Page 44 - 《南京医科大学学报(自然科学版)》2025年第9期
P. 44
第45卷第9期
·1256 · 南 京 医 科 大 学 学 报 2025年9月
[10]ZWANENBURG A,VALLIÈRES M,ABDALAH M A,et prediction of cervical lymph node metastasis in esopha⁃
al. The image biomarker standardization initiative:stan⁃ geal squamous cell carcinoma[J]. Cancer Imaging ,2024,
dardized quantitative radiomics for high⁃throughput image⁃ 24(1):153
based phenotyping[J]. Radiology,2020,295(2):328-338 [21]ZHANG C,SHI Z,KALENDRALIS P,et al. Prediction of
[11]QI W X,LI S,XIAO J,et al. A machine learning approach lymph node metastases using pre ⁃ treatment PET ra⁃
18
using F ⁃ FDG PET and enhanced CT scan ⁃ based ra⁃ diomics of the primary tumour in esophageal adenocarci⁃
diomics combined with clinical model to predict pathologi⁃ noma:an external validation study[J]. Br J Radiol,2021,
cal complete response in ESCC patients after neoadjuvant 94(1118):20201042
chemoradiotherapy and anti⁃PD⁃1 inhibitors[J]. Front Im⁃ [22]JIANG C,CHEN Y,ZHU Y,et al. Systematic review and
18
munol,2024,15:1351750 meta⁃analysis of the accuracy of F⁃FDG PET/CT for de⁃
[12]RISHI A,ZHANG G G,YUAN Z,et al. Pretreatment CT tection of regional lymph node metastasis in esophageal
18
and F⁃FDG PET⁃based radiomic model predicting patho⁃ squamous cell carcinoma[J]. J Thorac Dis,2018,10
logical complete response and loco⁃regional control follow⁃ (11):6066-6076
ing neoadjuvant chemoradiation in oesophageal cancer[J]. [23]REN S,BEECHE C A,IYER K,et al. Graphical modeling
J Med Imaging Radiat Oncol,2021,65(1):102-111 of causal factors associated with the postoperative surviv⁃
[13]WANG D,ZHANG X,LIU H,et al. Assessing dynamic al of esophageal cancer subjects[J]. Med Phys,2024,51
metabolic heterogeneity in non⁃small cell lung cancer pa⁃ (3):1997-2006
18
tients via ultra⁃high sensitivity total⁃body F⁃FDG PET/ [24]EYCK B M,VAN LANSCHOT J J B,HULSHOF M C C
18
CT imaging:quantitative analysis of F ⁃ FDG uptake in M,et al. Ten ⁃ year outcome of neoadjuvant chemoradio⁃
primary tumors and metastatic lymph nodes[J]. Eur J Nu⁃ therapy plus surgery for esophageal cancer:the random⁃
cl Med Mol Imaging,2022,49(13):4692-4704 ized controlled CROSS trial[J]. J Clin Oncol ,2021,39
[14]VAN VELDEN F H P,KRAMER G M,FRINGS V,et al. (18):1995-2004
Repeatability of radiomic features in non⁃small⁃cell lung [25]LI B,CHEN H. The best surgery should be applied for lo⁃
18
cancer F⁃FDG⁃PET/CT studies:impact of reconstruction cally advanced esophageal cancer[J]. J Clin Oncol,2021,
and delineation[J]. Mol Imaging Biol,2016,18(5):788- 39(28):3189-3190
18
795 [26]DEANTONIO L,GARO M L,PAONE G,et al. F⁃FDG
[15]JAYAPRAKASAM V S,GIBBS P,GANGAI N,et al. Can PET radiomics as predictor of treatment response in oe⁃
18
F⁃FDG PET/CT radiomics features predict clinical out⁃ sophageal cancer :a systematic review and meta⁃analy⁃
comes in patients with locally advanced esophageal squa⁃ sis[J]. Front Oncol,2022,12:861638
18
mous cell carcinoma?[J]. Cancers,2022,14(12):3035 [27]SIMONI N,ROSSI G,BENETTI G,et al. F⁃FDG PET/
[16]LEI X,CAO Z,WU Y,et al. Preoperative prediction of CT metrics are correlated to the pathological response in
clinical and pathological stages for patients with esopha⁃ esophageal cancer patients treated with induction chemo⁃
geal cancer using PET/CT radiomics[J]. Insights Imag⁃ therapy followed by neoadjuvant chemo⁃radiotherapy[J].
ing,2023,14(1):174 Front Oncol,2020,10:599907
[17]O’SHEA R J,ROOKYARD C,WITHEY S,et al. Ra⁃ [28]LI Y,BECK M,PÄßLER T,et al. A FDG⁃PET radiomics
diomic assessment of oesophageal adenocarcinoma:a criti⁃ signature detects esophageal squamous cell carcinoma pa⁃
18
cal review of F⁃FDG PET/CT,PET/MRI and CT[J]. In⁃ tients who do not benefit from chemoradiation[J]. Sci
sights Imaging,2022,13(1):104 Rep,2020,10(1):17671
[18]TANAKA K,FUJITA T,NAKAJIMA Y,et al. Validation [29]EIFER M,PETERS⁃FOUNSHTEIN G,YOEL L C,et al.
of the cutoff values for the number of metastatic lymph The role of FDG PET/CT radiomics in the prediction of
nodes for esophageal cancer staging:a multi⁃institutional pathological response to neoadjuvant treatment in pa⁃
analysis of 655 patients in Japan[J]. Esophagus. 2024,21 tients with esophageal cancer[J]. Rep Pract Oncol Radio⁃
(4):464-471 ther,2024;29(2):211-218
[19]WANG D,LIU X,WANG W,et al. The role of the meta⁃ [30]MISHRA A,RAVINA M,KOTE R,et al. Role of textural
18 18
bolic parameters of F⁃FDG pet/ct in patients with locally analysis of pretreatment F fluorodeoxyglucose positron
advanced cervical cancer[J]. Front Oncol,2021,11: emission tomography/computed tomography in response
698744 prediction in esophageal carcinoma patients[J]. Indian J
18
[20]YUAN P,HUANG Z H,YANG Y H,et al. A F ⁃ FDG Nucl Med ,2023,38(3):255-263
PET/CT⁃based deep learning⁃radiomics⁃clinical model for [31]BEUKINGA R J,HULSHOFF J B,DIJK L V VAN,et al.

