A novel mobile acoustic uroflowmetry: Comparison of uroflowmetry and mobile acoustic uroflowmetry
Notice bibliographique
Résumé
HYPOTHESIS / AIMS OF STUDY Uroflowmetry is a screening urodynamic test in urology. Standard conventional uroflowmetry is inconvenient for patients because the measurement environment is unfamiliar and unnatural, demanding a timed voiding for the test. A novel acoustic uroflowmetry is based on sound analysis using a smart phone, and can be used at home without cumbersome settings. The aim of this study is to evaluate the accuracy of this method comparing the new acoustic uroflowmetry to a standard uroflowmetry. STUDY DESIGN, MATERIALS AND METHODS A novel mobile acoustic uroflowmetry is an easy-to-use, non-invasive method to estimate the urine flow simply by recording the sound during voiding with a smart phone. After the approval of institutional review board, patients with voiding complaints were recruited and the voiding sound was recorded during standard uroflowmetry measurements. Male subjects were recorded in standing position and females in sitting position. The urine flow rate is calculated as the voiding sound was recorded and processed. Voided volume can be obtained by integrating the calculated flow rate. Cases with voided volume <20mL or having recording problems were excluded. Pearson’s correlation coefficient (PCC, r) was used to compare the maximal flow rate (Qmax), average flow rate (Qavg), and voided volume estimated by the standard uroflowmetry with those calculated via acoustic uroflowmetry. RESULTS A total of 97 patients including 60 males and 37 females were analyzed. Mean age was 59.8, 59.9 years for men and women respectively. Urination sounds differently by gender, perhaps due to differences in their anatomy of pelvis/lower urinary tract and posture during urination. Therefore, the data was analyzed separately for men and women. Flow patterns recorded by acoustic uroflowmetry and conventional uroflowmetry showed a good visual correlation (Fig 1). For male patients, average Qmax, Qavg and voided volume were 15.4mL/s, 8.4mL/s and 198mL, respectively. An excellent correlation was observed between the two methods for Qmax (r=0.88), Qavg (r=0.91) and voided volume (r=0.95). For female patients, average Qmax, Qavg and voided volume were 18.5mL/s, 9.7mL/s and 204mL, respectively. Qavg (r=0.93) and voided volume (r=0.96) showed excellent correlation, while Qmax showed good correlation (r=0.78) between the two methods in females. Figure 1. Examples of flow pattern recorded by the standard uroflowmetry (line) and acoustic uroflowmetry (dots) using voiding sound record after processing. INTERPRETATION OF RESULTS In 2015, Krhut et al. have reported a sound-based uroflowmetry, named ‘sono-uroflowmetry (SUF)’ [1]. This study was consisting 25 healthy male volunteers and demonstrated strong correlation for the duration (r=0.87). However, moderate correlation was observed in voided volume (r=0.68), and Qavg (r=0.57). For Qmax, poor correlation (r=0.38) was observed. Another study from the same team with 36 healthy female volunteers showed strong correlation for duration (r=0.95) but moderate correlation for voided volume (r=0.68) and poor correlation for the Qmax (r=0.38) [2]. While SUF focused on the basic relationship between sound intensity to instant flow rate in time domain, our prediction method analyzes various sound features and its combination in spectral domain. Additional algorithms were applied to suppress sound artifacts, offset environmental characteristics, and improve its prediction accuracy. Our results showed strong correlation between the result of standard uroflowmetry and estimated parameters by the acoustic sound based uroflowmetry. Qmax, Qavg and voided volume showed a strong correlation both in men and women who are with wide range of severity and various voiding patterns. This easy to use mobile acoustic uroflowmetry can be used to check and monitor the urinary flow rate and volume both in patients and healthy people in daily, natural settings. It can also offer longitudinal trends of key urodynamic parameters in a quantitative manner, so would be helpful for not only patients and caregivers, but also for healthcare providers and payers who need to pre-screen and monitor lower urinary tract symptoms. The smartphone app has a uses an automatic voiding diary for daily usage. Time to void and voided volume can be calculated and filled by predicted urine flow from recording each voiding event, and automatically consolidated for each day. This quantitative and ease-of-use app might improve shortcomings of current voiding diary such as incomplete voiding diaries with missing values and low compliance. Limitations include that males voiding in sitting position are not included for the analysis. The concept and baseline technology can also be applied for pediatric applications, but more investigation and validation will be necessary. CONCLUDING MESSAGE This study shows that an acoustic uroflowmetry is possible with a good correlation with the standard uroflowmetry. Further works on prediction accuracy and error with different toilet settings is needed for broader use.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».