Literature DB >> 24900075

Prognostic Significance of Metabolic Tumor Volume Measured by (18)F-FDG PET/CT in Operable Primary Breast Cancer.

Jahae Kim1, Su Woong Yoo1, Sae-Ryung Kang1, Sang-Geon Cho1, Jong-Ryool Oh1, Ari Chong1, Jung-Joon Min1, Hee-Seung Bom1, Jung-Han Yoon2, Ho-Chun Song1.   

Abstract

PURPOSE: We investigated whether PET indices measured by (18) F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) can predict prognosis in patients with operable primary breast cancer.
METHODS: We reviewed 53 patients with operable primary breast cancer who underwent pretreatment FDG PET/CT. PET indices, maximum standardized uptake value (SUV) and metabolic tumor volume (MTV), were measured in the primary breast tumor (P), metastatic lymph nodes (N) and total tumor (T). The Cox proportional hazards model was used with age, tumor size, clinical lymph node status, method of surgery, presence or absence of neoadjuvant chemotherapy, histological type, histological grade, hormone receptors and HER2 status to predict disease-free survival (DFS) and overall survival (OS).
RESULTS: Median follow-up period was 50 months (range, 17-73 months), during which 17 patients had recurrent disease and nine of whom died. The univariate analysis showed that high SUV of N (NSUV, P = 0.011), MTV of N (NMTV, P = 0.011) and MTV of T (TMTV, P = 0.045) as well as high histological grade (P = 0.008), negative estrogen (P = 0.045) and negative progesterone (P = 0.029) receptor status were associated with shorter DFS. High NSUV (P = 0.035), NMTV (P = 0.035) and TMTV (P = 0.035) as well as high histological grade (P = 0.012) and negative estrogen receptor status (P = 0.009) were associated with shorter OS. NSUV, NMTV and TMTV were found to be significantly associated with high histological grade (P = 0.005). However, those failed to be statistically significant prognostic factors on multivariate analysis.
CONCLUSIONS: PET indices seem to be useful in the preoperative evaluation of prognosis in patients with operable primary breast cancer. NSUV, NMTV and TMTV might be considerable factors associated with patient outcome in operable breast cancer.

Entities:  

Keywords:  Breast cancer; FDG PET/CT; Maximum standardized uptake value; Metabolic tumor volume; Prognosis

Year:  2012        PMID: 24900075      PMCID: PMC4043062          DOI: 10.1007/s13139-012-0161-9

Source DB:  PubMed          Journal:  Nucl Med Mol Imaging        ISSN: 1869-3474


  23 in total

1.  Breast cancer survival in relation to the metastatic tumor burden in axillary lymph nodes.

Authors:  Yvette Andersson; Jan Frisell; Maria Sylvan; Jana de Boniface; Leif Bergkvist
Journal:  J Clin Oncol       Date:  2010-05-10       Impact factor: 44.544

2.  Whole-body metabolic tumour volume of 18F-FDG PET/CT improves the prediction of prognosis in small cell lung cancer.

Authors:  Jong-Ryool Oh; Ji-Hyoung Seo; Ari Chong; Jung-Joon Min; Ho-Chun Song; Young-Chul Kim; Hee-Seung Bom
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-01-21       Impact factor: 9.236

3.  Correlation of high 18F-FDG uptake to clinical, pathological and biological prognostic factors in breast cancer.

Authors:  David Groheux; Sylvie Giacchetti; Jean-Luc Moretti; Raphael Porcher; Marc Espié; Jacqueline Lehmann-Che; Anne de Roquancourt; Anne-Sophie Hamy; Caroline Cuvier; Laetitia Vercellino; Elif Hindié
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-11-06       Impact factor: 9.236

4.  18F-FDG PET of locally invasive breast cancer and association of estrogen receptor status with standardized uptake value: microarray and immunohistochemical analysis.

Authors:  Joseph R Osborne; Elisa Port; Mithat Gonen; Ashley Doane; Henry Yeung; William Gerald; Josh B Cook; Steven Larson
Journal:  J Nucl Med       Date:  2010-03-17       Impact factor: 10.057

5.  Significance of axillary lymph node metastasis in primary breast cancer.

Authors:  I Jatoi; S G Hilsenbeck; G M Clark; C K Osborne
Journal:  J Clin Oncol       Date:  1999-08       Impact factor: 44.544

6.  Value of PET-FDG in primary breast cancer based on histopathological and immunohistochemical prognostic factors.

Authors:  Pierre Heudel; Sebastien Cimarelli; Anthony Montella; Catherine Bouteille; Thomas Mognetti
Journal:  Int J Clin Oncol       Date:  2010-09-01       Impact factor: 3.402

7.  Increased FDG uptake in breast cancer is associated with prognostic factors.

Authors:  Yasemin Sanli; Serkan Kuyumcu; Zeynep Gozde Ozkan; Göknur Işik; Hasan Karanlik; Burcu Guzelbey; Cuneyt Turkmen; Sevda Ozel; Ekrem Yavuz; Ayse Mudun
Journal:  Ann Nucl Med       Date:  2012-02-24       Impact factor: 2.668

8.  Ratio between positive lymph nodes and total dissected axillaries lymph nodes as an independent prognostic factor for disease-free survival in patients with breast cancer.

Authors:  Luciano José Megale Costa; Heloisa Prado Soares; Heloisa Amaral Gaspar; Luciana Garcia Trujillo; Patrícia Xavier Santi; Rafaela Sarmento Pereira; Thaís Lins de Santana; Fernanda Nunes Pinto; Auro del Giglio
Journal:  Am J Clin Oncol       Date:  2004-06       Impact factor: 2.339

9.  Preoperative [18F] FDG-PET after chemotherapy in locally advanced breast cancer: prognostic value as compared with histopathology.

Authors:  J Emmering; N C Krak; J J M Van der Hoeven; M D Spreeuwenberg; J W R Twisk; S Meijer; H M Pinedo; O S Hoekstra
Journal:  Ann Oncol       Date:  2008-06-13       Impact factor: 32.976

10.  Preoperative evaluation of prognosis in breast cancer patients by [(18)F]2-Deoxy-2-fluoro-D-glucose-positron emission tomography.

Authors:  Tomoo Inoue; Kenji Yutani; Tetsuya Taguchi; Yasuhiro Tamaki; Eiichi Shiba; Shinzaburo Noguchi
Journal:  J Cancer Res Clin Oncol       Date:  2004-02-24       Impact factor: 4.553

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  18 in total

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

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-14       Impact factor: 9.236

Review 2.  Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology.

Authors:  Muhammad Kashif Rahim; Sung Eun Kim; Hyeongryul So; Hyung Jun Kim; Gi Jeong Cheon; Eun Seong Lee; Keon Wook Kang; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2014-01-22

3.  Pretreatment F-18 FDG PET/CT Parameters to Evaluate Progression-Free Survival in Gastric Cancer.

Authors:  Jeonghun Kim; Seok Tae Lim; Chang Ju Na; Yeon-Hee Han; Chan-Young Kim; Hwan-Jeong Jeong; Myung-Hee Sohn
Journal:  Nucl Med Mol Imaging       Date:  2013-11-28

4.  Could semiquantitative FDG analysis add information to the prognosis in patients with stage II/III breast cancer undergoing neoadjuvant treatment?

Authors:  Laura Evangelista; Anna Rita Cervino; Cristina Ghiotto; Tania Saibene; Silvia Michieletto; Bozza Fernando; Enrico Orvieto; Valentina Guarneri; Pierfranco Conte
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-05-31       Impact factor: 9.236

5.  Correlation of Primary Tumor FDG Uptake with Clinicopathologic Prognostic Factors in Invasive Ductal Carcinoma of the Breast.

Authors:  I Jo; Seok Kil Zeon; Sung Hoon Kim; Hae Won Kim; Sun Hee Kang; Sun Young Kwon; Su Jin Kim
Journal:  Nucl Med Mol Imaging       Date:  2014-10-02

6.  Prognostic Value of Volume-Based Metabolic Parameters Measured by (18)F-FDG PET/CT of Pancreatic Neuroendocrine Tumors.

Authors:  Ho Seong Kim; Joon Young Choi; Dong Wook Choi; Ho Yeong Lim; Joo Hee Lee; Sun Pyo Hong; Young Seok Cho; Kyung-Han Lee; Byung-Tae Kim
Journal:  Nucl Med Mol Imaging       Date:  2014-02-07

7.  Prognostic value of FDG PET/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients.

Authors:  Brett Marinelli; Carina Espinet-Col; Gary A Ulaner; Heather L McArthur; Mithat Gonen; Maxine Jochelson; Wolfgang A Weber
Journal:  Am J Nucl Med Mol Imaging       Date:  2016-04-24

8.  Volume-based assessment by (18)F-FDG PET/CT predicts survival in patients with stage III non-small-cell lung cancer.

Authors:  Seung Hyup Hyun; Hee Kyung Ahn; Hojoong Kim; Myung-Ju Ahn; Keunchil Park; Yong Chan Ahn; Jhingook Kim; Young Mog Shim; Joon Young Choi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-08-16       Impact factor: 9.236

9.  Prognostic Value of SUVmax Measured by Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography in Patients with Gallbladder Cancer.

Authors:  Jae Pil Hwang; Ilhan Lim; Im Ii Na; Eung Ho Cho; Byung Ii Kim; Chang Woon Choi; Sang Moo Lim
Journal:  Nucl Med Mol Imaging       Date:  2013-12-06

10.  Value of volume-based metabolic parameters for predicting survival in breast cancer patients treated with neoadjuvant chemotherapy.

Authors:  Tae Hee Kim; Joon-Kee Yoon; Doo Kyoung Kang; Seok Yun Kang; Yong Sik Jung; Sehwan Han; Ji Young Kim; Hyunee Yim; Young-Sil An
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

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