Standardization of Vascular Assessment of Erectile Dysfunction
Bibliographic record
Abstract
INTRODUCTION: In-office evaluation of erectile dysfunction by color duplex Doppler ultrasound (CDDU) may benefit the decision-making process in regard to choosing the most appropriate therapy. Unfortunately, there is no uniform standardization in performing CDDU resulting in high variability in data expression and interpretation when comparing results among various centers, especially when conducting multicenter trials. Establishing standard operating procedures (SOPs) is a major step that will help minimize such variability. AIM: This SOP describes CDDU procedure with focus on establishing uniformity and normative parameters. MAIN OUTCOME MEASURE: Measure intra-arterial diameter, peak systolic velocity, end-diastolic velocity, and resistive index for each cavernosal artery. METHODS: After initial discussion with the patient about his history and International Index of Erectile Function evaluation describe procedural steps to the patient. Perform the CDDU in a relaxed state, scanning the entire penis (in B-mode image) using a 7.5- to 12-MHz linear array ultrasound probe. An intracorporal injection of a single or combination of vasoactive agents (e.g., prostaglandin E1, phentolamine, and papaverine) is then administered and CDDU performed at various time points, preferably with audiovisual sexual stimulation (AVSS). RESULTS: Monitor penile erection response (tumescence and rigidity) near peak blood flow. Self-stimulation or AVSS leaving the patient alone in room or redosing may be considered to decrease any anxiety and help achieve a maximum rigid erection. CONCLUSION: Considering the complexity and heterogeneity of CDDU evaluation, this communication will help in standardization and establish uniformity in such data interpretation. When indicated, invasive diagnostic testing involving (i) penile angiography and (ii) cavernosography/cavernosometry to establish veno-occlusive dysfunction may be recommended to facilitate further treatment options.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".