18F-fluorothymidine (FLT)-PET and diffusion-weighted MRI for early response evaluation in patients with small cell lung cancer: a pilot study

Tine Nøhr Christensen, Seppo W Langer, Katrine Engholm Villumsen, Helle Hjorth Johannesen, Johan Löfgren, Sune Høgild Keller, Adam Espe Hansen, Andreas Kjaer, Barbara Malene Fischer, Tine Nøhr Christensen, Seppo W Langer, Katrine Engholm Villumsen, Helle Hjorth Johannesen, Johan Löfgren, Sune Høgild Keller, Adam Espe Hansen, Andreas Kjaer, Barbara Malene Fischer

Abstract

Background: Small cell lung cancer (SCLC) is an aggressive cancer often presenting in an advanced stage and prognosis is poor. Early response evaluation may have impact on the treatment strategy.

Aim: We evaluated 18F-fluorothymidine-(FLT)-PET/diffusion-weighted-(DW)-MRI early after treatment start to describe biological changes during therapy, the potential of early response evaluation, and the added value of FLT-PET/DW-MRI.

Methods: Patients with SCLC referred for standard chemotherapy were eligible. FLT-PET/DW-MRI of the chest and brain was acquired within 14 days after treatment start. FLT-PET/DW-MRI was compared with pretreatment FDG-PET/CT. Standardized uptake value (SUV), apparent diffusion coefficient (ADC), and functional tumor volumes were measured. FDG-SUVpeak, FLT-SUVpeak, and ADCmedian; spatial distribution of aggressive areas; and voxel-by-voxel analyses were evaluated to compare the biological information derived from the three functional imaging modalities. FDG-SUVpeak, FLT-SUVpeak, and ADCmedian were also analyzed for ability to predict final treatment response.

Results: Twelve patients with SCLC completed FLT-PET/MRI 1-9 days after treatment start. In nine patients, pretreatment FDG-PET/CT was available for comparison. A total of 16 T-sites and 12 N-sites were identified. No brain metastases were detected. FDG-SUVpeak was 2.0-22.7 in T-sites and 5.5-17.3 in N-sites. FLT-SUVpeak was 0.6-11.5 in T-sites and 1.2-2.4 in N-sites. ADCmedian was 0.76-1.74 × 10- 3 mm2/s in T-sites and 0.88-2.09 × 10-3 mm2/s in N-sites. FLT-SUVpeak correlated with FDG-SUVpeak, and voxel-by-voxel correlation was positive, though the hottest regions were dissimilarly distributed in FLT-PET compared to FDG-PET. FLT-SUVpeak was not correlated with ADCmedian, and voxel-by-voxel analyses and spatial distribution of aggressive areas varied with no systematic relation. LT-SUVpeak was significantly lower in responding lesions than non-responding lesions (mean FLT-SUVpeak in T-sites: 1.5 vs. 5.7; p = 0.007, mean FLT-SUVpeak in N-sites: 1.6 vs. 2.2; p = 0.013).

Conclusions: FLT-PET and DW-MRI performed early after treatment start may add biological information in patients with SCLC. Proliferation early after treatment start measured by FLT-PET is a promising predictor for final treatment response that warrants further investigation.

Trial registration: Clinicaltrials.gov, NCT02995902. Registered 11 December 2014 - Retrospectively registered.

Keywords: 18F-fluorothymidine; DW-MRI; Diffusion-weighted MRI; Early treatment evaluation; FLT-PET; PET/MRI; Prediction of response; Response evaluation; SCLC; Small cell lung cancer.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Overview of the inclusion process
Fig. 2
Fig. 2
Correlations of FDG-SUVpeak, FLT-SUVpeak, and ADCmedian in T-sites (ac) and N-sites (d, e). FDG-SUVpeak vs. FLT-SUVpeak were positive correlated in T-sites (a) and N-sites (d). FDG-SUVpeak vs. ADCmedian was not significantly correlated in T-sites (b), but significantly negative correlated in N-sites (e). ADCmedian vs. FLT-SUVpeak were neither correlated in T-sites (c) nor N-sites (f). Significant correlations (p < 0.05) are marked with *
Fig. 3
Fig. 3
T-site (4-T) with high and heterogeneous FLT-uptake: FDG-PET (axial (a), coronal (b), sagittal (c)), FLT-PET (axial (d), coronal (e), sagittal (f)), and DW-MRI (transversal (g), coronal (h), sagittal (i)), and voxel-by-voxel scatterplot of FDG-SUV vs. FLT-SUV (j) and FLT-SUV vs. ADC (k). This lesion was clearly detectable on FDG-PET (SUVpeak 22.7), detectable but very heterogeneous on FLT-PET (SUVpeak 11.5), and detectable on DW-MRI (ADCmedian 1.43 × 10−3 mm2/s). The most metabolically active region (MTV70) was located caudally, whereas the most proliferative active region (PTV70) was located cranially within the tumor, thus MTV70 and PTV70 showed no overlap. The most water-diffusion restricted regions (DWTV50) were randomly distributed and overlapped partially with both MTV70 and PTV70. The voxel-by-voxel scatter plots (j, k) showed very weak overall correlations. This T-site had no change as response to chemotherapy
Fig. 4
Fig. 4
T-site (1-T) with low FLT-uptake: FDG-PET (axial (a), coronal (b), sagittal (c)), FLT-PET (axial (d), coronal (e), sagittal (f)), and DW-MRI (transversal (g), coronal (h), sagittal (i)), and voxel-by-voxel scatterplot of FDG-SUV vs. FLT-SUV (j). This T-site was clearly detectable on FDG-PET (SUVpeak 16.6); almost indistinguishable from background on FLT-PET (SUVpeak 1.6); and detectable on DW-MRI (ADCmedian 1.22 × 10−3 mm2/s). The low tumor-to-background ratio causes PTV70 to be less convincing, visually. MTV70 and DWTV50 had a partial overlap. The voxel-by-voxel scatter plot of FLT-SUV and FDG-SUV (j) showed an overall moderate positive correlation (r = 0.50), but the very low FLT-SUVs should be noticed, and the correlation may be a result of perfusion to the region rather than a correlation between metabolism and (a very low) proliferation. Voxel-by-voxel analysis was not feasible for FLT-SUV vs. ADC. This T-site had complete response to chemotherapy, and did not relapse during follow up
Fig. 5
Fig. 5
N-site (12-N1): FDG-PET (axial (a), coronal (b), sagittal (c)), FLT-PET (axial (d), coronal (e), sagittal (f)), and DW-MRI (transversal (g), coronal (h), sagittal (i)), and voxel-by-voxel scatterplot of FDG-SUV vs. FLT-SUV (j), and FLT-SUV vs. ADC (k). This N-site were clearly detectable on FDG-PET (SUVpeak 11.6), FLT-uptake was the highest of all N-sites (SUVpeak 2.4), and detectable on DW-MRI (ADCmedian 1.56 × 10−3 mm2/s). The most aggressive regions (MTV70, PTV70, and DWTV50) were located centrally within the tumor on all imaging modalities, and voxel-by-voxel correlations were moderate for FDG-SUV vs. FLT-SUV (r = 0.55) (j) and for FLT-SUV vs. ADC (r = − 0.44) (k). This N-site progressed during chemotherapy
Fig. 6
Fig. 6
FDG-SUVpeak, FLT-SUVpeak, and ADCmedian in lesions with response vs. lesions with no change or progression. T-sites are shown in left panel (ac) and N-sites in right panel (df). Note that no T-sites progressed during chemotherapy, and no N-sites had no change. FLT-SUVpeak was significantly different in T-sites with response vs. no change (b) and in N-sites with response vs. progression (e). Three lesions with response had no signal on DW-MRI and are not included (c). Lesions that were not evaluated for response are included for completeness. NA*: response evaluation was not available due to atelectasis. NA**: The patient died prior to any response evaluation

References

    1. Aktan M, Koc M, Kanyilmaz G, Yavuz BB. Prognostic value of pre-treatment (18)F-FDG-PET uptake in small-cell lung cancer. Ann Nucl Med. 2017;31(6):462–468. doi: 10.1007/s12149-017-1178-z.
    1. Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–354. doi: 10.1007/s00259-014-2961-x.
    1. Brockenbrough JS, Souquet T, Morihara JK, Stern JE, Hawes SE, Rasey JS, et al. Tumor 3′-deoxy-3′-(18)F-fluorothymidine ((18)F-FLT) uptake by PET correlates with thymidine kinase 1 expression: static and kinetic analysis of (18)F-FLT PET studies in lung tumors. J Nucl Med. 2011;52(8):1181–1188. doi: 10.2967/jnumed.111.089482.
    1. Chang H, Lee SJ, Lim J, Lee JS, Kim YJ, Lee WW (2019) Prognostic significance of metabolic parameters measured by (18)F-FDG PET/CT in limited-stage small-cell lung carcinoma. J Cancer Res Clin Oncol 145(5):1361-1367
    1. Crandall JP, Tahari AK, Juergens RA, Brahmer JR, Rudin CM, Esposito G, et al. A comparison of FLT to FDG PET/CT in the early assessment of chemotherapy response in stages IB-IIIA resectable NSCLC. EJNMMI Res. 2017;7(1):8. doi: 10.1186/s13550-017-0258-3.
    1. Cysouw MCF, Kramer GM, Frings V, De Langen AJ, Wondergem MJ, Kenny LM, et al. Baseline and longitudinal variability of normal tissue uptake values of [(18)F]-fluorothymidine-PET images. Nucl Med Biol. 2017;51:18–24. doi: 10.1016/j.nucmedbio.2017.05.002.
    1. Dayen C, Debieuvre D, Molinier O, Raffy O, Paganin F, Virally J, et al. New insights into stage and prognosis in small cell lung cancer: an analysis of 968 cases. J Thorac Dis. 2017;9(12):5101–5111. doi: 10.21037/jtd.2017.11.52.
    1. Dittmann H, Dohmen BM, Paulsen F, Eichhorn K, Eschmann SM, Horger M, et al. [18F] FLT PET for diagnosis and staging of thoracic tumours. Eur J Nucl Med Mol Imaging. 2003;30(10):1407–1412. doi: 10.1007/s00259-003-1257-3.
    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. 2009;45(2):228–247. doi: 10.1016/j.ejca.2008.10.026.
    1. Everitt S, Ball D, Hicks RJ, Callahan J, Plumridge N, Trinh J, et al. Prospective study of serial imaging comparing fluorodeoxyglucose positron emission tomography (PET) and fluorothymidine PET during radical chemoradiation for non-small cell lung cancer: reduction of detectable proliferation associated with worse survival. Int J Radiat Oncol Biol Phys. 2017;99(4):947–955. doi: 10.1016/j.ijrobp.2017.07.035.
    1. Everitt SJ, Ball DL, Hicks RJ, Callahan J, Plumridge N, Collins M, et al. Differential (18)F-FDG and (18)F-FLT uptake on serial PET/CT imaging before and during definitive chemoradiation for non-small cell lung cancer. J Nucl Med. 2014;55(7):1069–1074. doi: 10.2967/jnumed.113.131631.
    1. Fischer BM, Mortensen J, Langer SW, Loft A, Berthelsen AK, Daugaard G, et al. PET/CT imaging in response evaluation of patients with small cell lung cancer. Lung Cancer. 2006;54(1):41–49. doi: 10.1016/j.lungcan.2006.06.012.
    1. Fu L, Zhu Y, Jing W, Guo D, Kong L, Yu J. Incorporation of circulating tumor cells and whole-body metabolic tumor volume of (18)F-FDG PET/CT improves prediction of outcome in IIIB stage small-cell lung cancer. Chin J Cancer Res. 2018;30(6):596–604. doi: 10.21147/j.issn.1000-9604.2018.06.04.
    1. Fujii M, Hotta K, Takigawa N, Hisamoto A, Ichihara E, Tabata M, et al. Influence of the timing of tumor regression after the initiation of chemoradiotherapy on prognosis in patients with limited-disease small-cell lung cancer achieving objective response. Lung Cancer. 2012;78(1):107–111. doi: 10.1016/j.lungcan.2012.07.001.
    1. Gerbaudo VH, Killoran JH, Kim CK, Hornick JL, Nowak JA, Enzinger PC, et al. Pilot study of serial FLT and FDG-PET/CT imaging to monitor response to neoadjuvant chemoradiotherapy of esophageal adenocarcinoma: correlation with histopathologic response. Ann Nucl Med. 2018;32(3):165–174. doi: 10.1007/s12149-018-1229-0.
    1. Halvorsen TO. Herje M, Levin N, Bremnes RM, Brustugun OT, Flotten O, et al. Tumour size reduction after the first chemotherapy-course and outcomes of chemoradiotherapy in limited disease small-cell lung cancer. Lung Cancer. 2016;102:9–14. doi: 10.1016/j.lungcan.2016.10.003.
    1. Horn L, Mansfield AS, Szczesna A, Havel L, Krzakowski M, Hochmair MJ et al (2018) First-line Atezolizumab plus chemotherapy in extensive-stage small-cell lung cancer. N Engl J Med 379(23):2220-2229
    1. Hoshikawa H, Kishino T, Mori T, Nishiyama Y, Yamamoto Y, Mori N. The value of 18F-FLT PET for detecting second primary cancers and distant metastases in head and neck cancer patients. Clin Nucl Med. 2013;38(8):e318–e323. doi: 10.1097/RLU.0b013e3182815fe1.
    1. Jensen MM, Erichsen KD, Bjorkling F, Madsen J, Jensen PB, Hojgaard L, et al. Early detection of response to experimental chemotherapeutic Top216 with [18F] FLT and [18F] FDG PET in human ovary cancer xenografts in mice. PLoS One. 2010;5(9):e12965. doi: 10.1371/journal.pone.0012965.
    1. Jensen MM, Kjaer A. Monitoring of anti-cancer treatment with (18)F-FDG and (18)F-FLT PET: a comprehensive review of pre-clinical studies. Am J Nucl Med Mol Imaging. 2015;5(5):431–456.
    1. Kahraman D, Holstein A, Scheffler M, Zander T, Nogova L, Lammertsma AA, et al. Tumor lesion glycolysis and tumor lesion proliferation for response prediction and prognostic differentiation in patients with advanced non-small cell lung cancer treated with erlotinib. Clin Nucl Med. 2012;37(11):1058–1064. doi: 10.1097/RLU.0b013e3182639747.
    1. Kahraman D, Scheffler M, Zander T, Nogova L, Lammertsma AA, Boellaard R, et al. Quantitative analysis of response to treatment with erlotinib in advanced non-small cell lung cancer using 18F-FDG and 3′-deoxy-3′-18F-fluorothymidine PET. J Nucl Med. 2011;52(12):1871–1877. doi: 10.2967/jnumed.111.094458.
    1. Keller SH, Holm S, Hansen AE, Sattler B, Andersen F, Klausen TL, et al. Image artifacts from MR-based attenuation correction in clinical, whole-body PET/MRI. MAGMA. 2013;26(1):173–181. doi: 10.1007/s10334-012-0345-4.
    1. Kim H, Yoo IR, Boo SH, Park HL, OJH KSH. Prognostic value of pre- and post-treatment FDG PET/CT parameters in small cell lung Cancer patients. Nucl Med Mol Imaging. 2018;52(1):31–38. doi: 10.1007/s13139-017-0490-9.
    1. Kishino T, Hoshikawa H, Nishiyama Y, Yamamoto Y, Mori N. Usefulness of 3′-deoxy-3′-18F-fluorothymidine PET for predicting early response to chemoradiotherapy in head and neck cancer. J Nucl Med. 2012;53(10):1521–1527. doi: 10.2967/jnumed.111.099200.
    1. Langer NH, Christensen TN, Langer SW, Kjaer A, Fischer BM. PET/CT in therapy evaluation of patients with lung cancer. Expert Rev Anticancer Ther. 2014;14(5):595–620. doi: 10.1586/14737140.2014.883280.
    1. Lattuca-Truc M, Timsit JF, Levra MG, Ruckly S, Villa J, Dumas I, et al. Trends in response rate and survival in small-cell lung cancer patients between 1997 and 2017. Lung Cancer. 2019;131:122–127. doi: 10.1016/j.lungcan.2019.03.028.
    1. Lee J, Kim JO, Jung CK, Kim YS, Yoo Ie R, Choi WH, et al. Metabolic activity on [18f]-fluorodeoxyglucose-positron emission tomography/computed tomography and glucose transporter-1 expression might predict clinical outcomes in patients with limited disease small-cell lung cancer who receive concurrent chemoradiation. Clin Lung Cancer. 2014;15(2):e13–e21. doi: 10.1016/j.cllc.2013.09.005.
    1. Lee J, Lee J, Choi J, Kim JW, Cho J, Lee CG. Early treatment volume reduction rate as a prognostic factor in patients treated with chemoradiotherapy for limited stage small cell lung cancer. Radiat Oncol J. 2015;33(2):117–125. doi: 10.3857/roj.2015.33.2.117.
    1. Leimgruber A, Moller A, Everitt SJ, Chabrot M, Ball DL, Solomon B, et al. Effect of platinum-based chemoradiotherapy on cellular proliferation in bone marrow and spleen, estimated by (18)F-FLT PET/CT in patients with locally advanced non-small cell lung cancer. J Nucl Med. 2014;55(7):1075–1080. doi: 10.2967/jnumed.113.136127.
    1. Luis G, JMTP P-A, Besse B, Moreno V, Lopez R, Sala MA, et al. Efficacy and safety profile of lurbinectedin in second-line SCLC patients: results from a phase II single-agent trial. J Clin Oncol. 2019;37:suppl; abstr 8506.
    1. Mileshkin L, Hicks RJ, Hughes BG, Mitchell PL, Charu V, Gitlitz BJ, et al. Changes in 18F-fluorodeoxyglucose and 18F-fluorodeoxythymidine positron emission tomography imaging in patients with non-small cell lung cancer treated with erlotinib. Clin Cancer Res. 2011;17(10):3304–3315. doi: 10.1158/1078-0432.CCR-10-2763.
    1. Minamimoto R, Fayad L, Advani R, Vose J, Macapinlac H, Meza J, et al. Diffuse large B-cell lymphoma: prospective multicenter comparison of early interim FLT PET/CT versus FDG PET/CT with IHP, EORTC, Deauville, and PERCIST criteria for early therapeutic monitoring. Radiology. 2016;280(1):220–229. doi: 10.1148/radiol.2015150689.
    1. Mirili C, Guney IB, Paydas S, Seydaoglu G, Kapukaya TK, Ogul A, et al. Prognostic significance of neutrophil/lymphocyte ratio (NLR) and correlation with PET-CT metabolic parameters in small cell lung cancer (SCLC) Int J Clin Oncol. 2019;24(2):168–178. doi: 10.1007/s10147-018-1338-8.
    1. Mudd SR, Holich KD, Voorbach MJ, Cole TB, Reuter DR, Tapang P, et al. Pharmacodynamic evaluation of irinotecan therapy by FDG and FLT PET/CT imaging in a colorectal cancer xenograft model. Mol Imaging Biol. 2012;14(5):617–624. doi: 10.1007/s11307-011-0529-8.
    1. Nakajo M, Nakajo M, Jinguji M, Tani A, Kajiya Y, Tanabe H, et al. Diagnosis of metastases from postoperative differentiated thyroid cancer: comparison between FDG and FLT PET/CT studies. Radiology. 2013;267(3):891–901. doi: 10.1148/radiol.13121546.
    1. Nestle U, De Ruysscher D, Ricardi U, Geets X, Belderbos J, Pottgen C, et al. ESTRO ACROP guidelines for target volume definition in the treatment of locally advanced non-small cell lung cancer. Radiother Oncol. 2018;127(1):1–5. doi: 10.1016/j.radonc.2018.02.023.
    1. Nguyen NC, Yee MK, Tuchayi AM, Kirkwood JM, Tawbi H, Mountz JM. Targeted therapy and immunotherapy response assessment with F-18 Fluorothymidine positron-emission tomography/magnetic resonance imaging in melanoma brain metastasis: a pilot study. Front Oncol. 2018;8:18. doi: 10.3389/fonc.2018.00018.
    1. Nikaki A, Angelidis G, Efthimiadou R, Tsougos I, Valotassiou V, Fountas K, et al. (18)F-fluorothymidine PET imaging in gliomas: an update. Ann Nucl Med. 2017;31(7):495–505. doi: 10.1007/s12149-017-1183-2.
    1. Olin A, Ladefoged CN, Langer NH, Keller SH, Lofgren J, Hansen AE, et al. Reproducibility of MR-based attenuation maps in PET/MRI and the impact on PET quantification in lung cancer. J Nucl Med. 2018;59(6):999–1004. doi: 10.2967/jnumed.117.198853.
    1. Pardo OE, Latigo J, Jeffery RE, Nye E, Poulsom R, Spencer-Dene B, et al. The fibroblast growth factor receptor inhibitor PD173074 blocks small cell lung cancer growth in vitro and in vivo. Cancer Res. 2009;69(22):8645–8651. doi: 10.1158/0008-5472.CAN-09-1576.
    1. Park SB, Choi JY, Moon SH, Yoo J, Kim H, Ahn YC, et al. Prognostic value of volumetric metabolic parameters measured by [18F]fluorodeoxyglucose-positron emission tomography/computed tomography in patients with small cell lung cancer. Cancer Imaging. 2014;14:2. doi: 10.1186/1470-7330-14-2.
    1. Rasmussen JH, Fischer BM, Aznar MC, Hansen AE, Vogelius IR, Lofgren J, et al. Reproducibility of (18)F-FDG PET uptake measurements in head and neck squamous cell carcinoma on both PET/CT and PET/MR. Br J Radiol. 2015;88(1048):20140655. doi: 10.1259/bjr.20140655.
    1. Ready N, Farago AF, de Braud F, Atmaca A, Hellmann MD, Schneider JG et al (2018) Third-line Nivolumab Monotherapy in recurrent small cell lung cancer: CheckMate 032. J Thorac Oncol 14(2):237-244
    1. Ruben JD, Ball DL. The efficacy of PET staging for small-cell lung cancer: a systematic review and cost analysis in the Australian setting. J Thorac Oncol. 2012;7(6):1015–1020. doi: 10.1097/JTO.0b013e31824fe90a.
    1. Samarin A, Burger C, Wollenweber SD, Crook DW, Burger IA, Schmid DT, et al. PET/MR imaging of bone lesions—implications for PET quantification from imperfect attenuation correction. Eur J Nucl Med Mol Imaging. 2012;39(7):1154–1160. doi: 10.1007/s00259-012-2113-0.
    1. Shen G, Jia Z, Deng H. Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis. Eur Radiol. 2016;26(2):556–566. doi: 10.1007/s00330-015-3840-y.
    1. Sohn HJ, Yang YJ, Ryu JS, Oh SJ, Im KC, Moon DH, et al. [18F] Fluorothymidine positron emission tomography before and 7 days after gefitinib treatment predicts response in patients with advanced adenocarcinoma of the lung. Clin Cancer Res. 2008;14(22):7423–7429. doi: 10.1158/1078-0432.CCR-08-0312.
    1. Thureau S, Chaumet-Riffaud P, Modzelewski R, Fernandez P, Tessonnier L, Vervueren L, et al. Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3′-18F-fluorothymidine PET images in lung cancer. J Nucl Med. 2013;54(9):1543–1550. doi: 10.2967/jnumed.112.118083.
    1. Trigonis I, Koh PK, Taylor B, Tamal M, Ryder D, Earl M, et al. Early reduction in tumour [18F] fluorothymidine (FLT) uptake in patients with non-small cell lung cancer (NSCLC) treated with radiotherapy alone. Eur J Nucl Med Mol Imaging. 2014;41(4):682–693. doi: 10.1007/s00259-013-2632-3.
    1. Tsuchida T, Morikawa M, Demura Y, Umeda Y, Okazawa H, Kimura H. Imaging the early response to chemotherapy in advanced lung cancer with diffusion-weighted magnetic resonance imaging compared to fluorine-18 fluorodeoxyglucose positron emission tomography and computed tomography. J Magn Reson Imaging. 2013;38(1):80–88. doi: 10.1002/jmri.23959.
    1. Usuda K, Funasaki A, Sekimura A, Motono N, Matoba M, Doai M, et al. FDG-PET/CT and diffusion-weighted imaging for resected lung cancer: correlation of maximum standardized uptake value and apparent diffusion coefficient value with prognostic factors. Med Oncol. 2018;35(5):66. doi: 10.1007/s12032-018-1128-1.
    1. van Loon J, van Baardwijk A, Boersma L, Ollers M, Lambin P, De Ruysscher D. Therapeutic implications of molecular imaging with PET in the combined modality treatment of lung cancer. Cancer Treat Rev. 2011;37(5):331–343. doi: 10.1016/j.ctrv.2011.01.005.
    1. Vercellino L, Ouvrier MJ, Barre E, Cassinat B, de Beco V, Dosquet C, et al. Assessing bone marrow activity in patients with myelofibrosis: results of a pilot study of (18)F-FLT PET. J Nucl Med. 2017;58(10):1603–1608. doi: 10.2967/jnumed.116.188508.
    1. Weiss E, Ford JC, Olsen KM, Karki K, Saraiya S, Groves R, et al. Apparent diffusion coefficient (ADC) change on repeated diffusion-weighted magnetic resonance imaging during radiochemotherapy for non-small cell lung cancer: a pilot study. Lung Cancer. 2016;96:113–119. doi: 10.1016/j.lungcan.2016.04.001.
    1. Yabuuchi H, Hatakenaka M, Takayama K, Matsuo Y, Sunami S, Kamitani T, et al. Non-small cell lung cancer: detection of early response to chemotherapy by using contrast-enhanced dynamic and diffusion-weighted MR imaging. Radiology. 2011;261(2):598–604. doi: 10.1148/radiol.11101503.
    1. Yamamoto Y, Kameyama R, Murota M, Bandoh S, Ishii T, Nishiyama Y. Early assessment of therapeutic response using FDG PET in small cell lung cancer. Mol Imaging Biol. 2009;11(6):467–472. doi: 10.1007/s11307-009-0227-y.
    1. Yap CS, Czernin J, Fishbein MC, Cameron RB, Schiepers C, Phelps ME, et al. Evaluation of thoracic tumors with 18F-fluorothymidine and 18F-fluorodeoxyglucose-positron emission tomography. Chest. 2006;129(2):393–401. doi: 10.1378/chest.129.2.393.
    1. Yu J, Li W, Zhang Z, Yu T, Li D. Prediction of early response to chemotherapy in lung cancer by using diffusion-weighted MR imaging. TheScientificWorldJournal. 2014;2014:135841.

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