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Evaluating Deep Learning Reconstruction Technology to Enhance Scan Time and Image Quality in MUSE-FOCUS-DWI Prostate MRI

Evaluating Deep Learning Reconstruction Technology to Enhance Scan Time and Image Quality in MUSE-FOCUS-DWI Prostate MRI

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500096419
Enrollment
Unknown
Registered
2025-01-23
Start date
2025-02-10
Completion date
Unknown
Last updated
2025-02-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostatic disease

Interventions

Trail group:None

Sponsors

Huai'an First People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 95 Years

Inclusion criteria

Inclusion criteria: 1: Abnormal increase of PSA value by laboratory examination 2: Prostate cancer screening patients 3: Patients with clinical symptoms of prostate disease 4: Examination 6 weeks before without puncture biopsy technique 5: Patients with no contraindications to MRI examination

Exclusion criteria

Exclusion criteria: 1: Other treatments, such as endocrine therapy, chemoradiotherapy, etc., were performed before MRI examination 2: A needle biopsy was performed prior to MRI examination 3: Patients with claustrophobia and very limited mobility 4: The image artifact is heavy and difficult to evaluate 5: Patients who did not see obvious suspicious lesions on DWI images.

Design outcomes

Primary

MeasureTime frame
SCR CNR;

Secondary

MeasureTime frame
ADC value;Image quality evaluation;PI-RADS score;

Countries

China

Contacts

Public ContactLili Guo

No. 1, Huang he West Road, Huai yin District, Huai'an City, Jiangsu Province

guolili163@163.com+86 136 5154 9848

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026