FDG-PET scanning after radiation can predict tumor regrowth three months later

Koike, Izumi; Ohmura, Masako; Hata, Masaharu; Takahashi, Nobukazu; Oka, Takashi; Ogino, Ichiro; Liu, Jin; Umezawa, Tomoko; Kinbara, Kazuhiro; Watai, Kiichi; Ozawa, Yukihiko; Inoue, Tomio

doi:10.1016/s0360-3016(03)00757-0

Cited by 35 publications

(19 citation statements)

References 23 publications

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“…A suitable objective function (OF) for the optimization process would then be given by: (6) where the sum is taken over all tumor voxels. Minimizing the value of this function should give the best estimate of α, β and γ.…”

Section: Iic1 Methods I: Numerical Optimizationmentioning

confidence: 99%

“…However, emerging medical imaging techniques are giving us more information than ever before on structural, biological and chemical variations within tumors. [4][5][6][7][8] At the same time, intensity-modulated radiotherapy (IMRT) techniques give us unprecedented control over the spatial deposition of dose within a patient. 9,10 There has therefore been much recent discussion regarding how best to incorporate information on tumor inhomogeneities into the treatment planning process in order to produce a genuinely optimal non-uniform dose distribution.…”

Section: Introductionmentioning

confidence: 99%

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A theoretical framework for prescribing radiotherapy dose distributions using patient‐specific biological information

2008

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We present a formalism for using functional imaging both to derive patient-specific radiobiological properties and consequently to prescribe optimal non-uniform radiotherapy dose distributions. The ability to quantitatively assess the response to an initial course of radiotherapy would allow the derivation of radiobiological parameters for individual patients.Both an iterative optimization and an analytical approach to this problem were investigated and illustrated by application to the linear-quadratic model of cell killing using simulated parametric data for a modelled tumor. Potential gains in local control were assessed by comparing uniform dose distributions with optimized dose distributions of equal integral dose. The effect on local prescribed dose of variations in effective radiosensitivity, tumor burden and proliferation rate was investigated, with results suggesting that dose variations would be significant but clinically achievable. The sensitivity of derived parameters to image noise and the effect of varying the initial fractionation and imaging schedule were assessed.The analytical approach proved remarkably robust, with 10% image noise resulting in dose errors of approximately 1% for a clinically relevant set of parameters. Potential benefits were demonstrated by using this formalism to prescribe non-uniform dose distributions for model tumors using a range of literature-derived parameters. The redistribution of dose improved tumor control probability by factors between 1.03 and 4.27 for a range of model tumors.Prescribing radiotherapy dose distributions using patient-specific information 2

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Section: Iic1 Methods I: Numerical Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A theoretical framework for prescribing radiotherapy dose distributions using patient‐specific biological information

2008

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“…Despite advances in morphological imaging, the differentiation of recurrent lesions from these loco-regional compromised benign lesions is occasionally difficult [7][8][9]. To solve this problem, fluorine-18 fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) has been introduced [4,5,7,8,[10][11][12][13]. However, this approach has a limitation due to positive FDG uptake in various benign lesions causing false positives in the detection of recurrent lesions [5, 7-9, 13, 14].…”

Section: Introductionmentioning

confidence: 99%

Differentiation of FDG-avid loco-regional recurrent and compromised benign lesions after surgery for breast cancer with dual-time point F-18-fluorodeoxy-glucose PET/CT scan

Suga¹,

Kawakami²,

Hiyama³

et al. 2009

Ann Nucl Med

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“…There are cases in which FDG accumulates in benign tumors such as granulomas [9]. This method is useful for effective distinction, during radiotherapy or chemoradiotherapy, of tumors such as lung cancer [22,23]. Our device is used only for PET imaging without a CT scanner.…”

Section: Discussionmentioning

confidence: 99%

A statistical clustering approach to visualizing the relationship between early and delayed images in whole-body FDG-PET

Oda

Toyama

Mashima

et al. 2009

Radiol Phys Technol

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We propose a new method for diagnostic assistance in oncology, [fluorine-18]-2-fluoro-2-deoxy-D: -glucose (FDG)-positron emission tomography (PET). Early and delayed scans were performed on 10 patients with lung cancer by use of an ECAT EXACT 47 PET scanner, and standardized-uptake-value (SUV) images were created. Three segmentation (S1, S2, and S3) maps were created from the early and delayed SUV images according to various thresholds (SUV(threshold) = 2.0, 2.5, and 3.0) based on the early image and the percentage change defined as (SUV(delayed) - SUV(early)) x 100/SUV(early). Voxels that had larger voxel values in their early images than the SUV(threshold) were clustered into three classes: S1 if the percentage change was larger than 10, S2 if the percentage change was between 0 and 10, and S3 if the percentage change was negative. The S1 segments showed malignant lesions clearly; however, the S2 segments showed an SUV that had decreased from the S1 areas due to the partial volume effect or misalignment between the early and delayed scans. The S3 areas showed benignity or physiologic accumulation. The segmented images, S1, S2, and S3, were useful for clinical diagnosis with dual-phase FDG-PET scans and offer an easy way of exploring the longitudinal alteration in the SUV.

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FDG-PET scanning after radiation can predict tumor regrowth three months later

Cited by 35 publications

References 23 publications

A theoretical framework for prescribing radiotherapy dose distributions using patient‐specific biological information

A theoretical framework for prescribing radiotherapy dose distributions using patient‐specific biological information

Differentiation of FDG-avid loco-regional recurrent and compromised benign lesions after surgery for breast cancer with dual-time point F-18-fluorodeoxy-glucose PET/CT scan

A statistical clustering approach to visualizing the relationship between early and delayed images in whole-body FDG-PET

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