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Klinisk anvendelse af AI-assisteret ultralydsteknologi i den præoperative evaluering af skjoldbruskkirtelkræft

5. august 2026 opdateret af: Bo Wang,MD, Fujian Medical University
Denne undersøgelse har til formål at udforske anvendelsen af ​​AI-assisteret ultralydsteknologi i den præoperative vurdering af skjoldbruskkirtelkræft. Traditionelle ultralydsundersøgelsesdata fra skjoldbruskkirtelkræftpatienter vil blive indsamlet, og AI-systemer vil blive brugt til at detektere og diagnosticere skjoldbruskkirtelknuder og lymfeknuder. I tilfælde, hvor der er uenighed mellem resultaterne af den todimensionelle ultralyd og AI-systemet, vil yderligere bekræftelse blive søgt gennem biopsi. Efterfølgende vil patologiske resultater tjene som "guldstandarden" til sammenligning mellem AI-systemet og traditionelle ultralydsundersøgelsesresultater, der vurderer deres nøjagtighed og pålidelighed. Gennem denne forskningsindsats tilstræbes en mere nøjagtig og pålidelig metode til præoperativ vurdering af kræft i skjoldbruskkirtlen, hvilket understøtter klinisk beslutningstagning og baner vejen for nye anvendelser af AI inden for medicinsk billeddiagnostik.

Studieoversigt

Status

Afsluttet

Betingelser

Intervention / Behandling

Detaljeret beskrivelse

Denne undersøgelse har til formål at undersøge anvendelsen af ​​AI-assisteret ultralydsteknologi i den præoperative vurdering af skjoldbruskkirtelkræft. Traditionelle ultralydsundersøgelsesdata fra patienter med kræft i skjoldbruskkirtlen, herunder todimensionelle ultralydsbilleder, farvedopplerflowbilleder og detaljerede karakteristika af skjoldbruskkirtelknuder og lymfeknuder, såsom antal, størrelse, morfologi, ekkogenicitet, marginer, forkalkninger og billedformat, vil blive indsamlet. Forud for operationen vil der blive foretaget en revurdering ved hjælp af AI-assisteret ultralydsteknologi, og AI-systemets påvisning og diagnostiske resultater af skjoldbruskkirtelknuder og lymfeknuder vil blive registreret. I tilfælde, hvor der er uoverensstemmelse mellem resultaterne af todimensionel ultralyd og AI-systemet, vil der blive udført finnålsaspirationsbiopsi eller intraoperativ biopsi for yderligere bekræftelse af deres natur. Efter operationen vil de patologiske resultater af hver knude tjene som "guldstandarden" for sammenlignende analyse mellem AI-systemet og traditionelle todimensionelle ultralydsundersøgelser. Nøjagtigheden af ​​AI-systemet til at detektere og lokalisere knuder vil blive analyseret, og dets sensitivitet, specificitet og nøjagtighed vil blive beregnet for at evaluere dets diagnostiske effektivitet og pålidelighed i den præoperative vurdering af skjoldbruskkirtelkræft. Gennem denne forskning tilstræbes en mere nøjagtig og pålidelig supplerende diagnostisk metode til præoperativ vurdering af kræft i skjoldbruskkirtlen for at hjælpe den kliniske beslutningstagning. Derudover vil nye veje og retninger for anvendelsen af ​​AI inden for medicinsk billeddiagnose blive udforsket.

Undersøgelsestype

Interventionel

Tilmelding (Faktiske)

515

Fase

  • Ikke anvendelig

Kontakter og lokationer

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

Studiekontakt

Studiesteder

    • Fujian
      • Fuzhou, Fujian, Kina, 350001
        • Fujian Medical University Union Hospital

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

Beskrivelse

Inklusionskriterier:

  • Patienter med præoperativ patologisk bekræftelse af maligne tumorer i skjoldbruskkirtlen under kirurgisk behandling.
  • Patienter med godartede skjoldbruskkirteltumorer, såsom skjoldbruskkirteladenomer, der forårsager kompressionssymptomer, der gennemgår kirurgisk behandling.
  • Patienter med komplette og højkvalitets traditionelle todimensionelle farve ultralydsbilleder.
  • Fuldstændige postoperative patologirapporter.
  • Villighed til at deltage i dette kliniske forsøg og underskrivelse af informeret samtykke.

Ekskluderingskriterier:

  • Patienter med en historie med nakkekirurgi eller strålebehandling.
  • Patienter med en historie med ondartede tumorer i andre dele af kroppen.
  • Patienter med skjoldbruskkirtel dysfunktion.
  • Traditionelle todimensionelle ultralydsbilleder i farve i ufuldstændig eller dårlig kvalitet.
  • Ufuldstændige postoperative patologirapporter.
  • Afvisning af at deltage i dette kliniske forsøg.

Studieplan

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

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

  • Primært formål: Diagnostisk
  • Tildeling: N/A
  • Interventionel model: Enkelt gruppeopgave
  • Maskning: Ingen (Åben etiket)

Våben og indgreb

Deltagergruppe / Arm
Intervention / Behandling
Eksperimentel: AI-Assisted Preoperative Review
Participants undergo standard preoperative thyroid ultrasonography followed by a standardized AI-assisted repeat examination and surgeon-led review incorporating the locked AI system's thyroid-nodule output. The AI system does not assess cervical lymph nodes. All supplementary examinations and final diagnostic and surgical decisions are made by clinicians.
After standard preoperative ultrasonography, the same participant underwent a standardized AI-assisted repeat examination. The locked system identified and classified thyroid nodules and provided malignancy-score information for surgeon-led review. It did not assess cervical lymph nodes and was not retrained or recalibrated during the study. Additional fine-needle aspiration, intraoperative pathologic examination, and surgical management were determined by clinicians using the complete clinical assessment.

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Proportion of Participants Undergoing Supplementary Cytologic or Pathologic Examination
Tidsramme: From completion of the AI-assisted repeat examination through completion of surgery
Number and proportion of enrolled participants who underwent at least one additional cytologic or pathologic examination, such as fine-needle aspiration or intraoperative frozen-section examination, after completion of conventional ultrasonography and AI-assisted review and before completion of surgery. Each participant is counted once regardless of the number of examinations. The decision remained clinician led; cervical lymph-node examinations were outside the AI system's task.
From completion of the AI-assisted repeat examination through completion of surgery
Proportion of Participants With a Change in Planned Surgical Management
Tidsramme: From completion of the AI-assisted review through surgery
Number and proportion of enrolled participants with at least one documented change in the surgeon-led planned surgical approach or extent after conventional ultrasonography, AI-assisted review, and any supplementary pathological examination, when performed. Changes may involve thyroid resection or cervical lymph-node management. Each participant is counted once regardless of the number of changes. The AI system provided thyroid-nodule information only and did not assess cervical lymph nodes.
From completion of the AI-assisted review through surgery

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Distribution of C-TIRADS Categories Among Evaluated Thyroid Nodules
Tidsramme: During standard preoperative ultrasonography, before the AI-assisted repeat examination
Number and percentage of evaluated thyroid nodules in each clinician-assigned C-TIRADS category during conventional ultrasonography. Nodule size, composition, echogenicity, margins, calcifications, and clinician-assessed cervical lymph-node findings were recorded as descriptive covariates and were not treated as separate outcome measures.
During standard preoperative ultrasonography, before the AI-assisted repeat examination
Proportion of Evaluated Thyroid Nodules Classified as AI-Positive
Tidsramme: During the preoperative AI-assisted repeat examination, before surgery
Number and percentage of evaluated thyroid nodules with a locked AI malignancy score >0.5. The AI system evaluated thyroid nodules only and did not assess cervical lymph nodes.
During the preoperative AI-assisted repeat examination, before surgery
Results of Supplementary Cytologic or Pathologic Examinations
Tidsramme: From supplementary sampling to availability of the corresponding result, before or during surgery
Among participants who underwent at least one additional cytologic or pathologic examination, record the cytologic or histopathologic result for each sampled thyroid nodule or cervical lymph node. Results are summarized at the examination level as nonmalignant, indeterminate, malignant, or metastatic, as applicable.
From supplementary sampling to availability of the corresponding result, before or during surgery
Final Histopathological Diagnosis of Resected Thyroid Nodules
Tidsramme: From surgery until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
For each resected thyroid nodule linked unambiguously to the evaluated lesion, record the final diagnosis as benign, malignant, follicular tumor of uncertain malignant potential (FT-UMP), well-differentiated tumor of uncertain malignant potential (WDT-UMP), non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP), or another borderline diagnosis.
From surgery until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Sensitivity of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Using definitive postoperative histopathology as the reference standard, sensitivity is TP/(TP + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage. These lesion-level exclusions do not alter the 515-participant workflow cohort.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level False-Negative Rate of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
For each method, the false-negative rate is FN/(TP + FN), expressed as a percentage, among definitively malignant thyroid nodules. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Positive Predictive Value of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
For each method, positive predictive value is TP/(TP + FP), expressed as a percentage, among thyroid nodules classified as positive. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Youden Index of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
For each method, the Youden index is sensitivity + specificity - 1 using fixed binary thresholds. AI positivity is defined as score >0.5; conventional ultrasound positivity is C-TIRADS category 4a or higher. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Distribution of Cervical Lymph-Node Metastasis Status Among Pathologically Examined Nodes
Tidsramme: From surgery or supplementary sampling until the corresponding pathology result became available; assessed through October 15, 2025, over the approximately 14-month study period.
Among cervical lymph nodes actually removed or sampled and pathologically examined, record the number and percentage with and without metastasis. No pathologic reference diagnosis is assigned to unsampled lymph nodes.
From surgery or supplementary sampling until the corresponding pathology result became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Specificity of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Using definitive postoperative histopathology as the reference standard, specificity is TN/(TN + FP), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Negative Predictive Value of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Using definitive postoperative histopathology as the reference standard, negative predictive value is TN/(TN + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Nodule-Level Accuracy of AI and C-TIRADS
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Using definitive postoperative histopathology as the reference standard, accuracy is (TP + TN)/(TP + TN + FP + FN), expressed as a percentage, for the locked AI classification (positive if score >0.5) and conventional C-TIRADS (positive if category 4a or higher). Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Area Under the ROC Curve for the Continuous AI Malignancy Score
Tidsramme: From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.
Using definitive postoperative histopathology as the reference standard, calculate the area under the receiver operating characteristic curve for the continuous locked AI malignancy score. Include only pathology-matched nodules with an unambiguous lesion-level link and a definitive benign or malignant diagnosis. Exclude FT-UMP, WDT-UMP, NIFTP, other borderline diagnoses, and nodules without unambiguous lesion-level linkage. No AUC is calculated for the single-threshold C-TIRADS classification.
From the preoperative examinations until the final postoperative histopathology report became available; assessed through October 15, 2025, over the approximately 14-month study period.

Samarbejdspartnere og efterforskere

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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. september 2024

Primær færdiggørelse (Faktiske)

28. september 2025

Studieafslutning (Faktiske)

15. oktober 2025

Datoer for studieregistrering

Først indsendt

9. juni 2024

Først indsendt, der opfyldte QC-kriterier

11. juli 2024

Først opslået (Faktiske)

12. juli 2024

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

7. august 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

5. august 2026

Sidst verificeret

1. august 2026

Mere information

Begreber relateret til denne undersøgelse

Andre undersøgelses-id-numre

  • AI-base PCD

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

Individual participant data are not planned for external sharing because the dataset contains detailed clinical records and ultrasound images that may remain re-identifiable, and the available study records do not document participant consent specifically permitting external IPD sharing or institutional authorization for such sharing. Aggregate, non-identifiable results will be reported in publications.

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