#tumour

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High-capacity digital image analysis

Spatial statistics extract subvisual features

Spatial analytics offers greater clarity in the assessment of tumours beyond routine microscopic analysis. High-capacity digital image analysis enables new methods of spatial statistics to extract features not immediately distinguishable by visual inspection. These subvisual features reflect complex properties, such as intratumour heterogeneity and have the additional benefit that they can target…

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Neuro-oncology

Challenges in brain tumour segmentation

Neuroradiologist Dr Sofie Van Cauter described the challenges to brain tumour image segmentation during the European Society of Medical Imaging Informatics (EuSoMII) annual meeting in Valencia. She also outlined how, when clinically validated, AI could help tackle such problems. The WHO classification of brain tumours has come a long way since first introduced in 1979. The 2016 classification was…

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Brain tumor treatment network

'Federated learning' AI approach allows hospitals to share patient data privately

To answer medical questions that can be applied to a wide patient population, machine learning models rely on large, diverse datasets from a variety of institutions. However, health systems and hospitals are often resistant to sharing patient data, due to legal, privacy, and cultural challenges. An emerging technique called federated learning is a solution to this dilemma, according to a study…

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Lesion segregation

Explaining the extreme complexity of mutations in tumor genomes

Scientists from the German Cancer Research Center (DKFZ) and the Universities of Cambridge and Edinburgh have been studying the evolution of tumors following chemical damage. They discovered that the DNA lesions caused by the chemical are not eliminated immediately, but are passed on unrepaired over several rounds of cell division. This "lesion segregation" can drive unexpectedly…

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Glioma grading

AI enhances brain tumour diagnosis

A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual…

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Two-way magnetic resonance tuning

New double-contrast technique picks up small tumors on MRI

Early detection of tumors is extremely important in treating cancer. A new technique developed by researchers at the University of California, Davis, offers a significant advance in using magnetic resonance imaging (MRI) to pick out even very small tumors from normal tissue. The work is published in the journal Nature Nanotechnology. Chemical probes that produce a signal on MRI can be used to…

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Cause for lack of immune defense against tumors discovered

Improving immunotherapy for cancer

Our immune system not only protects us against infection, but also against cancer. This powerful protection is based in particular on the activation of special cells of the immune system, CD8+ T cells. These cells recognize infected or cancer cells and kill them specifically. “The ability of the immune system and especially CD8+ T cells to eliminate cancer cells in tissues such as the lung, gut…

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Medulloblastoma

New insights into deadly brain tumours in children

The causes of 40 percent of all cases of certain medulloblastoma – dangerous brain tumors affecting children – are hereditary. These are the findings of a recent genetic analysis carried out by scientists from the Hopp Children's Cancer Center (KiTZ), the European Molecular Biology Laboratory (EMBL) and numerous colleagues around the world, which have just been published in the scientific…

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Assessment of brain tumour treatment response

Developing AI algorithms for earlier glioblastoma detection

Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate. Through a number of clinical trials – and the application of artificial intelligence (AI) to retrospective data sets – the aim is to highlight approaches that will enable clinicians to…

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Glioblastoma

New imaging technique to study 3D printed brain tumors

Glioblastomas are complex, fast-growing malignant brain tumors that are made up of various types of cells. Even with aggressive treatment — which often includes surgery, radiation, and chemotherapy — glioblastomas are difficult to treat, leading to an average survival of 11-15 months. In research published in Science Advances, Xavier Intes, a professor of biomedical engineering at Rensselaer,…

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BCG vs tumour recurrence

Modified tuberculosis vaccine shows promise against bladder cancer

The human immune system can recognize and eliminate not only germs but also cancer cells. This is why treatments with weakened germs can help the immune system in its fight against cancer. Researchers at the Max Planck Institute for Infection Biology in Berlin have genetically modified the tuberculosis vaccine BCG in a way that it stimulates the immune system more specifically. Consequently, the…

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Blood test & AI power

Early brain tumour detection – within minutes

A simple blood test coupled with artificial intelligence (AI) analysis could help spot the signs of a brain tumour sooner in patients. Brain tumour diagnosis is difficult: patients often see their family doctor (GP) several times before referral for a scan. However, research presented at the 2019 National Cancer Research Institute (NCRI) Cancer Conference in Glasgow last November suggests the…

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Zooming in

Breast cancer map reveals how mutations shape the tumour landscape

Scientists have created one of the most detailed maps of breast cancer ever achieved, revealing how genetic changes shape the physical tumour landscape. An international team of scientists, brought together by a £20 million Grand Challenge award from Cancer Research UK, has developed intricate maps of breast tumour samples, with a resolution smaller than a single cell. These maps show how the…

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Personalized treatment

Could B cells turn the tide in sarcoma immunotherapy?

How can the treatment of soft tissue sarcomas, these particularly resistant and aggressive forms of cancer, be improved and better personalized? An international team led by Wolf Hervé Fridman with researchers from Inserm, Sorbonne Université and Université de Paris at the Cordeliers Research Center, in collaboration with the French League against cancer and Institut Bergonié, has shown that…

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MRI & machine learning

A look into the genome of brain tumors

Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports. Cancer treatment…

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Gastric squamous-columnar junction cancer

The role of stem cells in deadly gastric SCJ cancer

A study led by scientists from Cornell University provides important new insights into a common and deadly type of gastric cancer. Incidence of this cancer, called gastric squamous-columnar junction (SCJ) cancer, also known as gastroesophageal cancer, rose 2.5 times in the United States between the 1970s and 2000s, while cases of all gastric cancers have decreased by more than 80% since the…

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Stimulated Raman histology

Imaging system and AI algorithm accurately identify brain tumors

A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors, a new study finds. Published in Nature Medicine, the study examined the diagnostic accuracy of brain tumor image classification through machine learning, compared with the accuracy of pathologist interpretation of conventional…

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Biomarker for personalised treatment

Non-invasive technique to assess brain tumours in children

Ground-breaking research by the University of Birmingham has discovered a new technique to assess the aggressiveness of childhood brain tumours. Funded by Children with Cancer UK, Action Medical Research and The Brain Tumour Charity, the study is the first of its kind and will allow clinicians to give more personalised treatments for childhood brain cancers, which currently account for one third…

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Imaging the brain

Ultra-miniaturized endoscope produces HQ images

Johns Hopkins engineers have created a new lens-free ultra-miniaturized endoscope, the size of a few human hairs in width, that is less bulky and can produce higher quality images. Their findings were published in Science Advances. “Usually, you have sacrifice either size or image quality. We’ve been able to achieve both with our microendoscope,” says Mark Foster, an associate professor of…

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Malignant infantile brain tumours

​Epilepsy drug inhibits brain tumour development

Medication prescribed for a certain type of epilepsy may offer a new method for treating malignant infantile brain tumours. A specific mTOR inhibitor has the ability to cross the blood–brain barrier to both reach and attack the tumour at source. This has been demonstrated by researchers from Uppsala University, in collaboration with US and UK colleagues, whose research has now been published in…

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Chemical clues

AI blood test can spot signs of brain tumour

Chemical analysis of blood samples, combined with an artificial intelligence program, could speed up the diagnosis of brain tumours, according to research presented at the 2019 NCRI Cancer Conference. Brain tumours tend to have ambiguous symptoms, such as headache or memory problems, and a brain scan is currently the only reliable way of diagnosing them. Researchers say their test, which works by…

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CYLD cutaneous syndrome

Breakthrough in understanding CCS skin disease

For the first time, scientists at Newcastle University have identified changes in the DNA of the tumour cells in those with CYLD cutaneous syndrome (CCS) that may help them grow. A study published in Nature Communications suggest that the tumour cells gain a ‘survival advantage’ when the changes occur – an important step in understanding ways to develop treatments. CCS is a hereditary…

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