Characterization of malignancy of adnexal lesions using ADC entropy: Comparison with mean ADC and qualitative DWI assessment

Kierans, Andrea S.; Bennett, Genevieve L.; Mussi, Thais C.; Babb, James S.; Rusinek, Henry; Melamed, Jonathan; Rosenkrantz, Andrew B.

doi:10.1002/jmri.23794

Cited by 59 publications

(63 citation statements)

References 20 publications

(37 reference statements)

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“…1,3 Thus, it is widely recognized that the whole-lesion analysis method, which contains all voxels from all sections covering the entire tumour, may better reveal intratumoral heterogeneity and improve clinical evaluation compared with focusing on a limited tumour area, such as the largest cross-sectional area. [27][28][29] In recent years, medical imaging of spatial tumour heterogeneity has drawn significant attention owing to its non-invasive nature and the potential to assess the lesion in its entirety, as compared with local tissue sampling through the course of a biopsy.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, entropy reflects textural variation and increases with greater macroscopic heterogeneity. 3 Higher entropy indicates the presence of a large number of voxels with different values in an unpredictable distribution and is believed to represent greater macroscopic structural heterogeneity of the tissue, suggesting a higher probability for malignancy. ADC entropy has been shown to be of value in the characterization of liver fibrosis, multiple sclerosis and adrenal masses.…”

Section: Introductionmentioning

confidence: 99%

“…ADC entropy has been shown to be of value in the characterization of liver fibrosis, multiple sclerosis and adrenal masses. [3][4][5][6] This study aimed to investigate the significance of these two parameters of the histogram, the whole-lesion (multislice) mean ADC value and the ADC entropy in the characterization of the breast lesions, by evaluating their sensitivity and specificity and comparing their diagnostic efficacy.…”

Section: Introductionmentioning

confidence: 99%

“…the number of corresponding voxels normalized to the total number of lesion voxels). 3 Images with susceptibility artefacts were excluded, as well as cases with lesion sizes ,8 mm (i.e. twice the image slice thickness of 4 mm), as this is the minimum appropriate size to perform multislice processing.…”

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confidence: 99%

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Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Bougias¹,

Ghiatas²,

Priovolos³

et al. 2016

The British Journal of Radiology

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Objective: To prospectively assess the role of wholelesion apparent diffusion coefficient (ADC) metrics in the characterization of breast tumours by comparing ADC value with ADC entropy. Methods: 49 patients with 53 breast lesions underwent phased-array breast coil 1.5-T MRI. Two radiologists experienced in breast MRI, blinded to the final diagnosis, reviewed the ADC maps and placed a volume of interest on all slices including each lesion on the ADC map to obtain whole-lesion mean ADC value and ADC entropy. The mean ADC value and ADC entropy in benign and malignant lesions were compared by the Mann-Whitney U-test. Receiver-operating characteristic analysis was performed to assess the sensitivity and specificity of the two variables in the characterization of the breast lesions. Results: The benign (n 5 19) and malignant lesions (n 5 34) had mean diameters of 20.8 mm (10.1-31.5 mm) and 26.4 mm (10.5-42.3 mm), respectively. The mean ADC value of the malignant lesions was significantly lower than that of the benign ones (0.87 3 10 23 vs , the sensitivity and specificity for diagnosing malignancy became optimal (97.1% and 93.7, respectively) with an area under the curve (AUC) of 0.975. With regard to ADC entropy, the sensitivity and specificity at a cut-off of 5.18 were 67.6 and 68.7%, respectively, with an AUC of 0.664. Conclusion: Whole-lesion mean ADC could be a helpful index in the characterization of suspicious breast lesions, with higher sensitivity and specificity than ADC entropy. Advances in knowledge: Two separate parameters of the whole-lesion histogram were compared for their diagnostic accuracy in characterizing breast lesions. Mean ADC was found to be able to characterize breast lesions, whereas entropy proved to be unable to differentiate benign from malignant breast lesions. It is, however, likely that entropy may distinguish these two groups if a larger cohort were used, or the fact that this may be influenced by the molecular subtypes of breast cancers included.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Bougias¹,

Ghiatas²,

Priovolos³

et al. 2016

The British Journal of Radiology

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“…ДВ МРТ позволяет оценить интенсивность броуновского движения молекул воды в исследуемой области, что, в свою очередь, отражает биофизические свойства ткани, в том числе клеточную плотность и структурную организацию ткани, показатели микроциркуляции и коэффициент диффузии [31]. Мето-дика дает возможность осуществлять количественную оценку с помощью измеряемого коэффициента диффузии (ИКД) -параметра, который отражает значения скорости теплового движения молекул воды, его величина уменьша-ется с увеличением в образовании количества опухолевых клеток [32,33].…”

Section: возможности применения диффузионно-взвешенных изображений маunclassified

Current Possibilities of Magnetic – Resonance Imaging in Detection of Ovarian Cancer

Рубцова¹,

Новикова²,

Sychenkova³

2017

Issled. prakt. med. (Print)

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Whole‐lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy

Rosenkrantz

Triolo

Melamed

et al. 2014

Magnetic Resonance Imaging

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Purpose To retrospectively assess the utility of whole-lesion apparent diffusion coefficient (ADC) metrics in characterizing the Gleason 4 component of Gleason 7 prostate cancer (PCa) at radical prostatectomy. Materials and Methods Seventy patients underwent phased-array coil 3T-magnetic resonance imaging (MRI) before prostatectomy. A uropathologist mapped locations and Gleason 4 percentage (G4%) of Gleason 7 tumors. Two radiologists independently reviewed ADC maps, aware of tumor locations but not G4%, and placed a volume-of-interest (VOI) on all slices including each lesion on the ADC map to obtain whole-lesion mean ADC and ADC entropy. Entropy reflects textural variation and increases with greater macroscopic heterogeneity. Performance for characterizing Gleason 7 tumors was assessed with mixed-model analysis of variance (ANOVA) and logistic regression. Results Among 84 Gleason 7 tumors (G4% 5%–85%, median 30%; 59 Gleason 3+4, 25 Gleason 4+3), ADC entropy was significantly higher in Gleason 4+3 than Gleason 3+4 tumors (R1: 5.27 ± 0.61 vs. 4.62 ± 0.78, P =0.001; R2: 5.91 ± 0.32 vs. 5.57 ± 0.56, P =0.004); mean ADC was not significantly different between these groups (R1: 0.90 ± 0.15*10−3cm2/s vs. 0.98 ± 0.21 *10−3cm2/s, P =0.075; R2: 1.06 ± 0.19*10−3cm2/s vs. 1.14 ± 0.16*10−3cm2/s, P =0.083). The area under the receiver operating characteristic (ROC) curve (AUC) for differentiating groups was significantly higher with ADC entropy than mean ADC for one observer (R1: 0.74 vs. 0.57, P =0.027; R2: 0.69 vs. 0.61, P =0.329). For R1, correlation with G4% was moderate for ADC entropy (r =0.45) and weak for mean ADC (r =−0.25). For R2, correlation with G4% was moderate for ADC entropy (r =0.41) and mean ADC (r =−0.32). For both readers, ADC entropy (P =0.028–0.003), but not mean ADC (P =0.384–0.854), was a significant independent predictor of G4%. Conclusion Whole-lesion ADC entropy outperformed mean ADC in characterizing Gleason 7 tumors and may help refine prognosis for this heterogeneous PCa subset.

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Characterization of malignancy of adnexal lesions using ADC entropy: Comparison with mean ADC and qualitative DWI assessment

Cited by 59 publications

References 20 publications

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Current Possibilities of Magnetic – Resonance Imaging in Detection of Ovarian Cancer

Whole‐lesion apparent diffusion coefficient metrics as a marker of percentage Gleason 4 component within Gleason 7 prostate cancer at radical prostatectomy

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