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Heldiasbillede og CT-radiomik baseret dybt læringssystem til forudsigelse af prognose i blærekræft

5. november 2026 opdateret af: Mingzhao Xiao

Bladder cancer (BLCA), with its diverse histopathological features and varying patient outcomes, poses significant challenges in diagnosis and prognosis. Postoperative survival stratification based on radiomics feature and whole slide image feature may be useful for treatment decisions to improve prognosis. In this research, we aim to develop a deep learning-based prognostic-stratification system for automatic prediction of overall and cancer-specific survival in patients with BLCA.This observational study evaluates a deep learning system that combines CT images and digitized pathology slides to predict outcomes in patients with bladder cancer. It includes a retrospective cohort and a prospective cohort of newly enrolled patients. The prospective cohort will assess the system in patients enrolled during (2024-2026), with follow-up for survival and recurrence.

Studieoversigt

Status

Rekruttering

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

Study structure The study includes an initial retrospective phase and a subsequent prospective observational phase involving newly enrolled patients. The two phases are analyzed separately according to the specified analysis plan.

Retrospective phase The retrospective phase included patients from [2012-2024] and was used for model construction. Results from this phase were reported in npj series.

Prospective phase Enrollment of newly recruited patients began on [2024]. The prospective phase follows protocol, with ethics approval from the first affliated hospital of chongqing medical, university. Recruitment is consecutive, as specified in the protocol.

Model evaluation The prospective cohort is used for validation. The model version, preprocessing procedures and prediction thresholds used in this phase. Any model updating using this cohort is documented separately.

Registry update This update distinguishes the retrospective phase from the subsequently enrolled cohort. The prospective phase enrollment dates and the dates of protocol development and ethics approval are reported separately.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

2000

Kontakter og lokationer

Dette afsnit indeholder kontaktoplysninger for dem, der udfører undersøgelsen, og oplysninger om, hvor denne undersøgelse udføres.

Studiekontakt

Undersøgelse Kontakt Backup

Studiesteder

    • Chongqing Municipality
      • Chongqing, Chongqing Municipality, Kina, 400016
        • Rekruttering
        • Department of Urology, The First Affiliated Hospital of Chongqing Medical University
        • Kontakt:
        • Kontakt:

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Barn
  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

Ingen

Køn, der er berettiget til at studere

Alle

Prøveudtagningsmetode

Ikke-sandsynlighedsprøve

Studiebefolkning

We included patients who had surgery only or who had neoadjuvant chemotherapy before surgery. We excluded patients with a postoperative diagnosis of non-urothelial carcinoma.

Beskrivelse

Inclusion Criteria:

  • patients with bladder cancer who had surgery like radical cystectomy or transurethral resection of bladder tumour (TURBT)
  • contrast-CT scan less than two weeks before surgery
  • complete CT image data and clinical data
  • complete whole slide image data

Exclusion Criteria:

  • patients with a postoperative diagnosis of non-urothelial carcinoma
  • poor quality of CT images

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Observationsmodeller: COHORT
  • Tidsperspektiver: OTHER

Kohorter og interventioner

Gruppe / kohorte
Intervention / Behandling
Retrospective cohort

Patients with bladder cancer included in the retrospective phase of the study, using clinical records, CT images, and whole-slide images obtained during [2012-2024]. This cohort was used for model development and/or validation and was reported in our npj publications.

develop and validate a deep learning system for prognostication prediction in bladder cancer based on CT radiomics and whole slide images.

Prospective cohort of newly enrolled patients

Newly enrolled patients with bladder cancer recruited at four centers between 2024 and2026. Eligibility is assessed at enrollment, and participants are followed according to protocol version and date for the study outcomes. This cohort is distinct from the previously reported retrospective cohort.

develop and validate a deep learning system for prognostication prediction in bladder cancer based on CT radiomics and whole slide images.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Overall survival
Tidsramme: up to 10 years

the time from the date of surgery to death from any cause or the date of last contact (censored observation) at the date of data cut-off.

up to 10 years

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Recurrence free survival
Tidsramme: up to 10 years

the time from the date of surgery to the date of first documented disease recurrence. Patients without recurrence at the time of analysis will be censored

up to 10 years
progression-free survival
Tidsramme: up to 10 years

The length of time during and after the treatment of a disease, such as cancer, that a patient lives with the disease but it does not get worse. In a clinical trial, measuring the progression-free survival is one way to see how well a new treatment works. Also called PFS.

up to 10 years

Samarbejdspartnere og efterforskere

Det er her, du vil finde personer og organisationer, der er involveret i denne undersøgelse.

Sponsor

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Faktiske)

1. januar 2024

Primær færdiggørelse (Anslået)

1. december 2027

Studieafslutning (Anslået)

1. december 2027

Datoer for studieregistrering

Først indsendt

25. april 2024

Først indsendt, der opfyldte QC-kriterier

26. april 2024

Først opslået (Faktiske)

29. april 2024

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

9. november 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

5. november 2026

Sidst verificeret

1. november 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • BLCA_CMUFH
  • K2024-187-01 (Anden identifikator: The First Affiliated Hospital of Chongqing Medical University)

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

The datasets analyzed during the current study are not publicly available due to the privacy of patients but are available from the corresponding author on reasonable request.

Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter

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Ingen

Studerer et amerikansk FDA-reguleret enhedsprodukt

Ingen

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