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The Utility of Diffusion Weighted Imaging (DWI) Using Apparent Diffusion Coefficient (ADC) Values in Discriminating Between Prostate Cancer and Normal Tissue.

Luczyńska E, Heinze-Paluchowska S, Domalik A, Cwierz A, Kasperkiewicz H, Blecharz P, Jereczek-Fossa B - Pol J Radiol (2014)

Bottom Line: Mean ADC values for patients with low, intermediate and high GS were 0.85±0.03, 0.72±0.03, and 0.61±0.04, respectively.DWI/ADC is useful in differentiating high-risk patients from those at low and intermediate risk, since there is a significant correlation between ADC values determined in patients included in three different groups according to their Gleason score.This information may be helpful in the assessment of prostate cancer aggressiveness.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland.

ABSTRACT

Background: The aim of this study was to investigate the utility of diffusion weighted imaging (DWI) using Apparent Diffusion Coefficient (ADC) values in discriminating between patients with tumors and normal prostate tissue before the initial systematic core biopsy. The relationship between histological grade of prostate cancer and ADC values in the peripheral zone was also investigated.

Material/methods: Our study included 62 patients who underwent magnetic resonance imaging (MRI) of the pelvis. The examinations were performed in T1-, T2-weighted, DWI and T1 after dynamic contrast administration sequences. In all patients there were abnormal foci within the peripheral zone determined in DWI/ADC. ADC values were compared with the Gleason score (GS) after core needle biopsy (CNB) in patients with low, medium and high stage tumors.

Results: Within the examined group of patients, ADC was statistically higher for normal tissue than for cancerous tissue (p=0.00). Mean ADC values for patients with low, intermediate and high GS were 0.85±0.03, 0.72±0.03, and 0.61±0.04, respectively.

Conclusions: DWI/ADC is useful in differentiating high-risk patients from those at low and intermediate risk, since there is a significant correlation between ADC values determined in patients included in three different groups according to their Gleason score. This information may be helpful in the assessment of prostate cancer aggressiveness.

No MeSH data available.


Related in: MedlinePlus

ROC curves of ADC value. The blue line shows the ROC curve calculated to differentiate low, intermediate, and high grade. The green line shows the ROC curve calculated to differentiate low, intermediate – and high grade. The dashed line shows the control line (A control line represents the ROC curve for random distribution of cases in more and less aggressive tumors).
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f6-poljradiol-79-450: ROC curves of ADC value. The blue line shows the ROC curve calculated to differentiate low, intermediate, and high grade. The green line shows the ROC curve calculated to differentiate low, intermediate – and high grade. The dashed line shows the control line (A control line represents the ROC curve for random distribution of cases in more and less aggressive tumors).

Mentions: We evaluated whether ADC results allow to determine cancer stage. The patients were divided into two groups using two different ways, depending on cancer stage in GS. The first way: patients with low Gleason score (Gleason, ≤6) were compared with patients with more advanced disease (GS=7 together with GS >7). The second way: patients with less advanced disease (a combined group of patients with low GS ≤6 and medium GS=7) were compared with patients with high GS >7. The ROC curve of the analysed parameter located closer to the left upper corner indicates higher precision of examination considering the parameter given (100% of specificity and sensitivity), which results in a bigger area under ROC curve (AUC – area under curve) (Figure 6).


The Utility of Diffusion Weighted Imaging (DWI) Using Apparent Diffusion Coefficient (ADC) Values in Discriminating Between Prostate Cancer and Normal Tissue.

Luczyńska E, Heinze-Paluchowska S, Domalik A, Cwierz A, Kasperkiewicz H, Blecharz P, Jereczek-Fossa B - Pol J Radiol (2014)

ROC curves of ADC value. The blue line shows the ROC curve calculated to differentiate low, intermediate, and high grade. The green line shows the ROC curve calculated to differentiate low, intermediate – and high grade. The dashed line shows the control line (A control line represents the ROC curve for random distribution of cases in more and less aggressive tumors).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4257483&req=5

f6-poljradiol-79-450: ROC curves of ADC value. The blue line shows the ROC curve calculated to differentiate low, intermediate, and high grade. The green line shows the ROC curve calculated to differentiate low, intermediate – and high grade. The dashed line shows the control line (A control line represents the ROC curve for random distribution of cases in more and less aggressive tumors).
Mentions: We evaluated whether ADC results allow to determine cancer stage. The patients were divided into two groups using two different ways, depending on cancer stage in GS. The first way: patients with low Gleason score (Gleason, ≤6) were compared with patients with more advanced disease (GS=7 together with GS >7). The second way: patients with less advanced disease (a combined group of patients with low GS ≤6 and medium GS=7) were compared with patients with high GS >7. The ROC curve of the analysed parameter located closer to the left upper corner indicates higher precision of examination considering the parameter given (100% of specificity and sensitivity), which results in a bigger area under ROC curve (AUC – area under curve) (Figure 6).

Bottom Line: Mean ADC values for patients with low, intermediate and high GS were 0.85±0.03, 0.72±0.03, and 0.61±0.04, respectively.DWI/ADC is useful in differentiating high-risk patients from those at low and intermediate risk, since there is a significant correlation between ADC values determined in patients included in three different groups according to their Gleason score.This information may be helpful in the assessment of prostate cancer aggressiveness.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiology, Centre of Oncology, Maria Sklodowska-Curie Memorial Institute of Oncology, Cracow, Poland.

ABSTRACT

Background: The aim of this study was to investigate the utility of diffusion weighted imaging (DWI) using Apparent Diffusion Coefficient (ADC) values in discriminating between patients with tumors and normal prostate tissue before the initial systematic core biopsy. The relationship between histological grade of prostate cancer and ADC values in the peripheral zone was also investigated.

Material/methods: Our study included 62 patients who underwent magnetic resonance imaging (MRI) of the pelvis. The examinations were performed in T1-, T2-weighted, DWI and T1 after dynamic contrast administration sequences. In all patients there were abnormal foci within the peripheral zone determined in DWI/ADC. ADC values were compared with the Gleason score (GS) after core needle biopsy (CNB) in patients with low, medium and high stage tumors.

Results: Within the examined group of patients, ADC was statistically higher for normal tissue than for cancerous tissue (p=0.00). Mean ADC values for patients with low, intermediate and high GS were 0.85±0.03, 0.72±0.03, and 0.61±0.04, respectively.

Conclusions: DWI/ADC is useful in differentiating high-risk patients from those at low and intermediate risk, since there is a significant correlation between ADC values determined in patients included in three different groups according to their Gleason score. This information may be helpful in the assessment of prostate cancer aggressiveness.

No MeSH data available.


Related in: MedlinePlus