Clinical Research on a Novel Deep-learning Based System in Pancreatic Mass Diagnosis
Clinical Research on a Noval Deep-learning Based System in Benign and Malignant Pancreatic Masses Diagnosing Under Harmonic Contrast-enhanced Endoscopic Ultrasound
Studieoversigt
Status
Status
Betingelser
Betingelser
Intervention / Behandling
Intervention / Behandling
Detaljeret beskrivelse
Undersøgelsestype
Undersøgelsestype
Tilmelding (Forventet)
Tilmelding
Fase
Fase
- Ikke anvendelig
Kontakter og lokationer
Studiekontakt
Studiekontakt
- Navn: Wang Xiao, MD
- Telefonnummer: +8613974889301
- E-mail: wxy20011@163.com
Studiesteder
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Hunan
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Changsha, Hunan, Kina, 410013
- Rekruttering
- The Third XIANGYA Hospital of Central South University
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Kontakt:
- Wang Xiaoyan, MD
- Telefonnummer: +8613974889301
- E-mail: wxy20011@163.com
-
-
Deltagelseskriterier
Berettigelseskriterier
Berettigelseskriterier
Aldre berettiget til at studere
Tager imod sunde frivillige
Køn, der er berettiget til at studere
Beskrivelse
Inclusion Criteria:
- 1. Age ≥18 years old, <90 years old 2.The patient is confirmed to be a solid pancreatic mass in imaging examinations (MRI, CT or ultrasound), and CH-EUS is required for auxiliary diagnosis 3. Agree to participate in this study and sign the CH-EUS informed consent form
Exclusion Criteria:
- Subjects who meet any of the following criteria cannot be selected for this trial:
First. The patient's physical condition does not meet the requirements of conventional ultrasound endoscopic puncture:
- Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc.
- Blood coagulation dysfunction (platelet count <50×1012, international standardized ratio> 1.5) or taking oral anticoagulants such as aspirin or warfarin within a week
- Anesthesia assessment failed
- Had acute pancreatitis within 2 weeks
- Pregnancy or breastfeeding
- Known history of allergy to sulfur hexafluoride or other components
- Recent acute coronary syndrome or clinically unstable ischemic heart attack
- Heart disease patients with right-to-left shunt, patients with severe pulmonary hypertension (pulmonary artery pressure> 90mmHg), patients with uncontrolled systemic hypertension and patients with adult respiratory distress syndrome.
Second. Disagree to participate in this study
Third. There are other problems that do not meet the requirements of this research or that affect the results of the research:
- Pancreatic disease has undergone surgery or chemotherapy beforehand
- The patient was diagnosed with pancreatic cystic disease or duodenal stenosis
- Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up
Studieplan
Hvordan er undersøgelsen tilrettelagt?
Design detaljer
- Primært formål: Diagnostisk
- Tildeling: Randomiseret
- Interventionel model: Crossover opgave
- Maskning: Dobbelt
Antal våben
Våben og indgreb
Deltagergruppe / ArmDeltagergruppe / Arm |
Intervention / BehandlingIntervention / Behandling |
|---|---|
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Eksperimentel: the artificial-EUS-FNA group
the first two passes were made without the AI-assisted diagnosis system guidance during EUS-FNA, and then two passes were made under guidance from the AI-assisted diagnosis system
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The ultrasound endoscopists manually determined the region of interest (ROI) according to CH-EUS, and punctured 2 needles in the tumor area with a 22G needle, and each needle moved 15-20 times back and forth in the lesion.
After puncture, insert the needle core, rinse the needle with 0.1ml sterile saline, and further apply air flushing to ensure that each tissue is sent to the slide.
In the AI-assisted diagnosis system, the assisted targeting EUS-FNA unit is applied, and the ultrasound endoscopist selects the region of interest (ROI) according to the thermogram to perform targeted EUS-FNA puncture(2 needles in the same way).
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Eksperimentel: the AI-EUS-FNA group
the first two passes were made with the AI-assisted diagnosis system guidance and then another two manual passes without the AI-assisted diagnosis system guidance.
|
The ultrasound endoscopists manually determined the region of interest (ROI) according to CH-EUS, and punctured 2 needles in the tumor area with a 22G needle, and each needle moved 15-20 times back and forth in the lesion.
After puncture, insert the needle core, rinse the needle with 0.1ml sterile saline, and further apply air flushing to ensure that each tissue is sent to the slide.
In the AI-assisted diagnosis system, the assisted targeting EUS-FNA unit is applied, and the ultrasound endoscopist selects the region of interest (ROI) according to the thermogram to perform targeted EUS-FNA puncture(2 needles in the same way).
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Hvad måler undersøgelsen?
Primære resultatmål
Primære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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accuracy
Tidsramme: 1 year
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compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
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1 year
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sensitivity
Tidsramme: 1 year
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compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
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1 year
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specificity
Tidsramme: 1 year
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compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
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1 year
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positive predictive value
Tidsramme: 1 year
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compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
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1 year
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negative predictive value
Tidsramme: 1 year
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compare the diagnostic rates of AI-CH-EUS and artificial-CH-EUS for benign and malignant pancreatic masses
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1 year
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the diagnosis rate of first needle aspiration
Tidsramme: 1 year
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compared the diagnosis rate of AI-EUS-FNA and artificial-EUS-FNA first needle aspiration for benign and malignant pancreatic masses
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1 year
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Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Foranstaltningsbeskrivelse |
Tidsramme |
|---|---|---|
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core tissue length
Tidsramme: 1 year
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To evaluate the specimen quality through core tissue length of AI-EUS-FNA and artificial-EUS-FNA
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1 year
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Samarbejdspartnere og efterforskere
Sponsor
Sponsor
Efterforskere
Efterforskere
- Ledende efterforsker: Li Tian, MD, The Third XIANGYA Hospital of Central South University
- Ledende efterforsker: Anliu Tang, MD, The Third XIANGYA Hospital of Central South University
Datoer for undersøgelser
Studer store datoer
Studiestart (Faktiske)
Studiestart
Primær færdiggørelse (Forventet)
Primær færdiggørelse
Studieafslutning (Forventet)
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
Andre undersøgelses-id-numre
Andre undersøgelses-id-numre
- 2020-CH-EUS-AI
Plan for individuelle deltagerdata (IPD)
Planlægger du at dele individuelle deltagerdata (IPD)?
Lægemiddel- og udstyrsoplysninger, undersøgelsesdokumenter
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