2020
DOI: 10.1186/s40644-020-00340-z
|View full text |Cite
|
Sign up to set email alerts
|

The feasibility of 18F-FDG PET/CT for predicting pathologic risk status in early-stage uterine cervical squamous cancer

Abstract: Background Postoperative pathologic risk factors (PRFs) could increase the recurrence rate in early-stage uterine cervical squamous cancer (ECSC). Our study intended to explore the efficiency of 18F-FDG PET/CT for assessing the pathologic risk status (PRS) in ECSC patients. Methods This retrospective study was performed in 240 ECSC patients with stage IA2-IIA2 (FIGO 2009), who underwent preoperative PET/CT scans and subsequent radical surgery between January 2010 and July 2015. Intermediate-risk (tumour diam… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 20 publications
(43 reference statements)
2
3
0
Order By: Relevance
“…This metabolic parameter is unavailable in conventional CECT scans and provides complementary information. Our SUV results are concordant with several other studies, which have also shown that this parameter in the primary tumor is an adverse prognostic factor and is associated with lymph node involvement and other features of biologically aggressive malignancy [19][20][21][22]. Given the higher spatial resolution of CECT or MRI and the metabolic information available with PET, the best imaging in clinically early-stage patients may be a combination of PET/CT and CECT or MRI.…”
Section: Discussionsupporting
confidence: 91%
“…This metabolic parameter is unavailable in conventional CECT scans and provides complementary information. Our SUV results are concordant with several other studies, which have also shown that this parameter in the primary tumor is an adverse prognostic factor and is associated with lymph node involvement and other features of biologically aggressive malignancy [19][20][21][22]. Given the higher spatial resolution of CECT or MRI and the metabolic information available with PET, the best imaging in clinically early-stage patients may be a combination of PET/CT and CECT or MRI.…”
Section: Discussionsupporting
confidence: 91%
“…The specific reason is that the patients included in this study were all patients who had not undergone surgery, and there was no gold standard (pathological result) to verify the presence of lymph node metastasis. Previous studies ( 18 , 19 ) have also shown that it is sufficient to use only the imaging information of primary lesions for cancer prognosis analysis, and the method selection of this study is generally in line with the previous research norms.…”
Section: Methodssupporting
confidence: 68%
“…Additionally, CT and MR images can provide information of tumors, such as lesion size and invasion degree, which is crucial for preliminary clinical staging and prognosis evaluation ( 47 51 ). Therefore, many models based on CT or MR images have been proposed for the subtype identification ( 52 ), staging analysis ( 53 , 54 ), lymph node metastasis prediction ( 54 , 55 ) and prognosis analysis ( 12 , 56 , 57 ) of cervical cancer. Compared to the above methods, the main contributions of this paper lie in the following aspects: (I) We first investigated the feasibility of deep learning method in accurately predicting recurrence risk so as to help formulate the individualized therapeutic schedule for LACC patients.…”
Section: Discussionmentioning
confidence: 99%
“…PET/CT is not an ideal method for diagnosing DOI due to its high false-positivity rate of 40.8% [ 15 ]. Previous studies have found that some clinical characteristics, including tumor diameter on imaging, were associated with the DOI in patients with early stage CC, but their value in preoperative diagnosis of middle or deep 1/3 stromal invasion is yet to be investigated [ 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%