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Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning.
Yang, Yanyu; Fang, Shaobo; Tao, Juan; Liu, Yajie; Wang, Chunjie; Yin, Zhenzhen; Chen, Bo; Duan, Zhiqing; Liu, Wenyu; Wang, Shaowu.
Afiliação
  • Yang Y; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Fang S; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Tao J; Department of Pathology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Liu Y; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Wang C; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Yin Z; Department of Radiology, Suzhou Hospital of Anhui Medical University, Suzhou, Anhui, People's Republic of China.
  • Chen B; Department of Nuclear Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Duan Z; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Liu W; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
  • Wang S; Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, Liaoning, People's Republic of China.
J Magn Reson Imaging ; 57(5): 1406-1413, 2023 05.
Article em En | MEDLINE | ID: mdl-35864603
BACKGROUND: Diffusion-weighted imaging (DWI) has demonstrated great potential in predicting the expression of tumor cell proliferation and apoptosis indexes. PURPOSE: To evaluate the impact of four region of interest (ROI) methods on interobserver variability and apparent diffusion coefficient (ADC) values and to examine the correlation of ADC values with Ki-67, Bcl-2, and P53 labeling indexes (LIs) in a murine model of fibrosarcoma. STUDY TYPE: Prospective, animal model. ANIMAL MODEL: A total of 22 female BALB/c mice bearing intramuscular fibrosarcoma xenografts. FIELD STRENGTH/SEQUENCE: A 3.0 T/T1-weighted fast spin-echo (FSE), T2-weighted fast relaxation fast spin-echo, and DWI PROPELLER FSE sequences. ASSESSMENT: Four radiologists measured ADC values using four ROI methods (oval, freehand, small-sample, and whole-volume). Immunohistochemical assessment of Ki-67, Bcl-2, and P53 LIs was performed. STATISTICAL TESTS: Interclass correlation coefficient (ICC), one-way analysis of variance followed by LSD-t post hoc analysis, and Pearson correlation test were performed. The statistical threshold was defined as a P-value of <0.05. RESULTS: All ROI methods for ADC measurements showed excellent interobserver agreement (ICC range, 0.832-0.986). The ADC values demonstrated significant differences among the four ROI methods. The ADC values for oval, freehand, small-sample, and whole-volume ROI methods showed a moderately negative correlation with Ki-67 (r = -0.623; r = -0.629; r = -0.642, and r = -0.431) and Bcl-2 (r = -0.590; r = -0.597; r = -0.659, and r = -0.425) LIs, but no correlation with P53 LI (r = 0.364, P = 0.104; r = 0.350, P = 0.120; r = 0.379, P = 0.091; r = 0.390, P = 0.080). DATA CONCLUSION: The ADC value can be used to evaluate cell proliferation and apoptosis indexes in a murine model of fibrosarcoma, employing the small-sample ROI as a reliable method. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 3.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína Supressora de Tumor p53 / Fibrossarcoma Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteína Supressora de Tumor p53 / Fibrossarcoma Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article