The added value of whole-body magnetic resonance imaging in the management of patients with advanced breast cancer

Fabio Zugni, Francesca Ruju, Paola Pricolo, Sarah Alessi, Monica Iorfida, Marco Angelo Colleoni, Massimo Bellomi, Giuseppe Petralia, Fabio Zugni, Francesca Ruju, Paola Pricolo, Sarah Alessi, Monica Iorfida, Marco Angelo Colleoni, Massimo Bellomi, Giuseppe Petralia

Abstract

This study investigates the impact of whole-body MRI (WB-MRI) in addition to CT of chest-abdomen-pelvis (CT-CAP) and 18F-FDG PET/CT (PET/CT) on systemic treatment decisions in standard clinical practice for patients with advanced breast cancer (ABC). WB-MRI examinations in ABC patients were extracted from our WB-MRI registry (2009-2017). Patients under systemic treatment who underwent WB-MRI and a control examination (CT-CAP or PET/CT) were included. Data regarding progressive disease (PD) reported either on WB-MRI or on the control examinations were collected. Data regarding eventual change in treatment after the imaging evaluation were collected. It was finally evaluated whether the detection of PD by any of the two modalities had induced a change in treatment. Among 910 WB-MRI examinations in ABC patients, 58 had a paired control examination (16 CT-CAP and 42 PET/CT) and were analysed. In 23/58 paired examinations, additional sites of disease were reported only on WB-MRI and not on the control examination. In 17/28 paired examinations, PD was reported only on WB-MRI and not on the control examination. In 14 out of the 28 pairs of examinations that were followed by a change in treatment, PD had been reported only on WBMRI (14/28; 50%), while stable disease had been reported on the control examination. In conclusion, WB-MRI disclosed PD earlier than the control examination (CT-CAP or PET/CT), and it was responsible alone for 50% of all changes in treatment.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Impact on treatment: Overall and…
Fig 1. Impact on treatment: Overall and subgroup analyses.
The flowcharts in this picture illustrate how often the imaging outcomes motivated changes of treatment in our cohort, with a distinction between the cases of PD reported only on WB-MRI and those in which PD was reported on both examinations (WB-MRI and the control examination). The first flowchart includes all 58 paired examinations (overall analysis). Separate analyses are shown for specific subgroups in the following flowcharts, including analyses of all 16 paired examinations in which WB-MRI was paired to CT-CAP, all 42 paired examinations in which WB-MRI was paired to PET/CT and all 19 paired examinations performed in ILC patients. Abbreviations: PD = progressive disease; SD = stable disease.
Fig 2. Nodal recurrence or progression to…
Fig 2. Nodal recurrence or progression to metastatic disease?
36 years old woman with locally advanced ductal breast cancer, after surgery (pT1 N1a M0), local radiation therapy and adjuvant chemotherapy. While under endocrine treatment, an axillary nodal recurrence is diagnosed (histologically proven). In the suspicion of distant metastases, the patient underwent FDG-PET/C. Coronal FDG-PET MIP (a) showed uptake in left axillary lymph nodes (white arrowhead), with no other finding suspicious for metastases. WB-MRI was performed 15 days later: DWI b-900 MIP (b) confirmed the left axillary lymph node metastases (white arrowhead), and detected metastases in bone (left iliac bone, right sacral wing; black arrows), in liver (II and VI segments; white arrows), in lymph nodes (right parasternal, left internal mammary, hepatic hilar, para-aortic and lumbar; red arrows) and in subcutaneous parasternal tissues (black arrowhead). Normal areas of high signal can be seen in cervical and pelvic lymph nodes, brain, spinal cord, spleen, kidneys and in bilateral ovarian cysts. The PD reported at WB-MRI determined a change in treatment from Letrozole to capecitabine, vinorelbine and cyclophosphamide, with additional radiation therapy on bone lesions.
Fig 3
Fig 3
In the same pair of examinations of Fig 2, axial fused FDG-PET/CT showed non-specific FDG uptake in the pelvic bones (a). T1 weighted axial image from WB-MRI showed a suspicious bone lesion in the left iliac bone (arrow in b), which was hyperintense on b-900 DWI images (arrow in c) with low ADC values (d).
Fig 4
Fig 4
In this picture, taken from the same examination of Figs 2 and 3, two different examples of high signal intensity findings in DWI b-900 MIP (a) are illustrated. (b) B-900 DWI images reveal two new hyper intense lesions in the left liver lobe (arrows). (c) In the correspondent ADC map, the lesions (arrows) show low values, which suggest high cellularity, making them suspicious for metastases. (d) B-900 DWI images show bilateral pelvic masses with high signal intensity (arrowheads). (e) The correspondent ADC maps shows the absence of impeded diffusion within the masses, that represent follicular ovarian cysts.
Fig 5. Peritoneal carcinosis undetected at PET/CT.
Fig 5. Peritoneal carcinosis undetected at PET/CT.
Patient with locally advanced ductal breast carcinoma (pT2, N2a, M0) after surgery and 4 cycles of chemotherapy, under endocrine therapy. After suspicious rise in CA15-3 the patient underwent FDG-PET/CT, which showed no suspicious uptake and was reported as negative for distant metastases. Sagittal MIP (a) showed non-specific FDG uptake in the ascending colon and tracer excretion in the urinary tract. Pelvic axial cross-section of the FDG-PET/CT (b) and the co-registered CT image (c) did not show any suspicious uptake or measurable lesion.
Fig 6
Fig 6
In the same patient of Fig 5, the paired WB-MRI showed thickening of the peritoneum in the right pelvis, which was hyper-intense in DWI b-900 sagittal MIP (a) and DWI axial b-900 images (arrow in b), with corresponding reduced ADC values (c). Axial T1 and T2 images confirmed the presence of a suspicious thickening of the right pelvic peritoneum and mesorectal fascia (arrows in d and e). No significant fluid collection can be seen. Other benign high signal intensity areas in the MIP image (a) include salivary glands, spinal cord, silicon breast implant, spleen, kidneys, small bowel and a bartholin’s gland cyst. The PD reported at WB-MRI determined a change in treatment from Letrozole to Fulvestrant.

References

    1. Breast cancer survival statistics | Cancer Research UK [Internet]. [cited 2017 May 13]. Available from:
    1. Sundquist M, Brudin L, Tejler G. Improved survival in metastatic breast cancer 1985–2016. The Breast [Internet]. 2017. February [cited 2017 May 13];31:46–50. Available from: 10.1016/j.breast.2016.10.005
    1. National Collaborating Centre for Cancer (Great Britain). Advanced breast cancer: diagnosis and treatment: full guideline National Collaborating Centre for Cancer; 2009. 98 p.
    1. Coleman RE. Clinical Features of Metastatic Bone Disease and Risk of Skeletal Morbidity. Clin Cancer Res [Internet]. 2006. October 15 [cited 2017 Jun 25];12(20):6243s–6249s. Available from:
    1. Kennecke H, Yerushalmi R, Woods R, Cheang MCU, Voduc D, Speers CH, et al. Metastatic Behavior of Breast Cancer Subtypes. J Clin Oncol [Internet]. 2010. July 10 [cited 2017 Jun 14];28(20):3271–7. Available from: 10.1200/JCO.2009.25.9820
    1. Body J-J, Quinn G, Talbot S, Booth E, Demonty G, Taylor A, et al. Title: Systematic review and meta-analysis on the proportion of patients with breast cancer who develop bone metastases. Crit Rev Oncol [Internet]. 2017. [cited 2017 May 27]; Available from:
    1. POCKETT RD, CASTELLANO D, MCEWAN P, OGLESBY A, BARBER BL, CHUNG K. The hospital burden of disease associated with bone metastases and skeletal-related events in patients with breast cancer, lung cancer, or prostate cancer in Spain. Eur J Cancer Care (Engl) [Internet]. 2010. November [cited 2017 Jun 3];19(6):755–60. Available from:
    1. Cardoso F, Costa A, Senkus E, Aapro M, André F, Barrios CH, et al. 3rd ESO–ESMO international consensus guidelines for Advanced Breast Cancer (ABC 3). The Breast. 2016;
    1. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1). Eur J Cancer [Internet]. 2009. January [cited 2017 Jun 3];45(2):228–47. Available from: 10.1016/j.ejca.2008.10.026
    1. Hamaoka T, Costelloe CM, Madewell JE, Liu P, Berry DA, Islam R, et al. Tumour response interpretation with new tumour response criteria vs the World Health Organisation criteria in patients with bone-only metastatic breast cancer. Br J Cancer [Internet]. 2010. February 16 [cited 2017 Jun 8];102(4):651–7. Available from: 10.1038/sj.bjc.6605546
    1. Lin NU, Thomssen C, Cardoso F, Cameron D, Cufer T, Fallowfield L, et al. International guidelines for management of metastatic breast cancer (MBC) from the European School of Oncology (ESO)–MBC Task Force: Surveillance, staging, and evaluation of patients with early-stage and metastatic breast cancer. The Breast [Internet]. 2013. June [cited 2017 Jun 3];22(3):203–10. Available from: 10.1016/j.breast.2013.03.006
    1. Ulaner GA, Hyman DM, Lyashchenko SK, Lewis JS, Carrasquillo JA. 89Zr-Trastuzumab PET/CT for Detection of Human Epidermal Growth Factor Receptor 2–Positive Metastases in Patients With Human Epidermal Growth Factor Receptor 2–Negative Primary Breast Cancer. Clin Nucl Med [Internet]. 2017. December [cited 2018 May 29];42(12):912–7. Available from: 10.1097/RLU.0000000000001820
    1. Ulaner GA, Goldman DA, Corben A, Lyashchenko SK, Gönen M, Lewis JS, et al. Prospective Clinical Trial of 18 F-Fluciclovine PET/CT for Determining the Response to Neoadjuvant Therapy in Invasive Ductal and Invasive Lobular Breast Cancers. J Nucl Med [Internet]. 2017. July [cited 2018 May 29];58(7):1037–42. Available from:
    1. Ulaner GA, Goldman DA, Gonen M, Pham H, Castillo R, Lyashchenko SK, et al. Initial Results of a Prospective Clinical Trial of 18F-Fluciclovine PET/CT in Newly Diagnosed Invasive Ductal and Invasive Lobular Breast Cancers. J Nucl Med [Internet]. 2016. September 1 [cited 2018 May 29];57(9):1350–6. Available from:
    1. Wibmer AG, Hricak H, Ulaner GA, Weber W. Trends in oncologic hybrid imaging. Eur J hybrid imaging [Internet]. 2018. [cited 2018 May 25];2(1):1 Available from:
    1. Catalano OA, Daye D, Signore A, Iannace C, Vangel M, Luongo A, et al. Staging performance of whole-body DWI, PET/CT and PET/MRI in invasive ductal carcinoma of the breast. Int J Oncol [Internet]. 2017. July [cited 2018 May 29];51(1):281–8. Available from:
    1. Cho N, Im S-A, Cheon GJ, Park I-A, Lee K-H, Kim T-Y, et al. Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy. Eur J Nucl Med Mol Imaging [Internet]. 2018. March 4 [cited 2018 May 29];45(3):328–39. Available from:
    1. Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Van Cauteren M. Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med [Internet]. [cited 2017. May 27];22(4):275–82. Available from:
    1. Kwee TC, Takahara T, Ochiai R, Katahira K, Van Cauteren M, Imai Y, et al. Whole-body diffusion-weighted magnetic resonance imaging. Eur J Radiol [Internet]. 2009. June [cited 2017 May 27];70(3):409–17. Available from:
    1. Padhani AR, Gogbashian A. Bony metastases: assessing response to therapy with whole-body diffusion MRI. Cancer Imaging [Internet]. 2011. October 3 [cited 2017 May 27];(1A):S129–45. Available from:
    1. Padhani AR, Makris A, Gall P, Collins DJ, Tunariu N, de Bono JS. Therapy monitoring of skeletal metastases with whole-body diffusion MRI. J Magn Reson Imaging [Internet]. 2014. May [cited 2017 Jun 3];39(5):1049–78. Available from: 10.1002/jmri.24548
    1. Yankeelov TE, Arlinghaus LR, Li X, Gore JC. The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer. Semin Oncol [Internet]. 2011. February [cited 2017 May 27];38(1):16–25. Available from: 10.1053/j.seminoncol.2010.11.007
    1. Chen L, Liu M, Bao J, Xia Y, Zhang J, Zhang L, et al. The correlation between apparent diffusion coefficient and tumor cellularity in patients: a meta-analysis. PLoS One [Internet]. 2013. [cited 2018 Sep 5];8(11):e79008 Available from: 10.1371/journal.pone.0079008
    1. White NS, McDonald C, McDonald CR, Farid N, Kuperman J, Karow D, et al. Diffusion-weighted imaging in cancer: physical foundations and applications of restriction spectrum imaging. Cancer Res [Internet]. 2014. September 1 [cited 2018 Sep 5];74(17):4638–52. Available from: 10.1158/0008-5472.CAN-13-3534
    1. Feuerlein S, Pauls S, Juchems MS, Stuber T, Hoffmann MHK, Brambs H-J, et al. Pitfalls in Abdominal Diffusion-Weighted Imaging: How Predictive is Restricted Water Diffusion for Malignancy. Am J Roentgenol [Internet]. 2009. October 23 [cited 2018 May 30];193(4):1070–6. Available from:
    1. Morone M, Bali MA, Tunariu N, Messiou C, Blackledge M, Grazioli L, et al. Whole-Body MRI: Current Applications in Oncology. Am J Roentgenol [Internet]. 2017. December 5 [cited 2018 May 30];209(6):W336–49. Available from:
    1. Dimopoulos MA, Hillengass J, Usmani S, Zamagni E, Lentzsch S, Davies FE, et al. Role of Magnetic Resonance Imaging in the Management of Patients With Multiple Myeloma: A Consensus Statement. J Clin Oncol [Internet]. 2015. February 20 [cited 2017 Jun 3];33(6):657–64. Available from: 10.1200/JCO.2014.57.9961
    1. Walker R, Barlogie B, Haessler J, Tricot G, Anaissie E, Shaughnessy JD, et al. Magnetic Resonance Imaging in Multiple Myeloma: Diagnostic and Clinical Implications. J Clin Oncol [Internet]. 2007. March 20 [cited 2017 Jun 3];25(9):1121–8. Available from: 10.1200/JCO.2006.08.5803
    1. Padhani AR, Lecouvet FE, Tunariu N, Koh D, Keyzer F De, Collins DJ, et al. METastasis Reporting and Data System for Prostate Cancer: Practical Guidelines for Acquisition, Interpretation, and Reporting of Whole-body Magnetic Resonance Imaging-based Evaluations of Multiorgan Involvement in Advanced Prostate Cancer. Eur Urol. 2016;(0):1–12.
    1. Shie P, Cardarelli R, Brandon D, Erdman W, Abdulrahim N. Meta-analysis: comparison of F-18 Fluorodeoxyglucose-positron emission tomography and bone scintigraphy in the detection of bone metastases in patients with breast cancer. Clin Nucl Med. 2008;33(2):97–101. 10.1097/RLU.0b013e31815f23b7
    1. Yang H-L, Liu T, Wang X-M, Xu Y, Deng S-M. Diagnosis of bone metastases: a meta-analysis comparing 18FDG PET, CT, MRI and bone scintigraphy. Eur Radiol [Internet]. 2011. December 2 [cited 2017 Jun 3];21(12):2604–17. Available from: 10.1007/s00330-011-2221-4
    1. Michielsen K, Vergote I, Op de beeck K, Amant F, Leunen K, Moerman P, et al. 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 [Internet]. 2014. April 11 [cited 2017 Dec 12];24(4):889–901. Available from:
    1. Fujii S, Matsusue E, Kanasaki Y, Kanamori Y, Nakanishi J, Sugihara S, et al. Detection of peritoneal dissemination in gynecological malignancy: evaluation by diffusion-weighted MR imaging. Eur Radiol [Internet]. 2008. January 14 [cited 2017 Jun 15];18(1):18–23. Available from: 10.1007/s00330-007-0732-9
    1. Kwast ABG, Groothuis-Oudshoorn KCGM, Grandjean I, Ho VKY, Voogd AC, Menke-Pluymers MBE, et al. Histological type is not an independent prognostic factor for the risk pattern of breast cancer recurrences. Breast Cancer Res Treat [Internet]. 2012. August 19 [cited 2017 Jun 25];135(1):271–80. Available from:
    1. Coakley F V., Choi PH, Gougoutas CA, Pothuri B, Venkatraman E, Chi D, et al. Peritoneal Metastases: Detection with Spiral CT in Patients with Ovarian Cancer. Radiology [Internet]. 2002. May [cited 2017 Jun 15];223(2):495–9. Available from: 10.1148/radiol.2232011081
    1. MURAKAMI M, MIYAMOTO T, IIDA T, TSUKADA H, WATANABE M, SHIDA M, et al. Whole-body positron emission tomography and tumor marker CA125 for detection of recurrence in epithelial ovarian cancer. Int J Gynecol Cancer [Internet]. 2006. February [cited 2017 Jun 15];16(S1):99–107. Available from:
    1. Singhai R, Patil VW, Jaiswal SR, Patil SD, Tayade MB, Patil A V. E-Cadherin as a diagnostic biomarker in breast cancer. N Am J Med Sci [Internet]. 2011. May [cited 2017 Jun 25];3(5):227–33. Available from: 10.4297/najms.2011.3227
    1. Goldstein NS. Does the Level of E-Cadherin Expression Correlate With the Primary Breast Carcinoma Infiltration Pattern and Type of Systemic Metastases? Am J Clin Pathol [Internet]. 2002. September 1 [cited 2017 Jun 25];118(3):425–34. Available from:
    1. Ahmad Sarji S. Physiological uptake in FDG PET simulating disease. Biomed Imaging Interv J [Internet]. 2006. October [cited 2017 Jun 25];2(4):e59 Available from: 10.2349/biij.2.4.e59
    1. Prabhakar HB, Sahani D V., Fischman AJ, Mueller PR, Blake MA. Bowel Hot Spots at PET-CT. RadioGraphics [Internet]. 2007. January 1 [cited 2017 Jun 25];27(1):145–59. Available from:
    1. Bos R, van der Hoeven JJM, van der Wall E, van der Groep P, van Diest PJ, Comans EFI, et al. Biologic Correlates of 18 Fluorodeoxyglucose Uptake in Human Breast Cancer Measured by Positron Emission Tomography. J Clin Oncol [Internet]. 2002. January 15 [cited 2017 Jun 25];20(2):379–87. Available from: 10.1200/JCO.2002.20.2.379
    1. Dashevsky BZ, Goldman DA, Parsons M, Gönen M, Corben AD, Jochelson MS, et al. Appearance of untreated bone metastases from breast cancer on FDG PET/CT: importance of histologic subtype. Eur J Nucl Med Mol Imaging [Internet]. 2015. October 14 [cited 2017 Jun 25];42(11):1666–73. Available from:
    1. Kim HY, Yi CA, Lee KS, Chung MJ, Kim YK, Choi BK, et al. Nodal Metastasis in Non–Small Cell Lung Cancer: Accuracy of 3.0-T MR Imaging. Radiology [Internet]. 2008. February [cited 2017 Jun 27];246(2):596–604. Available from: 10.1148/radiol.2461061907
    1. Schmidt GP, Baur-Melnyk A, Herzog P, Schmid R, Tiling R, Schmidt M, et al. High-resolution whole-body magnetic resonance image tumor staging with the use of parallel imaging versus dual-modality positron emission tomography-computed tomography: experience on a 32-channel system. Invest Radiol [Internet]. 2005. December [cited 2017 Jun 27];40(12):743–53. Available from:
    1. Kosmin M, Makris A, Joshi P V., Ah-See M-L, Woolf D, Padhani AR. The addition of whole-body magnetic resonance imaging to body computerised tomography alters treatment decisions in patients with metastatic breast cancer. Eur J Cancer [Internet]. 2017. May [cited 2017 Jun 25];77:109–16. Available from: 10.1016/j.ejca.2017.03.001
    1. Li CI, Uribe DJ, Daling JR. Clinical characteristics of different histologic types of breast cancer. Br J Cancer [Internet]. 2005. October 20 [cited 2017 Dec 12];93(9):1046–52. Available from: 10.1038/sj.bjc.6602787

Source: PubMed

3
Subscribe