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FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI

Open Access
|Nov 2022

Figures & Tables

Figure 1

(A) A 51-year-old patient, with squamocellular carcinoma, presenting on FDG PET/CT with metastasis in left upper lung (blue arrow), and left iliac lymphadenopathy (red arrow). On MRI only left iliac disease was detected. (B) A 59-year-old patient, with adenocarcinoma, presenting on FDG PET/CT with active locoregional disease in pelvis (red arrow) also seen on MRI, and peritoneal deposit in front of the right liver lobe (blue arrow) which was missed by MRI.
(A) A 51-year-old patient, with squamocellular carcinoma, presenting on FDG PET/CT with metastasis in left upper lung (blue arrow), and left iliac lymphadenopathy (red arrow). On MRI only left iliac disease was detected. (B) A 59-year-old patient, with adenocarcinoma, presenting on FDG PET/CT with active locoregional disease in pelvis (red arrow) also seen on MRI, and peritoneal deposit in front of the right liver lobe (blue arrow) which was missed by MRI.

Figure 2

Kaplan-Meier survival curves showing progression free survival for patients with positive and negative magnetic resonance imaging; Log Rank, p = 0.003.
Kaplan-Meier survival curves showing progression free survival for patients with positive and negative magnetic resonance imaging; Log Rank, p = 0.003.

Figure 3

Kaplan-Meier survival curves showing progression free survival for patients with positive and negative fluorodeoxyglucose positron emission tomography/ computed tomography; Log Rank, p < 0.001.
Kaplan-Meier survival curves showing progression free survival for patients with positive and negative fluorodeoxyglucose positron emission tomography/ computed tomography; Log Rank, p < 0.001.

Figure 4

Kaplan-Meier survival curves showing progression free survival for patients with normal findings on fluorodeoxyglucose positron emission tomography/ computed tomography, locoregional recurrence, and presence of disseminated disease (with or without locoregional disease); Log Rank, p < 0.001.
Kaplan-Meier survival curves showing progression free survival for patients with normal findings on fluorodeoxyglucose positron emission tomography/ computed tomography, locoregional recurrence, and presence of disseminated disease (with or without locoregional disease); Log Rank, p < 0.001.

Multivariate Cox regression analysis of possible progression-free survival predictors in suspected recurrent cervical cancer (n = 84)

PredictorHR (95% confidence interval)p value
Age0.995 (0.966–1.024)0.727
Initial stage (IB/IIA vs. IIB/III/IV)1.605 (0.520–4.957)0.411
Histological type (squamocellular vs. other)0.892 (0.419–1.898)0.766
MRI (positive vs. negative)1.959 (0.888–4.323)0.096
PET-CT (positive vs. negative)8.787 26.834(2.877) –< 0.001*

Univariate Cox regression analysis of possible progression-free survival predictors in suspected recurrent cervical cancer (n = 84)

PredictorHR (95% confidence interval)p value
Age1.013 (0.987–1.040)0.336
Initial stage (IB/IIA vs. IIB/III/IV)2.024 (0.753–5.962)0.155
Histological type (squamocellular vs. other)1.245 (0.597–2.598)0.558
Histological grade (1/2 vs. 3)*0.831 (0.448–1.905)0.831
MRI (positive vs. negative)2.873 (1.370–6.027)0.005
PET-CT (positive vs. negative)9.491 (3.302–27.274)< 0.001

Patients’ characteristics

CharacteristicValue
Age (years)
Mean ± sd53 ± 11
Initial FIGO disease stage, n (%)
IB9 (11%)
IIA2 (2%)
IIB38 (45%)
III26 (31%)
IV9 (11%)
Tumor histological type, n (%)
Squamous cell70 (83%)
Adenocarcinoma11 (14%)
Adenosquamous2 (2%)
Small cell1 (1%)
Tumor grade, n (%)
Low grade6 (7%)
Intermediate grade50 (60%)
High grade10 (12%)
Unknown18 (21%)
Previous treatment, n (%)
Surgery with (chemo)radiotherapy11 (13%)
Radiotherapy only10 (12%)
Radiotherapy with concurrent chemotherapy49 (58%)
Primary (chemo)radiation with salvage hysterectomy14 (17%)
MRI findings, n (%)
Positive54 (64%)
Negative30 (36%)
PET-CT findings, n (%)
Positive57 (68%)
Negative27 (32%)

Diagnostic performance of MRI and PET-CT

TP(n)TN(n)FP(n)FN(n)Sensitivity (%)Specificity (%)Accuracy (%)
MRI342220880.1%52.4%66.7%
PET-CT412616197.6%61.9%79.8%
DOI: https://doi.org/10.2478/raon-2022-0042 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 453 - 460
Submitted on: Apr 18, 2022
Accepted on: Sep 15, 2022
Published on: Nov 2, 2022
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Milica Stojiljkovic, Dragana Sobic Saranovic, Strahinja Odalovic, Marina Popovic, Jelena Petrovic, Nevena Rankovic, Milos Veljkovic, Vera Artiko, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.