Preliminary MRI Study of Extracellular Volume Fraction for Identification of Lymphovascular Space Invasion of Cervical Cancer.
cervical cancer
dynamic contrast enhanced
extracellular volume fraction
lymphovascular space invasion
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
02 2023
02 2023
Historique:
revised:
17
08
2022
received:
12
06
2022
accepted:
18
08
2022
pubmed:
13
9
2022
medline:
20
1
2023
entrez:
12
9
2022
Statut:
ppublish
Résumé
Lymphovascular space invasion (LVSI) is a risk factor for poor prognosis of cervical cancer. Preoperative identification of LVSI is very difficult. To evaluate the potential of extracellular volume (ECV) fraction based on T1 mapping in preoperative identification of LVSI in cervical cancer compared with dynamic contrast-enhanced MRI (DCE-MRI). Retrospective. A total of 79 patients (median age 54 years) with cervical cancer were classified into LVSI group (n = 29) and without LVSI group (n = 50) according to postoperative pathology. A 3-T, noncontrast and contrast-enhanced T1 mapping performed with volume interpolated breath hold examination (VIBE) sequence, DCE-MRI applied with 3D T1-weighted VIBE sequence. Regions of interest along the medial edge of the lesion were drawn on slices depicting the maximum cross-section of the tumor. The noncontrast and contrast-enhanced T1 value of the tumor and arteries in the same slice were measured, and ECV was calculated from T1 values. The parametric maps (K ECV, K The ECV and K ECV measurements based on T1 mapping might improve the discrimination between patients with and without LVSI in cervical cancer, showing better performance for this purpose than DCE-MRI. 2 TECHNICAL EFFICACY: Stage 2.
Sections du résumé
BACKGROUND
Lymphovascular space invasion (LVSI) is a risk factor for poor prognosis of cervical cancer. Preoperative identification of LVSI is very difficult.
PURPOSE
To evaluate the potential of extracellular volume (ECV) fraction based on T1 mapping in preoperative identification of LVSI in cervical cancer compared with dynamic contrast-enhanced MRI (DCE-MRI).
STUDY TYPE
Retrospective.
SUBJECTS
A total of 79 patients (median age 54 years) with cervical cancer were classified into LVSI group (n = 29) and without LVSI group (n = 50) according to postoperative pathology.
FIELD STRENGTH/SEQUENCE
A 3-T, noncontrast and contrast-enhanced T1 mapping performed with volume interpolated breath hold examination (VIBE) sequence, DCE-MRI applied with 3D T1-weighted VIBE sequence.
ASSESSMENT
Regions of interest along the medial edge of the lesion were drawn on slices depicting the maximum cross-section of the tumor. The noncontrast and contrast-enhanced T1 value of the tumor and arteries in the same slice were measured, and ECV was calculated from T1 values. The parametric maps (K
STATISTICAL TESTS
ECV, K
RESULTS
The ECV and K
DATA CONCLUSION
ECV measurements based on T1 mapping might improve the discrimination between patients with and without LVSI in cervical cancer, showing better performance for this purpose than DCE-MRI.
EVIDENCE LEVEL
2 TECHNICAL EFFICACY: Stage 2.
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
587-597Informations de copyright
© 2022 International Society for Magnetic Resonance in Medicine.
Références
Padera TP, Kadambi A, di Tomaso E, et al. Lymphatic metastasis in the absence of functional intratumor lymphatics. Science (New York, NY) 2002;296(5574):1883-1886.
Morice P, Piovesan P, Rey A, et al. Prognostic value of lymphovascular space invasion determined with hematoxylin-eosin staining in early stage cervical carcinoma: Results of a multivariate analysis. Ann Oncol 2003;14(10):1511-1517.
Singh P, Tripcony L, Nicklin J. Analysis of prognostic variables, development of predictive models, and stratification of risk groups in surgically treated FIGO early-stage (IA-IIA) carcinoma cervix. Int J Gynecol Cancer 2012;22(1):115-122.
Balaya V, Guani B, Magaud L, et al. Validation of the 2018 FIGO classification for cervical cancer: Lymphovascular space invasion should be considered in IB1 stage. Cancer 2020;12(12):3554.
Koh WJ, Abu-Rustum NR, Bean S, et al. Cervical cancer, version 3.2019, NCCN clinical practice guidelines in oncology. J Natl Comprehens Cancer Netw 2019;17(1):64-84.
Zaccarini F, Sanson C, Maulard A, et al. Cervical cancer and fertility-sparing treatment. J Clin Med 2021;10(21):4825.
Ronsini C, Anchora LP, Restaino S, et al. The role of semiquantitative evaluation of lympho-vascular space invasion in early stage cervical cancer patients. Gynecol Oncol 2021;162(2):299-307.
Yang HS, Li B, Liu SH, Ao M. Nomogram model for predicting postoperative survival of patients with stage IB-IIA cervical cancer. Am J Cancer Res 2021;11(11):5559-5570.
Bidus MA, Caffrey AS, You WB, et al. Cervical biopsy and excision procedure specimens lack sufficient predictive value for lymph-vascular space invasion seen at hysterectomy for cervical cancer. Am J Obstet Gynecol 2008;199(2):151.e151-151.e154.
Saleh M, Virarkar M, Javadi S, Elsherif SB, de Castro FS, Bhosale P. Cervical cancer: 2018 revised International Federation of Gynecology and Obstetrics Staging System and the role of imaging. AJR Am J Roentgenol 2020;214(5):1182-1195.
Zhao W, Liu W, Liu H, et al. Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging. PLoS One 2018;13(5):e0197488.
Rata M, Khan K, Collins DJ, et al. DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases. Cancer Imaging 2021;21(1):67.
Xu C, Yu Y, Li X, Sun H. Value of integrated PET-IVIM MRI in predicting lymphovascular space invasion in cervical cancer without lymphatic metastasis. Eur J Nucl Med Mol Imaging 2021;48(9):2990-3000.
Wu Q, Shi D, Dou S, et al. Radiomics analysis of multiparametric MRI evaluates the pathological features of cervical squamous cell carcinoma. J Magn Reson Imaging 2019;49(4):1141-1148.
Cui L, Yu T, Kan Y, Dong Y, Luo Y, Jiang X. Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer. Diagn Interv Radiol 2022;28(4):312-321.
Du W, Wang Y, Li D, et al. Preoperative prediction of lymphovascular space invasion in cervical cancer with radiomics-based nomogram. Front Oncol 2021;11:637794.
Hu Q, Shi J, Zhang A, Duan S, Song J, Chen T. Added value of radiomics analysis in MRI invisible early-stage cervical cancers. Br J Radiol 2022;95(1133):20210986.
Huang G, Cui Y, Wang P, et al. Multi-parametric magnetic resonance imaging-based radiomics analysis of cervical cancer for preoperative prediction of lymphovascular space invasion. Front Oncol 2021;11:663370.
Li Z, Li H, Wang S, et al. MR-based radiomics nomogram of cervical cancer in prediction of the lymph-vascular space invasion preoperatively. J Magn Reson Imaging 2019;49(5):1420-1426.
Xiao M, Li Y, Ma F, Zhang G, Qiang J. Multiparametric MRI radiomics nomogram for predicting lymph-vascular space invasion in early-stage cervical cancer. Br J Radiol 2022;95(1134):20211076.
Adams LC, Jurmeister P, Ralla B, et al. Assessment of the extracellular volume fraction for the grading of clear cell renal cell carcinoma: First results and histopathological findings. Eur Radiol 2019;29(11):5832-5843.
Chang CC, Lin CY, Chu CY, et al. Extracellular volume fraction measurement correlates with lymphocyte abundance in thymic epithelial tumors. Cancer Imaging 2020;20(1):71.
Fukukura Y, Kumagae Y, Fujisaki Y, et al. Extracellular volume fraction with MRI: As an alternative predictive biomarker to dynamic contrast-enhanced MRI for chemotherapy response of pancreatic ductal adenocarcinoma. Eur J Radiol 2021;145:110036.
Bandula S, Punwani S, Rosenberg WM, et al. Equilibrium contrast-enhanced CT imaging to evaluate hepatic fibrosis: Initial validation by comparison with histopathologic sampling. Radiology 2015;275(1):136-143.
Bandula S, White SK, Flett AS, et al. Measurement of myocardial extracellular volume fraction by using equilibrium contrast-enhanced CT: Validation against histologic findings. Radiology 2013;269(2):396-403.
Treibel TA, Bandula S, Fontana M, et al. Extracellular volume quantification by dynamic equilibrium cardiac computed tomography in cardiac amyloidosis. J Cardiovasc Comput Tomogr 2015;9(6):585-592.
Yeung J, Sivarajan S, Treibel TA, et al. Measurement of liver and spleen interstitial volume in patients with systemic amyloid light-chain amyloidosis using equilibrium contrast CT. Abdom Radiol (New York) 2017;42(11):2646-2651.
Fukukura Y, Kumagae Y, Higashi R, et al. Extracellular volume fraction determined by equilibrium contrast-enhanced dual-energy CT as a prognostic factor in patients with stage IV pancreatic ductal adenocarcinoma. Eur Radiol 2020;30(3):1679-1689.
Fullár A, Dudás J, Oláh L, et al. Remodeling of extracellular matrix by normal and tumor-associated fibroblasts promotes cervical cancer progression. BMC Cancer 2015;15:256.
Sato T, Ota T, Watanabe M, Imada K, Nomizu M, Ito A. Identification of an active site of EMMPRIN for the augmentation of matrix metalloproteinase-1 and -3 expression in a co-culture of human uterine cervical carcinoma cells and fibroblasts. Gynecol Oncol 2009;114(2):337-342.
Hompland T, Lund KV, Ellingsen C, Kristensen GB, Rofstad EK. Peritumoral interstitial fluid flow velocity predicts survival in cervical carcinoma. Radiother Oncol 2014;113(1):132-138.
Anzalone N, Castellano A, Cadioli M, et al. Brain gliomas: Multicenter standardized assessment of dynamic contrast-enhanced and dynamic susceptibility contrast MR images. Radiology 2018;287(3):933-943.
Hansford BG, Peng Y, Jiang Y, et al. Dynamic contrast-enhanced MR imaging curve-type analysis: Is it helpful in the differentiation of prostate cancer from healthy peripheral zone? Radiology 2015;275(2):448-457.
Kang SR, Kim HW, Kim HS. Evaluating the relationship between dynamic contrast-enhanced MRI (DCE-MRI) parameters and pathological characteristics in breast cancer. J Magn Reson Imaging 2020;52(5):1360-1373.
Zhu Y, Zhou Y, Zhang W, et al. Value of quantitative dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging in predicting extramural venous invasion in locally advanced gastric cancer and prognostic significance. Quant Imaging Med Surg 2021;11(1):328-340.
Chen Z, Hu D, Ye G, Xu D. Quantitative evaluation of extramural vascular invasion of rectal cancer by dynamic contrast-enhanced magnetic resonance imaging. Contrast Media Mol Imaging 2022;2022:3038308.
Sourbron SP, Buckley DL. On the scope and interpretation of the Tofts models for DCE-MRI. Magn Reson Med 2011;66(3):735-745.
Ao W, Zhang X, Yao X, Zhu X, Deng S, Feng J. Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: A preliminary study. BMC Med Imaging 2022;22(1):78.
Petralia G, Summers PE, Agostini A, et al. Dynamic contrast-enhanced MRI in oncology: How we do it. Radiol Med 2020;125(12):1288-1300.
Weyl A, Illac C, Lusque A, et al. Prognostic value of lymphovascular space invasion in early-stage cervical cancer. Int J Gynecol Cancer 2020;30(10):1493-1499.