Anterior fibromuscular stroma-preserved endoscopic enucleation of the prostate: a precision anatomical approach.

BACKGROUND: Benign prostate obstruction (BOO) is becoming increasingly important in this aging society. Some urge/stress urinary incontinence (UUI/SUI) still occurs after endoscopic enucleation of the prostate (EEP). It remains unclear how post-EEP incontinence can be avoided. Currently, early apical release to ameliorate the traction of the external sphincter is the best technique for incontinence prevention. OBJECTIVE: To describe our surgical technique of anterior fibromuscular stroma (AFS)-preserved EEP for BOO. DESIGN, SETTING, AND PARTICIPANTS: The medical records of 60 consecutive patients who underwent AFS-preserved EEP for BOO in our center from September 2019 to December 2019 were retrospectively reviewed. SURGICAL PROCEDURE: AFS-preserved EEP starts at the 12 o'clock position of the urethra, and the junction between the AFS and transitional zone (T-zone) was identified. The AFS and T-zone were separated first to protect the AFS in the initial operative procedure. Then, following the usual enucleation procedure, AFS-preserved EEP could be achieved. MEASUREMENTS: Postoperative prostate-specific antigen (PSA), testosterone, urethral stricture, and voiding status, such as incontinence, uroflow, and postvoiding residual urine were assessed. RESULTS AND LIMITATIONS: The data show that AFS-preserved EEP could achieve similar surgical outcomes as other early apical release approaches. CONCLUSIONS: The preserved AFS provides a nice landmark at the 12 o'clock position during EEP.

An Effective Occipitomental View Enhancement Based on Adaptive Morphological Texture Analysis.

This paper aims to present an algorithm that specifically enhances maxillary sinuses using a novel contrast enhancement technique based on the adaptive morphological texture analysis for occipitomental view radiographs. First, the skull X-ray (SXR) is decomposed into rotational blocks (RBs). Second, each RB is rotated into various directions and processed using morphological kernels to obtain the dark and bright features. Third, a gradient-based block segmentation decomposes the interpolated feature maps into feature blocks (FBs). Finally, the histograms of FBs are equalized and overlaid locally to the input SXR. The performance of the proposed method was evaluated on an independent dataset, which comprises of 145 occipitomental view-based human SXR images. According to the experimental results, the proposed method is able to increase the diagnosis accuracy by 83.45% compared with the computed tomography modality as the gold standard.