PMID- 35984515
OWN - NLM
STAT- MEDLINE
DCOM- 20230205
LR  - 20230205
IS  - 1432-1084 (Electronic)
IS  - 0938-7994 (Linking)
VI  - 33
IP  - 2
DP  - 2023 Feb
TI  - Radiomics analysis of CT imaging improves preoperative prediction of cervical 
      lymph node metastasis in laryngeal squamous cell carcinoma.
PG  - 1121-1131
LID - 10.1007/s00330-022-09051-4 [doi]
AB  - OBJECTIVES: To investigate the role of CT radiomics for preoperative prediction 
      of lymph node metastasis (LNM) in laryngeal squamous cell carcinoma (LSCC). 
      METHODS: LSCC patients who received open surgery and lymphadenectomy were 
      enrolled and randomized into primary and validation cohorts at a ratio of 7:3 
      (325 vs. 139). In the primary cohort, we extracted radiomics features from whole 
      intratumoral regions on venous-phase CT images and constructed a radiomics 
      signature by least absolute shrinkage and selection operator (LASSO) regression. 
      A radiomics model incorporating the radiomic signature and independent clinical 
      factors was established via multivariable logistic regression and presented as a 
      nomogram. Nomogram performance was compared with a clinical model and traditional 
      CT report with respect to its discrimination and clinical usefulness. The 
      radiomics nomogram was internally tested in an independent validation cohort. 
      RESULTS: The radiomics signature, composed of 9 stable features, was associated 
      with LNM in both the primary and validation cohorts (both p < .001). A radiomics 
      model incorporating independent predictors of LNM (the radiomics signature, tumor 
      subsite, and CT report) showed significantly better discrimination of nodal 
      status than either the clinical model or the CT report in the primary cohort (AUC 
      0.91 vs. 0.84 vs. 0.68) and validation cohort (AUC 0.89 vs. 0.83 vs. 0.70). 
      Decision curve analysis confirmed that the radiomics nomogram was superior to the 
      clinical model and traditional CT report. CONCLUSIONS: The CT-based radiomics 
      nomogram may improve preoperative identification of nodal status and help in 
      clinical decision-making in LSCC. KEY POINTS: * The radiomics model showed 
      favorable performance for predicting LN metastasis in LSCC patients. * The 
      radiomics model may help in clinical decision-making and define patient subsets 
      benefiting most from neck treatment.
CI  - (c) 2022. The Author(s), under exclusive licence to European Society of Radiology.
FAU - Zhao, Xingguo
AU  - Zhao X
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Li, Wenming
AU  - Li W
AD  - Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key 
      Laboratory of Otorhinolaryngology (Shandong University), Jinan, 250012, Shandong, 
      China.
FAU - Zhang, Jiulou
AU  - Zhang J
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Tian, Shui
AU  - Tian S
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Zhou, Yang
AU  - Zhou Y
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Xu, Xiaoquan
AU  - Xu X
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Hu, Hao
AU  - Hu H
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China.
FAU - Lei, Dapeng
AU  - Lei D
AD  - Department of Otorhinolaryngology, Qilu Hospital of Shandong University, NHC Key 
      Laboratory of Otorhinolaryngology (Shandong University), Jinan, 250012, Shandong, 
      China. leidapeng@sdu.edu.cn.
FAU - Wu, Feiyun
AU  - Wu F
AUID- ORCID: 0000-0002-0343-0458
AD  - Department of Radiology, The First Affiliated Hospital of Nanjing Medical 
      University, Nanjing, 210029, China. wfy_njmu@163.com.
LA  - eng
GR  - JSSCBS20211483/High-Level Innovation and Entrepreneurship Talent Introduction 
      Plan of Jiangsu Province/
PT  - Journal Article
PT  - Randomized Controlled Trial
DEP - 20220819
PL  - Germany
TA  - Eur Radiol
JT  - European radiology
JID - 9114774
SB  - IM
MH  - Humans
MH  - *Head and Neck Neoplasms
MH  - Lymph Nodes/diagnostic imaging
MH  - Lymphatic Metastasis
MH  - *Nomograms
MH  - Retrospective Studies
MH  - Squamous Cell Carcinoma of Head and Neck/diagnostic imaging/surgery
MH  - Tomography, X-Ray Computed/methods
OTO - NOTNLM
OT  - Clinical decision-making
OT  - Lymphatic metastasis
OT  - Nomograms
OT  - Squamous cell carcinoma of head and neck
EDAT- 2022/08/20 06:00
MHDA- 2023/02/03 06:00
CRDT- 2022/08/19 11:16
PHST- 2022/02/01 00:00 [received]
PHST- 2022/07/23 00:00 [accepted]
PHST- 2022/07/16 00:00 [revised]
PHST- 2022/08/20 06:00 [pubmed]
PHST- 2023/02/03 06:00 [medline]
PHST- 2022/08/19 11:16 [entrez]
AID - 10.1007/s00330-022-09051-4 [pii]
AID - 10.1007/s00330-022-09051-4 [doi]
PST - ppublish
SO  - Eur Radiol. 2023 Feb;33(2):1121-1131. doi: 10.1007/s00330-022-09051-4. Epub 2022 
      Aug 19.