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

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

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

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMcGill UniversityDalhousie UniversityConcordia UniversityUniversity of Guelph
Fundersnot available
KeywordsPsychogenic diseaseMedicineErectile dysfunctionThermographyGold standard (test)UltrasoundPenisDoppler ultrasoundUrologyInternal medicineSurgeryRadiology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.348
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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