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Detection of Prostate Calcification with Megavoltage Helical CT

Rationale and Objectives

Prostate calcification is a noninvasive landmark for daily positioning of image-guided radiation therapy. However, detectability of prostate calcification with megavoltage helical computed tomography (MVCT) has not been evaluated. The purpose of this study was to evaluate the detectability of prostate calcification and to investigate how to predict detectability of calcification with MVCT.

Materials and Methods

Thirty patients with prostate cancer who were scheduled for helical tomotherapy were included in this study. The detectability of prostate calcification on MVCT was evaluated by comparing against kilovoltage multidetector-row CT (KVCT) as the standard of reference. Maximum signal intensity ( SImax ), area ( A ) of calcification, and the product of both ( SImax·A ) were compared between undetectable and detectable calcifications. Then, the threshold values of SImax , A , and SImax·A were decided to achieve 100% sensitivity on MVCT.

Results

KVCT identified 49 calcifications in 28 of 30 patients. MVCT detected 19 (39%) of 49 calcifications in 15 (50%) of 30 patients. The minimum threshold values of SImax , A , and SImax·A to detect prostate calcifications were 953 HU, 20.98 mm 2 , and 7784 HU mm 2 , respectively. Using the threshold values of SImax , A , and SImax·A , 20% (10/49), 18% (9/49), and 35% (17/49) of calcifications were in the detection range, respectively.

Conclusions

MVCT can depict about one-third of prostate calcifications detectable on KVCT. The product of maximum signal intensity and area of calcification is the most distinguishable index for predicting patients showing prostate calcifications on MVCT.

Dose escalation with three-dimensional conformal radiotherapy or intensity-modulated radiation therapy (IMRT) for prostate cancer improves long-term prostate-specific antigen (PSA) control . The tight margins will decrease the volume dose delivered to organs at risk, but accurate positioning of the prostate is required for the high precision of planned radiotherapy treatments. Recent advancements in image-guided radiotherapy (IGRT) technologies provide the opportunity to localize target volumes with the same x-ray beam used for radiotherapy . Helical tomotherapy (HT) is an innovative means of delivering IGRT and IMRT using a device that combines features of a linear accelerator and a helical computed tomography (CT) scanner. HT is one of the successful innovative intensity-modulated IGRT techniques that can perform megavoltage CT (MVCT) scan and can obtain highly tailored dose distributions. MVCT enables imaging of anatomic structures in the presence of metallic dental or orthopedic implants. This is advantageous in cases with metal implants but has a limitation of reduced contrast in soft tissues . During HT of prostate cancer, prostate glands cannot always be clearly distinguished on MVCT. Thus, soft tissue matching for the prostate will be challenging in such cases.

Prostate calcifications are a common finding and seem mostly to be associated with benign prostatic hyperplasia. However, calcifications can occur in direct association with prostatic adenocarcinoma, although the incidence of this association is reported to be as low as 1.3% (4/298) . Physiological calcification has been considered to be a reliable landmark of the prostate position and allows for precise image guidance with low observation variations . However, the detectability of prostate calcifications with helical MVCT and the clinical application to HT has not yet been investigated. The purpose of this study was to determine the detection limit of prostate calcifications and to investigate whether calcification might be a natural landmark to localize the prostate during HT treatment.

Materials and methods

Study Population

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Imaging Protocol

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Calcification Scoring Method

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Figure 1, Assessment of prostate calcification on KVCT. (a) A region of interest (ROI) was placed at the calcification and the maximum signal intensity was measured using ImageJ software. (b) To avoid bias in ROI estimates, a threshold was set in the HU value, and the total number of pixels within the threshold range was counted. Blue pixels represent pixels with value out of the threshold range. (c and d) Two comparative sets of images of the same patient. On KVCT (c) , both large ( large arrow ) and small ( small arrow ) calcifications are detectable. However, only large calcification ( large arrow ) is detectable on MVCT (d) . KVCT, kilovoltage computed tomography; MVCT, megavoltage computed tomography. (Color version of figure is available online.)

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Statistical Analysis

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Results

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Figure 2, The mean maximum signal intensity ( SImax ) values of undetected and detected calcifications were 270 HU and 915 HU, respectively. If SImax exceeds the threshold value of 953 HU, 20% of calcifications were detectable on MVCT. The mean and standard deviation ( error bars ) of each data set are also shown. MVCT, megavoltage computed tomography.

Figure 3, Mean area ( A ) values of undetected and detected calcifications were 5.57 mm 2 and 24.79 mm 2 , respectively. If the area of calcification exceeds the threshold value of 21 mm 2 , 18% of calcifications were detectable on MVCT. The mean and standard deviation ( error bars ) of each data set are also shown. MVCT, megavoltage computed tomography.

Figure 4, (a) Distribution map of detectable and undetectable calcifications. Larger calcifications with greater density are more likely to be detectable. (b) If the product of SImax and A ( SImax·A ) values exceeds 7784 HU·mm 2 , 35% of calcifications were detectable on MVCT. The mean and standard deviation ( error bars ) of each data set are also shown. MVCT, megavoltage computed tomography.

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Discussion

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Conclusions

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References

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