跳至主要内容
临床试验/CTRI/2025/06/089329
CTRI/2025/06/089329招募中不适用

Detecting normal benign and malignant colonic tissues by photoacoustic spectroscopy

DBT-BUILDER, Govt. of India1 个研究点 分布在 1 个国家目标入组 44 人开始时间: 2025年7月7日最近更新:

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
44
试验地点
1
主要终点
The newly developed photoacoustic endoscopic probe can classify different

研究概览

简要总结

The development of a photoacoustic probe for detecting colonic mucosal conditions is a significant advancement in the diagnosis and treatment of colorectal cancer. This innovative technology aims to offer a quick and real-time method for identifying cancerous tissues. It addresses the limitations of conventional colonoscopy, which only allows for visual inspection without the ability to distinguish between different mucosal conditions like adenoma and carcinoma. The photoacoustic probe uses the unique optical absorption properties of tissue components such as collagen, NADH, elastin, and FAD, which can serve as biomarkers for cancer diagnosis. By detecting the specific spectral patterns of these biomarkers, the probe can accurately identify and differentiate between normal, adenomatous, and carcinomatous tissues. To improve the diagnostic capabilities of this technology, we will develop a machine-learning model. This model will be trained using spectral data obtained from the photoacoustic probe, enabling it to recognize complex patterns associated with different colonic mucosal conditions. Integrating machine learning will not only enhance the accuracy and reliability of the diagnosis but also aid in the development of a highly sensitive and specific diagnostic tool. This approach has the potential to revolutionize colorectal cancer screening by providing a non-invasive, realtime diagnostic method that can lead to early detection and timely treatment, thus improving patient outcomes and reducing the burden of colorectal cancer. The proposed study has the potential to significantly improve cancer diagnosis and treatment. It involves developing a photoacoustic probe specifically for detecting conditions in the colon’s mucosal lining. This technology can be seamlessly integrated into existing endoscopy and colonoscopy procedures, allowing for real-time, accurate diagnosis of colorectal cancers during routine examinations. This can greatly improve the speed and efficiency of cancer detection compared to traditional methods that rely on biopsy and histopathology, which can be timeconsuming and may delay treatment. The photoacoustic probe provides immediate results, enabling healthcare providers to make informed decisions on the spot. This real-time diagnostic capability can lead to earlier detection of malignant tissues, more precise characterization of mucosal abnormalities, and timely intervention, ultimately enhancing patient outcomes. The clinical translation of this technology represents a significant advancement in colorectal cancer screening and diagnosis, potentially setting a new standard in gastroenterological practice.

研究设计

研究类型
Interventional
分配方式
Na
盲法
None

入排标准

年龄范围
19.00 Year(s) 至 80.00 Year(s)(—)
性别
All

入选标准

  • Adults above the age of 18 years Patients undergoing colonoscopy for any clinical indication Patients undergoing surgical removal of part of the colon for any clinical indication.

排除标准

  • Patients are not able to give consent.
  • Emergency colonoscopy procedures.
  • Hemodynamically unstable patients.
  • Patients with serious comorbid illnesses preventing full colonoscopy from being performed.

结局指标

主要结局

The newly developed photoacoustic endoscopic probe can classify different

时间窗: Three years

tissue pathological conditions in colorectal mucosa by utilizing the distinct optical absorption properties

时间窗: Three years

of biomarkers such as collagen, NADH, elastin, and FAD. These biomarkers allow the probe to

时间窗: Three years

distinguish between normal, adenomatous, and carcinomatous tissues. Integrating machine learning

时间窗: Three years

into the system further enhances diagnostic accuracy by recognizing complex patterns in the spectral

时间窗: Three years

data, offering a non-invasive, real-time tool for early detection and improved treatment of colorectal

时间窗: Three years

cancer.

时间窗: Three years

次要结局

  • This study has the potential for translation into clinical practice.(5 years)

研究者

发起方
DBT-BUILDER, Govt. of India
申办方类型
Government funding agency
责任方
Principal Investigator
主要研究者

Krishna Kishore Mahato

Manipal School of Life Sciences, Manipal Academy of Higher Education

研究点 (1)

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