Literature DB >> 33484374

Performance of dedicated breast positron emission tomography in the detection of small and low-grade breast cancer.

Satoshi Sueoka1, Shinsuke Sasada2, Norio Masumoto2, Akiko Emi2, Takayuki Kadoya2, Morihito Okada2.   

Abstract

PURPOSE: This study compares the sensitivity of dedicated breast positron emission tomography (DbPET) and whole body positron emission tomography (WBPET) in detecting invasive breast cancer based on tumor size and biology. Further, we explored the relationship between maximum standardized uptake value (SUVmax) of DbPET and biological features of the tumor.
METHODS: A total of 639 invasive breast cancer lesions subjected to both DbPET and WBPET before surgery, between January 2016 and May 2019, were included in the study. The sensitivity of DbPET and WBPET in detection and the biology of the tumor according to the clinicopathological features were retrospectively evaluated.
RESULTS: The overall sensitivity of DbPET was higher than that of WBPET (91.4% vs. 80.3%, p < 0.001). Subcentimetric tumors were significant (80.9% vs. 54.3%, p < 0.001). Regardless of the nuclear grade, DbPET could detect more lesions than WBPET. The SUVmax was positively correlated with tumor size (R = 0.395, p < 0.001) and the nuclear grade (p < 0.001). Luminal A-like breast cancer had significantly lower SUVmax values than the other subtypes (p < 0.001).
CONCLUSIONS: DbPET is superior to WBPET in the detection of subcentimetric, low-grade breast cancers. Further, by using SUVmax, DbPET can distinguish luminal A-like breast cancer from the other subtypes.

Entities:  

Keywords:  Breast cancer; Dedicated breast PET; Positron emission tomography; Sensitivity; Whole body PET

Year:  2021        PMID: 33484374     DOI: 10.1007/s10549-020-06088-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  1 in total

1.  Bilateral breast cancer.

Authors:  J Gogas; C Markopoulos; P Skandalakis; H Gogas
Journal:  Am Surg       Date:  1993-11       Impact factor: 0.688

  1 in total
  3 in total

1.  Deep learning for image classification in dedicated breast positron emission tomography (dbPET).

Authors:  Yoko Satoh; Tomoki Imokawa; Tomoyuki Fujioka; Mio Mori; Emi Yamaga; Kanae Takahashi; Keiko Takahashi; Takahiro Kawase; Kazunori Kubota; Ukihide Tateishi; Hiroshi Onishi
Journal:  Ann Nucl Med       Date:  2022-01-27       Impact factor: 2.668

2.  Effect of radioactivity outside the field of view on image quality of dedicated breast positron emission tomography: preliminary phantom and clinical studies.

Authors:  Yoko Satoh; Masamichi Imai; Chihiro Ikegawa; Kenji Hirata; Norifumi Abo; Mao Kusuzaki; Noriko Oyama-Manabe; Hiroshi Onishi
Journal:  Ann Nucl Med       Date:  2022-10-08       Impact factor: 2.258

3.  Malignant prediction of incidental findings using ring-type dedicated breast positron emission tomography.

Authors:  Shinsuke Sasada; Norio Masumoto; Akiko Emi; Takayuki Kadoya; Morihito Okada
Journal:  Sci Rep       Date:  2022-01-21       Impact factor: 4.379

  3 in total

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