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Erschienen in: European Radiology 12/2017

22.05.2017 | Magnetic Resonance

Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging

verfasst von: Qingxia Wu, Dandan Zheng, Ligang Shi, Mingbo Liu, Meiyun Wang, Dapeng Shi

Erschienen in: European Radiology | Ausgabe 12/2017

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Abstract

Objectives

To determine the diagnostic value of monoexponential, biexponential and stretched exponential models for identifying lymph nodes (LNs) in patients with cervical cancer.

Materials and methods

Fifty female patients with cervical cancer underwent preoperative magnetic resonance imaging. The diffusion parameters of the LNs were calculated by fitting the values to monoexponential, biexponential and stretched exponential models and were compared between the metastatic and non-metastatic LN groups.

Results

A total of 157 LNs with high signal intensity on multi-b-value DWI were detected, 41 of which were pathologically shown to be metastatic. Metastatic LNs presented with higher pure water diffusion (D) values, lower perfusion fraction (f) values, higher diffusion heterogeneity (α) values, higher short diameter (Size-S), long diameter (Size-L) and short long diameter ratio (S/L Ratio) than non-metastatic LNs (P<0.05). The Size-S of LNs exhibited the highest diagnostic value, with an area under the curve of 0.844.

Conclusions

Compared with the size parameters, the diffusion parameters derived from multi-b-value diffusion-weighted imaging cannot reliably discriminate metastatic from non-metastatic LNs in daily clinical routine due to limited sensitivity and specificity.

Key Points

Biexponential and stretched exponential diffusion models can help to characterise LN status.
Metastatic LNs present with higher D and α values, lower f values.
Diffusion parameters were less reliable in discriminating LNs than size parameters.
Literatur
1.
Zurück zum Zitat Follen M, Levenback CF, Iyer RB et al (2003) Imaging in cervical cancer. Cancer 98:2028–2038CrossRefPubMed Follen M, Levenback CF, Iyer RB et al (2003) Imaging in cervical cancer. Cancer 98:2028–2038CrossRefPubMed
2.
Zurück zum Zitat Shen G, Zhou H, Jia Z, Deng H (2015) Diagnostic performance of diffusion-weighted MRI for detection of pelvic metastatic lymph nodes in patients with cervical cancer: a systematic review and meta-analysis. Br J Radiol 88:20150063CrossRefPubMedPubMedCentral Shen G, Zhou H, Jia Z, Deng H (2015) Diagnostic performance of diffusion-weighted MRI for detection of pelvic metastatic lymph nodes in patients with cervical cancer: a systematic review and meta-analysis. Br J Radiol 88:20150063CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Thoeny HC, Froehlich JM, Triantafyllou M et al (2014) Metastases in normal-sized pelvic lymph nodes: detection with diffusion-weighted MR imaging. Radiology 273:125–135CrossRefPubMed Thoeny HC, Froehlich JM, Triantafyllou M et al (2014) Metastases in normal-sized pelvic lymph nodes: detection with diffusion-weighted MR imaging. Radiology 273:125–135CrossRefPubMed
4.
Zurück zum Zitat Vandecaveye V, De Keyzer F, Vander Poorten V et al (2009) Head and neck squamous cell carcinoma: value of diffusion-weighted MR imaging for nodal staging. Radiology 251:134–146CrossRefPubMed Vandecaveye V, De Keyzer F, Vander Poorten V et al (2009) Head and neck squamous cell carcinoma: value of diffusion-weighted MR imaging for nodal staging. Radiology 251:134–146CrossRefPubMed
5.
Zurück zum Zitat Marti-Bonmati L (2011) Lymph node assessment by diffusion weighted imaging in cervical cancer. Eur Radiol 21:474–477CrossRefPubMed Marti-Bonmati L (2011) Lymph node assessment by diffusion weighted imaging in cervical cancer. Eur Radiol 21:474–477CrossRefPubMed
6.
Zurück zum Zitat Lin G, Ho KC, Wang JJ et al (2008) Detection of lymph node metastasis in cervical and uterine cancers by diffusion-weighted magnetic resonance imaging at 3T. J Magn Reson Imaging 28:128–135CrossRefPubMed Lin G, Ho KC, Wang JJ et al (2008) Detection of lymph node metastasis in cervical and uterine cancers by diffusion-weighted magnetic resonance imaging at 3T. J Magn Reson Imaging 28:128–135CrossRefPubMed
7.
Zurück zum Zitat Kim JK, Kim KA, Park BW, Kim N, Cho KS (2008) Feasibility of diffusion-weighted imaging in the differentiation of metastatic from nonmetastatic lymph nodes: early experience. J Magn Reson Imaging 28:714–719CrossRefPubMed Kim JK, Kim KA, Park BW, Kim N, Cho KS (2008) Feasibility of diffusion-weighted imaging in the differentiation of metastatic from nonmetastatic lymph nodes: early experience. J Magn Reson Imaging 28:714–719CrossRefPubMed
8.
Zurück zum Zitat Wendl CM, Müller S, Eiglsperger J, Fellner C, Jung EM, Meier JK (2016) Diffusion-weighted imaging in oral squamous cell carcinoma using 3 Tesla MRI: is there a chance for preoperative discrimination between benign and malignant lymph nodes in daily clinical routine? Acta Radiol 57:939–946CrossRefPubMed Wendl CM, Müller S, Eiglsperger J, Fellner C, Jung EM, Meier JK (2016) Diffusion-weighted imaging in oral squamous cell carcinoma using 3 Tesla MRI: is there a chance for preoperative discrimination between benign and malignant lymph nodes in daily clinical routine? Acta Radiol 57:939–946CrossRefPubMed
9.
Zurück zum Zitat Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407CrossRefPubMed Le Bihan D, Breton E, Lallemand D, Grenier P, Cabanis E, Laval-Jeantet M (1986) MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161:401–407CrossRefPubMed
10.
Zurück zum Zitat Bennett KM, Schmainda KM, Bennett RT, Rowe DB, Lu H, Hyde JS (2003) Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med 50:727–734CrossRefPubMed Bennett KM, Schmainda KM, Bennett RT, Rowe DB, Lu H, Hyde JS (2003) Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med 50:727–734CrossRefPubMed
11.
Zurück zum Zitat Qiu L, Liu XL, Liu SR et al (2016) Role of quantitative intravoxel incoherent motion parameters in the preoperative diagnosis of nodal metastasis in patients with rectal carcinoma. J Magn Reson Imaging 44:1031–1039CrossRefPubMed Qiu L, Liu XL, Liu SR et al (2016) Role of quantitative intravoxel incoherent motion parameters in the preoperative diagnosis of nodal metastasis in patients with rectal carcinoma. J Magn Reson Imaging 44:1031–1039CrossRefPubMed
12.
Zurück zum Zitat Yu XP, Wen L, Hou J et al (2016) Discrimination between metastatic and nonmetastatic mesorectal lymph nodes in rectal cancer using intravoxel incoherent motion diffusion-weighted magnetic resonance imaging. Acad Radiol 23:479–485CrossRefPubMed Yu XP, Wen L, Hou J et al (2016) Discrimination between metastatic and nonmetastatic mesorectal lymph nodes in rectal cancer using intravoxel incoherent motion diffusion-weighted magnetic resonance imaging. Acad Radiol 23:479–485CrossRefPubMed
13.
Zurück zum Zitat Pano B, Sebastia C, Ripoll E et al (2015) Pathways of lymphatic spread in gynecologic malignancies. Radiographics 35:916–945CrossRefPubMed Pano B, Sebastia C, Ripoll E et al (2015) Pathways of lymphatic spread in gynecologic malignancies. Radiographics 35:916–945CrossRefPubMed
14.
Zurück zum Zitat Lengele B, Scalliet P (2009) Anatomical bases for the radiological delineation of lymph node areas. Part III: Pelvis and lower limbs. Radiother Oncol 92:22–33CrossRefPubMed Lengele B, Scalliet P (2009) Anatomical bases for the radiological delineation of lymph node areas. Part III: Pelvis and lower limbs. Radiother Oncol 92:22–33CrossRefPubMed
15.
Zurück zum Zitat Kasuya G, Toita T, Furutani K et al (2013) Distribution patterns of metastatic pelvic lymph nodes assessed by CT/MRI in patients with uterine cervical cancer. Radiat Oncol 8:139CrossRefPubMedPubMedCentral Kasuya G, Toita T, Furutani K et al (2013) Distribution patterns of metastatic pelvic lymph nodes assessed by CT/MRI in patients with uterine cervical cancer. Radiat Oncol 8:139CrossRefPubMedPubMedCentral
16.
17.
Zurück zum Zitat Michel G, Morice P, Castaigne D, Leblanc M, Rey A, Duvillard P (1998) Lymphatic spread in stage Ib and II cervical carcinoma: anatomy and surgical implications. Obstet Gynecol 91:360–363CrossRefPubMed Michel G, Morice P, Castaigne D, Leblanc M, Rey A, Duvillard P (1998) Lymphatic spread in stage Ib and II cervical carcinoma: anatomy and surgical implications. Obstet Gynecol 91:360–363CrossRefPubMed
18.
Zurück zum Zitat Klerkx WM, Veldhuis WB, Spijkerboer AM et al (2012) The value of 3.0Tesla diffusion-weighted MRI for pelvic nodal staging in patients with early stage cervical cancer. Eur J Cancer 48:3414–3421CrossRefPubMed Klerkx WM, Veldhuis WB, Spijkerboer AM et al (2012) The value of 3.0Tesla diffusion-weighted MRI for pelvic nodal staging in patients with early stage cervical cancer. Eur J Cancer 48:3414–3421CrossRefPubMed
19.
Zurück zum Zitat Heijnen LA, Lambregts DM, Mondal D et al (2013) Diffusion-weighted MR imaging in primary rectal cancer staging demonstrates but does not characterise lymph nodes. Eur Radiol 23:3354–3360CrossRefPubMed Heijnen LA, Lambregts DM, Mondal D et al (2013) Diffusion-weighted MR imaging in primary rectal cancer staging demonstrates but does not characterise lymph nodes. Eur Radiol 23:3354–3360CrossRefPubMed
20.
Zurück zum Zitat Marconi DG, Fregnani JHTG, Rossini RR et al (2016) Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation. BMC Cancer 16:556CrossRefPubMedPubMedCentral Marconi DG, Fregnani JHTG, Rossini RR et al (2016) Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation. BMC Cancer 16:556CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Hompland T, Ellingsen C, Galappathi K, Rofstad EK (2014) Connective tissue of cervical carcinoma xenografts: associations with tumor hypoxia and interstitial fluid pressure and its assessment by DCE-MRI and DW-MRI. Acta Oncol 53:6–15CrossRefPubMed Hompland T, Ellingsen C, Galappathi K, Rofstad EK (2014) Connective tissue of cervical carcinoma xenografts: associations with tumor hypoxia and interstitial fluid pressure and its assessment by DCE-MRI and DW-MRI. Acta Oncol 53:6–15CrossRefPubMed
22.
Zurück zum Zitat Lee EYP, Yu X, Chu MMY et al (2014) Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study. Eur Radiol 24:1506–1513CrossRefPubMed Lee EYP, Yu X, Chu MMY et al (2014) Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study. Eur Radiol 24:1506–1513CrossRefPubMed
23.
Zurück zum Zitat Winfield JM, Orton MR, Collins DJ et al (2016) Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI. Eur Radiol 27:627–636CrossRefPubMedPubMedCentral Winfield JM, Orton MR, Collins DJ et al (2016) Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI. Eur Radiol 27:627–636CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Bai Y, Lin Y, Tian J et al (2016) Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. Radiology 278:496–504CrossRefPubMed Bai Y, Lin Y, Tian J et al (2016) Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. Radiology 278:496–504CrossRefPubMed
25.
Zurück zum Zitat Lai V, Lee VH, Lam KO, Sze HC, Chan Q, Khong PL (2015) Intravoxel water diffusion heterogeneity MR imaging of nasopharyngeal carcinoma using stretched exponential diffusion model. Eur Radiol 25:1708–1713CrossRefPubMed Lai V, Lee VH, Lam KO, Sze HC, Chan Q, Khong PL (2015) Intravoxel water diffusion heterogeneity MR imaging of nasopharyngeal carcinoma using stretched exponential diffusion model. Eur Radiol 25:1708–1713CrossRefPubMed
Metadaten
Titel
Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging
verfasst von
Qingxia Wu
Dandan Zheng
Ligang Shi
Mingbo Liu
Meiyun Wang
Dapeng Shi
Publikationsdatum
22.05.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 12/2017
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-4873-1

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