Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 1/2014

01.01.2014 | Original Article

Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study

verfasst von: Atsushi Teramoto, Hiroshi Fujita, Katsuaki Takahashi, Osamu Yamamuro, Tsuneo Tamaki, Masami Nishio, Toshiki Kobayashi

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 1/2014

Einloggen, um Zugang zu erhalten

Abstract

Purpose

In this study, an automated scheme for detecting pulmonary nodules using a novel hybrid PET/CT approach is proposed, which is designed to detect pulmonary nodules by combining data from both sets of images.

Methods

Solitary nodules were detected on CT by a cylindrical filter that we developed previously, and in the PET imaging, high-uptake regions were detected automatically using thresholding based on standardized uptake values along with false-positive reduction by means of the anatomical information obtained from the CT images. Initial candidate nodules were identified by combining the results. False positives among the initial candidates were eliminated by a rule-based classifier and three support vector machines on the basis of the characteristic features obtained from CT and PET images.

Results

We validated the proposed method using 100 cases of PET/CT images that were obtained during a cancer-screening program. The detection performance was assessed by free-response receiver operating characteristic (FROC) analysis. The sensitivity was 83.0 % with the number of false positives/case at 5.0, and it was 8 % higher than the sensitivity of independent detection systems using CT or PET images alone.

Conclusion

   Detection performance indicates that our method may be of practical use for the identification of pulmonary nodules in PET/CT images.
Literatur
1.
Zurück zum Zitat Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM (2008) GLOBOCAN 2008 v2.0, cancer incidence and mortality worldwide: IARC cancerBase no 10. http://globocan.iarc.fr Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM (2008) GLOBOCAN 2008 v2.0, cancer incidence and mortality worldwide: IARC cancerBase no 10. http://​globocan.​iarc.​fr
2.
Zurück zum Zitat Bartjan H, Cornelia S, Hester AG, Pim AJ, Bram G et al (2010) Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinations. Radiology 255(2):629–637CrossRef Bartjan H, Cornelia S, Hester AG, Pim AJ, Bram G et al (2010) Screening for lung cancer with digital chest radiography: sensitivity and number of secondary work-up CT examinations. Radiology 255(2):629–637CrossRef
3.
Zurück zum Zitat Sone S, Takashima S, Li F, Yang Z, Honda T et al (1998) Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet 351:1242–1245PubMedCrossRef Sone S, Takashima S, Li F, Yang Z, Honda T et al (1998) Mass screening for lung cancer with mobile spiral computed tomography scanner. Lancet 351:1242–1245PubMedCrossRef
4.
Zurück zum Zitat National lung screening trial research team (2011) The national lung screening trial: overview and study design. Radiology 258(1):243–253 National lung screening trial research team (2011) The national lung screening trial: overview and study design. Radiology 258(1):243–253
5.
Zurück zum Zitat Ide M, Suzuki Y (2005) Is whole-body FDG-PET valuable for health screening? Eur J Nucl Med Mol Imaging 32(3):339–341PubMedCrossRef Ide M, Suzuki Y (2005) Is whole-body FDG-PET valuable for health screening? Eur J Nucl Med Mol Imaging 32(3):339–341PubMedCrossRef
6.
Zurück zum Zitat Lee JW, Kang KW, Paeng JC, Lee SM, Jang SJ et al (2009) Cancer screening using 18F-FDG PET/CT in Korean asymptomatic volunteers: a preliminary report. Ann Nucl Med 23(7):685–691PubMedCrossRef Lee JW, Kang KW, Paeng JC, Lee SM, Jang SJ et al (2009) Cancer screening using 18F-FDG PET/CT in Korean asymptomatic volunteers: a preliminary report. Ann Nucl Med 23(7):685–691PubMedCrossRef
7.
Zurück zum Zitat Wever W, Meylaerts L, Ceuninck L, Stroobants S, Verschakelen JA (2007) Additional value of integrated PET-CT in the detection and characterization of lung metastases: correlation with CT alone and PET alone. Eur Radiol 17:467–473PubMedCrossRef Wever W, Meylaerts L, Ceuninck L, Stroobants S, Verschakelen JA (2007) Additional value of integrated PET-CT in the detection and characterization of lung metastases: correlation with CT alone and PET alone. Eur Radiol 17:467–473PubMedCrossRef
8.
Zurück zum Zitat Niki N, Kawata Y, Kubo M (2001) A CAD system for lung cancer based on CT image. Int Congr Ser 1230:631–638CrossRef Niki N, Kawata Y, Kubo M (2001) A CAD system for lung cancer based on CT image. Int Congr Ser 1230:631–638CrossRef
9.
Zurück zum Zitat Con Lee Y, Hara T, Fujita H, Itoh S, Ishigaki T (2001) Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique. IEEE Trans Med Imaging 20(7):595–604CrossRef Con Lee Y, Hara T, Fujita H, Itoh S, Ishigaki T (2001) Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique. IEEE Trans Med Imaging 20(7):595–604CrossRef
10.
Zurück zum Zitat Suzuki K, Armato SG III, Li F, Sone S, Doi K (2003) Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT. Med Phys 30(7):1602–1617 Suzuki K, Armato SG III, Li F, Sone S, Doi K (2003) Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT. Med Phys 30(7):1602–1617
11.
Zurück zum Zitat Paik DS, Beaulieu CF, Rubin GD, Acar B, Jeffrey RB et al (2004) Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE Trans Med Imaging 23(6):661–675PubMedCrossRef Paik DS, Beaulieu CF, Rubin GD, Acar B, Jeffrey RB et al (2004) Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE Trans Med Imaging 23(6):661–675PubMedCrossRef
12.
Zurück zum Zitat McNitt-Gray MF (2004) Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. Int Congr Ser 1268:896–901CrossRef McNitt-Gray MF (2004) Lung nodules and beyond: approaches, challenges and opportunities in thoracic CAD. Int Congr Ser 1268:896–901CrossRef
13.
Zurück zum Zitat Con Way TW, Hadjiiski LM, Sahiner B, Chan HP, Cascade PN et al (2006) Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. Med Phys 33(7):2323–2337 Con Way TW, Hadjiiski LM, Sahiner B, Chan HP, Cascade PN et al (2006) Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. Med Phys 33(7):2323–2337
14.
15.
Zurück zum Zitat Li Q, Li F, Doi K (2008) Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol 15(2):165–175PubMedCentralPubMedCrossRef Li Q, Li F, Doi K (2008) Computerized detection of lung nodules in thin-section CT images by use of selective enhancement filters and an automated rule-based classifier. Acad Radiol 15(2):165–175PubMedCentralPubMedCrossRef
16.
Zurück zum Zitat Messay T, Hardie R, Rogers S (2010) A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Med Image Anal 14(3):390–406PubMedCrossRef Messay T, Hardie R, Rogers S (2010) A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Med Image Anal 14(3):390–406PubMedCrossRef
17.
Zurück zum Zitat Teramoto A, Fujita H (2013) Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter. Int J CARS 8(2):182–205CrossRef Teramoto A, Fujita H (2013) Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter. Int J CARS 8(2):182–205CrossRef
18.
Zurück zum Zitat Guan H, Kubota T, Huang X, Zhou XS, Turk M (2006) Automatic hot spot detection and segmentation in whole body FDG-PET images. In: Proceedings of IEEE international conference on, image processing, pp 85–88 Guan H, Kubota T, Huang X, Zhou XS, Turk M (2006) Automatic hot spot detection and segmentation in whole body FDG-PET images. In: Proceedings of IEEE international conference on, image processing, pp 85–88
19.
Zurück zum Zitat Montgomery DW, Amira A, Zaidi H (2007) Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model. Med Phys 34(2):722–736PubMedCrossRef Montgomery DW, Amira A, Zaidi H (2007) Fully automated segmentation of oncological PET volumes using a combined multiscale and statistical model. Med Phys 34(2):722–736PubMedCrossRef
20.
Zurück zum Zitat Hara T, Kobayashi T, Kawai K, Zhou X, Ito S et al (2008) Automated scoring system of standard uptake value for torso FDG-PET. In: Proceedings of SPIE medical imaging 2008: computer-aided diagnosis, vol 6915, pp 691534-1–691534-4 Hara T, Kobayashi T, Kawai K, Zhou X, Ito S et al (2008) Automated scoring system of standard uptake value for torso FDG-PET. In: Proceedings of SPIE medical imaging 2008: computer-aided diagnosis, vol 6915, pp 691534-1–691534-4
21.
Zurück zum Zitat Cui Y, Zhao B, Akhurst TJ, Yan J, Schwartz LH et al (2008) CT-guided, automated detection of lung tumors on PET images. In: Proceedings of SPIE medical imaging 2008: computer-aided diagnosis, vol 6915, pp 69152N-1–69152N-6 Cui Y, Zhao B, Akhurst TJ, Yan J, Schwartz LH et al (2008) CT-guided, automated detection of lung tumors on PET images. In: Proceedings of SPIE medical imaging 2008: computer-aided diagnosis, vol 6915, pp 69152N-1–69152N-6
22.
Zurück zum Zitat Ballangan C, Wang X, Eberl S, Fulham M, Feng D (2009) Automated detection and delineation of lung tumors in PET-CT volumes using a lung atlas and iterative mean-SUV threshold. In: Proceedings of SPIE medical imaging 2009: computer-aided diagnosis, vol 7259, pp 72593F-1–72593F-8 Ballangan C, Wang X, Eberl S, Fulham M, Feng D (2009) Automated detection and delineation of lung tumors in PET-CT volumes using a lung atlas and iterative mean-SUV threshold. In: Proceedings of SPIE medical imaging 2009: computer-aided diagnosis, vol 7259, pp 72593F-1–72593F-8
23.
Zurück zum Zitat Teramoto A, Fujita H, Tomita Y, Takahashi K, Yamamuro O et al (2011) Hybrid CAD scheme for lung nodule detection in PET/CT images. In: Proceedings of SPIE medical imaging 2011: computer-aided diagnosis, vol 7963, pp 796335-1–796335-6 Teramoto A, Fujita H, Tomita Y, Takahashi K, Yamamuro O et al (2011) Hybrid CAD scheme for lung nodule detection in PET/CT images. In: Proceedings of SPIE medical imaging 2011: computer-aided diagnosis, vol 7963, pp 796335-1–796335-6
24.
Zurück zum Zitat Teramoto A, Fujita H, Tomita Y, Takahashi K, Yamamuro O et al (2012) Pulmonary nodule detection in PET/CT images: improved approach using combined nodule detection and hybrid FP reduction. In: Proceedings of SPIE medical imaging 2012: computer-aided diagnosis, vol 8315, pp 83152V-1–83152V-6 Teramoto A, Fujita H, Tomita Y, Takahashi K, Yamamuro O et al (2012) Pulmonary nodule detection in PET/CT images: improved approach using combined nodule detection and hybrid FP reduction. In: Proceedings of SPIE medical imaging 2012: computer-aided diagnosis, vol 8315, pp 83152V-1–83152V-6
25.
Zurück zum Zitat Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR et al (2011) The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys 38(2):915–931 Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR et al (2011) The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys 38(2):915–931
26.
Zurück zum Zitat Kubota K, Matsuzawa T, Fujiwara T, Ito M, Hatazawa J et al (1990) Differential diagnosis of lung tumor with positron emission tomography: a prospective study. J Nucl Med 31(12):1927–1933PubMed Kubota K, Matsuzawa T, Fujiwara T, Ito M, Hatazawa J et al (1990) Differential diagnosis of lung tumor with positron emission tomography: a prospective study. J Nucl Med 31(12):1927–1933PubMed
27.
Zurück zum Zitat Duhaylongsod FG, Lowe VJ, Patz EF, Vaughn AL, Coleman RE et al (1995) Detection of primary and recurrent lung cancer by means of F-18 fluorodeoxyglucose positron emission tomography. J Thorac Cardiovasc Surg 110(1):130–139PubMedCrossRef Duhaylongsod FG, Lowe VJ, Patz EF, Vaughn AL, Coleman RE et al (1995) Detection of primary and recurrent lung cancer by means of F-18 fluorodeoxyglucose positron emission tomography. J Thorac Cardiovasc Surg 110(1):130–139PubMedCrossRef
28.
Zurück zum Zitat Pauwels EK, Ribeiro MJ, Stoot JH, McCready VR, Bourguignon M et al (1998) FDG accumulation and tumor biology. Nucl Med Biol 25(4):317–322PubMedCrossRef Pauwels EK, Ribeiro MJ, Stoot JH, McCready VR, Bourguignon M et al (1998) FDG accumulation and tumor biology. Nucl Med Biol 25(4):317–322PubMedCrossRef
29.
Zurück zum Zitat Keyes JW (1995) SUV: standard uptake or silly useless value? J Nucl Med 36(10):1836–1839 Keyes JW (1995) SUV: standard uptake or silly useless value? J Nucl Med 36(10):1836–1839
30.
Zurück zum Zitat Lowe VJ, Hoffman JM, DeLong DM, Patz EF, Coleman RE (1994) Semiquantitative and visual analysis of FDG-PET images in pulmonary abnormalities. J Nucl Med 35(11):1771–1776PubMed Lowe VJ, Hoffman JM, DeLong DM, Patz EF, Coleman RE (1994) Semiquantitative and visual analysis of FDG-PET images in pulmonary abnormalities. J Nucl Med 35(11):1771–1776PubMed
31.
Zurück zum Zitat Cohade C, Osman M, Marshall LN, Wahl RN (2003) PET-CT: accuracy of PET and CT spatial registration of lung lesions. Eur J Nucl Med Mol Imaging 30(5):721–726PubMedCrossRef Cohade C, Osman M, Marshall LN, Wahl RN (2003) PET-CT: accuracy of PET and CT spatial registration of lung lesions. Eur J Nucl Med Mol Imaging 30(5):721–726PubMedCrossRef
32.
Zurück zum Zitat Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, CambridgeCrossRef Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Press, CambridgeCrossRef
34.
Zurück zum Zitat Yamada N, Kusumoto M, Maeshima A, Suzuki K, Matsuno Y (2007) Correlation of the solid part on high-resolution computed tomography with pathological scar in small lung adenocarcinomas. Jpn J Clin Oncol 37(12):913–917PubMedCrossRef Yamada N, Kusumoto M, Maeshima A, Suzuki K, Matsuno Y (2007) Correlation of the solid part on high-resolution computed tomography with pathological scar in small lung adenocarcinomas. Jpn J Clin Oncol 37(12):913–917PubMedCrossRef
35.
Zurück zum Zitat Nie Y, Li Q, Li F, Pu Y, Appelbaum D et al (2006) Integrating PET and CT information to improve diagnostic accuracy for lung nodules: a semiautomatic computer-aided method. J Nucl Med 47(7):1075–1080PubMed Nie Y, Li Q, Li F, Pu Y, Appelbaum D et al (2006) Integrating PET and CT information to improve diagnostic accuracy for lung nodules: a semiautomatic computer-aided method. J Nucl Med 47(7):1075–1080PubMed
Metadaten
Titel
Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study
verfasst von
Atsushi Teramoto
Hiroshi Fujita
Katsuaki Takahashi
Osamu Yamamuro
Tsuneo Tamaki
Masami Nishio
Toshiki Kobayashi
Publikationsdatum
01.01.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 1/2014
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-013-0910-y

Weitere Artikel der Ausgabe 1/2014

International Journal of Computer Assisted Radiology and Surgery 1/2014 Zur Ausgabe

Screening-Mammografie offenbart erhöhtes Herz-Kreislauf-Risiko

26.04.2024 Mammografie Nachrichten

Routinemäßige Mammografien helfen, Brustkrebs frühzeitig zu erkennen. Anhand der Röntgenuntersuchung lassen sich aber auch kardiovaskuläre Risikopatientinnen identifizieren. Als zuverlässiger Anhaltspunkt gilt die Verkalkung der Brustarterien.

S3-Leitlinie zu Pankreaskrebs aktualisiert

23.04.2024 Pankreaskarzinom Nachrichten

Die Empfehlungen zur Therapie des Pankreaskarzinoms wurden um zwei Off-Label-Anwendungen erweitert. Und auch im Bereich der Früherkennung gibt es Aktualisierungen.

Fünf Dinge, die im Kindernotfall besser zu unterlassen sind

18.04.2024 Pädiatrische Notfallmedizin Nachrichten

Im Choosing-Wisely-Programm, das für die deutsche Initiative „Klug entscheiden“ Pate gestanden hat, sind erstmals Empfehlungen zum Umgang mit Notfällen von Kindern erschienen. Fünf Dinge gilt es demnach zu vermeiden.

„Nur wer sich gut aufgehoben fühlt, kann auch für Patientensicherheit sorgen“

13.04.2024 Klinik aktuell Kongressbericht

Die Teilnehmer eines Forums beim DGIM-Kongress waren sich einig: Fehler in der Medizin sind häufig in ungeeigneten Prozessen und mangelnder Kommunikation begründet. Gespräche mit Patienten und im Team können helfen.

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.