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Enregistrement W4392470695 · doi:10.1093/jsxmed/qdae002.105

(115) Utility of Thermography as a Screening Tool for Erectile Disorder

2024· article· en· W4392470695 sur OpenAlexaff
Tuuli M. Kukkonen, N Hafez, Natalie Stratton, Irv Binik, Serge Carrier

Notice bibliographique

RevueThe Journal of Sexual Medicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueSexual function and dysfunction studies
Établissements canadiensMcGill UniversityDalhousie UniversityConcordia UniversityUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésPsychogenic diseaseMedicineErectile dysfunctionThermographyGold standard (test)UltrasoundPenisDoppler ultrasoundUrologyInternal medicineSurgeryRadiology

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Ultrasonography remains the gold standard for the evaluation of penile vasculature in men with erectile disorder. Despite its value, ultrasound assessment can be costly for patients, and requires an intracavernosal injection prior to imaging. With estimates of psychogenic ED being up to 40% or more in clinical populations, a less invasive method of quantifying penile vascular response would be beneficial in directing patients for further assessment and treatment. One such method that has potential is thermography as it requires no genital contact, can indirectly measure blood flow through temperature change, and has been validated in self-reported clinical non-clinical populations for the measurement of sexual response. Objective To determine whether thermography could be used to differentiate psychogenic from organic erectile disorder by comparing thermography to penile doppler ultrasound in men being assessed for erectile disorder. Methods 81 patients (m age = 43 years) recruited through a hospital Urology clinic completed penile vascular assessment across two different sessions: 1) thermographic measurement during a 15-minute baseline neutral and 15-minute sexually explicit film; 2) standard penile ultrasound assessment with an ICI of Prostaglandin E1. Demographic and sexual functioning questionnaires were completed, and urologist diagnosis following ultrasound assessment was used to classify patients as having psychogenic or organic ED. Results 45 patients had PSV values consistent with organic ED, while 36 patients were classified into the psychogenic ED group. Men with organic ED were significantly older than those in the psychogenic ED group (p < .05), and more likely to have concurrent health conditions (p < .05). A Repeated Measures ANOVA on temperature change measured through thermal imaging demonstrated that men with psychogenic ED had significantly greater penile temperature (m = 32.45°C, SD = 1.34) during sexual arousal than those with organic ED (m = 31.73°C, SD = 1.34; p <. 05), and also had a significantly (p < .01) stronger correlation between their self-reported and physical sexual response during thermographic assessment (psychogenic ED mean r =.49; organic ED mean r = .27). Furthermore, a hierarchical cluster analysis of thermography measures grouped patients into three distinct categories (high, medium and low temperature change), with significantly more of the psychogenic ED group being classified into the highest temperature cluster (82%). The medium and low temperature clusters were less sensitive at differentiating organic and psychogenic ED. Conclusions Thermography could provide a less costly and less invasive way to screen out patients presenting with ED who have a high degree of temperature change during sexual response. While thermography has been shown to differentiate between self-reported and clinical populations, this is the first evaluation of this instrument as a tool to differentiate within ED diagnostic groups. Although men with psychogenic ED were more likely to be classified in the highest temperature change cluster, thermography was less sensitive at differentiating organic and psychogenic ED in the middle and lower temperature groupings. Further research with larger samples would be beneficial in exploring potential clinical cutoffs for penile temperature change. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Dare Biosciences, Initiator Pharma.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,526
Score d'incertitude au seuil0,903

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,061
Tête enseignante GPT0,348
Écart entre enseignants0,287 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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