View : 421 Download: 0

Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and F-18-FDG PET/CT

Title
Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and F-18-FDG PET/CT
Authors
Cho, Hee JeongJung, Sung-HoonJo, Jae-CheolLee, Yoo JinYoon, Sang EunPark, Sung-SooKim, Do YoungShin, Ho-JinMun, Yeung-ChulYi, Jun HoKim, Hyo JungKim, Da JungLee, Ho SupBae, Sung HwaHong, Chae MoonJeong, Shin YoungMin, Jung-JoonSohn, Sang KyunMin, Chang-KiKim, KihyunLee, Je-JungMoon, Joon Ho|Korean Multiple Myeloma Workin
Ewha Authors
문영철
SCOPUS Author ID
문영철scopus
Issue Date
2021
Journal Title
BLOOD CANCER JOURNAL
ISSN
2044-5385JCR Link
Citation
BLOOD CANCER JOURNAL vol. 11, no. 12
Publisher
SPRINGERNATURE
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
In multiple myeloma (MM), a high number of focal lesions (FL) detected using positron emission tomography/computed tomography (PET/CT) was found to be associated with adverse prognosis. To design a new risk stratification system that combines the Revised International Staging System (R-ISS) with FL, we analyzed the data of 380 patients with newly diagnosed MM (NDMM) who underwent F-18-fluorodeoxyglucose (F-18-FDG) PET/CT upon diagnosis. The K-adaptive partitioning algorithm was adopted to define subgroups with homogeneous survival. The combined R-ISS with PET/CT classified NDMM patients into four groups: R-ISS/PET stage I (n = 31; R-ISS I with FL <= 3), stage II (n = 156; R-ISS I with FL > 3 and R-ISS II with FL <= 3), stage III (n = 162; R-ISS II with FL > 3 and R-ISS III with FL <= 3), and stage IV (n = 31; R-ISS III with FL > 3). The 2-year overall survival rates for stages I, II, III, and IV were 96.7%, 89.8%, 74.7%, and 50.3%. The 2-year progression-free survival rates were 84.1%, 64.7%, 40.8%, and 17.1%, respectively. The new R-ISS/PET was successfully validated in an external cohort. This new system had a remarkable prognostic power for estimating the survival outcomes of patients with NDMM. This system helps discriminate patients with a good prognosis from those with a poor prognosis more precisely.
DOI
10.1038/s41408-021-00577-2
Appears in Collections:
의과대학 > 의학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE