MRI T2-weighted sequences-based texture analysis (TA) as a predictor of response to neoadjuvant chemo-radiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC)

被引:0
|
作者
Filippo Crimì
Giulia Capelli
Gaya Spolverato
Quoc Riccardo Bao
Anna Florio
Sebastiano Milite Rossi
Diego Cecchin
Laura Albertoni
Cristina Campi
Salvatore Pucciarelli
Roberto Stramare
机构
[1] University Hospital of Padova,Department of Medicine
[2] University Hospital of Padova,DIMED, Institute of Radiology
[3] University Hospital of Padova,Clinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG)
[4] University Hospital of Padova,Nuclear Medicine Unit, Department of Medicine
[5] University of Padova,DIMED
来源
La radiologia medica | 2020年 / 125卷
关键词
Locally advanced rectal cancer; Neoadjuvant chemo-radiotherapy; Magnetic resonance imaging; Texture analysis; Clinical response; Pathological response;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1216 / 1224
页数:8
相关论文
共 42 条
  • [31] Utility of texture analysis on T2-weighted MR for differentiating tumor deposits from mesorectal nodes in rectal cancer patients, in a retrospective cohort
    Isha D. Atre
    Kulyada Eurboonyanun
    Yoshifumi Noda
    Anushri Parakh
    Aileen O’Shea
    Rita Maria Lahoud
    Naomi M. Sell
    Hiroko Kunitake
    Mukesh G. Harisinghani
    Abdominal Radiology, 2021, 46 : 459 - 468
  • [32] Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer
    Teruel, Jose R.
    Heldahl, Mariann G.
    Goa, Pal E.
    Pickles, Martin
    Lundgren, Steinar
    Bathen, Tone F.
    Gibbs, Peter
    NMR IN BIOMEDICINE, 2014, 27 (08) : 887 - 896
  • [33] Texture Analysis Based on Sagittal Fat-Suppression and Transverse T2-Weighted Magnetic Resonance Imaging for Determining Local Invasion of Rectal Cancer
    Lu, H. C.
    Wang, F.
    Yin, J. D.
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [34] Machine learning-based response assessment in patients with rectal cancer after neoadjuvant chemoradiotherapy: radiomics analysis for assessing tumor regression grade using T2-weighted magnetic resonance images
    Lee, Yong Dae
    Kim, Hyug-Gi
    Seo, Miri
    Moon, Sung Kyoung
    Park, Seong Jin
    You, Myung-Won
    INTERNATIONAL JOURNAL OF COLORECTAL DISEASE, 2024, 39 (01)
  • [35] Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI
    Kocak, Burak
    Durmaz, Emine Sebnem
    Kadioglu, Pinar
    Korkmaz, Ozge Polat
    Comunoglu, Nil
    Tanriover, Necmettin
    Kocer, Naci
    Islak, Civan
    Kizilkilic, Osman
    EUROPEAN RADIOLOGY, 2019, 29 (06) : 2731 - 2739
  • [36] Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI
    Burak Kocak
    Emine Sebnem Durmaz
    Pinar Kadioglu
    Ozge Polat Korkmaz
    Nil Comunoglu
    Necmettin Tanriover
    Naci Kocer
    Civan Islak
    Osman Kizilkilic
    European Radiology, 2019, 29 : 2731 - 2739
  • [37] Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps
    Azamat, Sena
    Karaman, Sule
    Azamat, Ibrahim Fethi
    Ertas, Gokhan
    Kulle, Cemil Burak
    Keskin, Metin
    Sakin, Rabia Nergiz Dagoglu
    Bakir, Baris
    Oral, Ethem Nezih
    Kartal, Merve Gulbiz
    CURRENT MEDICAL IMAGING, 2022, 18 (10) : 1061 - 1069
  • [38] Application of Texture Analysis Based on Sagittal Fat-Suppression and Oblique Axial T2-Weighted Magnetic Resonance Imaging to Identify Lymph Node Invasion Status of Rectal Cancer
    Song, Lirong
    Yin, Jiandong
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [39] A T2-weighted MRI-based radiomic signature for disease-free survival in locally advanced cervical cancer following chemoradiation: An international, multicentre study
    Marsilla, Joseph
    Weiss, Jessica
    Ye, Xiang Y.
    Welch, Mattea
    Milosevic, Michael
    Lyng, Heidi
    Hompland, Tord
    Bruheim, Kjersti
    Tadic, Tony
    Haibe-Kains, Benjamin
    Han, Kathy
    RADIOTHERAPY AND ONCOLOGY, 2024, 199
  • [40] Down-staging depth score to predict outcomes in locally advanced rectal cancer achieving ypl stage after neoadjuvant chemo-radiotherapy versus de novo stage pl cohort:A propensity score-matched analysis
    Ning Li
    Jing Jin
    Jing Yu
    Shuai Li
    Yuan Tang
    Hua Ren
    Wenyang Liu
    Shulian Wang
    Yueping Liu
    Yongwen Song
    Hui Fang
    Zihao Yu
    Yexiong Li
    Chinese Journal of Cancer Research, 2018, 30 (03) : 373 - 381