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Published in: European Radiology 5/2018

01-05-2018 | Magnetic Resonance

Feasibility of whole-body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study

Authors: Sileny N. Han, Frédéric Amant, Katrijn Michielsen, Frederik De Keyzer, Steffen Fieuws, Kristel Van Calsteren, Raphaëla C. Dresen, Mina Mhallem Gziri, Vincent Vandecaveye

Published in: European Radiology | Issue 5/2018

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Abstract

Objectives

To evaluate the feasibility of whole-body diffusion-weighted MRI (WB-DWI/MRI) for detecting primary tumour, nodal and distant metastases in pregnant women with cancer.

Methods

Twenty pregnant patients underwent WB-DWI/MRI in additional to conventional imaging. Reproducibility of WB-DWI/MRI between two readers was evaluated using Cohen’s κ statistics and accuracy was compared to conventional imaging for assessing primary tumour site, nodal and visceral metastases.

Results

Both WB-DWI/MRI readers showed good–very good agreement for lesion detection (primary lesions: κ=1; lymph nodes: κ=0.89; distant metastases: κ=0.61). Eight (40 %) patients were upstaged after WB-DWI/MRI. For nodal metastases, WB-DWI/MRI showed 100 % (95 % CI: 83.2–100) sensitivity for both readers with specificity of 99.4 % (96.9–100) and 100 % (80.5–100) for readers 1 and 2, respectively. For distant metastases, WB-DWI/MRI showed 66.7 % (9.4–99.2) and 100 % (29.2–100) sensitivity and specificity of 94.1 % (71.3–99.9) and 100 % (80.5–100) for readers 1 and 2, respectively. Conventional imaging showed sensitivity of 50 % (27.2-72.8) and 33.3 % (0.8–90.6); specificity of 100 % (98–100) and 100 % (80.5–100), for nodal and distant metastases respectively.

Conclusions

WB-DWI/MRI is feasible for single-step non-invasive staging of cancer during pregnancy with additional value for conventional imaging procedures.

Key points

• In our study, WB-DWI/MRI was more accurate than conventional imaging during pregnancy.
• WB-DWI/MRI improves diagnostic assessment of patients with cancer during pregnancy.
• Accurate imaging and oncologic staging improves treatment and outcome.
Literature
1.
go back to reference Pavlidis NA (2002) Coexistence of pregnancy and malignancy. Oncologist 7(4):279–287PubMed Pavlidis NA (2002) Coexistence of pregnancy and malignancy. Oncologist 7(4):279–287PubMed
2.
go back to reference Berkowitz GS, Skovron ML, Lapinski RH, Berkowitz RL (1990) Delayed childbearing and the outcome of pregnancy. N Engl J Med 322(10):659–664CrossRefPubMed Berkowitz GS, Skovron ML, Lapinski RH, Berkowitz RL (1990) Delayed childbearing and the outcome of pregnancy. N Engl J Med 322(10):659–664CrossRefPubMed
3.
go back to reference Stensheim H, Moller B, van Dijk T, Fossa SD (2009) Cause-specific survival for women diagnosed with cancer during pregnancy or lactation: a registry-based cohort study. J Clin Oncol 27(1):45–51CrossRefPubMed Stensheim H, Moller B, van Dijk T, Fossa SD (2009) Cause-specific survival for women diagnosed with cancer during pregnancy or lactation: a registry-based cohort study. J Clin Oncol 27(1):45–51CrossRefPubMed
4.
go back to reference Kanal E, Barkovich AJ, Bell C et al (2013) ACR guidance document on MR safe practices: 2013. J Magn Reson Imaging 37(3):501–530CrossRefPubMed Kanal E, Barkovich AJ, Bell C et al (2013) ACR guidance document on MR safe practices: 2013. J Magn Reson Imaging 37(3):501–530CrossRefPubMed
5.
go back to reference Woussen S, Lopez-Rendon X, Vanbeckevoort D, Bosmans H, Oyen R, Zanca F (2016) Clinical indications and radiation doses to the conceptus associated with CT imaging in pregnancy: a retrospective study. Eur Radiol 26(4):979–985CrossRefPubMed Woussen S, Lopez-Rendon X, Vanbeckevoort D, Bosmans H, Oyen R, Zanca F (2016) Clinical indications and radiation doses to the conceptus associated with CT imaging in pregnancy: a retrospective study. Eur Radiol 26(4):979–985CrossRefPubMed
6.
go back to reference Michielsen K, Vergote I, Op de Beeck K et al (2014) Whole-body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT. Eur Radiol 24(4):889–901CrossRefPubMed Michielsen K, Vergote I, Op de Beeck K et al (2014) Whole-body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT. Eur Radiol 24(4):889–901CrossRefPubMed
7.
go back to reference Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 188(6):1622–1635CrossRefPubMed Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 188(6):1622–1635CrossRefPubMed
8.
go back to reference Petralia G, Padhani A, Summers P et al (2013) Whole-body diffusion-weighted imaging: is it all we need for detecting metastases in melanoma patients? Eur Radiol 23(12):3466–3476CrossRefPubMed Petralia G, Padhani A, Summers P et al (2013) Whole-body diffusion-weighted imaging: is it all we need for detecting metastases in melanoma patients? Eur Radiol 23(12):3466–3476CrossRefPubMed
9.
go back to reference Mayerhoefer ME, Karanikas G, Kletter K et al (2015) Evaluation of Diffusion-Weighted Magnetic Resonance Imaging for Follow-up and Treatment Response Assessment of Lymphoma: Results of an 18F-FDG-PET/CT-Controlled Prospective Study in 64 Patients. Clin Cancer Res 21(11):2506–2513CrossRefPubMed Mayerhoefer ME, Karanikas G, Kletter K et al (2015) Evaluation of Diffusion-Weighted Magnetic Resonance Imaging for Follow-up and Treatment Response Assessment of Lymphoma: Results of an 18F-FDG-PET/CT-Controlled Prospective Study in 64 Patients. Clin Cancer Res 21(11):2506–2513CrossRefPubMed
10.
go back to reference de Bondt RB, Nelemans PJ, Hofman PA et al (2007) Detection of lymph node metastases in head and neck cancer: a meta-analysis comparing US, USgFNAC, CT and MR imaging. Eur J Radiol 64(2):266–272CrossRefPubMed de Bondt RB, Nelemans PJ, Hofman PA et al (2007) Detection of lymph node metastases in head and neck cancer: a meta-analysis comparing US, USgFNAC, CT and MR imaging. Eur J Radiol 64(2):266–272CrossRefPubMed
11.
go back to reference Wu LM, Hu J, Gu HY, Hua J, Xu JR (2013) Can diffusion-weighted magnetic resonance imaging (DW-MRI) alone be used as a reliable sequence for the preoperative detection and characterisation of hepatic metastases? A meta-analysis. Eur J Cancer 49(2):572–584CrossRefPubMed Wu LM, Hu J, Gu HY, Hua J, Xu JR (2013) Can diffusion-weighted magnetic resonance imaging (DW-MRI) alone be used as a reliable sequence for the preoperative detection and characterisation of hepatic metastases? A meta-analysis. Eur J Cancer 49(2):572–584CrossRefPubMed
12.
go back to reference Li B, Li Q, Nie W, Liu S (2014) Diagnostic value of whole-body diffusion-weighted magnetic resonance imaging for detection of primary and metastatic malignancies: a meta-analysis. Eur J Radiol 83(2):338–344CrossRefPubMed Li B, Li Q, Nie W, Liu S (2014) Diagnostic value of whole-body diffusion-weighted magnetic resonance imaging for detection of primary and metastatic malignancies: a meta-analysis. Eur J Radiol 83(2):338–344CrossRefPubMed
13.
go back to reference Sobin LH, Gospodarowicz MK, Wittekind C (2009) TNM Classification of Malignant Tumors, 7th edn. Wiley-Blackwell, Hoboken Sobin LH, Gospodarowicz MK, Wittekind C (2009) TNM Classification of Malignant Tumors, 7th edn. Wiley-Blackwell, Hoboken
14.
go back to reference Klar N, Lipsitz SR, Leong T (2002) An exact bootstrap confidence interval for K in small studies. The Statistician 51(4):467–478 Klar N, Lipsitz SR, Leong T (2002) An exact bootstrap confidence interval for K in small studies. The Statistician 51(4):467–478
15.
go back to reference Rao JN, Scott AJ (1992) A simple method for the analysis of clustered binary data. Biometrics 48(2):577–585CrossRefPubMed Rao JN, Scott AJ (1992) A simple method for the analysis of clustered binary data. Biometrics 48(2):577–585CrossRefPubMed
16.
go back to reference Zou G, Donner A (2004) Confidence interval estimation of the intraclass correlation coefficient for binary outcome data. Biometrics 60:807–811CrossRefPubMed Zou G, Donner A (2004) Confidence interval estimation of the intraclass correlation coefficient for binary outcome data. Biometrics 60:807–811CrossRefPubMed
17.
go back to reference Crump M, Goss PE, Prince M, Girouard C (1996) Outcome of extensive evaluation before adjuvant therapy in women with breast cancer and 10 or more positive axillary lymph nodes. J Clin Oncol 14(1):66–69CrossRefPubMed Crump M, Goss PE, Prince M, Girouard C (1996) Outcome of extensive evaluation before adjuvant therapy in women with breast cancer and 10 or more positive axillary lymph nodes. J Clin Oncol 14(1):66–69CrossRefPubMed
18.
go back to reference Hilsenbeck SG, Ravdin PM, de Moor CA, Chamness GC, Osborne CK, Clark GM (1998) Time-dependence of hazard ratios for prognostic factors in primary breast cancer. Breast Cancer Res Treat 52(1-3):227–237CrossRefPubMed Hilsenbeck SG, Ravdin PM, de Moor CA, Chamness GC, Osborne CK, Clark GM (1998) Time-dependence of hazard ratios for prognostic factors in primary breast cancer. Breast Cancer Res Treat 52(1-3):227–237CrossRefPubMed
19.
go back to reference Chung J, Youk JH, Kim JA et al (2014) Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer. Acta Radiol 55(8):909–916CrossRefPubMed Chung J, Youk JH, Kim JA et al (2014) Role of diffusion-weighted MRI: predicting axillary lymph node metastases in breast cancer. Acta Radiol 55(8):909–916CrossRefPubMed
20.
go back to reference Luo N, Su D, Jin G et al (2013) Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients. J Magn Reson Imaging 38(4):824–828CrossRefPubMed Luo N, Su D, Jin G et al (2013) Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in breast cancer patients. J Magn Reson Imaging 38(4):824–828CrossRefPubMed
21.
go back to reference Fornasa F, Nesoti MV, Bovo C, Bonavina MG (2012) Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer. J Magn Reson Imaging 36(4):858–864CrossRefPubMed Fornasa F, Nesoti MV, Bovo C, Bonavina MG (2012) Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with breast cancer. J Magn Reson Imaging 36(4):858–864CrossRefPubMed
22.
go back to reference Scaranelo AM, Eiada R, Jacks LM, Kulkarni SR, Crystal P (2012) Accuracy of unenhanced MR imaging in the detection of axillary lymph node metastasis: study of reproducibility and reliability. Radiology 262(2):425–434CrossRefPubMed Scaranelo AM, Eiada R, Jacks LM, Kulkarni SR, Crystal P (2012) Accuracy of unenhanced MR imaging in the detection of axillary lymph node metastasis: study of reproducibility and reliability. Radiology 262(2):425–434CrossRefPubMed
23.
go back to reference Rautiainen S, Kononen M, Sironen R et al (2015) Preoperative axillary staging with 3.0-T breast MRI: clinical value of diffusion imaging and apparent diffusion coefficient. PLoS One 10(3):e0122516CrossRefPubMedPubMedCentral Rautiainen S, Kononen M, Sironen R et al (2015) Preoperative axillary staging with 3.0-T breast MRI: clinical value of diffusion imaging and apparent diffusion coefficient. PLoS One 10(3):e0122516CrossRefPubMedPubMedCentral
24.
go back to reference Alvarez S, Anorbe E, Alcorta P, Lopez F, Alonso I, Cortes J (2006) Role of sonography in the diagnosis of axillary lymph node metastases in breast cancer: a systematic review. AJR Am J Roentgenol 186(5):1342–1348CrossRefPubMed Alvarez S, Anorbe E, Alcorta P, Lopez F, Alonso I, Cortes J (2006) Role of sonography in the diagnosis of axillary lymph node metastases in breast cancer: a systematic review. AJR Am J Roentgenol 186(5):1342–1348CrossRefPubMed
25.
go back to reference Ohno Y, Koyama H, Yoshikawa T et al (2011) N stage disease in patients with non-small cell lung cancer: efficacy of quantitative and qualitative assessment with STIR turbo spin-echo imaging, diffusion-weighted MR imaging, and fluorodeoxyglucose PET/CT. Radiology 261(2):605–615CrossRefPubMed Ohno Y, Koyama H, Yoshikawa T et al (2011) N stage disease in patients with non-small cell lung cancer: efficacy of quantitative and qualitative assessment with STIR turbo spin-echo imaging, diffusion-weighted MR imaging, and fluorodeoxyglucose PET/CT. Radiology 261(2):605–615CrossRefPubMed
26.
go back to reference Michielsen K, Dresen R, Vanslembrouck R et al (2017) Diagnostic value of whole body diffusion-weighted MRI compared to computed tomography for pre-operative assessment of patients suspected for ovarian cancer. Eur J Cancer 83:88–98CrossRefPubMed Michielsen K, Dresen R, Vanslembrouck R et al (2017) Diagnostic value of whole body diffusion-weighted MRI compared to computed tomography for pre-operative assessment of patients suspected for ovarian cancer. Eur J Cancer 83:88–98CrossRefPubMed
27.
go back to reference Lavi N, Horowitz NA, Brenner B (2015) Author response: Precise staging of lymphoma duringpregnancy using MRI is not always crucial. Womens Health (Lond Engl) 11(2):103–104CrossRef Lavi N, Horowitz NA, Brenner B (2015) Author response: Precise staging of lymphoma duringpregnancy using MRI is not always crucial. Womens Health (Lond Engl) 11(2):103–104CrossRef
28.
go back to reference van Dam L, Han SN, Dierickx D, Amant F (2015) Optimal staging of lymphoma during pregnancy is crucial. Womens Health (Lond Engl ) 11(2):101–102CrossRef van Dam L, Han SN, Dierickx D, Amant F (2015) Optimal staging of lymphoma during pregnancy is crucial. Womens Health (Lond Engl ) 11(2):101–102CrossRef
29.
go back to reference Clouse ME, Harrison DA, Grassi CJ, Costello P, Edwards SA, Wheeler HG (1985) Lymphangiography, ultrasonography, and computed tomography in Hodgkin's disease and non-Hodgkin's lymphoma. J Comput Tomogr 9:1–8CrossRefPubMed Clouse ME, Harrison DA, Grassi CJ, Costello P, Edwards SA, Wheeler HG (1985) Lymphangiography, ultrasonography, and computed tomography in Hodgkin's disease and non-Hodgkin's lymphoma. J Comput Tomogr 9:1–8CrossRefPubMed
30.
go back to reference Espada M, Garcia-Flores JR, Jimenez M et al (2013) Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma. Eur Radiol 23(9):2636–2642CrossRefPubMed Espada M, Garcia-Flores JR, Jimenez M et al (2013) Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma. Eur Radiol 23(9):2636–2642CrossRefPubMed
31.
go back to reference Low RN, Sebrechts CP, Barone RM, Muller W (2009) Diffusion-weighted MRI of peritoneal tumors: comparison with conventional MRI and surgical and histopathologic findings--a feasibility study. AJR Am J Roentgenol 193(2):461–470CrossRefPubMed Low RN, Sebrechts CP, Barone RM, Muller W (2009) Diffusion-weighted MRI of peritoneal tumors: comparison with conventional MRI and surgical and histopathologic findings--a feasibility study. AJR Am J Roentgenol 193(2):461–470CrossRefPubMed
32.
go back to reference Lecouvet FE, El Mouedden J, Collette L et al (2012) Can whole-body magnetic resonance imaging with diffusion-weighted imaging replace Tc 99m bone scanning and computed tomography for single-step detection of metastases in patients with high-risk prostate cancer? Eur Urol 62(1):68–75CrossRefPubMed Lecouvet FE, El Mouedden J, Collette L et al (2012) Can whole-body magnetic resonance imaging with diffusion-weighted imaging replace Tc 99m bone scanning and computed tomography for single-step detection of metastases in patients with high-risk prostate cancer? Eur Urol 62(1):68–75CrossRefPubMed
33.
go back to reference Strizek B, Jani JC, Mucyo E et al (2015) Safety of MR Imaging at 1.5 T in Fetuses: A Retrospective Case-Control Study of Birth Weights and the Effects of Acoustic Noise. Radiology 275(2):530–537CrossRefPubMed Strizek B, Jani JC, Mucyo E et al (2015) Safety of MR Imaging at 1.5 T in Fetuses: A Retrospective Case-Control Study of Birth Weights and the Effects of Acoustic Noise. Radiology 275(2):530–537CrossRefPubMed
34.
go back to reference Clements H, Duncan KR, Fielding K, Gowland PA, Johnson IR, Baker PN (2000) Infants exposed to MRI in utero have a normal paediatric assessment at 9 months of age. Br J Radiol 73(866):190–194CrossRefPubMed Clements H, Duncan KR, Fielding K, Gowland PA, Johnson IR, Baker PN (2000) Infants exposed to MRI in utero have a normal paediatric assessment at 9 months of age. Br J Radiol 73(866):190–194CrossRefPubMed
35.
go back to reference Kok RD, de Vries MM, Heerschap A, van den Berg PP (2004) Absence of harmful effects of magnetic resonance exposure at 1.5 T in utero during the third trimester of pregnancy: a follow-up study. Magn Reson Imaging 22(6):851–854CrossRefPubMed Kok RD, de Vries MM, Heerschap A, van den Berg PP (2004) Absence of harmful effects of magnetic resonance exposure at 1.5 T in utero during the third trimester of pregnancy: a follow-up study. Magn Reson Imaging 22(6):851–854CrossRefPubMed
36.
go back to reference Reeves MJ, Brandreth M, Whitby EH et al (2010) Neonatal cochlear function: measurement after exposure to acoustic noise during in utero MR imaging. Radiology 257(3):802–809CrossRefPubMed Reeves MJ, Brandreth M, Whitby EH et al (2010) Neonatal cochlear function: measurement after exposure to acoustic noise during in utero MR imaging. Radiology 257(3):802–809CrossRefPubMed
37.
go back to reference Victoria T, Jaramillo D, Roberts TP et al (2014) Fetal magnetic resonance imaging: jumping from 1.5 to 3 tesla (preliminary experience). Pediatr Radiol 44(4):376–386CrossRefPubMed Victoria T, Jaramillo D, Roberts TP et al (2014) Fetal magnetic resonance imaging: jumping from 1.5 to 3 tesla (preliminary experience). Pediatr Radiol 44(4):376–386CrossRefPubMed
38.
go back to reference Cannie MM, De Keyzer F, Van Laere S et al (2015) Potential Heating Effect in the Gravid Uterus by Using 3-T MR Imaging Protocols: Experimental Study in Miniature Pigs. Radiology 151258 Cannie MM, De Keyzer F, Van Laere S et al (2015) Potential Heating Effect in the Gravid Uterus by Using 3-T MR Imaging Protocols: Experimental Study in Miniature Pigs. Radiology 151258
39.
go back to reference The American College of Radiology (2010) Manual on Contrast Media, version 7.0: 81 The American College of Radiology (2010) Manual on Contrast Media, version 7.0: 81
40.
go back to reference de Haan J, Vandecaveye V, Han SN, Van de Vijver KK, Amant F (2016) Difficulties with diagnosis of malignancies in pregnancy. Best Pract Res Clin Obstet Gynaecol 33:19–32CrossRefPubMed de Haan J, Vandecaveye V, Han SN, Van de Vijver KK, Amant F (2016) Difficulties with diagnosis of malignancies in pregnancy. Best Pract Res Clin Obstet Gynaecol 33:19–32CrossRefPubMed
41.
go back to reference Vermoolen MA, Kwee TC, Nievelstein RA (2010) Whole-body MRI for staging Hodgkin lymphoma in a pregnant patient. Am J Hematol 85(6):443PubMed Vermoolen MA, Kwee TC, Nievelstein RA (2010) Whole-body MRI for staging Hodgkin lymphoma in a pregnant patient. Am J Hematol 85(6):443PubMed
42.
go back to reference Montagna E, Peccatori F, Petralia G, Tomasi CN, Iorfida M, Colleoni M (2014) Whole-body magnetic resonance imaging, metastatic breast cancer and pregnancy: a case report. Breast 23(3):295–229CrossRefPubMed Montagna E, Peccatori F, Petralia G, Tomasi CN, Iorfida M, Colleoni M (2014) Whole-body magnetic resonance imaging, metastatic breast cancer and pregnancy: a case report. Breast 23(3):295–229CrossRefPubMed
Metadata
Title
Feasibility of whole-body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study
Authors
Sileny N. Han
Frédéric Amant
Katrijn Michielsen
Frederik De Keyzer
Steffen Fieuws
Kristel Van Calsteren
Raphaëla C. Dresen
Mina Mhallem Gziri
Vincent Vandecaveye
Publication date
01-05-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 5/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5126-z

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