Skip to main content

Reduction of the fluorine-18-labeled fluorodeoxyglucose dose for clinically dedicated breast positron emission tomography



To determine the clinically acceptable level of reduction in the injected fluorine-18 (18F)-labeled fluorodeoxyglucose (18F-FDG) dose in dedicated breast positron emission tomography (dbPET).


A breast phantom with four spheres exhibiting various diameters (5, 7.5, 10, and 16 mm), a background 18F-FDG radioactivity of 2.28 kBq/mL, and a sphere-to-background radioactivity ratio of 8:1 was used. True dose-reduced dbPET images were obtained by data acquisition for 20 min in list mode at multiple time points over 7 h of radioactive decay. Simulated dose-reduced images were generated by reconstruction with a portion of the list mode acquisition data. True and simulated dose-reduced images were visually and quantitatively compared. On the basis of the phantom study, dbPET images for 32 breasts of 28 women with abnormal uptake were generated after simulated reduction of the injected 18F-FDG doses; these images were compared with those acquired using current clinical doses.


There were no qualitative differences between true and simulated dose-reduced phantom images. The phantom study revealed that the minimal required dose was 12.5% for the detection of 5-mm spheres and 25% for precise semi-quantification of FDG in the spheres. The 7-min reconstruction with a 100% dose was defined as the reference for the clinical study. The image quality and lesion conspicuity were clinically acceptable for the 25% dose images. Lesion detectability on the 12.5% dose images was maintained despite image quality degradation.


In summary, 25% of the standard 18F-FDG dose for dbPET can provide a clinically acceptable image quality, while 12.5% of the standard dose results in acceptable quality in terms of lesion detection when lesions are located at a sufficient distance from the edge of the dbPET detector.


Fluorine-18 (18F)-labeled fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) has become one of the most useful tools for the diagnostic imaging of malignancies, including breast cancer. It is also used for staging or re-staging, monitoring of treatment responses, and prognostic predictions [1,2,3]. However, with regard to breast cancer, FDG PET is mainly used for the detection of metastasis or recurrence because of its limited spatial resolution. Therefore, it has been challenging to detect small breast cancers using whole-body PET/CT [4].

High-resolution dedicated breast PET (dbPET) scanners have been developed to detect small breast lesions. High-resolution dbPET involves either positron emission mammography (PEM) or a tomographic technique using a ring-shaped scanner [5]. These dbPET systems have greater spatial resolution and sensitivity than does whole-body PET/CT [6]. Combining dbPET and PET/CT enables local and systemic assessment of breast cancer in a single examination session without additional exposure to PET/CT, because dbPET does not use additional X-rays for attenuation correction, which is performed via extraction of a breast contour from acquisition data as internal homogenous fat.

PET/CT results in considerable radiation exposure (approximately 7–10 mSv in recent studies, derived from the injected dose of radiotracer and X-ray CT used for attenuation correction and anatomic co-registration) [7, 8]. Exposure reduction is a major concern in PET, and several studies have reported on dose reduction of 18F-FDG in PET/CT [9, 10] or PET/magnetic resonance (PET/MR) [11,12,13]. By combining long acquisition (20 min) of breast regions on PET/MR system with high sensitivity detector consisting of silicon photomultiplier, the radiation exposure was successfully reduced comparable to the effective dose of a single digital mammogram [13]. It is expected that a similar dose reduction would be achieved by dbPET which system can omit radiation exposure for attenuation correction and consists of a high sensitivity detector. When dbPET is used alone, the exposure dose is half that of PET/CT because it does not use X-ray CT for attenuation correction. In addition, because dbPET can achieve high resolution and sensitivity by its four-layer depth-of-interaction detector [14], it may allow comparable or further reduction of the injection dose relative to that used in PET/MRI. However, reports on dose reduction in dbPET are lacking. The purpose of the present study was to determine the clinically acceptable level of reduction in the injected 18F-FDG dose for dbPET.


Ring-shaped dbPET scanner

The ring-shaped dbPET scanner (Elmammo, Shimadzu Corp., Kyoto, Japan) consisted of 36 detector modules arranged in three contiguous rings, with a diameter of 195 mm, axial length of 156.5 mm, and depth-of-interaction measurement capability [15]. The transaxial effective field-of-view (FOV) was 185 × 156.5 mm2. Each detector block consisted of a four-layered 32 × 32 array of lutetium oxyorthosilicate crystals coupled to a 64-channel positron-sensitive photomultiplier tube via a light guide. Performance metrics included 1.5-mm FWHM resolution in standard mode in the axial, sagittal, and coronal views; detector sensitivity of 0.09–0.13 cps/Bq at the center of the detector; and detector sensitivity of 0.05–0.08 cps/Bq at a quarter depth of the detector. The peak noise equivalent count was 600–800 kcps.

Development and preparation of the breast phantom

We acquired dbPET images using a cylindrical breast phantom with four spheres of various diameters (5, 7.5, 10, and 16 mm [Fig. 1]). The spheres and background were filled with 18F-FDG solution. The background radioactivity was 2.28 kBq/mL, and the sphere-to-background radioactivity ratios (SBRs) were 8:1.

Fig. 1

A cylindrical breast phantom with four spheres of various diameters (5, 7.5, 10, and 16 mm)

Phantom data acquisition and image reconstruction

The phantom was placed at the center of the column in the dbPET such that the four spheres were aligned horizontally and then scanned for 20 min in list mode under the following various conditions.

The dbPET images were reconstructed using a three-dimensional list mode dynamic row-action maximum-likelihood algorithm with one iteration and 128 subsets, a relaxation control parameter of β = 20, a matrix size in the axial view of 236 × 200 × 236 with a post-reconstruction smoothing Gaussian filter (1.17 mm FWHM), and scatter correction. Attenuation correction was calculated using a uniform attenuation map with object boundaries obtained from emission data [16], and scatter corrections were applied for all images. Scatter correction was performed using was the convolution-subtraction method [17] with kernels obtained by background tail fitting.

True and simulated 18F-FDG dose reduction of dbPET images

First, for the true dose reduction, dbPET images were acquired at a fixed position for 20 min in list mode every 55 min (a half of 18F) until 440 min later. Due to the steady decay of the phantom activity, these measurements were equivalent to reduced doses (tracer dose reduction of 50% after each half-time).

Second, the simulated dose-reduced images were obtained using dbPET data of various acquisition times (1050, 840, 240, 315, 210, 105, 52, and 26 s) at the beginning of the list mode data of each dose acquisition (Fig. 2a).

Fig. 2

Phantom images with different acquisition times created to determine the optimal acquisition time as a reference: a 840 s (200% dose), b 630 s (150% dose), c 420 s (100% dose), d 315 s (75% dose), e 210 s (50% dose), f 105 s (25% dose), g 52 s (12.5%), and h 26 s (6.25% dose). The numbers represent the acquisition time. Percentages in parentheses indicate the percentage of a 420-s acquisition (surrounded by a rectangle) as 100%

Phantom image analysis

The maximum standardized uptake value (SUVmax) and the mean standardized uptake value (SUVmean) of each sphere and the background were measured on all phantom images using Pmod software (Ver. 4.0, PMOD Technologies LLC, Zurich, Switzerland). The volume-of-interest (VOI) for each sphere was the sum of the volumes of the voxels with SUVs that were greater than or equal to 40% of their SUVmax. The 20 VOIs of 5 mm in diameter for the background were placed on the same axial plane with hot spheres and ± 20 mm slices. The SUVmax and SUVmean were the average values using a total of 100 VOIs.

Patient data acquisition and image reconstruction

After fasting for at least 6 h, patients received 18F-FDG (3 MBq/kg), and dbPET scanning was performed for 7 min for each breast 90 min after injection of 18F-FDG. The dbPET image reconstructed with 7 min acquisition data was defined as the standard (100% of injected 18F-FDG dose). The simulated dose-reduced images were obtained using the dbPET data of various acquisition times (from 420 to 26 s) at the beginning of the list mode data. Reduction of injected 18F-FDG was simulated by five other different time sets: a reconstruction followed by reconstructions simulating 50% (210 s), 25% (105 s), 12.5% (57 s), and 6.25% (26 s) of the original dose.

Evaluation of clinical images and statistical analysis

A total 165 reconstructed dbPET data sets (33 breasts of 29 women with five different reconstructions) were evaluated separately by two experienced nuclear medicine physicians (with 14 and 7 years of experience interpreting PET, respectively). These readers were blinded to the clinical background, reconstructed set, and simulated injected 18F-FDG dose. PET-data sets were viewed in transaxial and sagittal planes, and medio-lateral maximum intensity projection (ML-MIP) images. The two readers assessed the image quality and conspicuity of the abnormal uptake which was indicated on the reference image (100% dose) as a reference to the standard images in random order using a four-point scale as follows: (0) poor image quality, not diagnostic; (1) decrease in image quality, loss of diagnostic ability concerned; (2) slight decrease in image quality, no clinical problem; and (3) equivalent to reference. A score of 2 or higher was defined as clinically acceptable, and a score of 1 or higher was also considered acceptable to detect the target lesions. Inter-observer reproducibility was evaluated by kappa-statistics. Regarding visual assessment of clinical dbPET images, comparison of different reconstruction settings was performed using the Mann-Whitney U test.

The SUVmax of mass-like uptakes were also evaluated. The VOI was defined as a volume with 40% or more SUVmax of that VOI on the dbPET image at 100% 18F-FDG dose. The VOI was copied and pasted onto the other dose-reduced images. Except for mass-like uptake, focus and non-mass uptake were excluded because their quantitative reliability could not be established.

This single-institution retrospective study was approved by our institutional review board. The board waived the requirement for written informed consent from the patients.


dbPET phantom studies

Using the 20-min list mode acquisition data from the first scan, which was the full injection dose, the phantom images with different acquisition times were first created to determine the optimal acquisition time as a reference. Based on these dose reduction images, 7 min (420 s) acquisition was defined as the standard acquisition time in this study (Fig. 2).

The quality of simulated dose reduction phantom images was the same as that of true dose reduction images. Focusing on the smallest 5 mm sphere, it was visible down to a dose of 25%. At lower doses, it was difficult to distinguish hot spheres from the background at SBR of 8:1 (Fig. 3).

Fig. 3

a dbPET phantom images acquired with true dose reduction, with 75%, 50%, 25%, 12.5%, and 6.25% of the 18F-FDG radioactivity relative to that in the first scan. b Images acquired with simulated dose reduction. The numbers in the frame attached to each image show the rate of 18F-FDG radioactivity (left in the frame) and acquisition time (right in the frame) relative to that in the first scan. On the basis of these dose reduction images, 7 min (420 s) was defined as the standard acquisition time

Additional file 1: Figure S1 shows the SUVmax (A) and SUVmean (B) of four spheres, and the background could be evaluated equally down to the 25% dose. The average and variability of SUVmax, SUVmean of each hot sphere, and the background at true and simulated 25% injection doses were as follows. SUVmax: 16 mm, 10.5 ± 2.6%; 10 mm, 11.3 ± 7.2%; 7.5 mm, − 5.7 ± 5.5%, 5 mm, − 14.4 ± 7.6%; background 23.0 ± 0.4%; SUVmean: 16 mm, − 3.1 ± 0.7%; 10 mm, − 6.4 ± 1.2%; 7.5 mm, − 11.6 ± 2.6%; 5 mm, − 11.9 ± 3.7%; background − 0.9 ± 1.2%, respectively. SUVmax was overestimated at less than the 25% dose.

Patient studies

A total of 32 breasts with one or more abnormal FDG uptakes on dbPET of 28 women were evaluated. Of these 32 breasts, 20 (62.5%) were diagnosed as “cancer,” five (15.6%) were “non-malignant,” and seven (21.9%) were “unknown.” These were diagnosed based on histopathological findings and clinical follow-up.

Inter-observer reproducibility was good (kappa-value = 0.69). The scores evaluated by one reader with longer experience were analyzed. For clinical imaging, 75% and 50% dose reduction imaging seemed adequate. In the 25% dose images, the image quality and conspicuity of the lesion scores were 2 or higher in 75% of the breasts. In the 12.5% dose images, the score was ≥ 1 for 68.8% breasts (Table 1, Fig. 4). A representative case is shown in Fig. 5.

Table 1 Image quality score for dose-reduced dbPET images of 32 breasts
Fig. 4

Bar chart showing the percentage distribution of the image quality for dbPET images acquired at five reduced doses. Abbreviation: dbPET, dedicated breast positron emission tomography

Fig. 5

A representative case involving a 44-year-old patient with bilateral breast cancers: a 100% (acquisition time was 420 s), b 75% dose (acquisition time was 315 s), c 50% dose (acquisition time was 210 s), d 25% dose (acquisition time was 105 s), e 12.5% dose (acquisition time was 52 s), and f 6.25% dose (acquisition time was 26 s) of the simulated 18F-FDG dose. The left-sided breast cancer of 13 mm in diameter (white arrow) was confirmed with 6.25% dose as well as that for 100% dose (upper row). The right-sided breast cancer of 6 mm in diameter (black arrow) was unclear and difficult to distinguish from noise at the 12.5% dose or lower. Abbreviation: 18F-FDG, fluorine-18-labeled fluorodeoxyglucose

SUVmax and its percentage difference for the 20 lesions with mass-like uptake were also compared among the reconstructed images (Additional file 2: Figure S2). SUVmax was maintained or increased for most lesions. In addition, three of the 20 lesions exhibited a significant decrease in SUVmax at lower doses. These were small in size and located near the chest wall.


In the current study, reconstructed phantom images with different acquisition times were assessed for the determination of clinically optimal dbPET parameters. The spheres were visualized equally when they were acquired over ≥ 5 min; however, the background was smoother when it was acquired over 7 min than when it was acquired over 5 min. Since the scan time of 7 min on one side and 14 min on bilateral breasts was also considered to be clinically tolerable, the standard acquisition time was determined as 7 min in this study. In previous clinical studies using dbPET, 5-min acquisition for a breast is common [18]. Based on our current phantom and clinical study, there was no difference between the 5- and 7-min acquisition times in the ability to visualize lesions, but the background was smoother on images with 7-min acquisition than on those with 5-min acquisition. Image quality improves with longer acquisition times if the conditions of the facilities allow. The simulated dose reduction images were then reconstructed from the list mode data obtained with several 18F-FDG doses and compared to true dose-reduced images regarding 18F-FDG radioactivity concentration-acquisition time. As shown in the results, there was no visual difference between the true and simulated dose-reduced images. This indicates that the simulated dose-reduced clinical images reconstructed with the same method as that in this phantom study could be considered visually equivalent to true dose-reduced images. In the quantitative evaluation of the phantom study, the variations in SUVmax and SUVmean of the hot spheres and background were acceptably small at 25% or higher dose. This suggests that even when the dose is reduced to 25%, a quantitatively comparable image can be obtained. However, SUVmax was overestimated with larger spheres at lower doses than 25%. This is considered to be a severe partial-volume effect in small spheres. These results were consistent with the previous phantom study of PET/CT on 18F-FDG dose reduction [10]. Furthermore, the SUVmax and SUVmean were underestimated at very low dose of about 5% or less, possibly due to excessive scatter correction.

Our clinical study using simulated dose-reduced images of dbPET showed that the image quality was clinically acceptable with 25% of the standard injected 18F-FDG dose (reduction of up to 75%). Furthermore, the overall image quality with 12.5% of the standard injected 18F-FDG (reduction of up to 87.5%) dose decreased considerably; however, it was acceptable for simple lesion visualization. In the quantitative assessment of mass-like uptakes, SUVmax of most lesions were either overestimated or not changed with low dose, whereas SUVmax of the three small lesions close to the chest wall were significantly decreased at lower doses. This was considered to be due to the deterioration of image quality close to the detector’s edge and excessive scatter correction at the very low injected dose.

When using dbPET repeatedly, such as in screening of a high-risk group for breast cancer or re-imaging of abnormal uptake that can be confirmed only by dbPET and is not detected by other modalities, it is not always necessary to employ concurrent whole-body PET/CT. Recently, the American College of Radiology and Japan Association of Breast Cancer Screening recommended breast cancer screening using a contrast-enhanced MRI for high risk groups [19, 20]. It has been reported that PEM has equal diagnostic ability as that of contrast-enhanced MRI [21]. and is useful for breast cancer screening [22,23,24]. Therefore, dbPET is considered useful to screen high-risk groups. A reduction of 75% injected 18F-FDG dose would result in an estimated effective dose of approximately 0.9 mSv for a patient weighting 60 kg (3 MBq/kg × 25/100 × 60 kg × 0.0199 mSv/MBq) [25]. The exposure of PET/CT is about 20 times that of mammography which is used for breast cancer screening, while the exposure of dbPET with dose reduction can be reduced to about twice. Furthermore, radiation burden in dbPET accounts for the whole body but is focused on a breast in mammography, and the radiation burden to other organs is less than 1% of the focused breast [26]. Despite these differences, low-dose dbPET will be a powerful tool that can routinely be used in breast cancer care.

We demonstrated that the simulated dose-reduced images derived from the clinical PET data were reliable by comparing them with true dose-reduced phantom images. In recent years, referred as ultra-low-dose PET, machine learning approaches have been applied to reduce the radiotracer dose in the PET imaging [27]. Chen et al. has been reported that PET/MR combined with deep learning enabled it [28]. Especially recently, the U.S. Food and Drug Administration has approved to apply innovative deep learning imaging technologies to improve image quality of low-dose PET data (SubtlePET The machine learning approach is expected to be able to achieve further dose-reduction in dbPET imaging.

There were several limitations in our current study. First, a true dose-reduced study could not be performed on clinical images from an ethical point of view. Although supported by the phantom study, there may be various differences between the phantom and humans. Second, the simulated dose-reduced images were obtained using PET data with various acquisition times of the first frame after segmentation due to the limitation of the software attached to the device. In clinical imaging, it is preferable to collect data randomly from the whole data for the reconstruction of simulated dose-reduced images to avoid the effects of body movement during acquisition. Third, although there was a difference in quantitative evaluation depending on the location of the lesions in the clinical study, the sample size was small.

In conclusion, 25% of the standard dose of 18F-FDG (reduction of up to 75%) for dbPET can result in clinically acceptable image quality. Moreover, 12.5% of the standard dose of 18F-FDG (reduction of up to 87.5%) can result in acceptable image quality for lesion detection, with the exception of small lesions located close to the edges of the dbPET detector.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Fluorine-18-labeled fluorodeoxyglucose


Dedicated breast positron emission tomography


  1. 1.

    Groheux D, Espie M, Giacchetti S, Hindie E. Performance of FDG PET/CT in the clinical management of breast cancer. Radiology. 2013;266:388–405.

    Article  Google Scholar 

  2. 2.

    Lee SM, Bae SK, Kim TH, Yoon HK, Jung SJ, Park JS, Kim CK. Value of 18F-FDG PET/CT for early prediction of pathologic response (by residual cancer burden criteria) of locally advanced breast cancer to neoadjuvant chemotherapy. Clin Nucl Med. 2014;39:882–6.

    Article  Google Scholar 

  3. 3.

    Satoh Y, Nambu A, Ichikawa T, Onishi H. Whole-body total lesion glycolysis measured on fluorodeoxyglucose positron emission tomography/computed tomography as a prognostic variable in metastatic breast cancer. BMC Cancer. 2014;14:525.

    Article  Google Scholar 

  4. 4.

    Kumar R, Chauhan A, Zhuang H, Chandra P, Achnall M, Alvavi A. Clinicopathologic factors associated with false negative FDG-PET in primary breast cancer. Breast Cancer Res Treat. 2006;98:267–74.

    Article  Google Scholar 

  5. 5.

    Bowen SL, Wu Y, Chaudhari AJ, Fu L, Packard NJ, Burkett GW, Yang K, Lindfors KK, Shelton DK, Hagge R, Borowsky AD, Martinez SR, Qi J, Boone JM, Cherry SR, Badawi RD. Initial characterization of a dedicated breast PET/CT scanner during human imaging. J Nucl Med. 2009;50:1401–8.

    Article  Google Scholar 

  6. 6.

    Fowler AM. A molecular approach to breast imaging. I Nucl Med. 2014;55:177–80.

    Article  Google Scholar 

  7. 7.

    Boellaad R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, Verzijlbergen FJ, Barrington SF, Pike LC, Weber WA, Stroobants S, Delbeke D, Donohoe KJ, Holbrook S, Graham MM, Testanera G, Hoekstra OS, Zijlstra J, Visser E, Hoekstra CJ, Pruim J, Willemsen A, Arends B, Kotzerke J, Bockisch A, Beyer T, Chiti A, Krauseet BJ. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–54.

    Article  Google Scholar 

  8. 8.

    Karakatsanis NA, Fokou E, Tsoumpas C. Dosage optimization in positron emission tomography: state-of-the-art methods and future prospects. Am J Nucl Med Mol Imaging. 2015;5:527–47.

    CAS  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Saade C, Ammous A, Abi-Ghanem AS, Giesel F, Asmar K. Body weight-based protocols during whole body FDG PET/CT significantly reduces radiation dose without compromising image quality: findings in a large cohort study. Acad Radiol. 2019;26:658–63.

    Article  Google Scholar 

  10. 10.

    Chen MK, Menard DH 3rd, Cheng DW. Determining the minimal required radioactivity of 18F-FDG for reliable semiquantification in PET/CT imaging: a phantom study. J Nucl Med Technol. 2016;44:26–30.

    CAS  Article  Google Scholar 

  11. 11.

    Melsaether AN, Raad RA, Pujara AC, Ponzo FD, Pysarenko KM, Jhaveri K, Babb JS, Sigmund EE, Kim SG, Moy LA. Comparison of whole-body 18F-FDG PET/MR imaging and whole-body 18F FDG PET/CT in terms of lesion detection and radiation dose in patients with breast cancer. Radiology. 2016;281:193–202.

    Article  Google Scholar 

  12. 12.

    Sekine T, Delso G, Zeimpekis KG, de Galiza BF, Ter Voert EEGW, Huellner M, Veit-Haibach P. Reduction of 18F-FDG dose in clinical PET/MRI imaging by using silicon photomultiplier detectors. Radiology. 2018;286:249–59.

    Article  Google Scholar 

  13. 13.

    Sah BR, Ghafoor S, Burger IA, Ter Voert EEGW, Sekine T, Delso G, Huellner M, Dedes KJ, Boss A, Veit-Haibach P. Feasibility of 18F-FDG dose reduction in breast cancer PET/MRI. J Nucl Med. 2018;59:1817–22.

    CAS  Article  Google Scholar 

  14. 14.

    National Electrical Manufactures Association (NEMA). Performance measurements for small animal positron emission tomographs. Rosslyn: MEMA; 2008. NEMA standards publication NU4-2008

    Google Scholar 

  15. 15.

    Qi J, Kuo C, Huesman RH, Klein GJ, Moses WW, Reutter BW. Comparison of rectangular and dual-planar positron emission mammography scanners. IEEE Trans Nucl Sci. 2002;49:2089–96.

    Article  Google Scholar 

  16. 16.

    Yamakawa Y, Kitamura K. Attenuation correction using level set method for application specific PET scanners: Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) IEE; 2011. p. 3130–2.

  17. 17.

    Bailey DL, Meikle SR. A convolution-subtraction scatter correction method for 3D PET. Phys Med Biol. 1994;39:411–24.

    CAS  Article  Google Scholar 

  18. 18.

    Nishimatsu K, Nakamoto Y, Miyake KK, Ishimori T, Kanao S, Toi M, Togashi K. Higher breast cancer conspicuity on dbPET compared to WB-PET/CT. Eur J Radiol. 2017;90:138–45.

    Article  Google Scholar 

  19. 19.

    Monticciolo DL, Newell MS, Moy L, Niell B, Monsees B, Sickles EA. Breast cancer screening in women at higher-than-average risk: recommendations from the ACR. J Am Coll Radiol. 2018;15:408–14.

    Article  Google Scholar 

  20. 20.

    Nakajima Y, Okuda I, Tozaki M, Isomoto I, Monzawa S, Tabuchi T, Kanemaki Y, Maruyama K, Nakamura S. Guidelines for the optimal use of breast magnetic resonance imaging (MRI) for screening of breast cancer in high risk women, Version 1. 2. Nihon Nyugan Kenshin Gakkaishi. 2013;22:155–76.

    Google Scholar 

  21. 21.

    Berg WA, Madsen KS, Schilling K, Tartar M, Pisano ED, Larsen LH, Narayanan D, Ozonoff A, Miller JP, Kalinyak JE. Breast cancer: comparative effectiveness of positron emission mammography and MR imaging in presurgical planning for the ipsilateral breast. Radiology. 2011;258:59–72.

    Article  Google Scholar 

  22. 22.

    Satoh Y, Motosugi U, Omiya Y, Onishi H. Unexpected abnormal uptake in the breasts at dedicated breast pet: incidentally detected small cancers or nonmalignant features? AJR Am J Roentgenol. 2019;212:443–9.

    Article  Google Scholar 

  23. 23.

    Berg WA, Madsen KS, Schilling K, Tartar M, Pisano ED, Larsen LH, Narayanan D, Kalinyak JE. Comparative effectiveness of positron emission mammography and MRI in the contralateral breast of women with newly diagnosed breast cancer. AJR Am J Roentgenol. 2012;198:219–32.

    Article  Google Scholar 

  24. 24.

    Yamamoto Y, Tasaki Y, Kuwada Y, Ozawa Y, Inoue T. A preliminary report of breast cancer screening by positron emission mammography. Ann Nucl Med. 2016;30:130–7.

    Article  Google Scholar 

  25. 25.

    Sechopoulos I, Suryanarayanan S, Vedantham S, D'Orsi CJ, Karellas A. Radiation dose to organs and tissues from mammography: Monte Carlo and phantom study. Radiology. 2008;246:434–43.

    Article  Google Scholar 

  26. 26.

    Hendrick RE. Radiation doses and cancer risks from breast imaging studies. Radiology. 2010;257:246–53.

    Article  Google Scholar 

  27. 27.

    Catana C. The dawn of a neu era in low-dose PET imaging. Radiology. 2019;290:657–8.

    Article  Google Scholar 

  28. 28.

    Chen KT, Gong E, de Carvalho Macruz FB, Xu J, Boumis A, Khalighi M, Poston KL, Sha SJ, Greicius MD, Mormino E, Pauly JM, Srinivas S. Ultra-low-dose 18F-Florbetaben amyloid PET imaging using deep learning with multi-contrast MRI inputs. Radiology. 2019;290:649–56.

    Article  Google Scholar 

Download references


The authors gratefully acknowledge the assistance of Masamichi Imai and Takao Arai from Yamanashi PET Imaging Clinic in the acquisition of the images, as well as the help of Yuichi Inaoka from Shimadzu Corp. in reconstructing the images.


This research did not receive any specific grant from funding agencies in the public or not-for-profit sectors.

Author information




All authors contributed to the study design. YS and TS contributed to the data collection and analysis. YS wrote the manuscript, and the other authors revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yoko Satoh.

Ethics declarations

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (include name of committee + reference number) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.This study was approved by the Ethics Committee of Kofu Neurosurgical Hospital and Yamanashi PET Imaging Clinic (approved on December 22, 2018). We have obtained informed consent from all the patients included in the study.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Figure S1. The SUVmax (A) and SUVmean (B) of four spheres and the background. Impact of 18F-FDG dose on SUVmax (A) and SUVmean (B) in four spheres of different diameter. Abbreviations: 18F-FDG, fluorine-18-labelled fluorodeoxyglucose; SUVmax, maximum standardized uptake value; SUVmean, mean standardized uptake value.

Additional file 2: Figure S2. Impact of simulated reduced injected dose of 18F-FDG on SUVmax of all lesions with mass-like uptake on clinical images. Simulated injection dose on x-axis correspond to 100, 75, 50, 25, 12.5, and 6.5% dose from the left. The percentage of SUVmax based on that of full dose on y-axis (A). The volume (cm3) of each mass-like uptake on x-axis was the sum of voxels with 40% SUVs that were greater than or equal 40% of its SUVmax. The percentage of SUVmax based on that of full dose on y-axis (B).

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Satoh, Y., Sekine, T., Omiya, Y. et al. Reduction of the fluorine-18-labeled fluorodeoxyglucose dose for clinically dedicated breast positron emission tomography. EJNMMI Phys 6, 21 (2019).

Download citation


  • Breast cancer
  • Dedicated breast positron emission tomography
  • Fluorodeoxyglucose
  • Dose reduction