Dynamic Contrast-enhanced Area-detector CT vs Dynamic Contrast-enhanced Perfusion MRI vs FDG-PET/CT: Comparison of Utility for Quantitative Therapeutic Outcome Prediction for NSCLC Patients Undergoing Chemoradiotherapy

Shinichiro Seki, Yasuko Fujisawa, Masao Yui, Yuji Kishida, Hisanobu Koyama, Shigeharu Ohyu, Naoki Sugihara, Takeshi Yoshikawa, Yoshiharu Ohno, Shinichiro Seki, Yasuko Fujisawa, Masao Yui, Yuji Kishida, Hisanobu Koyama, Shigeharu Ohyu, Naoki Sugihara, Takeshi Yoshikawa, Yoshiharu Ohno

Abstract

Purpose: To directly compare the utility for therapeutic outcome prediction of dynamic first-pass contrast-enhanced (CE)-perfusion area-detector computed tomography (ADCT), MR imaging assessed with the same mathematical method and 2-[fluorine-18]-fluoro-2-deoxy-d-glucose-positron emission tomography combined with CT (PET/CT) for non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy.

Materials and methods: Forty-three consecutive stage IIIB NSCLC patients, consisting of 25 males (mean age ± standard deviation: 66.6 ± 8.7 years) and 18 females (66.4 ± 8.2 years) underwent PET/CT, dynamic CE-perfusion ADCT and MR imaging, chemoradiotherapy, and follow-up examination. In each patient, total, pulmonary arterial, and systemic arterial perfusions were calculated from both perfusion data and SUVmax on PET/CT, assessed for each targeted lesion, and averaged to determine final values. Receiver operating characteristics analyses were performed to compare the utility for distinguishing responders from non-responders using Response Evaluation Criteria in Solid Tumor (RECIST) 1.1 criteria. Overall survival (OS) assessed with each index were compared between two groups by means of the Kaplan-Meier method followed by the log-rank test.

Results: Area under the curve (Az) for total perfusion on ADCT was significantly larger than that of pulmonary arterial perfusion (P < 0.05). Az of total perfusion on MR imaging was significantly larger than that of pulmonary arterial perfusion (P < 0.05). Mean OS of responder and non-responder groups were significantly different for total and systemic arterial (P < 0.05) perfusion.

Conclusion: Dynamic first-pass CE-perfusion ADCT and MR imaging as well as PET/CT are useful for early prediction of treatment response by NSCLC patients treated with chemoradiotherapy.

Keywords: computed tomography; magnetic resonance imaging; non-small cell lung cancer; positron emission tomography combined with computed tomography; therapeutic effect.

Conflict of interest statement

Conflicts of Interest

Drs. Ohno, Yoshikawa and Seki had research grants from Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science and Technology (JSTS.KAKEN; No. 24591762), Canon Medical Systems Corporation, Bayer Pharma and Guerbet Japan. Dr. Ohno and Ms. Fujisawa had research grant from the Adaptive and Seamless Technology Transfer Program through Target Driven R & D from the Japan Science and Technology (JST) Agency (AS2511335P).

Four of the authors (Yasuko Fujisawa, Masao Yui, Shigeharu Ohyu and Naoki Sugihara), who are employees of Canon Medical Systems Corporation, developed the software, but had no control over any data or information submitted for publication or any control over any parts of data and information included in this study.

Figures

Fig. 1
Fig. 1
A 81-year-old male patient with squamous cell carcinoma treated with chemoradiotherapy and assessed as NC. Progression-free and overall survival at 15 and 24 months. (a) Thin-section MPR image from thin-section CT data (L to R: MPR images obtained pre- and post-treatment at lung window setting) show lung cancer in the right upper lobe. This case was assessed as NC by response evaluation criteria in solid tumors (RECIST ver.1.1). (b) Perfusion maps derived from dynamic first-pass CE-perfusion area detector CT assessed with the dual-input maximum slope method (L to R: pulmonary arterial perfusion, systemic arterial perfusion and total perfusion maps) for the same targeted lesion. Pulmonary arterial perfusion, systemic arterial perfusion and total perfusion were 13.6, 18.9, and 32.5 ml/100 ml/min, respectively. This case was assessed as a RECIST-based non-responder for systemic arterial and total perfusions, and as true-positive. (c) Source image and perfusion maps on dynamic first-pass CE-perfusion MR imaging assessed with the dual-input maximum slope method (L to R: source image, pulmonary arterial perfusion, systemic arterial perfusion, and total perfusion maps) for the same targeted lesion. Pulmonary arterial perfusion, systemic arterial perfusion, and total perfusion were 9.2, 28.9, and 38.1 ml/100 ml/min, respectively. This case was also assessed as a RECIST-based non-responder for systemic arterial and total perfusions, and as true-positive. However, this case was evaluated as responder and as false-positive on the basis of pulmonary arterial perfusion findings. (d) PET/CT demonstrates high uptake of 2-[fluorine-18]-fluoro-2-deoxy-d-glucose, and SUVmax was evaluated as 4.7. This case was evaluated as a RECIST-responder and assessed as false-negative. PR, partial response; MPR, multiplanar reformatted; RECIST, Response Evaluation Criteria in Solid Tumor; CE, contrast-enhanced; SUV, standardized uptake value; PET, positron emission tomography.
Fig. 2
Fig. 2
Receiver operating characteristics analysis of radiological indices disclosed significant differences between the RECIST responder and non-responder groups (red line: total perfusion on dynamic first-pass CE-perfusion ADCT; blue line: pulmonary arterial perfusion on dynamic first-pass CE-perfusion ADCT; green line: systemic arterial perfusion on dynamic first-pass CE-perfusion ADCT; pink line: total perfusion on dynamic first-pass CE-perfusion MR imaging; sky blue line: pulmonary arterial perfusion on dynamic first-pass CE-perfusion MR imaging; yellow-green line: systemic arterial perfusion on dynamic first-pass CE-perfusion MR imaging; yellow: SUVmax). AZs for indices on dynamic first-pass CE-perfusion ADCT were as follows: total perfusion, Az = 0.87; pulmonary arterial perfusion, Az = 0.72; systemic arterial perfusion, Az = 0.84. Moreover, Az for indices on dynamic first-pass CE-perfusion MR imaging were as follows: total perfusion, Az = 0.90; pulmonary arterial perfusion, Az = 0.72; systemic arterial perfusion, Az = 0.84. In addition, Az of SUVmax was assessed as 0.78. Az for total perfusion on dynamic first-pass CE-perfusion ADCT was significantly larger than that for pulmonary arterial perfusion using either method (ADCT: P = 0.003, MR imaging: P = 0.003). In addition, Az for total perfusion on dynamic first-pass CE-perfusion MR imaging was significantly larger than that for pulmonary arterial perfusion using either method (ADCT: P = 0.002, MR imaging: P = 0.002). The feasible threshold values for all indices were determined for dynamic CE-perfusion ADCT (total perfusion, 29.2 ml/100 ml/min; pulmonary arterial perfusion, 15.5 ml/100 ml/min; systemic arterial perfusion, 11.0 ml/100 ml/min), dynamic CE-perfusion MR imaging (total perfusion, 37.5 ml/100 ml/min; pulmonary arterial perfusion, 16.3 ml/100 ml/min; systemic arterial perfusion, 16.5 ml/100 ml/min) and PET/CT (5.7 for SUVmax). ADCT, area-detector computed tomography; CE, contrast-enhanced; SUV, standardized uptake value; Az, area under the curve; PET/CT, positron emission tomography combined with CT.

References

    1. Aupérin A, Le Péchoux C, Rolland E, et al. Meta-analysis of concomitant versus sequential radiochemotherapy in locally advanced non-small-cell lung cancer. J Clin Oncol 2010; 28:2181–2190.
    1. Mac Manus MP, Hicks RJ, Matthews JP, et al. Positron emission tomography is superior to computed tomography scanning for response-assessment after radical radiotherapy or chemoradiotherapy in patients with non-small-cell lung cancer. J Clin Oncol 2003; 21:1285–1292.
    1. Ohno Y, Nogami M, Higashino T, et al. Prognostic value of dynamic MR imaging for non-small-cell lung cancer patients after chemoradiotherapy. J Magn Reson Imaging. 2005; 21:775–783.
    1. Mac Manus M, Hicks RJ, Everitt S. Role of PET-CT in the optimization of thoracic radiotherapy. J Thorac Oncol. 2006; 1:81–84.
    1. Wang J, Wu N, Cham MD, Song Y. Tumor response in patients with advanced non-small cell lung cancer: perfusion CT evaluation of chemotherapy and radiation therapy. AJR Am J Roentgenol 2009; 193:1090–1096.
    1. Ng QS, Goh V, Milner J, et al. Quantitative helical dynamic contrast enhanced computed tomography assessment of the spatial variation in whole tumour blood volume with radiotherapy in lung cancer. Lung Cancer 2010; 69:71–76.
    1. Fraioli F, Anzidei M, Zaccagna F, et al. Whole-tumor perfusion CT in patients with advanced lung adenocarcinoma treated with conventional and antiangiogenetic chemotherapy: initial experience. Radiology 2011; 259:574–582.
    1. Yabuuchi H, Hatakenaka M, Takayama K, 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; 261:598–604.
    1. Ohno Y, Koyama H, Yoshikawa T, et al. Diffusion-weighted MRI versus 18F-FDG PET/CT: performance as predictors of tumor treatment response and patient survival in patients with non-small cell lung cancer receiving chemoradiotherapy. AJR Am J Roentgenol 2012; 198: 75–82.
    1. Tacelli N, Santangelo T, Scherpereel A, et al. Perfusion CT allows prediction of therapy response in non-small cell lung cancer treated with conventional and anti-angiogenic chemotherapy. Eur Radiol 2013; 23:2127–2136.
    1. Hwang SH, Yoo MR, Park CH, Jeon TJ, Kim SJ, Kim TH. Dynamic contrast-enhanced CT to assess metabolic response in patients with advanced non-small cell lung cancer and stable disease after chemotherapy or chemoradiotherapy. Eur Radiol 2013; 23:1573–1581.
    1. Nishino M, Hatabu H, Johnson BE, McLoud TC. State of the art: response assessment in lung cancer in the era of genomic medicine. Radiology 2014; 271:6–27.
    1. Sudarski S, Shi J, Schmid-Bindert G, et al. Dynamic volume perfusion computed tomography parameters versus RECIST for the prediction of outcome in lung cancer patients treated with conventional chemotherapy. J Thorac Oncol 2015; 10:164–171.
    1. Ohno Y, Koyama H, Fujisawa Y, et al. Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients: influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy. Eur J Radiol 2016; 85:176–186.
    1. Ohno Y, Fujisawa Y, Koyama H, et al. Dynamic contrast-enhanced perfusion area-detector CT assessed with various mathematical models: its capability for therapeutic outcome prediction for non-small cell lung cancer patients with chemoradiotherapy as compared with that of FDG-PET/CT. Eur J Radiol 2017; 86:83–91.
    1. Ohno Y, Koyama H, Matsumoto K, et al. Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT. Radiology 2011; 258:599–609.
    1. Ohno Y, Nishio M, Koyama H, et al. Comparison of quantitatively analyzed dynamic area-detector CT using various mathematic methods with FDG PET/CT in management of solitary pulmonary nodules. AJR Am J Roentgenol 2013; 200:W593–W602.
    1. Ohno Y, Nishio M, Koyama H, et al. Solitary pulmonary nodules: comparison of dynamic first-pass contrast-enhanced perfusion area-detector CT, dynamic first-pass contrast-enhanced MR imaging, and FDG PET/CT. Radiology 2015; 274:563–575.
    1. Ohno Y, Hatabu H, Murase K, et al. Quantitative assessment of regional pulmonary perfusion in the entire lung using three-dimensional ultrafast dynamic contrast-enhanced magnetic resonance imaging: preliminary experience in 40 subjects. J Magn Reson Imaging 2004; 20:353–365.
    1. Ohno Y, Hatabu H, Murase K, et al. Primary pulmonary hypertension: 3D dynamic perfusion MRI for quantitative analysis of regional pulmonary perfusion. AJR Am J Roentgenol 2007; 188:48–56.
    1. Ohno Y, Koyama H, Nogami M, et al. Dynamic perfusion MRI: capability for evaluation of disease severity and progression of pulmonary arterial hypertension in patients with connective tissue disease. J Magn Reson Imaging 2008; 28:887–899.
    1. Ohno Y, Koyama H, Matsumoto K, et al. Dynamic MR perfusion imaging: capability for quantitative assessment of disease extent and prediction of outcome for patients with acute pulmonary thromboembolism. J Magn Reson Imaging 2010; 31:1081–1090.
    1. Ohno Y, Koyama H, Yoshikawa T, et al. Contrast-enhanced multidetector-row computed tomography vs. time-resolved magnetic resonance angiography vs. contrast-enhanced perfusion MRI: assessment of treatment response by patients with inoperable chronic thromboembolic pulmonary hypertension. J Magn Reson Imaging 2012; 36:612–623.
    1. Schoenfeld C, Cebotari S, Hinrichs J, et al. MR imaging-derived regional pulmonary parenchymal perfusion and cardiac function for monitoring patients with chronic thromboembolic pulmonary hypertension before and after pulmonary endarterectomy. Radiology 2016; 279:925–934.
    1. Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009; 45:228–247.
    1. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1:307–310.
    1. Bland JM, Altman DG. Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet 1995; 346:1085–1087.
    1. Philips TL. Radiation-chemotherapy interaction, In: Pass HI, Mitchell JB, Johnson DH, Turrisi AT, eds. Lung Cancer Principles and Practice. Philadelphia: Lippincott-Raven, 1996; 251–270.
    1. Robins Environmental and nutritional pathology, In: Cotran RS, Kumar V, Collins T, eds. Pathologic Basis of Disease, 6th ed Philadelphia: W.B. Saunders, 1999; 403–491.
    1. Ohno Y, Nishio M, Koyama H, et al. Dynamic contrast-enhanced CT and MRI for pulmonary nodule assessment. AJR Am J Roentgenol 2014; 202:515–529.
    1. Weinberger SE. Interstitial diseases associated with known etiology agent, In: Weinberger SE, ed. Principle of Pulmonary Medicine, 3rd ed Philadelphia, London, New York, St. Louis, Sydney, Toronto: W.B. Saunders, 1998; 141–153.

Source: PubMed

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