorithm (U-Net) for detection, localization, and segmentation of clinically significant prostate cancer (sPC), ISUP grade group ≥ 2, using bi-parametric MRI.

In 2017, 284 consecutive men in active surveillance, biopsy-naïve or pre-biopsied, received targeted and extended systematic MRI/transrectal US-fusion biopsy, after examination on a single MRI scanner (3T). A prospective adjustment scheme was evaluated comparing the performance of the Prostate Imaging Reporting and Data System (PI-RADS) and U-Net using sensitivity, specificity, predictive values, and the Dice coefficient.

In the 259 eligible men (median 64 [IQR 61-72]years), PI-RADS had a sensitivity of 98% [106/108]/84% [91/108] with a specificity of 17% [25/151]/58% [88/151], for thresholds at ≥ 3/≥ 4 respectively. U-Net using dynamic threshold adjustment had a sensitivity of 99% [107/108]/83% [90/108] (p> 0.99/> 0.99) with a specifica per-patient and per-lesion basis, while the negative predictive value remained unchanged.

• U-Net maintained similar diagnostic performance compared to radiological assessment of PI-RADS ≥ 4 when applied in a simulated clinical deployment. • Application of our proposed prospective dynamic calibration method successfully adjusted U-Net performance within acceptable limits of the PI-RADS reference over time, while not being limited to PI-RADS as a reference. • Simultaneous detection by U-Net and radiological assessment significantly improved the positive predictive value on a per-patient and per-lesion basis, while the negative predictive value remained unchanged.