Laser Technology Could Advance Thyroid Cancer Screening
By MedImaging International staff writers Posted on 28 Mar 2016 |
A new, low-cost device could enable enhanced information and better diagnosis during thyroid nodule screening.
A multidisciplinary team that includes The Institute for Photonic Sciences (ICFO; Barcelona, Spain), Politecnico di Milano (Milan, Italy), the University of Birmingham (United Kingdom), along with five other European institutions, are collaborating on the laser and ultrasound co-analyzer for thyroid nodules (LUCA) project, which combines two photonics systems, near-infrared (NIR) diffuse correlation spectroscopy and time-resolved spectroscopy, along with a ultrasound system and a probe that enables multimodal data acquisition.
The project, launched to enhance screening of thyroid nodules for thyroid cancer, brings together clinical endocrinologists, radiologists, physicists, engineers, and industry players with the intention of developing a low-cost, point-of-care clinical device. According to the project partners, LUCA represents an innovative new tool for cancer diagnosis, screening, and therapy, and as such could have a significant impact not only in the field of thyroid cancer, but also in additional areas of the body accessible to both techniques.
“The device combines ultrasound and near-infrared diffuse optical technologies in a single device and a probe. By combining information about tissue hemodynamics, chemical constitution as well as anatomy, it will overcome the shortcomings of present techniques while screening for malign thyroid nodules,” said Prof. Turgut Durduran, PhD, of the ICFO, scientific coordinator of LUCA. “If successful, this will save millions of euros over the coming decades and improve the lives of millions of Europeans.”
“A new tool made concomitantly with thyroid ultrasound may provide additional information to help us distinguish between benign and malignant nodules,” said Mireia Mora, MD, of the August Pi i Sunyer Biomedical Research Institute (IDIBAPS; Barcelona, Spain), responsible for the clinical application of the tool. “This would allow a reduction in the number of surgeries for these reasons, and would have an important socio-economic impact, diminishing the number of surgeries and the associated comorbidities, as well as improving the quality of life of the patients affected.”
Thyroid nodules are a common pathology, with a prevalence of around 5% in women and 1% in men, which increases to 19%–76% with diagnostic neck ultrasound. To exclude thyroid cancer when screening—which occurs in 5%–15% of cases—ultrasound is followed by fine-needle aspiration biopsy of suspicious nodules. In thyroid cancer, the sensitivity and specificity of this process are limited, with a large number of non-diagnostic and false positive results that lead to unnecessary surgery.
Related Links:
Photonic Sciences
Politecnico di Milano
University of Birmingham
A multidisciplinary team that includes The Institute for Photonic Sciences (ICFO; Barcelona, Spain), Politecnico di Milano (Milan, Italy), the University of Birmingham (United Kingdom), along with five other European institutions, are collaborating on the laser and ultrasound co-analyzer for thyroid nodules (LUCA) project, which combines two photonics systems, near-infrared (NIR) diffuse correlation spectroscopy and time-resolved spectroscopy, along with a ultrasound system and a probe that enables multimodal data acquisition.
The project, launched to enhance screening of thyroid nodules for thyroid cancer, brings together clinical endocrinologists, radiologists, physicists, engineers, and industry players with the intention of developing a low-cost, point-of-care clinical device. According to the project partners, LUCA represents an innovative new tool for cancer diagnosis, screening, and therapy, and as such could have a significant impact not only in the field of thyroid cancer, but also in additional areas of the body accessible to both techniques.
“The device combines ultrasound and near-infrared diffuse optical technologies in a single device and a probe. By combining information about tissue hemodynamics, chemical constitution as well as anatomy, it will overcome the shortcomings of present techniques while screening for malign thyroid nodules,” said Prof. Turgut Durduran, PhD, of the ICFO, scientific coordinator of LUCA. “If successful, this will save millions of euros over the coming decades and improve the lives of millions of Europeans.”
“A new tool made concomitantly with thyroid ultrasound may provide additional information to help us distinguish between benign and malignant nodules,” said Mireia Mora, MD, of the August Pi i Sunyer Biomedical Research Institute (IDIBAPS; Barcelona, Spain), responsible for the clinical application of the tool. “This would allow a reduction in the number of surgeries for these reasons, and would have an important socio-economic impact, diminishing the number of surgeries and the associated comorbidities, as well as improving the quality of life of the patients affected.”
Thyroid nodules are a common pathology, with a prevalence of around 5% in women and 1% in men, which increases to 19%–76% with diagnostic neck ultrasound. To exclude thyroid cancer when screening—which occurs in 5%–15% of cases—ultrasound is followed by fine-needle aspiration biopsy of suspicious nodules. In thyroid cancer, the sensitivity and specificity of this process are limited, with a large number of non-diagnostic and false positive results that lead to unnecessary surgery.
Related Links:
Photonic Sciences
Politecnico di Milano
University of Birmingham
Latest General/Advanced Imaging News
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
- Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
- New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreMRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can be fatal in infants if not diagnosed and treated early. Even when treated, it may leave lasting damage, such as cognitive... Read more
Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Ultrasound imaging is a vital diagnostic technique used to visualize internal organs and tissues in real time and to guide procedures such as biopsies and injections. When paired with photoacoustic imaging... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more