2020
DOI: 10.1007/s00330-020-06866-x
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Radiomics analysis of dual-energy CT-derived iodine maps for diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer

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Cited by 56 publications
(42 citation statements)
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“…We found that the parameter model had high accuracy and diagnostic values in diagnosing small lymph nodes of thyroid cancer, which was better than that of the image model based on conventional CT images at small FOV, especially for lymph nodes with short diameter <3 mm. Our diagnostic accuracy of LN status is also better than that in previous studies (5)(6)(7)(8)(9). We have used AUC and calibration curve to evaluate the discrimination and calibration of the parameter model, and its discrimination and calibration are excellent.…”
Section: Discussionmentioning
confidence: 64%
“…We found that the parameter model had high accuracy and diagnostic values in diagnosing small lymph nodes of thyroid cancer, which was better than that of the image model based on conventional CT images at small FOV, especially for lymph nodes with short diameter <3 mm. Our diagnostic accuracy of LN status is also better than that in previous studies (5)(6)(7)(8)(9). We have used AUC and calibration curve to evaluate the discrimination and calibration of the parameter model, and its discrimination and calibration are excellent.…”
Section: Discussionmentioning
confidence: 64%
“…Despite their selective quantification and visualization of tumor blood supply, data is particularly scarce on the significance of DECT iodine map radiomic features in oncologic imaging. In one of the few available studies, Zhou et al demonstrated excellent performance of iodine map radiomic combined with CT imaging features in diagnosing cervical lymph node metastases of thyroid cancer, yielding an AUC of 0.895 in the validation dataset [ 23 ]. While their model was based on lymph node feature extraction, we stratified patients into metastatic and non-metastatic groups based on features of the treatment-naïve primary breast tumor ( Figure 2 ).…”
Section: Discussionmentioning
confidence: 99%
“…In the DECT study with GSI spectral analysis, the requirement for using maps depending on the atomic composition is that the examined matter or the contrast material in the studied area has spectral properties—that is, it differs from the “background” in attenuation of X-rays at different photon energies. Maps depending on the concentration of iodine administered as a contrast agent in DECT (IC) are widely used in oncology for diagnostics [ 28 , 29 , 30 ], perfusion assessment [ 31 , 32 , 33 ], and prognosis [ 34 ]. Since the iodine concentration in lung tumors has the same value depending on the amount of contrast in the tumor vessels on the VMI maps, we used the accumulated iodine atoms to assess their influence on the photon energy absorption and to investigate for which scanning energies the images obtained are strictly dependent on injected contrast agent, and for which it is not the case, which helps to optimize the use of DECT in clinical practice.…”
Section: Discussionmentioning
confidence: 99%