Skip to main content
Hauptrubriken
CME Facharzt-Training Webinare Zeitschriften Bücher e.Medpedia Podcast
Service
Jobbörse Info & Hilfe
Fachgebiete
Anästhesiologie Allgemeinmedizin Arbeitsmedizin Augenheilkunde Chirurgie Dermatologie Gynäkologie und Geburtshilfe HNO Innere Medizin Kardiologie Neurologie Onkologie und Hämatologie Orthopädie und Unfallchirurgie Pädiatrie Pathologie Psychiatrie Radiologie Rechtsmedizin Urologie Zahnmedizin
Themen
Klimawandel und Gesundheit Neues aus dem Markt COVID-19 Praxis und Beruf Seltene Erkrankungen GOÄ & EBM Panorama
Sammlungen
Kasuistiken Algorithmen & Infografiken Blickdiagnosen Arthropedia FlapFinder (für Dermatochirurgen) Videos Kongressberichterstattung Medizin für Apothekerinnen und Apotheker Für Ärztinnen und Ärzte in Weiterbildung Für Medizinstudierende

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Konkret geht es um den Diabetes-Patienten mit kardiovaskulären Erkrankungen oder Risiken, die Herzinsuffizienz sowie die kardiovaskuläre Primär- und Sekundärprävention. Sind Sie hier schon auf dem neuesten Stand? Unsere Experten beleuchten, wo und warum das bisherige Procedere geändert werden soll und was in der Praxis sinnvoll ist. Holen Sie sich Ihr Update und 2 CME-Punkte beim MMW-Webinar am 24. April von 17.30 bis 19 Uhr. 
Erweiterte Suche
Anmelden
nach oben
European Journal of Nuclear Medicine and Molecular Imaging
Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging 11/2017

14.06.2017 | Original Article

Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer

verfasst von: Yong-il Kim, Yong Joong Kim, Jin Chul Paeng, Gi Jeong Cheon, Dong Soo Lee, June-Key Chung, Keon Wook Kang

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 11/2017

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Triple-negative breast cancer has a poor prognosis. We evaluated several metabolic and volumetric parameters from preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in the prognosis of triple-negative breast cancer and compared them with current clinicopathologic parameters.

Methods

A total of 228 patients with triple-negative breast cancer (mean age 47.0 ± 10.8 years, all women) who had undergone preoperative PET/CT were included. The PET/CT metabolic parameters evaluated included maximum, peak, and mean standardized uptake values (SUVmax, SUVpeak, and SUVmean, respectively). The volumetric parameters evaluated included metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Metabolic and volumetric parameters were evaluated separately for tumor (T) and lymph nodes (N). The prognostic value of these parameters was compared with that of clinicopathologic parameters.

Results

All lymph node metabolic and volumetric parameters showed significant differences between patients with and without recurrence. However, tumor metabolic and volumetric parameters showed no significant differences. In a univariate survival analysis, all lymph node metabolic and volumetric parameters (SUVmax-N, SUVpeak-N, SUVmean-N, MTV-N, and TLG-N; all P < 0.001), T stage (P = 0.010), N stage (P < 0.001), and TNM stage (P < 0.001) were significant parameters. In a multivariate survival analysis, SUVmax-N (P = 0.005), MTV (P = 0.008), and TLG (P = 0.006) with TNM stage (all P < 0.001) were significant parameters.

Conclusions

Lymph node metabolic and volumetric parameters were significant predictors of recurrence in patients with triple-negative breast cancer after surgery. Lymph node metabolic and volumetric parameters were useful parameters for evaluating prognosis in patients with triple-negative breast cancer by 18F-FDG PET/CT, rather than tumor parameters.
Literatur
1.
2.
Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.CrossRefPubMed
3.
Prat A, Adamo B, Cheang MC, Anders CK, Carey LA, Perou CM. Molecular characterization of basal-like and non-basal-like triple-negative breast cancer. Oncologist. 2013;18:123–33.CrossRefPubMedPubMedCentral
4.
Lehmann BD, Bauer JA, Chen X, Sanders ME, Chakravarthy AB, Shyr Y, et al. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J Clin Invest. 2011;121:2750–67.CrossRefPubMedPubMedCentral
5.
Groheux D, Cochet A, Humbert O, Alberini J-L, Hindié E, Mankoff D. 18F-FDG PET/CT for staging and restaging of breast cancer. J Nucl Med. 2016;57:17S–26S.CrossRefPubMed
6.
Groheux D, Mankoff D, Espié M, Hindié E. 18F-FDG PET/CT in the early prediction of pathological response in aggressive subtypes of breast cancer: review of the literature and recommendations for use in clinical trials. Eur J Nucl Med Mol Imaging. 2016;43:983–93.CrossRefPubMed
7.
Jo I, Zeon SK, Kim SH, Kim HW, Kang SH, Kwon SY, et al. Correlation of primary tumor FDG uptake with clinicopathologic prognostic factors in invasive ductal carcinoma of the breast. Nucl Med Mol Imaging. 2015;49:19–25.CrossRefPubMed
8.
Groheux D, Hindié E, Delord M, Giacchetti S, Hamy A-S, de Bazelaire C, et al. Prognostic impact of 18FDG-PET-CT findings in clinical stage III and IIB breast cancer. J Natl Cancer Inst. 2012;19:1879–87.CrossRef
9.
Chang JS, Lee J, Kim HJ, Kim KH, Yun M, Kim SI, et al. 18F-FDG/PET may help to identify a subgroup of patients with T1-T2 breast cancer and 1–3 positive lymph nodes who are at a high risk of recurrence after mastectomy. Cancer Res Treat. 2016;48:508–17.CrossRefPubMed
10.
Basu S, Chen W, Tchou J, Mavi A, Cermik T, Czerniecki B, et al. Comparison of triple-negative and estrogen receptor-positive/progesterone receptor-positive/HER2-negative breast carcinoma using quantitative fluorine-18 fluorodeoxyglucose/positron emission tomography imaging parameters. Cancer. 2008;112:995–1000.CrossRefPubMed
11.
Groheux D, Giacchetti S, Moretti J-L, Porcher R, Espié M, Lehmann-Che J, et al. Correlation of high 18F-FDG uptake to clinical, pathological and biological prognostic factors in breast cancer. Eur J Nucl Med Mol Imaging. 2011;38:426–35.CrossRefPubMed
12.
Vicente AMG, Castrejón ÁS, Martín AL, López-Muñiz IC, Madero VM, Sánchez MMM, et al. Molecular subtypes of breast cancer: metabolic correlation with 18F-FDG PET/CT. Eur J Nucl Med Mol Imaging. 2013;40:1304–11.CrossRef
13.
Marinelli B, Espinet-Col C, Ulaner GA, McArthur HL, Gonen M, Jochelson M, et al. Prognostic value of FDG PET/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients. Am J Nucl Med Mol Imaging. 2016;6:120–7.PubMedPubMedCentral
14.
Hyun SH, Ahn HK, Park YH, Im Y-H, Kil WH, Lee JE, et al. Volume-based metabolic tumor response to neoadjuvant chemotherapy is associated with an increased risk of recurrence in breast cancer. Radiology. 2014;275:235–44.CrossRefPubMed
15.
Son SH, Lee S-W, Jeong SY, Song B-I, Chae YS, Ahn B-C, et al. Whole-body metabolic tumor volume, as determined by 18F-FDG PET/CT, as a prognostic factor of outcome for patients with breast cancer who have distant metastasis. AJR Am J Roentgenol. 2015;205:878–85.CrossRefPubMed
16.
Kim J, Yoo SW, Kang S-R, Cho S-G, Oh J-R, Chong A, et al. Prognostic significance of metabolic tumor volume measured by 18F-FDG PET/CT in operable primary breast cancer. Nucl Med Mol Imaging. 2012;46:278–85.CrossRefPubMedPubMedCentral
17.
Song B-I, Lee S-W, Jeong SY, Chae YS, Lee WK, Ahn B-C, et al. 18F-FDG uptake by metastatic axillary lymph nodes on pretreatment PET/CT as a prognostic factor for recurrence in patients with invasive ductal breast cancer. J Nucl Med. 2012;53:1337–44.CrossRefPubMed
18.
Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19:403–10.CrossRefPubMed
19.
Hammond MEH, Hayes DF, Dowsett M, Allred DC, Hagerty KL, Badve S, et al. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for immunohistochemical testing of estrogen and progesterone receptors in breast cancer (unabridged version). Arch Pathol Lab Med. 2010;134:e48–72.PubMed
20.
Wolff AC, Hammond MEH, Schwartz JN, Hagerty KL, Allred DC, Cote RJ, et al. American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. Arch Pathol Lab Med. 2007;131:18–43.PubMed
21.
Budczies J, Klauschen F, Sinn BV, Győrffy B, Schmitt WD, Darb-Esfahani S, et al. Cutoff finder: a comprehensive and straightforward web application enabling rapid biomarker cutoff optimization. PLoS One. 2012;7:e51862.CrossRefPubMedPubMedCentral
22.
Groheux D, Giacchetti S, Delord M, Hindié E, Vercellino L, Cuvier C, et al. 18F-FDG PET/CT in staging patients with locally advanced or inflammatory breast cancer: comparison to conventional staging. J Nucl Med. 2013;54:5–11.CrossRefPubMed
23.
Groheux D, Hindié E, Giacchetti S, Delord M, Hamy A-S, de Roquancourt A, et al. Triple-negative breast cancer: early assessment with 18F-FDG PET/CT during neoadjuvant chemotherapy identifies patients who are unlikely to achieve a pathologic complete response and are at a high risk of early relapse. J Nucl Med. 2012;53:249–54.CrossRefPubMed
24.
Groheux D, Giacchetti S, Delord M, de Roquancourt A, Merlet P, Hamy A, et al. Prognostic impact of 18F-FDG PET/CT staging and of pathological response to neoadjuvant chemotherapy in triple-negative breast cancer. Eur J Nucl Med Mol Imaging. 2015;42:377–85.CrossRefPubMed
25.
Humbert O, Riedinger J-M, Charon-Barra C, Berriolo-Riedinger A, Desmoulins I, Lorgis V, et al. Identification of biomarkers including 18FDG-PET/CT for early prediction of response to neoadjuvant chemotherapy in triple-negative breast cancer. Clin Cancer Res. 2015;21:5460–8.CrossRefPubMed
26.
Koo HR, Park JS, Kang KW, Han W, Park IA, Moon WK. Correlation between 18F-FDG uptake on PET/CT and prognostic factors in triple-negative breast cancer. Eur Radiol. 2015;25:3314–21.CrossRefPubMed
27.
Aogi K, Kadoya T, Sugawara Y, Kiyoto S, Shigematsu H, Masumoto N, et al. Utility of 18F FDG-PET/CT for predicting prognosis of luminal-type breast cancer. Breast Cancer Res Treat. 2015;150:209–17.CrossRefPubMedPubMedCentral
28.
Yue Y, Cui X, Bose S, Audeh W, Zhang X, Fraass B. Stratifying triple-negative breast cancer prognosis using 18F-FDG-PET/CT imaging. Breast Cancer Res Treat. 2015;153:607–16.CrossRefPubMedPubMedCentral
29.
Lucignani G. SUV and segmentation: pressing challenges in tumour assessment and treatment. Eur J Nucl Med Mol Imaging. 2009;36:715–20.CrossRefPubMed
30.
Thie JA. Understanding the standardized uptake value, its methods, and implications for usage. J Nucl Med. 2004;45:1431–4.PubMed
31.
Hyun SH, Choi JY, Shim YM, Kim K, Lee SJ, Cho YS, et al. Prognostic value of metabolic tumor volume measured by 18F-fluorodeoxyglucose positron emission tomography in patients with esophageal carcinoma. Ann Surg Oncol. 2010;17:115–22.CrossRefPubMed
32.
Chen HH, Chiu N-T, Su W-C, Guo H-R, Lee B-F. Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET/CT in non–small cell lung cancer. Radiology. 2012;264:559–66.CrossRefPubMed
33.
Pak K, Cheon GJ, Nam H-Y, Kim S-J, Kang KW, Chung J-K, et al. Prognostic value of metabolic tumor volume and total lesion glycolysis in head and neck cancer: a systematic review and meta-analysis. J Nucl Med. 2014;55:884–90.CrossRefPubMed
34.
Ferguson DJ, Meier P, Karrison T, Dawson PJ, Straus FH, Lowenstein FE. Staging of breast cancer and survival rates: an assessment based on 50 years of experience with radical mastectomy. JAMA. 1982;248:1337–41.CrossRefPubMed
35.
Foulkes WD, Smith IE, Reis-Filho JS. Triple-negative breast cancer. N Engl J Med. 2010;363:1938–48.CrossRefPubMed
36.
Liao C-T, Chang JT-C, Wang H-M, Ng S-H, Hsueh C, Lee L-Y, et al. Preoperative [18F]fluorodeoxyglucose positron emission tomography standardized uptake value of neck lymph nodes predicts neck cancer control and survival rates in patients with oral cavity squamous cell carcinoma and pathologically positive lymph nodes. Int J Radiat Oncol Biol Phys. 2009;74:1054–61.CrossRefPubMed
Metadaten
Titel
Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer
verfasst von
Yong-il Kim
Yong Joong Kim
Jin Chul Paeng
Gi Jeong Cheon
Dong Soo Lee
June-Key Chung
Keon Wook Kang
Publikationsdatum
14.06.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 11/2017
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-017-3748-7

Weitere Artikel der Ausgabe 11/2017

European Journal of Nuclear Medicine and Molecular Imaging 11/2017 Zur Ausgabe

Original Article

Integrated 18F–FDG PET/MRI compared to MRI alone for identification of local recurrences of soft tissue sarcomas: a comparison trial

Letter to the Editor

Axillary blue sentinel lymph node: an unusual tattoo?

Report

The ninth international congress of the Croatian Society of Nuclear Medicine – Rovinj, May 04–07, 2017

Original Article

Characterisation of malignant peripheral nerve sheath tumours in neurofibromatosis-1 using heterogeneity analysis of 18F-FDG PET

Original Article

Hybrid 18F–FDG PET/MRI might improve locoregional staging of breast cancer patients prior to neoadjuvant chemotherapy

Original Article

Prognostic importance of lymph node-to-primary tumor standardized uptake value ratio in invasive squamous cell carcinoma of uterine cervix