scholarly journals A Convolutional Neural Network-Based Intelligent Medical System with Sensors for Assistive Diagnosis and Decision-Making in Non-Small Cell Lung Cancer

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7996
Author(s):  
Xiangbing Zhan ◽  
Huiyun Long ◽  
Fangfang Gou ◽  
Xun Duan ◽  
Guangqian Kong ◽  
...  

In many regions of the world, early diagnosis of non-small cell lung cancer (NSCLC) is a major challenge due to the large population and lack of medical resources, which is difficult toeffectively address via limited physician manpower alone. Therefore, we developed a convolutional neural network (CNN)-based assisted diagnosis and decision-making intelligent medical system with sensors. This system analyzes NSCLC patients’ medical records using sensors to assist staging a diagnosis and provides recommended treatment plans to physicians. To address the problem of unbalanced case samples across pathological stages, we used transfer learning and dynamic sampling techniques to reconstruct and iteratively train the model to improve the accuracy of the prediction system. In this paper, all data for training and testing the system were obtained from the medical records of 2,789,675 patients with NSCLC, which were recorded in three hospitals in China over a five-year period. When the number of case samples reached 8000, the system achieved an accuracy rate of 0.84, which is already close to that of the doctors (accuracy: 0.86). The experimental results proved that the system can quickly and accurately analyze patient data and provide decision information support for physicians.

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 171903-171911
Author(s):  
Huanze Chen ◽  
Wangping Xiong ◽  
Jia Wu ◽  
Qinghe Zhuang ◽  
Genghua Yu

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Or ◽  
B. Liu ◽  
J. Lam ◽  
S. Vinod ◽  
W. Xuan ◽  
...  

AbstractTreatment-related toxicity is an important component in non-small cell lung cancer (NSCLC) management decision-making. Our aim was to evaluate and compare the toxicity rates of curative and palliative radiotherapy with and without chemotherapy. This meta-analysis provides better quantitative estimates of the toxicities compared to individual trials. A systematic review of randomised trials with > 50 unresectable NSCLC patients, treated with curative or palliative conventional radiotherapy (RT) with or without chemotherapy. Data was extracted for oesophagitis, pneumonitis, cardiac events, pulmonary fibrosis, myelopathy and neutropenia by any grade, grade ≥ 3 and treatment-related deaths. Mantel–Haenszel fixed-effect method was used to obtain pooled risk ratio. Forty-nine trials with 8609 evaluable patients were included. There was significantly less grade ≥ 3 acute oesophagitis (6.4 vs 22.2%, p < 0.0001) and any grade oesophagitis (70.4 vs 79.0%, p = 0.04) for sequential CRT compared to concurrent CRT, with no difference in pneumonitis (grade ≥ 3 or any grade), neutropenia (grade ≥ 3), cardiac events (grade ≥ 3) or treatment-related deaths. Although the rate of toxicity increased with intensification of treatment with RT, the only significant difference between treatment regimens was the rate of oesophagitis between the use of concurrent and sequential CRT. This can aid clinicians in radiotherapy decision making for NSCLC.


2020 ◽  
Vol 149 ◽  
pp. 84-88 ◽  
Author(s):  
P.M. Putora ◽  
G.F. Fischer ◽  
M. Früh ◽  
R. Califano ◽  
C. Faivre-Finn ◽  
...  

2016 ◽  
Vol 100 (6) ◽  
pp. 672-684 ◽  
Author(s):  
GK Raju ◽  
K Gurumurthi ◽  
R Domike ◽  
D Kazandjian ◽  
G Blumenthal ◽  
...  

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