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Predicting neo-adjuvant chemotherapy response and progression-free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F-18 FDG PET/CT and diffusion-weighted MR imaging

Title
Predicting neo-adjuvant chemotherapy response and progression-free survival of locally advanced breast cancer using textural features of intratumoral heterogeneity on F-18 FDG PET/CT and diffusion-weighted MR imaging
Authors
Yoon H.-J.Kim Y.Chung J.Kim B.S.
Ewha Authors
김범산김예미정진윤혜전
SCOPUS Author ID
김범산scopus; 김예미scopus; 정진scopus; 윤혜전scopus
Issue Date
2019
Journal Title
Breast Journal
ISSN
1075-122XJCR Link
Citation
Breast Journal vol. 25, no. 3, pp. 373 - 380
Keywords
diffusion magnetic resonance imaginglocally advanced breast cancerneo-adjuvant chemotherapypositron emission tomographytexture analysis
Publisher
Blackwell Publishing Inc.
Indexed
SCOPUS; SCIE scopus
Document Type
Article
Abstract
Predicting response to neo-adjuvant chemotherapy (NAC) and survival in locally advanced breast cancer (LABC) is important. This study investigated the prognostic value of tumor heterogeneity evaluated with textural analysis through F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) and diffusion-weighted imaging (DWI). We enrolled 83 patients with LABC who had completed NAC and curative surgery. Tumor texture indices from pretreatment FDG PET and DWI were extracted from histogram analysis and 7 different parent matrices: co-occurrence matrix, the voxel-alignment matrix, neighborhood intensity difference matrix, intensity size-zone matrix (ISZM), normalized gray-level co-occurrence matrix (NGLCM), neighboring gray-level dependence matrix (NGLDM), and texture spectrum matrix. The predictive values of textural features were tested regarding both pathologic NAC response and progression-free survival. Among 83 patients, 46 were pathologic responders, while 37 were nonresponders. The PET texture indices from 7 parent matrices, DWI texture indices from histogram, and 1 parent matrix (NGLCM) showed significant differences according to NAC response. On multivariable analysis, number nonuniformity of PET extracted from the NGLDM was an independent predictor of pathologic response (P =.009). During a median follow-up period of 17.3 months, 14 patients experienced recurrence. High-intensity zone emphasis (HIZE) and high-intensity short-zone emphasis (HISZE) from PET extracted from ISZM were significant textural predictors (P =.011 and P =.033). On Cox regression analysis, only HIZE was a significant predictor of recurrence (P =.027), while HISZE showed borderline significance (P =.107). Tumor texture indices are useful for NAC response prediction in LABC. Moreover, PET texture indices can help to predict disease recurrence. © 2018 Wiley Periodicals, Inc.
DOI
10.1111/tbj.13032
Appears in Collections:
의과대학 > 의학과 > Journal papers
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