A team of researchers from China and South Korea developed a machine-learning model that utilizes nodule characteristics on CT and pairs it with sociodemographic information to predict malignancy risk in patients with multiple pulmonary nodules. In testing, the algorithm called PKU-M yielded better results than previous models and also outperformed three thoracic surgeons and a radiologist in a prospective evaluation. Our prediction model, which was exclusively established for patients with multiple nodules, can help not only mitigate unnecessary surgery but also facilitate the diagnosis and treatment of lung cancer, said co-author Dr. Young Tae Kim, PhD, of Seoul National University Hospital in a statement from the American Association for Cancer Research (AACR).
E-Mail
PHILADELPHIA - A machine learning-based tool was able to predict the risk of malignancy among patients presenting with multiple pulmonary nodules and outperformed human experts, previously validated mathematical models, and a previously established artificial intelligence tool, according to results published in
Clinical Cancer Research, a journal of the American Association for Cancer Research.
Tools currently available can predict malignancy in patients with single nodules; predictive tools for patients presenting with multiple nodules are limited. With the adoption of widespread use of thoracic computed tomography (CT) for lung cancer screening, the detection of multiple pulmonary nodules has become increasingly common, said study author Kezhong Chen, MD, vice professor in the Department of Thoracic Surgery at Peking University People s Hospital in China. Among patients presenting with a pulmonary nodule on a CT scan in a previous lung cancer screening trial, rough
Novel non-steroid topical cream can safely and effectively treat plaque psoriasis
Psoriasis is a chronic inflammatory skin disease characterized by erythematous (red) patches and plaques. In some patients, psoriasis may be associated with comorbidities such as arthritis, obesity, diabetes, cardiovascular diseases, hyperlipidemia, or depression. Psoriasis lesions can occur on the scalp and face, in addition to all other areas of the body, causing considerable physical discomfort and psychosocial trauma from the stigma surrounding appearance defects.
More than 90% of patients with psoriasis have what is called psoriasis vulgaris, which is characterized by plaques, and less than 5% have the other varieties: arthritic psoriasis, pustular psoriasis, and erythrodermic psoriasis. The most common treatments for mild to moderate plaque psoriasis are topical corticosteroids and vitamin D3 analogs.
E-Mail
IMAGE: The novel non-steroidal cream, benvitimod, can safely and effectively treat psoriasis over the long term without side-effects view more
Credit: Pexels
Psoriasis is a chronic inflammatory skin disease characterized by erythematous (red) patches and plaques. In some patients, psoriasis may be associated with comorbidities such as arthritis, obesity, diabetes, cardiovascular diseases, hyperlipidemia, or depression. Psoriasis lesions can occur on the scalp and face, in addition to all other areas of the body, causing considerable physical discomfort and psychosocial trauma from the stigma surrounding appearance defects.
More than 90% of patients with psoriasis have what is called psoriasis vulgaris, which is characterized by plaques, and less than 5% have the other varieties: arthritic psoriasis, pustular psoriasis, and erythrodermic psoriasis. The most common treatments for mild to moderate plaque psoriasis are topical corticosteroids and vitamin D3 analo
CHINA / IN-DEPTH
Frontline medical workers share unforgettable memories of a tumultuous year, express hope for a more normal 2021 By Lin Xiaoyi and Li Qiao Published: Dec 29, 2020 09:23 PM Updated: Dec 30, 2020 09:23 PM
Qin Chunyuan, head nurse of ICU in the Sino-French New City Branch of Wuhan Tongji Hospital, and her colleague are going to extract throat swabs for critically ill patients on February 8. Photo: Cui Meng/GT
Editor s Note:
The chaotic and eventful 2020 is finally nearing its end. But the heavy memories of the year, which saw an enormous loss of precious lives due to the COVID-19 pandemic, will stay with us forever. Despite struggles and hardship, we also witnessed signs of hope, elevated humanity and selfless sacrifices from our frontline medical workers around the world in the battle against the merciless COVID-19 pandemic. What touched these medical workers most in 2020? What are their expectations for 2021? Global Times reporters Lin Xiaoyi and Li Qiao tal