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Most accurate ultrasound test could detect 96% of ovarian cancers

Written by Louise Stanley on . Posted in Cancer outcomes, Early diagnosis and detection.

An ultrasound test that detected 96% of ovarian cancers in postmenopausal women should replace the current standard of care test in the UK, according to a new study by BHP members.

In a paper published in Lancet Oncology, researchers funded by the NIHR and led by Professor Sudha Sundar conducted a head-to-head comparison of all currently-available tests to diagnose ovarian cancer in postmenopausal women, in a high-quality diagnostic test accuracy study.

Of the six diagnostic tests investigated, the IOTA ADNEX model which looks at ultrasound features (how the lump looks on ultrasound) had the best accuracy of all and could detect up to 96% of ovarian cancers.

The ultrasound test outperforms the current standard of care in the UK significantly and so researchers recommend that the IOTA ultrasound ADNEX model should replace the current standard of care test in the UK which identifies 83% of ovarian cancers.

Sudha Sundar, Professor of Gynaecological Cancer at the University of Birmingham and consultant in gynaecological cancer surgery at Sandwell and West Birmingham NHS Trust – both BHP members – said: “This is the first time that a head-to-head study of all available ovarian cancer tests has been done in the same population. Here we studied their use with symptomatic, post-menopausal women who are most at risk of this cancer. Our trial found that the IOTA ADNEX ultrasound protocol had highest sensitivity for detecting ovarian cancer compared to the standard of care and other tests.

“The ultrasound test also performs well when delivered by a trained sonographer who has received specific training, certification and quality assurance, and as the vast majority of ultrasound scans are performed by sonographers it is important that a new standard is able to be delivered by as many clinical professionals as possible.

“We found that the higher sensitivity of the IOTA ADNEX model is likely to lead to some women who don’t have cancer also being flagged up as having a higher risk of cancer. We however did discuss this extensively with patients, cancer charity Target ovarian cancer and NHS experts who all agreed that in postmenopausal women who are at higher risk of ovarian cancer, picking up more women with cancer would benefit women overall.”

Annwen Jones OBE, Chief Executive at Target Ovarian Cancer said: “Early diagnosis of ovarian cancer is vital, and we are pleased to see this research demonstrate that there are more accurate ways of using ultrasound. The faster and earlier ovarian cancer is diagnosed, the easier it is to treat and the more successful the outcomes. Alongside this innovative research, we need to see greater awareness of the symptoms of ovarian cancer so that women know to come forward to their GP for testing and receive the best possible treatment as quickly as possible. It is crucial that new ways of working like this are rolled out as quickly as possible.”

The research team note that the IOTA ADNEX model achieved 96% accuracy when delivered by NHS sonographers who were appropriately trained and received quality assurance. As most scans worldwide are carried out by sonographers rather than gynaecologists, introductory free online resources have been created by the researchers for NHS staff to undergo the specialist ultrasound training to obtain certification and quality assurance.

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‘Symptom triggered’ test can detect early-stage aggressive ovarian cancer in 1 in 4 cases

Written by Louise Stanley on . Posted in Cancer outcomes, Early diagnosis and detection.

Symptom triggered testing, prompted by symptoms such as pain, abdominal bloating/swelling, and feeling full soon after starting to eat, can pick up early-stage aggressive ovarian cancer in 1 in 4 of those affected, according to new research.

A study published in the International Journal of Gynaecological Cancer and funded by the National Institute for Health and Care Research found that the UK’s protocol for picking up early-stage disease in women with high grade serous ovarian cancer—the most common, aggressive, and lethal form of the disease— is an effective way to diagnose even early-stage ovarian cancer.

The findings also show that complete surgical removal of the cancerous tissue is possible even in more advanced disease, providing that women with suspicious symptoms are expedited for investigation and treatment, they add.

A team of researchers led by BHP founding member the University of Birmingham analysed data for 1741 women taking part in the Refining Ovarian Cancer Test accuracy Scores (ROCkeTS) study, which involves 24 UK hospitals. The women had all been fast tracked for treatment under the symptom-triggered testing rapid access pathway.

Sudha Sundar, Professor of Gynaecological Cancer at the University of Birmingham and the Pan Birmingham Gynaecological Cancer Centre at BHP member Sandwell and West Birmingham Hospital NHS Trust said:

“Our figures demonstrate that in a real-world setting, symptom-based testing can potentially lead to diagnosis of high grade serous ovarian cancer with low disease spread and results in a high proportion of complete surgical removal of the cancer.”

“These findings challenge the assumption that the disease should always be considered to be in its advanced stages in women once they develop symptoms.

“More importantly, our findings emphasise the importance of increasing an awareness of ovarian cancer symptoms to facilitate earlier diagnosis via referral through the fast-track pathway to improve patient outcomes.”

Key findings

  • Among participants in the study, 119 (7%) were diagnosed with high grade serous ovarian cancer with an average age of 63, and 90% had gone through the menopause.
  • In most of these women (112; 94%) cancer didn’t hugely interfere with their daily lives, as they were classified with a performance status of 0 or 1, meaning they either were fully active, or were able to do everything but strenuous activities.
  • One in four (30; 25%) had early stage I or II disease.
  • Visible cancerous tissue was completely removed in 73 (61%) and almost completely removed in 18 (15%). The disease was only deemed to be inoperable in 9 (8%).
  • The extent of cancer was low in 43 of the 119 (36%), meaning that it was localised in the pelvis; moderate in 34 (29%), meaning that it had spread to the lower abdomen; and high in 32 (27%), meaning that it had spread up to any of the liver, pancreas, diaphragm or spleen. Information on disease extent wasn’t available for 10 (8.5%) women.
  • Surgery to remove as much of the tumour as possible, which is associated with longer survival, was carried out in more than three in four women (93 ,78%), with almost two thirds receiving surgery ahead of chemotherapy (78, 65%,). 36 (30%) were given chemotherapy to shrink the tumour ahead of surgery; 5 (4%) women didn’t have surgery, information on this was not available for 17 (14%) women.

The UK adopted symptom-triggered testing for ovarian cancer in 2011. Women, especially those over 50 years with these symptoms are tested for levels of the tell-tale protein CA125 in their blood and given an ultrasound scan. Abnormal results prompt a fast-track referral for hospital review by a gynaecologist within 2 weeks.

Ovarian cancer is the seventh most common cancer amongst women worldwide, and the sixth most common cause of cancer death in the UK. While most (93%) women diagnosed with early-stage disease (I or II) survive for more than 5 years, only 13% of those diagnosed with advanced disease (stages III or IV) do so.

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Patients with recent onset diabetes fast-tracked more effectively for pancreatic cancer screening

Written by Louise Stanley on . Posted in Cancer outcomes, Early diagnosis and detection, Inflammation and chronic disease.

A recent study, funded by Pancreatic Cancer UK and conducted by researchers at BHP’s University of Birmingham, in collaboration with University of Oxford, University of Nottingham and fellow BHP founder-members University Hospitals Birmingham NHS Foundation Trust, developed a new prediction model as an effective way of identifying individuals suitable for fast-track abdominal imaging.

Weight loss and glycaemic control are known biomarkers that can indicate pancreatic cancer risk and in, accordance with NICE recommendations, people over the age of 60 years with recent onset diabetes and weight loss currently undergo urgent abdominal CT imaging to assess for pancreatic cancer.

Pancreatic cancer is known for its poor prognosis, with less than a quarter of patients surviving past one year after diagnosis. Early detection is important as patients with early-stage disease are more likely to be able to tolerate chemotherapy and therefore have an improved 5-year survival rate, but most patients are not diagnosed until the later stages of the disease. One way of detecting pancreatic cancer patients sooner is through screening patients with diabetes as there is a known association.

By looking at further potential biomarkers to determine which patients would benefit from referral for abdominal imaging, there is a chance of picking more cancers and reducing the cost of imaging those who are not so high-risk.

Dr Shivan Sivakumar, Associate Professor in oncology, specialising in pancreatic, liver and biliary tract cancer, said: “One in ten pancreatic cancer patients have new-onset diabetes and we know that some patients with newly diagnosed diabetes are worth exploring further to improve early detection of pancreatic cancer. We need to more accurately predict which of those patients should be referred for further investigation. We used health data records, from a larger patient population than has previously been studied, to develop a more nuanced method of stratification that could improve referral pathways.”

This study used large-scale, population-representative, linked electronic health data records to develop and evaluate a new prediction model that can be used to predict risk of developing pancreatic cancer within two years of a diabetes diagnosis. The new models used a variety of potential markers and were able to predict pancreatic cancer risk in patients aged between 30 and 85 years, rather than relying on the 60+ rule of thumb.

This study was the largest of its kind and offers improved accuracy compared to previous prediction models as it used a larger data set. The new prediction model could be more effective than current ‘rules-based’ referral guidelines. Further external validation and health economic assessment is recommended.

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Children’s brain tumours could be diagnosed with 10-minute scan

Written by Louise Stanley on . Posted in Cancer outcomes, Early diagnosis and detection.

Children with the most common malignant form of brain cancer could see diagnostic wait times dramatically reduced thanks to new research that trialled a quicker and less invasive way of determining which type of tumour they have. 

The study, published in eBioMedicine, was conducted by a team of researchers led by the University of Birmingham (UoB) and Newcastle University, with Birmingham Children’s Hospital as the lead clinical centre, and funded by Children with Cancer UK and Cancer Research UK. UoB and Birmingham Women’s and Children’s NHS Foundation Trusts are both founding members of BHP.

The collaborative team identified how the four different groups of medulloblastoma, a malignant children’s brain tumour, had a specific profile based on their individual metabolism. Taking cell samples from 86 tumours, a laboratory test was used to accurately identify metabolic markers including chemicals specific to the different tumour groups.  

The study also validated previous research that found that glutamate, a metabolite present across all of the tumour cells, is linked closely with tumour prognosis. 

Significantly, the research could pave the way for using MRI scanning combined with machine learning to assess medulloblastomas for their ‘signature’ metabolic profiles without the need for invasive biopsy and could rapidly reduce the current 3-4 week wait from presentation to full diagnosis. 

Andrew Peet, Emeritus Professor of Clinical Paediatric Oncology at the University of Birmingham and an Honorary Consultant at Birmingham Women’s and Children’s NHS Foundation Trust, who is lead author of the study said: “Time is so important in cancer diagnosis so our findings on different types of medulloblastoma having a detectable signature metabolism could be game changing for quickly diagnosing, and then offering the best possible treatment for children.”

Professor Steve Clifford, Chair of Molecular Paediatric Oncology at the Newcastle University Centre for Cancer, who jointly led the study said: “Providing a rapid diagnosis using innovative scanning and AI (artificial intelligence) techniques, has the potential to revolutionise patient management, allowing early non-invasive diagnosis, tailoring of treatment decisions and reducing the period of uncertainty for patients and parents while awaiting a full diagnosis. Further, our biological findings provide critical new insights into the metabolism underpinning these tumours, and the potential to exploit these therapeutically.”

The latest findings could be game changing for children like Jack Bourne, aged six, from Birmingham who was diagnosed with medulloblastoma in March 2023.

Jack’s dad Tom said: “We’ve been through 13 months of treatment but six weeks of that was just waiting to find out what type of tumour he had. We were so scared.”

Within weeks of starting school, Jack had started experiencing sickness and headaches which doctors put down to possible separation anxiety or vertigo. But when parents Tom and Tom and Suzanna noticed that he was struggling to walk, they sought a second opinion and Jack was referred to Birmingham Children’s Hospital the same day.

“When they told me the results of the MRI scan, I didn’t know what to feel,” said Tom. “As we were trying to digest everything, they were asking us to sign consent forms because they wanted to operate first thing the next morning. You’re reading these forms and all you see is – he might not make it out alive. It’s heartbreaking, it really is.”

Jack pulled through the ten-hour operation to remove the tumour, but it would take more than four weeks for doctors to figure out what specific type of medulloblastoma he had in order to effectively treat it.

“The research that’s going into diagnosing tumours is really important,” said Tom. “In Jack’s case there was quite a delay while they sent his tumour to Great Ormond Street to be analysed. During that time Jack was given some chemo just to start things off because they just wanted to do something rather than just wait. But all you want is for your child to be given the best possible treatment right from the start.” 

Christiana Ogunbote, Head of Research at Children with Cancer UK said: “We are incredibly proud to help fund this innovative medulloblastoma research and are excited to see how it could change the experiences of children diagnosed with this disease and their families. Discovering new ways to improve outcomes for children with cancer is at the heart of what we are trying to achieve. Through continued and sustained investments in research we look forward to a day where every child can survive their cancer diagnosis.” 

Dr Laura Danielson, Children’s and Young People’s Research Lead at Cancer Research UK, said:  “Developing quicker, less invasive ways to accurately diagnose the different types of medulloblastoma, the most common malignant brain tumour in children, is a crucial step in improving outcomes for young patients. 

“This important study has identified a new way to distinguish between the four subgroups of medulloblastoma. This discovery paves the way for the development of simple imaging tests that could quickly and accurately diagnose the different types of medulloblastoma. 

“This kind of discovery research is important to drive new and improved ways to better detect and treat cancers affecting children and young people.”

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Statisticians call for rigour and transparency in the evaluation of diagnostic tests

Written by Louise Stanley on . Posted in Early diagnosis and detection.

Recommendations – developed by a working group of statisticians – on reframing the evaluation of in vitro diagnostic tests have been published today by the Royal Statistical Society in its Series A journal. The group was co-chaired by Professor Jon Deeks, at BHP founder-member the University of Birmingham and former RSS President, Professor Deborah Ashby, at Imperial College London.

The report, which will be submitted to the UK Covid-19 Inquiry, is intended to help prevent future scenarios in which IVDs are marketed widely, but later attract serious concerns about the standards applied to their evaluation. Its co-authors include statisticians from the Universities of Oxford, Cambridge, Edinburgh, Birmingham and the London School of Hygiene and Tropical Medicine.

The research was prompted by concerns about the standards applied to the evaluation of diagnostic tests during the Covid-19 pandemic – particularly lateral flow tests – however the recommendations cover all new tests, especially those designed to detect infectious diseases.

It is published today in the RSS’s Series A journal and also presented at the Evidence Based Early Diagnosis conference at St Andrews.

The RSS Working Group on Diagnostic Tests set out 22 recommendations, designed to ensure that in vitro diagnostic (IVD) tests – which typically test samples of fluids such as blood, urine or saliva – are statistically robust and fit for purpose. The RSS Working Group identified Study-Design matters (10 recommendations); Regulation matters (6 recommendations); Transparency matters (6 recommendations).

Jon Deeks, Professor of Biostatistics at the University of Birmingham, said: “The Covid-19 pandemic provided a microcosmic insight into inadequacies in current processes to evaluate and regulate diagnostic tests. It’s important that we learn from these failures and establish robust processes that can be applied broadly across diagnostic tests.”

The report covers three areas of diagnostic testing: study-design of evaluations; regulation of tests; and transparency of test evaluations.

Key recommendations included:

  • Evaluation needs to take into account each specific intended use of the test, including the person being tested, the target condition and even the facilities where the testing will be done. Field or clinical evaluation studies should be carried out for each intended use.
  • Direct comparison of alternative IVDs and testing strategies should be available to inform clinical and public health decision-making.
  • The Medicines and Healthcare products Regulatory Agency (MHRA) should collaborate with independent experts to revise the national licensing process for IVDs. This will ensure public safety is protected. Protocols and reports for test evaluations should be publicly available to ensure transparency in all planning and decision-making.

The publication of the report is relevant for the opening of the ‘Test, Trace and Isolate’ module of the UK Covid-19 Inquiry. It also coincides with the MHRA’s recently-launched consultation on improved safety for high-risk diagnostic devices.

Professor Sheila Bird at the MRC Biostatistics Unit at the University of Cambridge, said: “Past Royal Statistical Society Working Party reports on matters which affect the public health have had enduring impact. Official Statistics – Counting with Confidence led to the UK Statistic Act of 2007; Statistics and Statisticians in Drug Regulation led to the appointment of professional statisticians by the UK, and later, European drug regulator; Statistical Issues in First-in-Man Studies led to safety-enhanced study-designs with open protocols. I hope that this month’s consultation by MHRA is indicative that Diagnostic Tests is making its mark already.”

Dr Andrew Garrett, President of the Royal Statistical Society, said: “The report provides a thorough evaluation of both diagnostic tests and diagnostic testing. It addresses how to develop, regulate, and use diagnostic tests in the future – a subject that is of increasing importance to individual and public health.”

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Launch of new international medical code for presymptomatic type 1 diabetes

Written by Louise Stanley on . Posted in Early diagnosis and detection, Inflammation and chronic disease.

Researchers at BHP founder-member the University of Birmingham have partnered with NHS England to produce a diagnostic code tailored for individuals in the early phases of type 1 diabetes, enhancing patient prospects for timely healthcare and access to cutting-edge treatments.

Today marks the introduction for a new SNOMED CT code specifically for presymptomatic type 1 diabetes, which will be integrated into the standardised and multilingual set of clinical healthcare terminology. SNOMED codes are crucial in electronic health records, being used to identify a person’s underlying medical conditions. This system acts as the most precise and extensive list in clinical health terminology globally.

Type 1 diabetes progresses gradually through three stages, with the initial two stages termed presymptomatic type 1 diabetes. Individuals in this phase exhibit biological markers, or autoantibodies, indicating the onset of the immune attack that targets insulin-producing beta cells. Given the absence of symptoms, detection relies heavily on screening initiatives such as the ELSA study, a trial led by Professor Parth Narendran at the University of Birmingham,  screening children for type 1 diabetes. Screening initiatives such as these will allow for early identification.

Lauren Quinn, who co-leads the ELSA study and assisted in the development of the of the SNOMED code, commented: “The introduction of this SNOMED code facilitates clinical care and follow-up for individuals with presymptomatic type 1 diabetes. It also allows researchers to identify people who could benefit from novel therapies to delay the onset of type 1 diabetes and recruit them to clinical trials of immunotherapies.”

“This will transform type 1 diabetes research by fast-tracking recruitment, unravelling how the condition develops and progresses, and bringing us closer to licensed disease-modifying treatments in type 1 diabetes.”

Dr. David Shukla, a GP and Clinical Research Fellow involved in code development, highlighted its practical implications: “The inclusion of a code for the diagnosis of presymptomatic type 1 diabetes will highlight to healthcare professionals involved in their care the individuals who are at high risk of developing type 1 diabetes. This will help ensure that when these people progress and develop symptomatic type 1 diabetes, it will be picked up and treated at a much earlier stage.”

“This reduces the risk of them presenting or being diagnosed late and developing diabetic ketoacidosis, an emergency complication of type 1 diabetes that can be fatal. This timely pick up and initiation of prompt treatment will lead to substantial improvements in their diabetes and future care.”

Hilary Nathan, Director of Policy and Communications at JDRF UK, added: “This recognition of presymptomatic type 1 diabetes with a SNOMED code is a crucial step towards the implementation of population screening programmes for early detection of type 1 diabetes. Early detection leads to short and long-term health benefits, improved quality of life and cost savings for healthcare providers.”

“The new code will unlock better monitoring, follow-up and education for people in the earliest stages of type 1. It will also help facilitate recruitment into clinical trials of emerging treatments, enabling people developing type 1 diabetes to access therapies that have the potential to claw back valuable time free from the burdens of type 1 diabetes management.”

The code for type 1 diabetes in SNOMED is ‘Diabetes mellitus type 1 – 46635009’. The new code presymptomatic type 1 diabetes, known as ‘‘Presymptomatic diabetes mellitus type 1 – 1290118005′, has now been introduced for inclusion in individuals’ electronic health records. 

These codes are now part of the ‘Health conditions’ category in the NHS app, allowing individuals and their families to access them as well. 

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