CT RECIST response, as measured by the change of tumor diameter, can accurately reflect objective response rate for advanced NSCLC patients. However, there exists obvious discordant between CT RECIST response and prognostic indicators. Thus, our study aimed to identify a new CT RECIST response indicator at the early treatment stage to reflect the prognosis more accurately.We studied 916 tumor lesions obtained through deep learning and found that the shape of the lesions was irregular.

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[1] Fan Xu, "CT-RECIST-Response-Indicator", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/r36m-s498. Accessed: Jul. 17, 2024.
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doi = {10.21227/r36m-s498},
url = {http://dx.doi.org/10.21227/r36m-s498},
author = {Fan Xu },
publisher = {IEEE Dataport},
title = {CT-RECIST-Response-Indicator},
year = {2024} }
TY - DATA
T1 - CT-RECIST-Response-Indicator
AU - Fan Xu
PY - 2024
PB - IEEE Dataport
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Fan Xu. (2024). CT-RECIST-Response-Indicator. IEEE Dataport. http://dx.doi.org/10.21227/r36m-s498
Fan Xu, 2024. CT-RECIST-Response-Indicator. Available at: http://dx.doi.org/10.21227/r36m-s498.
Fan Xu. (2024). "CT-RECIST-Response-Indicator." Web.
1. Fan Xu. CT-RECIST-Response-Indicator [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/r36m-s498
Fan Xu. "CT-RECIST-Response-Indicator." doi: 10.21227/r36m-s498