Academic Radiology, Journal Year: 2022, Volume and Issue: 29(12), P. 1773 - 1782
Published: April 8, 2022
Language: Английский
Current Oncology, Journal Year: 2021, Volume and Issue: 28(4), P. 2351 - 2372
Published: June 25, 2021
Radiomics is an emerging translational field of medicine based on the extraction high-dimensional data from radiological images, with purpose to reach reliable models be applied into clinical practice for purposes diagnosis, prognosis and evaluation disease response treatment. We aim provide basic information radiomics radiologists clinicians who are focused breast cancer care, encouraging cooperation scientists mine a better application in practice. investigate workflow as well outlook challenges recent studies. Currently, has potential ability distinguish between benign malignant lesions, predict cancer's molecular subtypes, neoadjuvant chemotherapy lymph node metastases. Even though been used tumor diagnosis prognosis, it still research phase some need faced obtain translation. In this review, we discuss current limitations promises improvement further research.
Language: Английский
Citations
56
European Radiology, Journal Year: 2022, Volume and Issue: 32(6), P. 4079 - 4089
Published: Jan. 20, 2022
Language: Английский
Citations
45
Journal of Magnetic Resonance Imaging, Journal Year: 2023, Volume and Issue: 58(5), P. 1603 - 1614
Published: Feb. 10, 2023
Multiparametric MRI radiomics could distinguish human epidermal growth factor receptor 2 (HER2)-positive from HER2-negative breast cancers. However, its value for further distinguishing HER2-low cancers has not been investigated.To investigate whether multiparametric MRI-based can HER2-positive (task 1) and 2).Retrospective.Task 1: 310 operable cancer patients center 1 (97 213 HER2-negative); task 2: (108 105 HER2-zero); 59 (16 HER2-positive, 27 16 HER2-zero) external validation.A 3.0 T/T1-weighted contrast-enhanced imaging (T1CE), diffusion-weighted (DWI)-derived apparent diffusion coefficient (ADC).Patients in were assigned to a training internal validation cohort at 2:1 ratio. Intratumoral peritumoral features extracted T1CE ADC. After dimensionality reduction, the signatures (RS) of two tasks developed using (RS-T1CE), ADC (RS-ADC) alone + combination (RS-Com).Mann-Whitney U tests, least absolute shrinkage selection operator, receiver operating characteristic (ROC) curve, calibration decision curve analysis (DCA).For 1, RS-ADC yielded higher area under ROC (AUC) training, internal, 0.767/0.725/0.746 than RS-T1CE (AUC = 0.733/0.674/0.641). For 2, AUC 0.765/0.755/0.678 0.706/0.608/0.630). both RS-Com achieved best performance with 0.793/0.778/0.760 0.820/0.776/0.711, respectively, obtained clinical benefit DCA compared RS-ADC. The curves all RS demonstrated good fitness.Multiparametric noninvasively robustly cancers.3.Stage 2.
Language: Английский
Citations
30
Technology in Cancer Research & Treatment, Journal Year: 2020, Volume and Issue: 19
Published: Jan. 1, 2020
Breast cancer has been a worldwide burden of women’s health. Although concerns have raised for early diagnosis and timely treatment, the efforts are still needed precision medicine individualized treatment. Radiomics is new technology with immense potential to obtain mineable data provide rich information about prognosis breast cancer. In our study, we introduced workflow application radiomics as well its outlook challenges based on published studies. ability differentiate between malignant benign lesions, predict axillary lymph node status, molecular subtypes cancer, tumor response chemotherapy, survival outcomes. Our study aimed help clinicians radiologists know basic encourage cooperation scientists mine better in clinical practice.
Language: Английский
Citations
63
European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2020, Volume and Issue: 48(1), P. 217 - 230
Published: May 25, 2020
Language: Английский
Citations
59
Frontiers in Oncology, Journal Year: 2020, Volume and Issue: 10
Published: April 7, 2020
Objective: To explore a new predictive model of lymphatic vascular infiltration (LVI) in rectal cancer based on magnetic resonance (MR) and computed tomography (CT). Methods: A retrospective study was conducted 94 patients with histologically confirmed cancer, they were randomly divided into training cohort (n = 65) validation 29). All underwent MR CT examination within 2 weeks before treatment. On each slice the tumor, we delineated volume interest T2-weighted imaging, diffusion weighted enhanced images, respectively. total 1,188 radiological features extracted from patient. Then, used student t-test or Mann-Whitney U-test, Spearman's rank correlation least absolute shrinkage selection operator (LASSO) algorithm to select strongest establish single multimodal logic for predicting LVI. Receiver operating characteristic (ROC) curves calibration plotted determine how well explored LVI prediction performance cohorts. Results: An optimal multi-mode radiology nomogram estimation established, which had significant power (AUC, 0.884; 95% CI, 0.803-0.964) 0.876; 0.721-1.000). Calibration curve decision analysis showed that radiomics provides greater clinical benefits. Conclusion: Multimodal (MR/CT) models can serve as an effective visual prognostic tool cancer. It demonstrated great potential preoperative improve treatment decisions.
Language: Английский
Citations
58
Molecular Oncology, Journal Year: 2021, Volume and Issue: 15(9), P. 2466 - 2479
Published: May 31, 2021
Sentinel lymph node (LN) biopsy is currently the standard procedure for clinical LN‐negative breast cancer (BC) patients but it prone to false‐negative results and complications. Thus, an accurate noninvasive approach LN staging urgently needed in practice. Here, circulating exosomal microRNA (miRNA) expression profiles peripheral blood from BC age‐matched healthy women were obtained analyzed. We identified miRNA, miR‐363‐5p , that was significantly downregulated exosomes plasma of with metastasis which exhibited a consistent decreasing trend tissue samples multiple independent datasets. Plasma achieved high diagnostic performance distinguishing LN‐positive patients. The level correlated improved overall survival. Functional assays demonstrated modulates platelet‐derived growth factor (PDGF) signaling activity by targeting PDGFB inhibit cell proliferation migration. Our study revealed, first time, plays tumor suppressor role has potential prognosis prediction BC.
Language: Английский
Citations
51
Diagnostics, Journal Year: 2021, Volume and Issue: 11(10), P. 1796 - 1796
Published: Sept. 29, 2021
The evaluation of the efficacy different therapies is paramount importance for patients and clinicians in oncology, it usually possible by performing imaging investigations that are interpreted, taking consideration response criteria. In last decade, texture analysis (TA) has been developed order to help radiologist quantify identify parameters related tumor heterogeneity, which cannot be appreciated naked eye, can correlated with endpoints, including cancer prognosis. aim this work analyze impact prediction prognosis stratification into pathologies (lung cancer, breast gastric hepatic rectal cancer). Key references were derived from a PubMed query. Hand searching clinicaltrials.gov also used. This paper contains narrative report critical discussion radiomics approaches fields diseases.
Language: Английский
Citations
41
Abdominal Radiology, Journal Year: 2022, Volume and Issue: 47(4), P. 1209 - 1222
Published: Jan. 28, 2022
Language: Английский
Citations
31
European Radiology, Journal Year: 2023, Volume and Issue: 34(1), P. 136 - 148
Published: July 31, 2023
Language: Английский
Citations
18