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| Name | Class |
|---|---|
| West China Hospital | OTHER |
| Cancer Institute and Hospital, Chinese Academy of Medical Sciences | OTHER |
| The First Affiliated Hospital of Guangzhou Medical University | OTHER |
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This research project aims to develop a novel blood testing method integrating cutting-edge quantum sensing and artificial intelligence technologies to achieve precise, non-invasive early diagnosis of prostate cancer. The research will employ quantum sensors to perform ultra-high-sensitivity measurements of circulating free DNA (cfDNA) in blood, thereby training a dedicated AI diagnostic model. The ultimate objective is to establish the diagnostic efficacy of this approach through clinical validation, providing clinicians with a novel diagnostic tool capable of significantly reducing unnecessary prostate biopsy procedures.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Retrospective Testing Cohort |
| ||
| Prospective Internal Validation Cohort |
| ||
| Prospective external Validation Cohort |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Quantum Detection | Diagnostic Test | This cohort will utilize archived plasma samples from a historical patient population with confirmed diagnoses (prostate cancer vs. controls). The objective is model development. The intervention involves analyzing these stored samples using the quantum sensing platform to extract multi-modal cfDNA features (e.g., fragmentomics, methylation). This data is then used to train and optimize the initial AI diagnostic algorithm, establishing the core model before prospective validation. |
| Measure | Description | Time Frame |
|---|---|---|
| Area under the receiver operating characteristic curve (AUC-ROC) for the predictive model in the general population for prostate cancer. | Through primary completion which may take 12 months. | |
| Sensitivity of the predictive model in detecting prostate cancer within the general population. | Through primary completion which may take 12 months. | |
| Specificity of the predictive model in detecting prostate cancer within the general population. | Through primary completion which may take 12 months. |
| Measure | Description | Time Frame |
|---|---|---|
| Area under the ROC curve for the predictive model in identifying prostate cancer within the PSA grey zone cohort. | Through primary completion which may take 12 months. | |
| Sensitivity of the predictive model in identifying prostate cancer within the PSA grey zone cohort. |
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Inclusion Criteria:
Male, aged 18-80 years;
PSA > 4 ng/ml;
Patients meeting criteria for prostate biopsy:
Exclusion Criteria:
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Males aged 18-80 years with elevated PSA (>4 ng/ml) and clinical indications for prostate biopsy.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shancheng Ren, MD,PhD | Contact | 86021-81886999 | renshancheng@gmail.com | |
| Duocai Li | Contact |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cancer Hospital, Chinese Academy of Medical Sciences | Beijing | Beijing Municipality | 100021 | China |
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| First Affiliated Hospital of Ningbo University |
| NETWORK |
| Jiangsu Provincial People's Hospital | OTHER |
| The First Affiliated Hospital of Soochow University | OTHER |
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This study will extract and analyze cell-free DNA (cfDNA) from participants' peripheral blood. The study protocol does not plan for the long-term retention of any biospecimens. Upon completion of the cfDNA analysis, all remaining DNA samples will be securely disposed of. Only the de-identified derived data from the analyses will be retained for statistical analysis in this study.
|
| Quantum Detection | Diagnostic Test | This cohort will prospectively enroll new patients with suspected prostate cancer from the same institution as testing cohort. The objective is initial model validation. The intervention entails collecting pre-biopsy blood samples from these participants. The cfDNA from these fresh samples is analyzed using the locked model from the training phase. The model's predictions are then compared against the gold-standard prostate biopsy results to assess initial diagnostic performance. |
|
| Quantum Detection | Diagnostic Test | This cohort will prospectively recruit patients from multiple independent clinical centers. The objective is to test the model's generalizability. The intervention involves standardized blood collection across all external sites, with samples sent to a central lab for blinded cfDNA analysis using the finalized, locked-down model. |
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| Through primary completion which may take 12 months. |
| The specificity of the predictive model in identifying prostate cancer among individuals in the PSA grey zone. | Through primary completion which may take 12 months. |
| The First Aļ¬liated Hospital of Guangzhou Medical University | Guangzhou | Guangdong | 510120 | China |
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| Jiangsu Provincial People's Hospital | Nanjing | Jiangsu | China |
| The First Affiliated Hospital of Soochow University | Suzhou | Jiangsu | China |
|
| Shanghai Changzheng Hospital | Shanghai | Shanghai Municipality | 201209 | China |
| West China Hospital, Sichuan University | Chengdu | Sichuan | 610041 | China |
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| Ningbo No. 1 Hospital | Ningbo | Zhejiang | China |
|
| ID | Term |
|---|---|
| D011470 | Prostatic Hyperplasia |
| D011471 | Prostatic Neoplasms |
| D004194 | Disease |
| ID | Term |
|---|---|
| D011469 | Prostatic Diseases |
| D005832 | Genital Diseases, Male |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D005834 | Genital Neoplasms, Male |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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