AI-Guided TURBT for Bladder Cancer (AITURBT)
Evaluation of the Efficacy and Safety of an AI Navigation Planning System in Transurethral Resection of Bladder Tumor: A Prospective, Randomized, Controlled, Single-Center Study
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Undersøgelsestype
Undersøgelsestype
Tilmelding (Anslået)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiekontakt
Studiekontakt
- Navn: Lingzhi Du, MD
- Telefonnummer: +86-19839759960
- E-mail: 20301050222@fudan.edu.cn
Undersøgelse Kontakt Backup
- Navn: Jiajun Wang, MD
- Telefonnummer: +86-15201926887
- E-mail: wang.hang@zs-hospital.sh.cn
Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
- Voksen
- Ældre voksen
Tager imod sunde frivillige
Beskrivelse
Inclusion Criteria:
- Age between 18 and 75 years, male or female.
- Clinical or imaging diagnosis of non-muscle invasive bladder cancer (NMIBC) according to international diagnostic standards (CT, MRI, ultrasound, cystoscopy).
- Medically fit for TURBT surgery, with normal or essentially normal renal, cardiopulmonary, and hepatic function.
- Willing and able to provide written informed consent (signed by the patient or a legally authorized representative).
Exclusion Criteria:
- Pregnant or lactating women.
- Severe dysfunction of other vital organs (heart, lungs, kidneys, etc.).
- Imaging evidence of distant metastases.
- Severe infection or active inflammation.
- Psychiatric disorders or inability to comply with study procedures.
- Any other condition deemed by the investigator as inappropriate for participation.
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Behandling
- Tildeling: Randomiseret
- Interventionel model: Parallel tildeling
- Maskning: Dobbelt
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
|---|---|
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Ingen indgriben: control
Participants in the control group undergo conventional Transurethral Resection of Bladder Tumor (TURBT) following standard clinical guidelines.
The surgeon determines tumor margins and resection range based solely on white-light cystoscopy findings and personal clinical experience, without the use of the AI navigation planning system.
All perioperative management, including anesthesia, postoperative care, and follow-up protocols, is identical to that of the experimental group.
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Eksperimentel: AI-navigation
Participants in the experimental group undergo standard TURBT with the assistance of the AI navigation planning system.
During surgery, the real-time cystoscopic video is processed by the system, which automatically identifies suspicious tumor regions and dynamically displays recommended resection margins as visual overlays on the surgical monitor.
The surgeon integrates this AI-generated information with clinical judgment to determine the final resection plan, with the ultimate decision-making authority remaining with the surgeon at all times.
All perioperative management, including anesthesia, postoperative care, and follow-up protocols, is identical to that of the control group.
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The AI Navigation Planning System is a software-based medical device that processes real-time video from a standard cystoscope during TURBT.
It uses deep learning algorithms to automatically identify suspicious tumor regions and perform semantic segmentation of tumor boundaries on the endoscopic video stream.
The system overlays the identified tumor areas and dynamically recommended resection margins onto the surgical monitor as visual guidance for the surgeon.
The system achieves a diagnostic accuracy of 97% and an AUC of 0.97 in multi-center validation.
It is designed to assist surgeons in achieving more complete tumor resection by reducing reliance on subjective visual assessment alone.
The system operates locally on a standard workstation without requiring internet connectivity, ensuring data security.
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Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Recurrence-Free Survival (RFS)
Tidsramme: Time Frame: Up to 24 months post-surgery
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Time from surgery to the first occurrence of tumor recurrence confirmed by imaging (CT/MRI/ultrasound) or cystoscopy with pathological biopsy, or death from any cause, whichever occurs first.
Participants without an event at the end of follow-up will be censored at the date of the last known follow-up visit.
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Time Frame: Up to 24 months post-surgery
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Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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Surgical Duration
Tidsramme: Day of surgery (intraoperative)
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Time from cystoscope entry into the bladder to successful placement of the urinary catheter at the end of surgery, recorded in minutes.
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Day of surgery (intraoperative)
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Intraoperative Blood Loss
Tidsramme: Day of surgery (intraoperative
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Total blood loss during surgery, calculated by suction canister fluid minus irrigation fluid plus gauze weighing method, recorded in milliliters (mL).
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Day of surgery (intraoperative
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Perioperative Bleeding Rate
Tidsramme: Up to 14 days post-surgery
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Proportion of participants experiencing bleeding requiring interventional therapy, unplanned reoperation, or blood transfusion within 14 days post-surgery.
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Up to 14 days post-surgery
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Number of Lesions Detected Intraoperatively
Tidsramme: Day of surgery (intraoperative)
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Total number of tumor lesions identified and documented during the surgical procedure.
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Day of surgery (intraoperative)
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Postoperative Residual Lesion Rate
Tidsramme: Up to 3 months post-surgery
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Proportion of participants with residual or newly detected lesions at the first postoperative cystoscopy follow-up visit.
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Up to 3 months post-surgery
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Surgery-Related Complication Rate
Tidsramme: Up to 30 days post-surgery
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Incidence and severity of postoperative complications graded according to the Clavien-Dindo Classification (Grade I to V) within 30 days post-surgery.
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Up to 30 days post-surgery
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Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Efterforskere
Efterforskere
- Studieleder: Jiajun Wang, MD, Fudan University
Datoer for undersøgelser
Studer store datoer
Studiestart (Anslået)
Studiestart
Primær færdiggørelse (Anslået)
Primær færdiggørelse
Studieafslutning (Anslået)
Studieafslutning
Datoer for studieregistrering
Først indsendt
Først indsendt
Først indsendt, der opfyldte QC-kriterier
Først indsendt, der opfyldte QC-kriterier
Først opslået (Faktiske)
Først opslået
Opdateringer af undersøgelsesjournaler
Sidste opdatering sendt (Faktiske)
Sidste opdatering sendt
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier
Sidst verificeret
Sidst verificeret
Mere information
Begreber relateret til denne undersøgelse
Yderligere relevante MeSH-vilkår
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- ZS-AI based navigation
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
IPD-planbeskrivelse
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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