Archive: 15 August 2021

DCGI Classifies Over 100 Medical Devices Linked To Radiology

In accordance with the intended use, risk associated with the device, and other parameters specified in the First Schedule of the Medical Devices Rules-2017, the Drugs Controller General of India (DCGI), Directorate General of Health Services, India’s central medical device regulator, the Central Drugs Standards Control Organization (CDSCO), has classified medical devices pertaining to interventional Radiology, Rehabilitation, Dermatological and Plastic Surgery, and Physical support.


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India’s medical device market including medical imaging to be supported by reform and infrastructure

The Make In India initiative will be a long-term driver of local medical device manufacturing, Fitch Solutions has said. The scheme for the promotion of medical device parks will help develop the necessary infrastructure, providing 90 percent of the project cost in north-eastern and hilly states and 70 percent in other states.

In the short-term, diagnostic imaging will grow strongly throughout 2021 due to increased demand as a result of the Covid-19 pandemic, expanding by 40.8 percent in 2021 and returning to mid-single-digit growth from 2023, supported in the long-term by market advancements.

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Hybrid PET/MRI spares 20% of brain tumor patients from unnecessary follow-up treatment

A molecular, hybrid imaging approach accurately detects malignant brain tumors while also preventing unnecessary invasive procedures, recently published research suggests.

Combined PET/MRI scanning with radiopharmaceuticals such as 18F-fluorethyl tyrosine (18F-FET) has proven to enhance diagnostic performance, but there’s less evidence such imaging impacts clinical decision-making. German researchers tested the approach in patients with brain tumors, reporting positive results.

Further studies considering these aspects might evaluate finally if 18F-FET PET/MR as a hybrid modality qualifies for evidence-based use in clinical routine.

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Robotic scanner that automates diagnostic imaging in the eye

Engineers and ophthalmologists at Duke University have developed a robotic imaging tool that can automatically detect and scan a patient’s eyes for markers of different eye diseases. By removing the need for highly trained technicians, the imaging tool could make it easier to diagnose eye diseases outside of specialized clinics

The new tool, which combines an imaging scanner with a robotic arm, can automatically track and image a patient’s eyes in less than a minute, and produce images that are as clear as the traditional scanners in specialized eye clinics.

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Emerging trends in the Treatment Planning Systems Market

Medical imaging software is considered one of healthcare’s fastest-growing segments inclusive of multiple image modalities.

The increasing prevalence of cancer is boosting demand for innovative treatment practices in oncology. There is rising adoption of artificial intelligence (AI) and machine learning (ML) into oncology processes. Radiotherapy is also is gaining popularity as one of the prominent and cost-effective treatment options. Although the global demand for radiology services is increasing, the rate of trained radiologists is only increasing at half its pace. Therefore there is a high demand for advanced image processing solutions. Three-dimensional image reconstruction and advanced radiotherapy are also anticipated to grow over the next few years.

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MRI features can predict response to neoadjuvant chemotherapy for breast cancer

The Czarnota Research Team investigated whether pre-treatment T2-weighted magnetic resonance imaging can be used to predict response to neoadjuvant chemotherapy in breast cancer.

Pre-treatment T2-weighted MRI texture features can predict NAC response with reasonable accuracy. The study examined T2 non-contrast images in predicting the treatment response to NAC. They intend to expand the current study cohort to include a higher number of patients to perform more robust validation strategies, including consideration of external validation from a different institution.

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A Hotline and HOT Site – A centralized approach to imaging during COVID-19

A team of investigators from Yale University School of Medicine and Yale New Haven Hospital shared their experience that streamlined radiology services while protecting staff and patients. This project provided efficient and reassuring radiology operations during an emergency situation by providing a single reliable point of contact and a source of truth for all facets of radiology

In March 2020, the team launched their hotline, staffed by radiologic technologists, scheduling staff, and two assistant chief radiologic technologists, to answer all radiology COVID-19-related questions and help schedule appointments. All X-rays were scheduled through the hotline to ensure proper screening, and any COVID-19-positive patient was seen at a “HOT” site.

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A flexible, wearable X-ray detector that doesn’t require heavy metals

Researchers report a proof-of-concept wearable X-ray detector prepared from nontoxic metal-organic frameworks (MOFs) layered between flexible plastic and gold electrodes for high-sensitivity sensing and imaging.

Previous researchers have used MOFs for flexible radiation detectors because they are semiconducting materials that respond to electromagnetic radiation by creating an electrical current. However, some of these MOFs still include lead, just like the X-ray detectors that are currently in use. So, researchers in ACS’ Nano Letters wanted to create a heavy-metal-free MOF for a flexible X-ray detector and imager.

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