News | Ultrasound Imaging | March 03, 2021

New Cancer Scan Could Guide Brain Surgery

A single image of a human brain using a magnetic resonance imaging (MRI) machine. Image courtesy of Dr Leon Kaufman. University Of California, San Francisco

A single image of a human brain using a magnetic resonance imaging (MRI) machine. Image courtesy of Dr Leon Kaufman. University Of California, San Francisco

March 3, 2021 — A type of ultrasound scan can detect cancer tissue left behind after a brain tumor is removed more sensitively than surgeons, and could improve the outcome from operations, a new study suggests.

The new ultrasound technique, called shear wave elastography, could be used during brain surgery to detect residual cancerous tissue, allowing surgeons to remove as much as possible.

Researchers believe that the new type of scan, which is much faster to carry out and more affordable than 'gold standard' MRI scans, has the potential to reduce a patient's risk of relapse by cutting the chances that a tumor will grow back.

A multi-institutional team led by The Institute of Cancer Research, London, and the National Hospital for Neurology and Neurosurgery, London, compared three different techniques to detect tumor tissue during surgery — shear wave scans, a standard 2-D ultrasound, and a surgeon's opinion — in 26 patients.

The research was conducted in collaboration with clinicians from The Royal London Hospital and University Hospital Southampton.

Researchers performed shear wave scans and 2-D ultrasounds during the operation — before, during and after tumour removal. The researchers also asked surgeons to identify potentially cancerous tissue before providing them with scan findings. The team then compared all techniques with gold-standard MRI scans after surgery.

The study is published in the journal Frontiers in Oncology and was funded by the Royal Free Charity and the Engineering and Physical Sciences Research Council, part of UKRI. It found that shear wave elastography was more sensitive in detecting residual tumor tissue than a standard ultrasound or the surgeon alone.

Shear wave scans detected tumor tissue with 94 per cent sensitivity — compared with 73 per cent for standard ultrasound and 36 per cent for the surgeon. This means that when there was residual tumour, shear wave scans were 2.5 times better than the surgeon at detecting it.

However, shear wave scans detected tumor tissue with only 77 per cent specificity — better than the 63 per cent for standard ultrasound but less good than the 100 percent for surgeons.

That means that the new technique could yield more 'false positives' than surgeons — and for that reason the researchers believe it would be best used in combination with a surgeon's opinion.

Shear wave elastography measures tissues' stiffness and stretchiness. Vibrations or 'shear waves' are created and detected as they move through tissue - moving faster through stiffer tissue.

Brain tumours tend, on average, to be stiffer than normal brain tissue and the technique works by mapping suspicious areas of particular stiffness, which can then be examined and removed during surgery.

Patient outcomes from brain tumour surgery are known to be better when as much of the tumor as possible is removed. In order to make sure that none of the resectable tumor is left behind, neurosurgeons use tools to guide them during surgery.

But although MRI scans are the most accurate, their use during surgery is not normally an option — as they are costly, not normally available in operating theaters and would increase the duration of surgery by almost two hours.

Shear wave scans were shown to be as good as post-surgery MRIs at detecting tumour tissue that had been left behind — making them a cheaper, faster and more feasible alternative. The study is the first to demonstrate the potential of shear wave elastography as a neurosurgical tool to confirm during surgery the completeness of tumour removal — although the benefits of the technique will now need to be confirmed in larger studies before it can be recommended as standard practice.

Study leader Professor Jeffrey Bamber, Professor in Physics Applied to Medicine at The Institute of Cancer Research, London, said: "Ensuring all of a brain tumour is removed without damaging healthy tissue is a major challenge in brain surgery. Using this new type of scan, surgeons could greatly increase confidence that no cancerous tissue is going to be left behind after surgery.

"Shear wave scanning can quickly and affordably map the stiffness of brain and tumour tissue in patients during surgery. Tumor tissue tends to have a different stiffness from that of surrounding healthy brain tissue and can be located and removed.

"We have shown for the first time that this new tool is better than either a standard 2-D ultrasound or a surgeon's judgment on its own - and has the potential to supplement a surgeon's opinion as a means of improving outcomes from operations."

Professor Kevin Harrington, Head of the Division of Radiotherapy and Imaging at The Institute of Cancer Research, London, said: "Imaging plays a crucial role in many aspects of cancer treatment, in providing valuable information about tumours and ensuring doctors don't have to make decisions blind. This new study has shown for the first time that a particular type of ultrasound scan could provide real-time guidance to brain surgeons during operations as they choose which tissue to remove. It's an exciting area of research which has the potential to improve outcomes for patients by ensuring surgeons take out the entire tumour while minimising damage to the healthy brain."

Neil Dorward, Consultant Neurosurgeon and co-researcher at the National Hospital for Neurology and Neurosurgery said: "This technique provides a very practical means of detecting areas of potentially removable tumor that are not readily visible to the operating surgeon. The surgeon must use his or her experience to decide whether the area of abnormality should be resected. This has the potential to substantially improve the outcome of such operations."

Dagmar Krafft, 54, who was not involved in the study, was diagnosed with brain cancer in 2013 after suffering a seizure. She said: "I was diagnosed with brain cancer completely out of the blue. I was at an orchestral rehearsal — where I play as an amateur violinist —when I had a seizure and was rushed to hospital. The team there took really good care of me, and I had radiotherapy to reduce the tumor size which, thankfully, was successful. After the radiotherapy finished, I was kept under regular surveillance, but otherwise life was pretty much back to normal.

"But then, at a routine scan in 2019, they discovered the cancer had relapsed. It was a total shock. This was six years after my radiotherapy had finished, and so I'd thought I was safe. I had surgery last year where they removed as much of the tumour as possible, and I now have regular scans to monitor it. I think the findings about these scans are fantastic. Any new technology that can help the surgeons do their jobs can only be a good thing — and as a patient it's really encouraging to know you'll be in the safest hands possible."

For more information: www.icr.ac.uk/

Related Shear Wave Elastography Content:

Studies Confirm Clinical Value of ShearWave Elastography for Liver Fibrosis Evaluation

Improving Clinical Image Quality for Breast Imaging

Siemens Healthineers Launches Acuson Sequoia Ultrasound

Related Content

CDC and FDA Call for Pause on Janssen COVID-19 Vaccine Due to Rare Blood Clots #COVID19 #Janssen
Feature | Coronavirus (COVID-19) | April 15, 2021 | By Dave Fornell
April 15, 2021 — The U.S.
#SiemensHealthineers #Varian #Siemens The transformative combination accelerates the company’s impact on #global #healthcare and establishes a strong partner for #customers and #patients along the entire #cancer care continuum and for many of the most threatening #diseases
News | Radiology Business | April 15, 2021
April 15, 2021 — Siemens Healthineers AG an
A doctor reading #CXR scans using #SenseCare-Chest #DR Pro #diagnostic #software.

A doctor reading CXR scans using SenseCare-Chest DR Pro diagnostic software.

News | Artificial Intelligence | April 14, 2021
April 14, 2021 — SenseTime, a world-leading...
Comparisons of high definition and standard definition infrared imaging for digital histopathology. Image courtesy of the Beckman Institute

Comparisons of high definition and standard definition infrared imaging for digital histopathology. Image courtesy of the Beckman Institute

News | Breast Imaging | April 14, 2021
April 14, 2021 — Detecting and analyzing breast cancer
The U.S. Food and Drug Administration (#FDA) authorized marketing of #Medtronic's #GIGenius, the first device that uses #artificialintelligence (#AI) based on #machinelearning to assist #clinicians in detecting #lesions (such as #polyps or suspected tumors) in the #colon in real time during a c#olonoscopy.

The GI Genius intelligent endoscopy module works in real-time, automatically identifying and marking (with a green box) abnormalities consistent with colorectal polyps, including small flat polyps.

News | Artificial Intelligence | April 12, 2021
A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Image used with permission of RSNA.

A 37-year-old woman developed a new, palpable left supraclavicular lymphadenopathy lump five days after her first dose of the Moderna COVID-19 vaccine in the left arm. On the day of vaccination, the patient was asymptomatic. This is an example of how the vaccine can mimic cancer and swollen lymph nodes. Read more about this case study. Image used with permission of RSNA.

Feature | Coronavirus (COVID-19) | April 09, 2021 | By Dave Fornell, Editor
While the mass COVID-19 vaccinat
3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine screenings, when compared with traditional mammography, according to a large study from Lund University in Sweden. The results are published in the journal Radiology.

Getty Images

News | Breast Imaging | April 09, 2021
April 9, 2021 — 3-D mammography reduces the number of breast cancer cases diagnosed in the period between routine scr
IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

IV contrast-enhanced 2-mSv 4-mm-thick transverse and coronal (b) CT images show inflamed diverticula (arrows), segmental colonic wall thickening, and adjacent pericolic fat stranding. Image courtesy of the American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

News | Computed Tomography (CT) | April 09, 2021
April 9, 2021 — According to an open-acc...