Literature DB >> 17942814

18F-FDG PET for mediastinal staging of lung cancer: which SUV threshold makes sense?

Dirk Hellwig1, Thomas P Graeter, Dieter Ukena, Andreas Groeschel, Gerhard W Sybrecht, Hans-Joachim Schaefers, Carl-Martin Kirsch.   

Abstract

UNLABELLED: (18)F-FDG PET is the most accurate noninvasive modality for staging mediastinal lymph nodes in lung cancer. Besides using visual image interpretation, some institutions use standardized uptake value (SUV) measurements in lymph nodes. Mostly, an SUV of 2.5 is used as the cutoff, but this choice was never deduced from respective studies. Receiver operating characteristic (ROC) analyses demonstrated that SUV thresholds of more than 4 resulted in the highest accuracy. But these high cutoffs imply high false-negative rates (FNRs). The aim of our evaluation was to determine an optimal SUV threshold and to compare its diagnostic performance with the results of visual interpretation.
METHODS: This retrospective study included 95 patients with suspected lung cancer who underwent mediastinoscopy/mediastinal lymphadenectomy after (18)F-FDG PET (90-150 min after 250 MBq of (18)F-FDG). Maximum SUV was measured in 371 lymph node regions biopsied afterward and visually interpreted using a 6-level score (- - - through + + +). Diagnostic performance was assessed by ROC analysis. FNR and false-positive rate (FPR), the sum of both error rates (FNR + FPR), and diagnostic accuracy were plotted against a hypothetical SUV threshold to determine the optimum SUV threshold.
RESULTS: SUVs in metastatic lymph nodes were higher (mean +/- SD, 7.1 +/- 4.5; range, 1.4-26.9; n = 70) than in tumor-free lymph node stations (2.4 +/- 1.7; range, 0.6-14.9; n = 301; P < 0.01). Inflammatory lymph nodes exhibited slightly increased SUVs (2.7 +/- 2.0; range, 0.8-14.9; n = 146). The plot of error rates featured a minimum of the sum FNR + FPR for an SUV of 2.5. With increasing SUV threshold, the FPR decreased most prominently up to that value whereas a continuous rise of FNR was noticed. Highest diagnostic accuracy was achieved with an SUV of 4.5. The areas under the ROC curves demonstrated that visual interpretation tends to be more accurate than SUV quantification (visual, 0.930 +/- 0.022; SUV, 0.899 +/- 0.025; P = 0.241). Using an SUV of 2.5 as the threshold, the resulting sensitivity, specificity, and negative predictive value were 89%, 84%, and 96%, respectively.
CONCLUSION: For mediastinal staging, the choice of an SUV of 2.5 as the threshold is justified because FNR + FPR is minimized. The resulting high negative predictive value of 96% allows the omission of mediastinoscopy in patients with negative mediastinal findings on (18)F-FDG PET images. For the experienced observer, visual analysis should be relied on primarily, with calculation of the SUV used, at most, as a secondary aid. For the less experienced observer, the SUV may be of greater value.

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Year:  2007        PMID: 17942814     DOI: 10.2967/jnumed.107.044362

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  51 in total

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Authors:  Tony Shepherd; Mika Teras; Reinhard R Beichel; Ronald Boellaard; Michel Bruynooghe; Volker Dicken; Mark J Gooding; Peter J Julyan; John A Lee; Sébastien Lefèvre; Michael Mix; Valery Naranjo; Xiaodong Wu; Habib Zaidi; Ziming Zeng; Heikki Minn
Journal:  IEEE Trans Med Imaging       Date:  2012-06-04       Impact factor: 10.048

2.  Overcoming the hurdles of using PET/CT for target volume delineation in curative intent radiotherapy of non-small cell lung cancer.

Authors:  Leila Tchelebi; Hani Ashamalla
Journal:  Ann Transl Med       Date:  2015-08

3.  Segmental acquisition method for stationary objects in (18)F-fluorodeoxyglucose positron emission tomography tests.

Authors:  Keisuke Tsuda; Naoyuki Aikawa; Takayuki Suzuki; Etsuo Moriya; Masayuki Yamaguchi; Hideaki Kitamura; Kouzou Hanai; Izumi O Umeda; Masahiro Fukushi; Noriyuki Moriyama; Hirofumi Fujii
Journal:  Jpn J Radiol       Date:  2010-10-24       Impact factor: 2.374

4.  Initial clinical results for breath-hold CT-based processing of respiratory-gated PET acquisitions.

Authors:  Loïc Fin; Joël Daouk; Julie Morvan; Pascal Bailly; Isabelle El Esper; Lazhar Saidi; Marc-Etienne Meyer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-06-26       Impact factor: 9.236

5.  A case of adult onset Still's disease showing marked accumulation in the liver and spleen, on positron emission tomography-CT images.

Authors:  Masanori Funauchi; Shinya Ikoma; Kazuya Kishimoto; Hideki Shimazu; Yuji Nozaki; Masafumi Sugiyama; Koji Kinoshita
Journal:  Rheumatol Int       Date:  2008-04-29       Impact factor: 2.631

Review 6.  A review on segmentation of positron emission tomography images.

Authors:  Brent Foster; Ulas Bagci; Awais Mansoor; Ziyue Xu; Daniel J Mollura
Journal:  Comput Biol Med       Date:  2014-04-28       Impact factor: 4.589

7.  Comparison of prognostic values of primary tumor and nodal 18F-fluorodeoxyglucose uptake in non-small cell lung cancer with N1 disease.

Authors:  Chae Hong Lim; Seung Hyup Hyun; Seung Hwan Moon; Young Seok Cho; Joon Young Choi; Kyung-Han Lee
Journal:  Eur Radiol       Date:  2019-03-21       Impact factor: 5.315

8.  Dual-time-point [18F]-FDG PET/CT in the diagnostic evaluation of suspicious breast lesions.

Authors:  M G Caprio; A Cangiano; M Imbriaco; F Soscia; G Di Martino; A Farina; G Avitabile; L Pace; P Forestieri; M Salvatore
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

9.  A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data.

Authors:  Andrea Schaefer; Stephanie Kremp; Dirk Hellwig; Christian Rübe; Carl-Martin Kirsch; Ursula Nestle
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-07-26       Impact factor: 9.236

10.  Diagnostic performance of (18)F-FDG PET/CT for lymph node staging in patients with operable non-small-cell lung cancer and inflammatory lung disease.

Authors:  Young-Sil An; Joo Sung Sun; Kyung Joo Park; Sung Chul Hwang; Kwang Joo Park; Seung Soo Sheen; Sungsoo Lee; Kyi Beom Lee; Joon-Kee Yoon
Journal:  Lung       Date:  2008-08-01       Impact factor: 2.584

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