Distinguishing enhancing from nonenhancing renal masses with dual-source dual-energy CT: iodine quantification versus standard enhancement measurements

Ascenti, Giorgio; Mileto, Achille; Krauß, Bernhard; Gaeta, Michele; Blandino, Alfredo; Scribano, Emanuele; Settineri, Nicola; Mazziotti, Silvio

doi:10.1007/s00330-013-2811-4

Cited by 123 publications

(63 citation statements)

References 32 publications

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“…13,15 One possible reason might be because the smallest size of renal lesions in our study was 0.5 cm, whereas that of renal lesions in other previous studies was 1 cm 13,15 Our study demonstrated that IO images from the CMP had 11 false-positive cases (size range, 0.5-1.1 cm) and IO images from the LNP had 21 false-positive cases (size range, 0.5-1.4 cm). However, no false-positive cases were found in renal lesions with the size $1.5 cm in differentiating between solid and cystic renal lesions using DECT.…”

Section: Discussionmentioning

confidence: 52%

“…Several recent studies have reported the utility of iodine quantification on DECT in distinguishing enhancing from non-enhancing renal lesions. 15,16 Further studies should be performed to evaluate whether this technique is superior to standard enhancement measurement or can overcome the issue of pseudoenhancement in renal cysts. Fifth, we did not perform qualitative analysis for IO and linearly blended images.…”

Section: Discussionmentioning

confidence: 99%

“…[12][13][14][15][16] Furthermore, IO 15 images can be useful for differentiating between solid and benign cystic renal lesions. 13,17,18 To our knowledge, no studies have demonstrated the utility of DECT in evaluating hyperdense renal lesions incidentally detected on single-phase post-contrast CT.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of hyperdense renal lesions incidentally detected on single-phase post-contrast CT using dual-energy CT

Cha¹,

Kim²,

Park³

et al. 2016

BJR

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Objective: To investigate the utility of dual-energy CT (DECT) for differentiating between solid and benign cystic lesions presenting as hyperdense renal lesions incidentally detected on single-phase post-contrast CT. Methods: 90 hyperdense renal lesions incidentally detected on single-phase post-contrast CT were evaluated with followup DECT. DECT protocols included true non-contrast (TNC), DE corticomedullary and DE late nephrographic phase imaging. The CT numbers of hyperdense renal lesions were calculated on linearly blended and iodine overlay (IO) images, and the results were compared. Results: In total, 47 benign cystic and 43 solid renal lesions were analyzed. For differentiating between solid and benign cystic lesions on the two phases, the specificity and accuracy of all lesions and lesions ,1.5 cm were statistically lower in IO images than in linearly blended images (p , 0.05), while those for lesions $1.5 cm were not statistically different between them (p . 0.05). For all types of lesions $1.5 cm, the CT numbers between linearly blended and IO images and between TNC and virtual non-contrast images were not statistically different (p . 0.05). Conclusion: DECT may be useful for differentiating between solid and benign cystic lesions presenting as hyperdense renal lesions incidentally detected on singlephase post-contrast CT, particularly with the size $1.5 cm. Advances in knowledge: DECT may be used to characterize hyperdense renal lesions $1.5 cm incidentally detected on single-phase post-contrast CT, without the use of TNC images.

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Section: Discussionmentioning

confidence: 52%

Section: Discussionmentioning

confidence: 99%

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Evaluation of hyperdense renal lesions incidentally detected on single-phase post-contrast CT using dual-energy CT

Cha¹,

Kim²,

Park³

et al. 2016

BJR

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“…Iodine image is hypersensitive to the iodine preparation meaning IC can directly indicate the distribution of blood perfusion in lesions. Compared with the conventional CT, IC is a more suitable imaging index for accurately analyzing slightly enhancing lesions [17-20]. IC has been applied for evaluating the effectiveness of anti-tumor treatment including hepatocellular carcinoma, gastric stromal tumor, and non-small cell lung cancer.…”

Section: Discussionmentioning

confidence: 99%

The Concentration of Iodine in Perigastric Adipose Tissue: A Novel Index for the Assessment of Serosal Invasion in Patients with Gastric Cancer after Neoadjuvant Chemotherapy

et al. 2018

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Objective: This study aims to explore the association between iodine concentration (IC) in perigastric adipose tissue (PAT), quantified by dual-energy computed tomography (DECT) and serosal invasion (SI) in patients with gastric cancer post-neoadjuvant chemotherapy (NAC). Methods: Forty-three patients with T4-staged gastric cancer were enrolled. IC and standardized IC in PAT (IC_PAT and SIC_PAT) were quantified by DECT pre and post NAC. A postoperative pathologic examination was performed to stage gastric cancer. Results: After NAC, a total of 43 participants were assigned to group A with 13 patients and group B with 30 patients according to the results of the postoperative pathologic examination. The accuracy of conventional CT in identifying SI was 74.42%. Differences of variations between pre- and post- NAC IC_PAT, SIC_PAT, ∆IC_PAT, and ∆SIC_PAT were observed respectively (p < 0.05). Intragroup IC_PAT and SIC_PAT also changed significantly after NAC (p < 0.05). The area under the ROC curve was 0.929, with the threshold of ∆SIC_PAT reaching 0.095. The sensitivity, specificity, and accuracy of SIC_PAT in identifying post-NAC SI were 92.30, 86.70, and 88.37% respectively. Moreover, the 2 measurements in the same patient maintain a high level of consistency. Conclusion: These results showed that SIC_PAT is a reliable index for identifying post-NAC SI.

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“…Recently, Ascenti et al [60] demonstrated that spectral-based dual-energy CT iodine quantification is more accurate than standard enhancement measurements in distinguishing enhancing from non-enhancing renal masses , especially in depicting minimally enhancing neoplasms, such as papillary RCC and/or in excluding enhancement in small renal cysts (Figs. 3.15 and 3.16).…”

Section: Spectral Ct: Study Protocols and Clinical Applicationsmentioning

confidence: 97%

Renal Masses

Ascenti¹,

Mileto²,

Krauß³

et al. 2013

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Distinguishing enhancing from nonenhancing renal masses with dual-source dual-energy CT: iodine quantification versus standard enhancement measurements

Cited by 123 publications

References 32 publications

Evaluation of hyperdense renal lesions incidentally detected on single-phase post-contrast CT using dual-energy CT

Evaluation of hyperdense renal lesions incidentally detected on single-phase post-contrast CT using dual-energy CT

The Concentration of Iodine in Perigastric Adipose Tissue: A Novel Index for the Assessment of Serosal Invasion in Patients with Gastric Cancer after Neoadjuvant Chemotherapy

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