Clinical study on improving the function of female bladder in controlling urine by acupuncture Zhibian (BL54) under ultrasound guidance.

OBJECTIVE: To observe the effect of acupuncture Zhibian (BL54) on the function of the bladder in controlling urine in women under ultrasound. METHOD: 74 healthy subjects were randomly divided into deep acupuncture group of 37 cases and shallow acupuncture group of 37 cases. Under the guidance of ultrasound, the two groups of subjects were acupunctured at bilateral BL54. The deep acupuncture group was acupunctured to the pudendal nerve, and the shallow acupuncture group was acupunctured to the superficial fascia. Ultrasound was used to observe the peak systolic velocity (PSV), time average maximum velocity (TAMX), end diastolic velocity (EDV), pulsation index (PI), resistance index (RI) of the pudendal arteries, and bladder volume of two groups of subjects before and after acupuncture. The anatomical hierarchical structure of bilateral BL54 and score of Chinese version of the Massachusetts General Hospital Acupuncture Sensation Scale (C-MASS) of all subjects was measured. RESULT: After acupuncture, the PSV, TMAX of the pudendal artery, bladder volume, and the Score of C-MASS Scale in the deep acupuncture group were higher than in the shallow acupuncture group (P < 0.05). The RI of the pudendal arteries in the shallow acupuncture group decreased compared to before acupuncture (P < 0.05). CONCLUSION: Acupuncture at the BL54 can increase the blood flow velocity of the pudendal artery, improve the function of the bladder in controlling urine in women, and different depths of acupuncture will have different therapeutic effects.

Bladder height to width ratio as a surrogate marker for non-physiological storage pressures in children with spinal dysraphism.

INTRODUCTION: Spinal dysraphism is the most frequent cause of neurogenic bladder. Urodynamic study (UDS) is an important component of the follow-up of a child with neurogenic bladder. However, it suffers from a lack of widespread availability and is further hampered by technical difficulties and difficulty in its interpretation in children. A neurogenic bladder often appears vertically elongated; only limited and sparse literature is available regarding objectively defining the bladder shape and the urodynamic parameters in the cohort. OBJECTIVES: This study aimed to investigate the usefulness of the bladder's height-to-width ratio (HWR) on cystogram as a screening tool for identifying "non-physiological" bladder pressures in children with spinal dysraphism. A prospective study was undertaken to evaluate children operated for spinal dysraphism. Cystogram, ultrasonography and UDS evaluation were performed. HWR was calculated by the ratio of the maximum height to the maximum bladder width at maximum cystometric capacity (MCC), where MCC was calculated using standard Koff's formula, given by (age in years + 2) *30 ml in children more than one year and weight *7 ml for infants. The children were categorised into groups based on maximum detrusor pressure (MDP) into two groups (MDP ≥ 30 cmH2O and MDP < 30 cmH2O). A receiver-operative characteristic curve was constructed to analyse the sensitivity and specificity of HWR in predicting the MDP. RESULTS: A total of 53 children, operated for spinal dysraphism, met the study criteria during the study period, from March 2021 to September 2022. The median age of children was 4 years (IQR-3-5.5 years). The HWR ratio was compared between the two groups and was significantly higher for the non-physiological pressure bladders than for physiological pressure bladders (mean of 1.55 vs 1.26, p = 0.001). On evaluating the sensitivity and specificity of HWR for discerning children with non-physiological bladder pressures were 87.5% and 48.28%, respectively. The area under the curve (AUC) was 0.781, with a cut-off value of 1.3. DISCUSSION: We attempted to evaluate the HWR based on bladder shape objectively. We demonstrated a moderate correlation between the bladder shape and the bladder pressures. An HWR of 1.3 or higher could be significant for identifying a non-physiological bladder storage pressure. CONCLUSION: The height to width ratio of the bladder on cystogram is a useful tool as a surrogate marker for non-physiological storage pressures in bladders of children with spinal dysraphism.

Does volumetric measurement of ADC values achieve higher diagnostic performance in bladder cancer MRI?

BACKGROUND: Apparent diffusion coefficient (ADC) value is an important part of bladder cancer magnetic resonance imaging (MRI) assessment and can predict the aggressive and invasive potentials. There is growing interest in whole tumor volume measurements. PURPOSE: To investigate if the volumetric ADC measurement method will significantly exceed the diagnostic performance of the selected region of interest (ROI) method in everyday practice. MATERIAL AND METHODS: A prospective evaluation was carried out of 50 patients with bladder cancer by two radiologists. The mean and the minimum ADC values were measured using both methods. The inter-reader agreement was determined by the intraclass correlation coefficient. The ADC values were compared between different grades, states of muscle invasion, and lympho-vascular invasion (LVI); then, validity was evaluated using receiver operating characteristic (ROC) curves. Areas under the curve (AUC) were then compared for the level of statistical significance. RESULTS: The inter-observer agreement was excellent for the ADC values using both methods. The volumetric measurement provides higher mean and lower minimum ADC values with statistically significant differences (P <0.00001). The highest diagnostic accuracy for differentiating tumor grade and predicting muscle invasion was for the minimum ADC by a selected ROI. However, the differences between the achieved AUCs were of no statistical significance. None of the ADC values predicted LVI with statistical significance. CONCLUSION: The selected ROI and volumetric measurement methods of mean and minimum ADC in bladder cancer yield different values, still having comparable diagnostic performance with accurate ROI sampling. The minimum ADC value by ROI is preferred in everyday clinical practice.

Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks.

Osteoporosis is a common condition that can lead to fractures, mobility issues, and death. Although dual-energy X-ray absorptiometry (DXA) is the gold standard for osteoporosis, it is expensive and not widely available. In contrast, kidney-ureter-bladder (KUB) radiographs are inexpensive and frequently ordered in clinical practice. Thus, it is a potential screening tool for osteoporosis. In this study, we explored the possibility of predicting the bone mineral density (BMD) and classifying high-risk patient groups using KUB radiographs. We proposed DeepDXA-KUB, a deep learning model that predicts the BMD values of the left hip and lumbar vertebrae from an input KUB image. The datasets were obtained from Taiwanese medical centers between 2006 and 2019, using 8913 pairs of KUB radiographs and DXA examinations performed within 6 months. The images were randomly divided into training and validation sets in a 4:1 ratio. To evaluate the model's performance, we computed a confusion matrix and evaluated the sensitivity, specificity, accuracy, precision, positive predictive value, negative predictive value, F1 score, and area under the receiver operating curve (AUROC). Moderate correlations were observed between the predicted and DXA-measured BMD values, with a correlation coefficient of 0.858 for the lumbar vertebrae and 0.87 for the left hip. The model demonstrated an osteoporosis detection accuracy, sensitivity, and specificity of 84.7 %, 81.6 %, and 86.6 % for the lumbar vertebrae and 84.2 %, 91.2 %, and 81 % for the left hip, respectively. The AUROC was 0.939 for the lumbar vertebrae and 0.947 for the left hip, indicating a satisfactory performance in osteoporosis screening. The present study is the first to develop a deep learning model based on KUB radiographs to predict lumbar spine and femoral BMD. Our model demonstrated a promising correlation between the predicted and DXA-measured BMD in both the lumbar vertebrae and hip, showing great potential for the opportunistic screening of osteoporosis.

Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS.

PURPOSE: To investigate the influence of deep learning reconstruction (DLR) on bladder MRI, specifically examination time, image quality, and diagnostic performance of vesical imaging reporting and data system (VI-RADS) within a prospective clinical cohort. METHODS: Seventy participants with bladder cancer who underwent MRI between August 2022 and February 2023 with a protocol containing standard T2-weighted imaging (T2WIS), standard diffusion-weighted imaging (DWIS), fast T2WI with DLR (T2WIDL), and fast DWI with DLR (DWIDL) were enrolled in this prospective study. Imaging quality was evaluated by measuring signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and qualitative image quality scoring. Additionally, the apparent diffusion coefficient (ADC) of bladder lesions derived from DWIS and DWIDL was measured and VI-RADS scoring was performed. Paired t-test or paired Wilcoxon signed-rank test were performed to compare image quality score, SNR, CNR, and ADC between standard sequences and fast sequences with DLR. The diagnostic performance for VI-RADS was assessed using the area under the receiver operating characteristic curve (AUC). RESULTS: Compared to T2WIS and DWIS, T2WIDL and DWIDL reduced the acquisition time from 5:57 min to 3:13 min and showed significantly higher SNR, CNR, qualitative image quality score of overall image quality, image sharpness, and lesion conspicuity. There were no significant differences in ADC and AUC of VI-RADS between standard sequences and fast sequences with DLR. CONCLUSIONS: The application of DLR to T2WI and DWI reduced examination time and significantly improved image quality, maintaining ADC and the diagnostic performance of VI-RADS for evaluating muscle invasion in bladder cancer.

Comparison of estimations of urinary bladder volume in different scanning positions using 2D linear dimension formula and 3D bladder circumference tracing in client-owned cats.

Urinary bladder volume (UBV) can be estimated using point-of-care ultrasound. The purpose of this study was to compare 2 UBV estimation methods, i.e., three-dimensional (3D) bladder circumference tracing and 2-dimensional (2D) linear bladder dimension formula, against actual bladder volumes in awake client-owned cats and identify the best scanning position for UBV estimations. Up to 3 paired sets of orthogonal longitudinal and transverse bladder ultrasound images were acquired by a trained clinician from 21 cats positioned in dorsal, right lateral, and left lateral recumbency. UBV estimation was performed with these images by 2 different observers using both methods. Actual bladder volumes were measured through urethral catheterization and compared to the estimated UBV using Lin's concordance correlation coefficient and Bland-Altman analyses. Considering all positions, both methods showed substantial strength-of-agreement with actual bladder volumes; the 3D bladder circumference method (ρc = 0.963, 95% CI: 0.952 to 0.974) with a significant median bias of -4.08 mL (P < 0.001, IQR -7.63 to -0.68 mL, LOA -48.55 to 21.75 mL) and the 2D linear dimension method (ρc = 0.974, 95% CI: 0.966 to 0.982) with a median bias of -0.82 mL (P = 0.686, IQR -3.89 to 4.05 mL, LOA -35.23 to 35.21 mL). Scanning in left lateral recumbency provided the strongest strengths-of-agreement and precision against actual bladder volumes for both methods. Regardless of scanning positions, the 2D linear dimension method is more accurate than the 3D bladder circumference method, although both methods are imprecise with increasing volumes and UBV assessment through urinary catheterization remains the gold standard.

Le volume vésical (UBV) peut être estimé à l'aide de l'échographie au point d'intervention. L'objectif de cette étude fut de comparer 2 méthodes d'estimation du UBV, i.e., le tracé tridimensionnel (3D) de la circonférence de la vessie et la formule de dimension linéaire en 2 dimensions (2D), aux volumes vésicaux réels chez des chats éveillés appartenant à des clients, ainsi que d'identifier la meilleure position de balayage pour l'estimation du UBV. Jusqu'à 3 séries appariées d'images ultrasonores longitudinales et transverses orthogonales ont été acquises par une clinicienne qualifiée sur 21 chats positionnés en décubitus dorsal, latéral droit et latéral gauche. L'estimation du UBV a été réalisée à partir de ces images par 2 observateurs différents utilisant les 2 méthodes. Les volumes vésicaux réels ont été mesurés par cathétérisme urétral et comparés aux UBV estimés à l'aide du coefficient de corrélation de concordance de Lin et d'analyses de Bland-Altman. Toutes positions confondues, les 2 méthodes ont montré une concordance considérable avec les volumes vésicaux réels; la méthode de la circonférence vésicale 3D (ρc = 0,963, 95 % CI : 0,952 à 0,974) avec un biais médian significatif de −4,08 mL (P < 0,001, IQR −7,63 à −0,68 mL, LOA −48,55 à 21,75 mL) et la méthode de la dimension linéaire 2D (ρc = 0,974, 95 % CI : 0,966 à 0,982) avec un biais médian de −0,82 mL (P = 0,686, IQR −3,89 à 4,05 mL, LOA −35,23 à 35,21 mL). Le balayage en décubitus latéral gauche a démontré les meilleures concordance et précision par rapport aux volumes vésicaux réels pour les 2 méthodes. Quelle que soit la position de balayage, la méthode de la dimension linéaire 2D est plus précise que la méthode de circonférence vésicale 3D, bien que les 2 méthodes deviennent imprécises avec des volumes vésicaux plus élevés et que l'évaluation du UBV par cathétérisme urinaire demeure l'étalon d'or.(Traduit par les auteurs).

MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy.

BACKGROUND: The Vesical Imaging-Reporting and Data System (VI-RADS) has demonstrated effectiveness in predicting muscle invasion in bladder cancer before treatment. The urgent need currently is to evaluate the muscle invasion status after neoadjuvant chemotherapy (NAC) for bladder cancer. This study aims to ascertain the accuracy of VI-RADS in detecting muscle invasion post-NAC treatment and assess its diagnostic performance across readers with varying experience levels. METHODS: In this retrospective study, patients with muscle-invasive bladder cancer who underwent magnetic resonance imaging (MRI) after NAC from September 2015 to September 2018 were included. VI-RADS scores were independently assessed by five radiologists, consisting of three experienced in bladder MRI and two inexperienced radiologists. Comparison of VI-RADS scores was made with postoperative histopathological diagnosis. Receiver operating characteristic curve analysis (ROC) was used for evaluating diagnostic performance, calculating sensitivity, specificity, and area under ROC (AUC)). Interobserver agreement was assessed using the weighted kappa statistic. RESULTS: The final analysis included 46 patients (mean age: 61 years ± 9 [standard deviation]; age range: 39-70 years; 42 men). The pooled AUC for predicting muscle invasion was 0.945 (95% confidence interval (CI): 0.893-0.977) for experienced readers, and 0.910 (95% CI: 0.831-0.959) for inexperienced readers, and 0.932 (95% CI: 0.892-0.961) for all readers. At an optimal cut-off value ≥ 4, pooled sensitivity and specificity were 74.1% (range: 66.0-80.9%) and 94.1% (range: 88.6-97.7%) for experienced readers, and 63.9% (range: 59.6-68.1%) and 86.4% (range: 84.1-88.6%) for inexperienced readers. Interobserver agreement ranged from substantial to excellent between all readers (k = 0.79-0.92). CONCLUSIONS: VI-RADS accurately assesses muscle invasion in bladder cancer patients after NAC and exhibits good diagnostic performance across readers with different experience levels.

Point of Care Ultrasound Bladder Volume Calculation on the Acute Medical Unit.

Nursing staff, healthcare assistants (HCAs) and other healthcare professionals on the Acute Medical Unit (AMU) at Royal Berkshire Hospital (RBH) were taught a Point of Care Ultrasound (POCUS) skill during a twenty minute session. Practitioners learned how to take bladder volume measurements with the Butterfly iQ, a portable ultrasound device which provides a visually-aided method of volume measurement. A Likert scale was used to measure the confidence that staff had in performing volume measurements with the AMU automated scanners, and with the semi-automated Butterfly iQ. After the teaching session, confidence reported by practitioners in using the semi-automated visual method was significantly higher than confidence reported in using the automated non-visual scanners (t < 0.001). Minimal time and expense was required to teach practitioners how to perform this skill. Training nurses in POCUS for bladder visualisation and bladder volume calculation is easy and practicable.

Vaginal pessary: a culprit for intraperitoneal bladder perforation.

Vaginal pessaries are widely considered to be a safe and effective non-surgical management option for women with pelvic organ prolapse. Complications may occur, and are more frequent with improper care and certain device designs and materials. It is imperative to provide information to patients about potential complications. We present the case of a woman in her 70s who presented to the Emergency Department with increasing groin and abdominal pain following a vaginal pessary insertion 2 days prior for grade 3 vaginal vault prolapse. On presentation, her abdomen was markedly distended with guarding. Laboratory investigations showed a significant acute kidney injury with a metabolic acidosis. An initial non-contrast CT showed fluid and inflammatory changes surrounding the bladder, and bladder perforation was suspected. A subsequent CT cystogram showed extravasation of contrast from the bladder into the peritoneal cavity, in keeping with an intraperitoneal bladder rupture. The patient underwent an emergency bladder repair in theatre.

Pelvic floor muscle contraction automatic evaluation algorithm for pelvic floor muscle training biofeedback using self-performed ultrasound.

INTRODUCTION: Non-invasive biofeedback of pelvic floor muscle training (PFMT) is required for continuous training in home care. Therefore, we considered self-performed ultrasound (US) in adult women with a handheld US device applied to the bladder. However, US images are difficult to read and require assistance when using US at home. In this study, we aimed to develop an algorithm for the automatic evaluation of pelvic floor muscle (PFM) contraction using self-performed bladder US videos to verify whether it is possible to automatically determine PFM contraction from US videos. METHODS: Women aged ≥ 20 years were recruited from the outpatient Urology and Gynecology departments of a general hospital or through snowball sampling. The researcher supported the participants in their self-performed bladder US and videos were obtained several times during PFMT. The US videos obtained were used to develop an automatic evaluation algorithm. Supervised machine learning was then performed using expert PFM contraction classifications as ground truth data. Time-series features were generated from the x- and y-coordinate values of the bladder area including the bladder base. The final model was evaluated for accuracy, area under the curve (AUC), recall, precision, and F1. The contribution of each feature variable to the classification ability of the model was estimated. RESULTS: The 1144 videos obtained from 56 participants were analyzed. We split the data into training and test sets with 7894 time series features. A light gradient boosting machine model (Light GBM) was selected, and the final model resulted in an accuracy of 0.73, AUC = 0.91, recall = 0.66, precision = 0.73, and F1 = 0.73. Movement of the y-coordinate of the bladder base was shown as the most important. CONCLUSION: This study showed that automated classification of PFM contraction from self-performed US videos is possible with high accuracy.

A Novel Three-Point Localization Method for Bladder Volume Estimation.

The measurement of bladder volume is crucial for the diagnosis and treatment of urinary system diseases. Ultrasound imaging, with its non-invasive, radiation-free, and repeatable scanning capabilities, has become the preferred method for measuring residual urine volume. Nevertheless, it still faces some challenges, including complex imaging methods leading to longer measurement times and lower spatial resolution. Here, we propose a novel three-point localization method that does not require ultrasound imaging to calculate bladder volume. A corresponding triple-element ultrasound probe has been designed based on this method, enabling the ultrasound probe to transmit and receive ultrasound waves in three directions. Furthermore, we utilize the Hilbert Transform algorithm to extract the envelope of the ultrasound signal to enhance the efficiency of bladder volume measurements. The experiment indicates that bladder volume estimation can be completed within 5 s, with a relative error rate of less than 15%. These results demonstrate that this novel three-point localization method offers an effective approach for bladder volume measurement in patients with urological conditions.

A-Mode Ultrasound Bladder Volume Estimation Algorithm Based on Wavelet Energy Ratio Adaptive Denoising.

Assessing bladder function is pivotal in urological health, with bladder volume a critical indicator. Traditional devices, hindered by high costs and cumbersome sizes, are being increasingly supplemented by portable alternatives; however, these alternatives often fall short in measurement accuracy. Addressing this gap, this study introduces a novel A-mode ultrasound-based bladder volume estimation algorithm optimized for portable devices, combining efficient, precise volume estimation with enhanced usability. Through the innovative application of a wavelet energy ratio adaptive denoising method, the algorithm significantly improves the signal-to-noise ratio, preserving critical signal details amidst device and environmental noise. Ultrasonic echoes were employed to acquire positional information on the anterior and posterior walls of the bladder at several points, with an ellipsoid fitted to these points using the least squares method for bladder volume estimation. Ultimately, a simulation experiment was conducted on an underwater porcine bladder. The experimental results indicate that the bladder volume estimation error of the algorithm is approximately 8.3%. This study offers a viable solution to enhance the accuracy and usability of portable devices for urological health monitoring, demonstrating significant potential for clinical application.

Validation of Dynamic 3D MRI for Urodynamics Assessment Using an Anatomically Realistic In Vitro Model of the Bladder.

Lowery urinary tract symptoms (LUTS) affect a large majority of the aging population. 3D Dynamic MRI shows promise as a noninvasive diagnostic tool that can assess bladder anatomy and function (urodynamics) while overcoming challenges associated with current urodynamic assessment methods. However, validation of this technique remains an unmet need. In this study, an anatomically realistic, bladder-mimicking in vitro flow model was created and used to systematically benchmark 3D dynamic MRI performance using a highly controllable syringe pump. Time-resolved volumes of the synthetic bladder model were obtained during simulated filling and voiding events and used to calculate volumetric flowrate. During MRI acquisitions, pressure during each event was recorded and used to create PV loops for work assessment. Error between control and MRI-derived volume for voiding and filling events exhibited 3.36% and 4.66% differences, respectively. A slight increase in average error was observed for MRI-derived flowrate when compared to the control flowrate (4.90% and 7.67% for voiding and filling, respectively). Overall, average error in segmented volumes increased with decreasing volume flowrate. Pressure drops were observed during voiding. Pressure increased during filling. Enhanced validation of novel 3D MRI urodynamics is achieved by using high-resolution PIV for visualizing and quantifying velocity inside the bladder model, which is not currently possible with 3D Dynamic MRI.

Contrast-enhanced CT in the differential diagnosis of bladder cancer and paraganglioma.

PURPOSE: We sought to summarize the value of contrast-enhanced computed tomography (CECT) in the differential diagnosis of bladder paraganglioma (BPG) and bladder cancer. METHODS: The medical records of 19 patients with BPG (13 males, 6 females) and 56 patients with bladder cancer (49 males, 7 females) between November 2007 and June 2023 were retrospectively reviewed. All patients underwent unenhanced and contrast-enhanced CT scanning. RESULTS: Patient age (46.4 ± 11.1 years vs. 58.6 ± 16.0 years), tumor calcification (1/19 vs. 18/56), stalk (0/19 vs. 10/56), internal vessels (15/19 vs. 19/56) and the enlarged adjacent supplying artery (14/19 vs. 10/56) were significantly different between BPG and bladder cancer (P < 0.05). The CT value in the corticomedullary phase (92.4 ± 16.6 HU vs. 64.0 ± 14.5 HU) and the contrast-enhanced value in the corticomedullary phase (54.5 ± 17.4 HU vs. 28.5 ± 12.8 HU) were significantly greater in BPG patients than in bladder cancer patients (P < 0.001), with corresponding area under the curve values of 0.930 and 0.912, respectively. The optimal cutoff values were 83.2 HU and 38.5 HU, respectively. A CT value > 83.2 HU in the corticomedullary phase and a contrast-enhanced CT value > 38.5 HU in the corticomedullary phase were used to indicate BPG with sensitivities of 78.9% and 89.5%, respectively, and specificities of 94.6% and 75.0%, respectively. CONCLUSION: The corticomedullary phase of CECT plays an important role in the preoperative differential diagnosis of BPG and bladder cancer.

Spontaneous rupture of bladder diverticulum with pseudo renal failure:A case report and literature review.

BACKGROUND: Spontaneous or non-traumatic bladder rupture is rare but can be life-threatening. Bladder rupture caused by a diverticulum is extremely rare, with only a few case reports in medical literature. CASE PRESENTATION: We report the case of a 32-year-old woman admitted to hospital complaints of abdominal pain, oliguria and ascites with no history of trauma. Laboratory tests revealed an elevated serum urea nitrogen(UN) level of 33.5 mmol/l and an elevated creatinine levels of 528 umol/l. X-ray cystography confirmed the rupture of a bladder diverticulum. Subsequent transurethral catheterization led to a prompt increase in urinary output, and serum creatinine level returned to 40 umol/l within 48 h. The patient was successfully treated with laparoscopic diverticulectomy. CONCLUSION: Clinicians should maintain a high level of suspicion for urinary bladder rupture in cases presenting with acute lower abdominal pain, urinary difficulties, and oliguria. When acute renal failure, complicated ascites, and an elevated peritoneal fluid creatinine or potassium level exceeding serum levels are observed, intraperitoneal urine leakage should be suspected without delay. This case emphasizes the importance of early diagnosis and intervention in managing this rare but serious condition.

Update on imaging recommendations in paediatric uroradiology: the European Society of Paediatric Radiology workgroup session on voiding cystourethrography.

Voiding cystourethrography (VCUG) is a fluoroscopic technique that allows the assessment of the urinary tract, including the urethra, bladder, and-if vesicoureteral reflux (VUR) is present-the ureters and the pelvicalyceal systems. The technique also allows for the assessment of bladder filling and emptying, providing information on anatomical and functional aspects. VCUG is, together with contrast-enhanced voiding urosonography (VUS), still the gold standard test to diagnose VUR and it is one of the most performed fluoroscopic examinations in pediatric radiology departments. VCUG is also considered a follow-up examination after urinary tract surgery, and one of the most sensitive techniques for studying anatomy of the lower genitourinary tract in suspected anatomical malformations. The international reflux study in 1985 published the first reflux-protocol and graded VUR into five classes; over the following years, other papers have been published on this topic. In 2008, the European Society of Paediatric Radiology (ESPR) Uroradiology Task Force published the first proposed VCUG Guidelines with internal scientific society agreement. The purpose of our work is to create a detailed overview of VCUG indications, procedural recommendations, and to provide a structured final report, with the aim of updating the 2008 VCUG paper proposed by the European Society of Paediatric Radiology (ESPR). We have also compared VCUG with contrast-enhanced VUS as an emergent alternative. As a result of this work, the ESPR Urogenital Task Force strongly recommends the use of contrast-enhanced VUS as a non-radiating imaging technique whenever indicated and possible.

Recurrent bladder leiomyoma: a case report.

BACKGROUND: Bladder leiomyomas are rare benign growths in the bladder, comprising less than 0.5% of bladder tumors with only 250 cases reported globally. They are more common in women. This case involves a 70-year-old woman with recurrent leiomyoma, presenting with lower urinary tract symptoms and painless hematuria. A recurrent bladder leiomyoma is rarely reported, making its presence exceptionally rare. CASE PRESENTATION: A 70-year-old Pakistani woman with hypertension and diabetes presented with lower urinary tract symptoms (LUTS) and painless hematuria. She had a history of similar symptoms in 2010, leading to a diagnosis of bladder leiomyoma via cystoscopy and biopsy. Imaging studies revealed a substantial 3.7 × 4 × 4.0 cm isodense mass with calcifications at the bladder base, along with bladder wall thickening and diverticula. Pathological examination during Transurethral Resection of Bladder Tumor (TURBT) confirmed the presence of bladder tissue with smooth muscle, ruling out malignancy. Immunohistochemical studies supported the diagnosis. A successful TURBT was performed, and the patient recovered well. DISCUSSION: Recurrent bladder leiomyoma is a rarely-discussed topic in medical literature. This article primarily aims to review existing studies and present a detailed case study, shedding light on this rare phenomenon.

Novel clinical diagnostic criteria based on noninvasive examination findings to predict the presence of urodynamic detrusor underactivity in men.

AIMS: To investigate the usefulness of novel clinical diagnostic criteria based on noninvasive examination findings to diagnose urodynamic detrusor underactivity (DU) in men. METHODS: We developed clinical diagnostic criteria to predict the presence of urodynamic DU in men as follows: (a) bladder voiding efficiency <70% on uroflowmetry, (b) existence of "sawtooth and interrupted waveforms" on uroflowmetry, and (c) ultrasonography-documented intravesical prostatic protrusion <10 mm. We analyzed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of these clinical criteria for diagnosing urodynamic DU in men aged 50 years or above with lower urinary tract symptoms who underwent urodynamic studies. RESULTS: Of the 314 men analyzed (mean age, 72.4 years; mean detrusor contraction index [DCI], 98.8; and mean bladder outlet obstruction index [BOOI], 43.9), 89 men met this clinical DU diagnostic criteria. Of these, 79 men (88.8%) had urodynamic DU (DCI < 100 and BOOI < 40), nine (10.1%) had DU + BOO (DCI < 100 and BOOI ≥ 40), and one (1.1%) had normal voiding functions. None of the men with urodynamic BOO (DCI ≥ 100 and BOOI ≥ 40) met the clinical DU diagnostic criteria. The sensitivity, specificity, PPV, and NPV of these clinical diagnostic criteria for urodynamic DU were 69.3%, 95.0%, 88.8%, and 84.4%, respectively. CONCLUSION: The proposed clinical DU diagnostic criteria showed a high PPV (88.8%) for diagnosing urodynamic DU. None of the patients with BOO met the clinical diagnostic criteria for DU. These clinical DU diagnostic criteria may be useful in identifying men with urodynamic DU in clinical practice.

Application of clustering strategy for automatic segmentation of tissue regions in mass spectrometry imaging.

RATIONALE: Mass spectrometry imaging (MSI) has been widely used in biomedical research fields. Each pixel in MSI consists of a mass spectrum that reflects the molecule feature of the tissue spot. Because MSI contains high-dimensional datasets, it is highly desired to develop computational methods for data mining and constructing tissue segmentation maps. METHODS: To visualize different tissue regions based on mass spectrum features and improve the efficiency in processing enormous data, we proposed a computational strategy that consists of four procedures including preprocessing, data reduction, clustering, and quantitative validation. RESULTS: In this study, we examined the combination of t-distributed stochastic neighbor embedding (t-SNE) and hierarchical clustering (HC) for MSI data analysis. Using publicly available MSI datasets, one dataset of mouse urinary bladder, and one dataset of human colorectal cancer, we demonstrated that the generated tissue segmentation maps from this combination were superior to other data reduction and clustering algorithms. Using the staining image as a reference, we assessed the performance of clustering algorithms with external and internal clustering validation measures, including purity, adjusted Rand index (ARI), Davies-Bouldin index (DBI), and spatial aggregation index (SAI). The result indicated that SAI delivered excellent performance for automatic segmentation of tissue regions in MSI. CONCLUSIONS: We used a clustering algorithm to construct tissue automatic segmentation in MSI datasets. The performance was evaluated by comparing it with the stained image and calculating clustering validation indexes. The results indicated that SAI is important for automatic tissue segmentation in MSI, different from traditional clustering validation measures. Compared to the reports that used internal clustering validation measures such as DBI, our method offers more effective evaluation of clustering results for MSI segmentation. We envision that the proposed automatic image segmentation strategy can facilitate deep learning in molecular feature extraction and biomarker discovery for the biomedical applications of MSI.

Mullerianosis of the urinary bladder: a case report.

Mullerianosis is a rare, complex, benign tumor most commonly found in the bladder and often mistaken for a neoplastic lesion.  Herein, we report a case of mullerianosis in a 65-year-old woman who presented with an incidental 2 cm bladder mass found on cross-sectional imaging.  A mixed cystic and solid tumor was identified on cystoscopy and a transurethral resection of the suspected tumor was performed with histopathology confirming a final diagnosis of mullerianosis.  While an unusual diagnosis, mullerianosis of the urinary bladder needs to be correctly identified to provide appropriate treatment and avoid misdiagnosis.