Baseline MRI-Radiomics Can Predict Overall Survival in Non-Endemic EBV-Related Nasopharyngeal Carcinoma Patients.

Published on Oct 13, 2020in Cancers6.126
· DOI :10.3390/CANCERS12102958
Marco Bologna5
Estimated H-index: 5
(Polytechnic University of Milan),
Valentina D. A. Corino15
Estimated H-index: 15
(Polytechnic University of Milan)
+ 18 AuthorsEster Orlandi22
Estimated H-index: 22
Source
Abstract
References42
Newest
#1Lianzhen Zhong (CAS: Chinese Academy of Sciences)H-Index: 4
#2Xue-Liang Fang (SYSU: Sun Yat-sen University)H-Index: 1
Last. Jie TianH-Index: 72
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Abstract Purpose To estimate the prognostic value of deep learning (DL) magnetic resonance (MR)-based radiomics for stage T3N1M0 nasopharyngeal carcinoma (NPC) patients receiving induction chemotherapy (ICT) prior to concurrent chemoradiotherapy (CCRT). Methods A total of 638 stage T3N1M0 NPC patients (training cohort: n = 447; test cohort: n = 191) were enrolled and underwent MRI scans before receiving ICT+CCRT. From the pretreatment MR images, DL-based radiomic signatures were developed to pre...
2 CitationsSource
2 CitationsSource
Jul 1, 2020 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Marco Bologna (Polytechnic University of Milan)H-Index: 5
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Luca T. Mainardi (Polytechnic University of Milan)H-Index: 35
view all 16 authors...
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#1Shin-Hyung Park (KNU: Kyungpook National University)H-Index: 6
#2Myong Hun Hahm (KNU: Kyungpook National University)H-Index: 1
Last. Jae-Chul Kim (KNU: Kyungpook National University)H-Index: 7
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BACKGROUND: Current chemoradiation regimens for locally advanced cervical cancer are fairly uniform despite a profound diversity of treatment response and recurrence patterns. The wide range of treatment responses and prognoses to standardized concurrent chemoradiation highlights the need for a reliable tool to predict treatment outcomes. We investigated pretreatment magnetic resonance (MR) imaging features of primary tumor and involved lymph node for predicting clinical outcome in cervical canc...
1 CitationsSource
#1Yifei Liu (SYSU: Sun Yat-sen University)H-Index: 3
#2Shenghuan Chen (Guangzhou Medical University)H-Index: 1
Last. Lizhi Liu (SYSU: Sun Yat-sen University)H-Index: 11
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Objectives This study aimed to evaluate the value of nodal grouping (NG), defined as the presence of at least three contiguous lymph nodes (LNs) within one LN region, in staging and management of patients with non-metastatic nasopharyngeal carcinoma (NPC).
4 CitationsSource
#1Lina ZhaoH-Index: 9
#2Jie Gong (Xidian University)H-Index: 3
Last. Mei ShiH-Index: 10
view all 10 authors...
Objectives To establish and validate a radiomics nomogram for prediction of induction chemotherapy (IC) response and survival in nasopharyngeal carcinoma (NPC) patients.
15 CitationsSource
#1Marco Bologna (Polytechnic University of Milan)H-Index: 5
#2Valentina D. A. Corino (Polytechnic University of Milan)H-Index: 15
Last. Luca T. Mainardi (Polytechnic University of Milan)H-Index: 35
view all 3 authors...
PURPOSE: The purpose of the paper was to use a virtual phantom to identify a set of radiomic features from T1-weighted and T2-weighted magnetic resonance imaging (MRI) of the brain which is stable to variations in image acquisition parameters and to evaluate the effect of image preprocessing on radiomic features stability. METHODS: Stability to different sources of variability (time of repetition and echo, voxel size, random noise and intensity non-uniformity) was evaluated for both T1-weighted ...
11 CitationsSource
#1Marta Bogowicz (UZH: University of Zurich)H-Index: 11
#2Stephanie Tanadini-Lang (UZH: University of Zurich)H-Index: 14
Last. Oliver Riesterer (UZH: University of Zurich)H-Index: 23
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Loco-regional control (LRC) is a major clinical endpoint after definitive radiochemotherapy (RCT) of head and neck cancer (HNC). Radiomics has been shown a promising biomarker in cancer research, however closer related to primary tumor control than composite endpoints. Radiomics studies often focus on the analysis of primary tumor (PT). We hypothesize that the combination of PT and lymph nodes (LN) radiomics better predicts LRC in HNC treated with RCT. Radiomics analysis was performed in CT imag...
13 CitationsSource
#1Xue Ming (Fudan University)H-Index: 1
#2Ronald Wihal Oei (Fudan University)H-Index: 5
Last. Jiazhou Wang (Fudan University)H-Index: 12
view all 10 authors...
This study aimed to develop prognosis signatures through a radiomics analysis for patients with nasopharyngeal carcinoma (NPC) by their pretreatment diagnosis magnetic resonance imaging (MRI). A total of 208 radiomics features were extracted for each patient from a database of 303 patients. The patients were split into the training and validation cohorts according to their pretreatment diagnosis date. The radiomics feature analysis consisted of cluster analysis and prognosis model analysis for d...
13 CitationsSource
#1Lu-Lu Zhang (SYSU: Sun Yat-sen University)H-Index: 7
#2Meng-Yao Huang (SYSU: Sun Yat-sen University)H-Index: 1
Last. Ying Sun (SYSU: Sun Yat-sen University)H-Index: 43
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Abstract Background To identify a radiomics signature to predict local recurrence in patients with non-metastatic T4 nasopharyngeal carcinoma (NPC). Methods A total of 737 patients from Sun Yat-sen University Cancer Center (training cohort: n = 360; internal validation cohort: n = 120) and Wuzhou Red Cross Hospital (external validation cohort: n = 257) underwent feature extraction from the largest axial area of the tumor on pretreatment magnetic resonance imaging scans. Feature selection was bas...
15 CitationsSource
Cited By1
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#1Gaia Spadarella (University of Naples Federico II)H-Index: 8
Last. Renato Cuocolo (University of Naples Federico II)H-Index: 13
view all 6 authors...
Abstract Background MRI based radiomics has the potential to better define tumor biology compared to qualitative MRI assessment and support decisions in patients affected by nasopharyngeal carcinoma. Aim of this review was to systematically evaluate the methodological quality of studies using MRI- radiomics for nasopharyngeal cancer patient evaluation. Methods A systematic search was performed in PUBMED, WEB OF SCIENCE and SCOPUS using “MRI, magnetic resonance imaging, radiomic, texture analysis...
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