Nav: Home

AI helps to fight against lung cancer

June 29, 2017

Currently, lung cancer has become one of the most deadly cancers. In contrast to the steady increase in survival for most cancers, advances have been slow for lung cancer. Commonly, the five-year survival rate for lung cancer patients is merely 16%, which will rise to 52% if lung cancer is diagnosed at early stages. However, it will decrease to below 4% if cancer spread occurs. Therefore, it is of crucial importance to detect lung cancer at early stages for prolonging patient's life. Liu et al. from Beihang University have proposed one computer aided detection method based on artificial neural network for lung cancer detection, which will soon appear in the 7th issue of SCIENCE CHINA Information Sciences in 2017.

In clinical practice, Computer Tomography (CT) can capture fine-grained details for both lung nodules and surround structures, acting as the golden standard for diagnosis. However, the high sensitivity of CT imaging also leads to huge data and complex ambiguities, which makes it hard for radiologists for distinguishing pathological structures from healthy. In recent years, Computer Aided Detection (CADe) system has developed rapidly and shown great potential in diagnosis assistance. Detection for lung nodules is an obvious guidance for lung cancer diagnosis and treatment. However, it is hard to assess lung nodules due to various nodule appearances, minor differences between nodule and healthy structures, as well as the influence by vessel and other tissues around nodules.

Inspired by the prior works, this article presents an artificial neural network based approach to the extraction of lung nodules from chest CTs. The pipeline and the ANN architecture can be found in Fig.1 and Fig.2, separately. Different from classical methods, we focus on the inner structures of nodule voxels and apply ANN to generalize these characteristics. We are working in 3D space consisting of only voxels instead of processing slice by slice in CT volume. Our method can be easily integrated into existing CADe systems and rapidly accommodate and process new data streams with few human interactions. Meanwhile, we propose a novel voting method based on geometrical and statistical features to better extract initial candidate regions while suppressing ambiguous structures. Finally, we have proposed a nodule detection approach with multiple trained ANNs based on 3D massive sampling of candidate voxels instead of user-specified features with a goal to reduce various false positives.
-end-
Please refer to Liu X, Hou F, Qin H, et al. A CADe system for nodule detection in thoracic CT images based on artificial neural network[J]. Science China Information Sciences, 2017, 60(7):072106. for details, which can be found under http://engine.scichina.com/doi/10.1007/s11432-016-9008-0 on the official website of SCIENCE CHINA Information Sciences.

Science China Press

Related Lung Cancer Articles:

Lung cancer therapy may improve outcomes of metastatic brain cancer
A medication commonly used to treat non-small cell lung cancer that has spread, or metastasized, may have benefits for patients with metastatic brain cancers, suggests a new review and analysis led by researchers at St.
Cancer mortality continues steady decline, driven by progress against lung cancer
The cancer death rate declined by 29% from 1991 to 2017, including a 2.2% drop from 2016 to 2017, the largest single-year drop in cancer mortality ever reported.
Cancer-sniffing dogs 97% accurate in identifying lung cancer, according to study in JAOA
The next step will be to further fractionate the samples based on chemical and physical properties, presenting them back to the dogs until the specific biomarkers for each cancer are identified.
Lung transplant patients face elevated lung cancer risk
In an American Journal of Transplantation study, lung cancer risk was increased after lung transplantation, especially in the native (non-transplanted) lung of single lung transplant recipients.
Proposed cancer treatment may boost lung cancer stem cells, study warns
Epigenetic therapies -- targeting enzymes that alter what genes are turned on or off in a cell -- are of growing interest in the cancer field as a way of making a cancer less aggressive or less malignant.
Are you at risk for lung cancer?
This question isn't only for people who've smoked a lot.
Better equipped in the fight against lung cancer
Lung cancer is the third most common type of cancer in Germany and the disease affects both men and women.
New liquid biopsy-based cancer model reveals data on deadly lung cancer
Small cell lung cancer (SCLC) accounts for 14 percent of all lung cancers and is often rapidly resistant to chemotherapy resulting in poor clinical outcomes.
Cancer drug leads to 'drastic decrease' in HIV infection in lung cancer patient
Doctors in France have found the first evidence that a cancer drug may be able to eradicate HIV-infected cells in humans.
Air pollution is associated with cancer mortality beyond lung cancer
A large scale epidemiological study associates some air pollutants with kidney, bladder and colorectal cancer death.
More Lung Cancer News and Lung Cancer Current Events

Trending Science News

Current Coronavirus (COVID-19) News

Top Science Podcasts

We have hand picked the top science podcasts of 2020.
Now Playing: TED Radio Hour

Processing The Pandemic
Between the pandemic and America's reckoning with racism and police brutality, many of us are anxious, angry, and depressed. This hour, TED Fellow and writer Laurel Braitman helps us process it all.
Now Playing: Science for the People

#568 Poker Face Psychology
Anyone who's seen pop culture depictions of poker might think statistics and math is the only way to get ahead. But no, there's psychology too. Author Maria Konnikova took her Ph.D. in psychology to the poker table, and turned out to be good. So good, she went pro in poker, and learned all about her own biases on the way. We're talking about her new book "The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win".
Now Playing: Radiolab

Invisible Allies
As scientists have been scrambling to find new and better ways to treat covid-19, they've come across some unexpected allies. Invisible and primordial, these protectors have been with us all along. And they just might help us to better weather this viral storm. To kick things off, we travel through time from a homeless shelter to a military hospital, pondering the pandemic-fighting power of the sun. And then, we dive deep into the periodic table to look at how a simple element might actually be a microbe's biggest foe. This episode was reported by Simon Adler and Molly Webster, and produced by Annie McEwen and Pat Walters. Support Radiolab today at Radiolab.org/donate.