nach oben

Erschienen in:

20.06.2020 | Original Article

High detection sensitivity and reliable morphological correlation of PET with a silicon photomultiplier for primary tongue squamous cell carcinoma

verfasst von: Ikuho Kojima, Kentaro Takanami, Takenori Ogawa, Maya Sakamoto, Hirokazu Nagai, Hitoshi Miyashita, Masahiro Iikubo

Erschienen in: Annals of Nuclear Medicine | Ausgabe 9/2020

Einloggen, um Zugang zu erhalten

Abstract

Objective

A positron emission tomography (PET) scanner using a silicon photomultiplier (SiPM PET) in place of a photomultiplier tube significantly improves the spatial and time resolution. It may also improve the evaluation of smaller lesions compared to conventional (non-SiPM) PET scanners. We compared the maximum standardized uptake value (SUV_max), detection sensitivity, and morphological correlation using magnetic resonance imaging (MRI) for primary tongue squamous cell carcinoma between the SiPM PET and non-SiPM PET scanner.

Methods

We retrospectively reviewed the F-18 fluorodeoxyglucose (FDG) PET/CT features of tongue squamous cell carcinomas in consecutive, newly diagnosed, and pathologically verified patients. Twenty-five of 46 patients were scanned using SiPM PET scanner and the remaining 21 patients were scanned with a non-SiPM PET scanner. We compared the SUV_max and visual evaluation of primary tumor detectability, and the correlation between the PET-based and MRI-based tumor size (long axis, thickness, and volume). Differences in SUV_max and detection sensitivity for the primary tumor were analyzed using Welch’s t test and Fisher’s exact test, respectively. Correlations among the PET-based, MRI-based tumor size, and SUV_max were assessed using Spearman’s rank correlation coefficient.

Results

SUV_max of both T1/T2 and T3/T4 primary tumors were significantly higher for the SiPM PET (T1/T2 mean SUV_max: 6.6 ± 4.3, T3/T4 mean SUV_max: 18.2 ± 9.8) than that for the non-SiPM PET (T1/T2 mean SUV_max: 3.4 ± 1.4, T3/T4 mean SUV_max: 10.2 ± 4.9) (P < 0.05). While all cases of T3/T4 primary tumors were detected by both PET scanners, the detection sensitivity for T1/T2 primary tumors was significantly higher for the SiPM PET (80%) than that for the non-SiPM PET (36.4%) (P < 0.05). MRI-based tumor size correlated significantly with SiPM PET-based tumor long axis (ρ = 0.74) and volume (ρ = 0.91), but not with the non-SiPM PET-based tumor long axis and volume in T1/T2 primary lesions. Correlation between MRI-based tumor size and SUV_max was significant in both PET scanners; however, no significant difference was observed between the two scanners.

Conclusions

The SiPM PET provides better detection sensitivity and a reliable morphological correlation for the T1/T2 primary tongue tumors than the non-SiPM PET due to its high performance.

Kunkel M, Forster GJ, Reichert TE, Jeong JH, Benz P, Bartenstein P, et al. Detection of recurrent oral squamous cell carcinoma by [18F]-2-fluorodeoxyglucose-positron emission tomography: implications for prognosis and patient management. Cancer. 2003;98(10):2257–65.PubMedCrossRef

Rege S, Safa AA, Chaiken L, Hoh C, Juillard G, Withers HR. Positron emission tomography: an independent indicator of radiocurability in head and neck carcinomas. Am J Clin Oncol. 2000;23(2):164–9.PubMedCrossRef

Dibble EH, Alvarez AC, Truong MT, Mercier G, Cook EF, Subramaniam RM. 18F-FDG metabolic tumor volume and total glycolytic activity of oral cavity and oropharyngeal squamous cell cancer: adding value to clinical staging. J Nucl Med. 2012;53(5):709–15.PubMedCrossRef

Avril NE, Weber WA. Monitoring response to treatment in patients utilizing PET. Radiol Clin North Am. 2005;43(1):189–204.PubMedCrossRef

Doi H, Kitajima K, Fukushima K, Kawanaka Y, Mouri M, Yamamoto S, et al. SUV_max on FDG-PET is a predictor of prognosis in patients with maxillary sinus cancer. Jpn J Radiol 2016;34(5):349–55.

Oyama T, Hosokawa Y, Abe K, Hasegawa K, Fukui R, Aoki M, et al. Prognostic value of quantitative FDG-PET in the prediction of survival and local recurrence for patients with advanced oral cancer treated with superselective intra-arterial chemoradiotherapy. Oncol Lett. 2020;19(6):3775–800.PubMedPubMedCentral

Shimizu M, Mitsudo K, Koike I, Taguri M, Iwai T, Koizumi T, et al. Prognostic value of 2-[(18) F]fluoro-2-deoxy-d-glucose positron emission tomography for patients with oral squamous cell carcinoma treated with retrograde superselective intra-arterial chemotherapy and daily concurrent radiotherapy. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016;121(3):239–47.PubMedCrossRef

Leung TW, Wong VY, Kwan KH, Ng TY, Wong CM, Tung SY, et al. High dose rate brachytherapy for early stage oral tongue cancer. Head Neck. 2002;24(3):274–81.PubMedCrossRef

Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med. 2007;48(6):932–45.PubMedCrossRef

10.

Teo BK, Seo Y, Bacharach SL, Carrasquillo JA, Libutti SK, Shukla H, et al. Partial-volume correction in PET: validation of an iterative postreconstruction method with phantom and patient data. J Nucl Med. 2007;48(5):802–10.PubMed

11.

Roncali E, Cherry SR. Application of silicon photomultipliers to positron emission tomography. Ann Biomed Eng. 2011;39(4):1358–77.PubMedPubMedCentralCrossRef

12.

Teoh EJ, McGowan DR, Macpherson RE, Bradley KM, Gleeson FV. Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System. J Nucl Med 2015;56(9):1447–52.

13.

Baratto L, Park SY, Hatami N, Davidzon G, Srinivas S, Gambhir SS, et al. 18F-FDG silicon photomultiplier PET/CT: a pilot study comparing semi-quantitative measurements with standard PET/CT. PLoS ONE. 2017;12(6):e0178936.PubMedPubMedCentralCrossRef

14.

Brierley J, Gospodarowicz MK, Wittekind C. TNM classification of malignant tumours, 8th edn. Chichester: Wiley; 2017, pp. 17–21.

15.

Jakobsson PA, Eneroth CM, Killander D, Moberger G, Martensson B. Histologic classification and grading of malignancy in carcinoma of the larynx. Acta Radiol Ther Phys Biol. 1973;12(1):1–8.PubMedCrossRef

16.

Yamamoto E, Kohama G, Sunakawa H, Iwai M, Hiratsuka H. Mode of invasion, bleomycin sensitivity, and clinical course in squamous cell carcinoma of the oral cavity. Cancer. 1983;51(12):2175–80.PubMedCrossRef

17.

Pindborg JJ. Reichart PA, Smith CJ, van der Waal I. Histological typing of cancer and precancer of the oral mucosa. WHO; 1997.

18.

Kojima I, Sakamoto M, Iikubo M, Kumamoto H, Muroi A, Sugawara Y, et al. Diagnostic performance of MR imaging of three major salivary glands for Sjogren's syndrome. Oral Dis. 2017;23(1):84–90.PubMedCrossRef

19.

Yamazaki Y, Saitoh M, Notani K, Tei K, Totsuka Y, Takinami S, et al. Assessment of cervical lymph node metastases using FDG-PET in patients with head and neck cancer. Ann Nucl Med. 2008;22(3):177–84.PubMedCrossRef

20.

Yu HM, Liu YF, Hou M, Liu J, Li XN, Yu JM. Evaluation of gross tumor size using CT, 18F-FDG PET, integrated 18F-FDG PET/CT and pathological analysis in non-small cell lung cancer. Eur J Radiol. 2009;72(1):104–13.PubMedCrossRef

21.

Koopman D, van Dalen JA, Stevens H, Slump CH, Knollema S, Jager PL. Performance of digital PET compared to high-resolution conventional PET in patients with cancer. J Nucl Med 2020.

22.

Nguyen NC, Vercher-Conejero JL, Sattar A, Miller MA, Maniawski PJ, Jordan DW, et al. Image quality and diagnostic performance of a digital PET prototype in patients with oncologic diseases: initial experience and comparison with analog PET. J Nucl Med. 2015;56(9):1378–85.PubMedCrossRef

23.

Goerres GW, Hany TF, Kamel E, von Schulthess GK, Buck A. Head and neck imaging with PET and PET/CT: artefacts from dental metallic implants. Eur J Nucl Med Mol Imaging. 2002;29(3):367–70.PubMedCrossRef

24.

Kinahan PE, Hasegawa BH, Beyer T. X-ray-based attenuation correction for positron emission tomography/computed tomography scanners. Semin Nucl Med. 2003;33(3):166–79.PubMedCrossRef

25.

Shimamoto H, Kakimoto N, Fujino K, Hamada S, Shimosegawa E, Murakami S, et al. Metallic artifacts caused by dental metal prostheses on PET images: a PET/CT phantom study using different PET/CT scanners. Ann Nucl Med. 2009;23(5):443–9.PubMedCrossRef

26.

Suzuki A, Ito M, Kawai Y. Dentures wearing reduce motion artifacts related to tongue movement in magnetic resonance imaging. J Prosthodont Res. 2018;62(3):303–8.PubMedCrossRef

27.

Lwin CT, Hanlon R, Lowe D, Brown JS, Woolgar JA, Triantafyllou A, et al. Accuracy of MRI in prediction of tumour thickness and nodal stage in oral squamous cell carcinoma. Oral Oncol. 2012;48(2):149–54.PubMedCrossRef

28.

Goel V, Parihar PS, Parihar A, Goel AK, Waghwani K, Gupta R, et al. Accuracy of MRI in prediction of tumour thickness and nodal stage in oral tongue and gingivobuccal cancer with clinical correlation and staging. J Clin Diagn Res 2016;10(6):TC01–5.

29.

Iwai H, Kyomoto R, Ha-Kawa SK, Lee S, Yamashita T. Magnetic resonance determination of tumor thickness as predictive factor of cervical metastasis in oral tongue carcinoma. Laryngoscope. 2002;112(3):457–61.PubMedCrossRef

30.

Preda L, Chiesa F, Calabrese L, Latronico A, Bruschini R, Leon ME, et al. Relationship between histologic thickness of tongue carcinoma and thickness estimated from preoperative MRI. Eur Radiol. 2006;16(10):2242–8.PubMedCrossRef

31.

Jung J, Cho NH, Kim J, Choi EC, Lee SY, Byeon HK, et al. Significant invasion depth of early oral tongue cancer originated from the lateral border to predict regional metastases and prognosis. Int J Oral Maxillofac Surg. 2009;38(6):653–60.PubMedCrossRef

Titel: High detection sensitivity and reliable morphological correlation of PET with a silicon photomultiplier for primary tongue squamous cell carcinoma
verfasst von: Ikuho Kojima
Kentaro Takanami
Takenori Ogawa
Maya Sakamoto
Hirokazu Nagai
Hitoshi Miyashita
Masahiro Iikubo
Publikationsdatum: 20.06.2020
Verlag: Springer Singapore
Erschienen in: Annals of Nuclear Medicine / Ausgabe 9/2020
Print ISSN: 0914-7187
Elektronische ISSN: 1864-6433
DOI: https://doi.org/10.1007/s12149-020-01489-0

Springer Medizin

Abstract

Objective

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 9/2020

The relationship between cholecystokinin secretion and pancreatic [11C]methionine uptake in patients after partial pancreaticoduodenectomy

A method to measure the extent of myocardial ischemia and steal with SPECT myocardial blood flow quantitation

Feasibility study of a PET-only amyloid quantification method: a comparison with visual interpretation

Visualization of translocator protein (18 kDa) (TSPO) in the retina of diabetic retinopathy rats using fluorine-18-DPA-714

18F-choline PET/CT and PET/MRI in primary and recurrent hyperparathyroidism: a systematic review of the literature

Preclinical PET imaging study of lung cancer with 64CuCl2