Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer

Yoshikawa, Miho; Ohsumi, Shozo; Sugata, Shigenori; Kataoka, Makoto; Takashima, Shigemitsu; Mochizuki, Takashi; Ikura, Hirohiko; Imai, Yutaka

doi:10.1007/s11604-007-0218-3

Cited by 150 publications

(143 citation statements)

References 17 publications

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“…In general, the sensitivity reported for diagnosis of breast cancer using MRI is larger than 90 %, but the reported specificity varies considerably and may be substantially lower (1). The sensitivity of breast DCE MRI has been reported to range from 90 % to 100 % for the detection of breast cancer, whereas the specificity has been reported to be between 20 % and 90 %, which is likely to be lower than the sensitivity (3,6,8,26,27,52). DW MRI is the only method to measure molecular diffusion in vivo.…”

Section: Resultsmentioning

confidence: 98%

“…Furtheremore, it provides extensive information without contrast medium. An ADC threshold level between malignant and benign lesions with a diagnostic accuracy is around 95 % (49,52,53). MRI s main disadvantages are: it has a long scan time and it is a relatively expensive examination.…”

Section: Resultsmentioning

confidence: 99%

“…DW MRI provides information on microstructure which has been shown to be an important index of tumor grade, and local tissue architecture, which is a sensitive early indicator of abnormality (51,52). DW MRI reflects the diffusion of water molecules in the extracellular fluid space and allows estimation of cellularity and tissue structure (48 -55).…”

Section: Diffusion-weighted Mri (Dw Mri)mentioning

confidence: 99%

“…Lesions smaller than 5 mm and lesions with central necrosis and an enhancing rim smaller than 5 mm are often harder to delineate in the DWI or lead to wrong ADC values (44,47). Application of DW MRI to the breast has been limited by movement artifacts such as breathing and heartbeats (49,52,55).…”

Section: Diffusion-weighted Mri (Dw Mri)mentioning

confidence: 99%

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Nuclear Magnetic Resonance as a Diagnostic Tool in Breast Cancer

Hnilicová¹,

Dobrota²

2012

Acta Medica Martiniana

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A b s t r a c tThe early detection and treatment of breast cancer is of direct benefit to patients. Magnetic resonance imaging (MRI) is a promising modality for detection, diagnosis, and staging of breast cancer. MRI enables two methods: the diffusion-weighted MRI (DW MRI) and the dynamic contrast enhanced MRI (DCE MRI). DW MRI reflects the diffusion of water molecules in the extracellular fluid space and allows the estimation of cellularity and tissue structure. The value of the diffusion of water in tissue is called the apparent diffusion coefficient (ADC). ADC values in malignant lesions are smaller than in benign tissue. DCE MRI yields appropriate pharmacokinetic data of physiological parameters that relate to tissue perfusion, microvascular vessel wall permeability and extracellular volume fraction. Gadolinium based contrast agent is usually used in breast DCE MRI diagnostics. Changes in the post-contrast signal intensity help to distinguish lesions according to characteristically enhanced accumulation of contrast agent. Malignant lesions are characterized by a faster and stronger signal enhancement than benign lesions which relate to their neoangiogenesis. Over the last few years, there has been appreciable interest in the use of magnetic resonance spectroscopy (MRS) for the non-invasive analysis of breast tisue metabolites. One of the spectroscopic hallmarks of the neoplastic process appears to be the presence of total choline signal in the in vivo spectrum. Despite the fact that MRI and MRS achieve excellent results, they are still not so frequently used in comparison to mammography and breast ultrasound.

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Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

Section: Diffusion-weighted Mri (Dw Mri)mentioning

confidence: 99%

Section: Diffusion-weighted Mri (Dw Mri)mentioning

confidence: 99%

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Nuclear Magnetic Resonance as a Diagnostic Tool in Breast Cancer

Hnilicová¹,

Dobrota²

2012

Acta Medica Martiniana

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“…Diffusion can be quantified by using the apparent diffusion coefficient (ADC) value to increase the specificity of DWI [12]. The movement of water molecules is much more restricted in tissues with a higher cellular content and associated with numerous intact cell membranes [13] [14] as seen in malignant breast lesion. The cell density is increased in malignant breast cancer, which corresponds to lower ADC values [13] [15]- [17] on DWI.…”

Section: Introductionmentioning

confidence: 99%

Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T

Gupta

Liu

Wang

et al. 2016

OJRad

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Prognostic prediction of resectable colorectal liver metastasis using the apparent diffusion coefficient from diffusion‐weighted magnetic resonance imaging

Yoshikawa

Morine

Yamada

et al. 2020

Annals of Gastroent Surgery

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Aim Diffusion‐weighted magnetic resonance imaging (DWI‐MRI) is used to predict tumor malignancy. Here we explored the role of apparent diffusion coefficient (ADC) values in the treatment of patients with resectable colorectal liver metastasis (CRLM). Methods Magnetic resonance imaging (MRI) scans were conducted using a Signa HDe or Signa Explorer 1.5‐T scanner (GE Healthcare). ADC maps were calculated using DWI with b values of 0, 20, and 800 s/mm2. We enrolled 60 patients who underwent upfront hepatic resection for CRLM and divided them into ADC‐high (n = 30) and ADC‐low (n = 30) groups. Clinicopathological variables of the groups were compared. Immunohistochemical analysis of HIF‐1α expression in tumor tissues was performed, and the relationship between the ADC value and HIF‐1α expression was evaluated. Results The disease‐free survival rate of the ADC‐low group was significantly lower than that of the ADC‐high group (P < .05). Univariate analysis revealed that tumor number (more than five), synchronous metastasis, and low ADC were prognostic factors. Multivariate analysis identified low ADC as an independent prognostic factor. Furthermore, the ADC‐low group more frequently expressed high levels of HIF‐1α than the ADC‐high group. Conclusion Low ADC values were an independent prognostic factor of resectable CRLM and correlated with HIF‐1α expression.

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Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer

Abstract: The mean ADC values for breast cancer were significantly different from that of normal breasts. The mean ADC value for breast cancer did not significantly correlate with cancer cellularity but did correlate with histological types.

Cited by 150 publications

References 17 publications

Nuclear Magnetic Resonance as a Diagnostic Tool in Breast Cancer

Nuclear Magnetic Resonance as a Diagnostic Tool in Breast Cancer

Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T

Prognostic prediction of resectable colorectal liver metastasis using the apparent diffusion coefficient from diffusion‐weighted magnetic resonance imaging

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