ADC Mapping of Benign and Malignant Breast Tumors

Woodhams, Reiko; Matsunaga, Keiji; Kan, Shinichi; Hata, Hirofumi; Ozaki, Masanori; Iwabuchi, Kazuya; Kuranami, Masaru; Watanabe, Masahiko; Hayakawa, Kazushige

doi:10.2463/mrms.4.35

Cited by 308 publications

(295 citation statements)

References 29 publications

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“…Many studies report absolute threshold ADC values to differentiate benign and malignant lesions (6,7,(11)(12)(13)(14). However, all authors recommended other threshold ADC values, ranging from 1.10Á10 À3 to 1.60Á10 À3 mm 2 /s.…”

Section: Discussionmentioning

confidence: 99%

“…Many different strategies have been proposed to increase the specificity such as calculating pharmacokinetic contrast parameters (4), T2*-weighted perfusion imaging (5) and MR spectroscopy (5). A promising adjunct MRI technique is diffusion-weighted imaging (DWI) (6)(7)(8)(9)(10)(11)(12)(13)(14)(15). In DCE Breast MRI, lesions are characterized based on morphology, internal enhancement, and kinetic enhancement pattern (16,17).…”

Section: In Recent Years Dynamic Contrast Enhanced (Dce)mentioning

confidence: 99%

“…Reported absolute ADC threshold values range from 1.10Á10 À3 to 1.60Á10 À3 mm 2 /s (6,7,(11)(12)(13). This variability can be attributed to several factors, including variation in physiological characteristics of the lesions, the use of different scan techniques, and variation in image analysis for ADC calculation.…”

Section: In Recent Years Dynamic Contrast Enhanced (Dce)mentioning

confidence: 99%

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Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: The influence of the choice of b‐values

Peters

Vincken

Bosch

et al. 2010

Magnetic Resonance Imaging

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Section: Discussionmentioning

confidence: 99%

Section: In Recent Years Dynamic Contrast Enhanced (Dce)mentioning

confidence: 99%

Section: In Recent Years Dynamic Contrast Enhanced (Dce)mentioning

confidence: 99%

See 1 more Smart Citation

Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: The influence of the choice of b‐values

Peters

Vincken

Bosch

et al. 2010

Magnetic Resonance Imaging

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“…Evaluation of metastatic disease is of prime importance, particularly in MIBC, although there are no studies evaluating the use of DWI for this purpose. Whole body DWI is an emerging technique currently being used for other cancers, and Woodhams et al reported that DWI has the potential in clinical appreciation to examine malignant breast tumours and support the assessment of tumour infiltration [37]. Clinical diagnosis of BC stage is currently done mostly using computed tomography (CT); however, Lista et al showed that CT could not adequately differentiate the degree of bladder wall infiltration and tumour stage in BC, and its ability to detect invasion to adjacent organs is limited [27].…”

Section: Discussionmentioning

confidence: 99%

Sensitivity and Specificity of Diffusion-Weighted Magnetic Resonance Imaging in Diagnosis of Bladder Cancers

Zhai¹,

Wang²,

Zhu³

et al. 2015

CIM

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Purpose: Our study is designed to examine the diagnostic performance of diffusion-weighted magnetic resonance imaging (DW-MRI) for bladder cancers (BC), and to determine whether DW-MRI can differentiate muscle invasive bladder cancer (MIBC) from non-MIBC (NMIBC).Methods: A meta-analysis was performed of published studies that investigated the performance of DW-MRI for BC. These studies were retrieved from scientific literature databases using sensitive electronic search strategies. The STATA 12.0 and Meta-disc software were employed for statistical analyses of data extracted from selected studies.Results: Our search initially returned 230 articles, of which 11 met the inclusion criteria and were enrolled into the final meta-analysis. Five of the included studies reported the diagnostic performance of DW-MRI for BC with a cumulative total of 243 BC patients and 82 healthy subjects. Eight studies investigated the diagnostic performance of DW-MRI for differentiating MIBC from NMIBC, involving 259 MIBC lesions and 515 NMIBC lesions. Meta-analysis results were as follows: the diagnostic performance of DW-MRI for Conclusion: DW-MRI has an outstanding diagnostic performance, with advanced sensitivity and specificity, for imaging of bladder cancers and for differentiating MIBC from NMIBC.

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“…Diffusion-weighted imaging DWI is a type of MRI sequence that captures the diffusion movement of water molecules, and is reportedly effective in distinguishing between benign and malignant tumors in the endometrium 10 . Subsequent reports indicate that DWI is also effective in distinguishing between benign and malignant tumors in various areas, and in identifying localized extension [11][12][13][14][15][16][17][18][19][20] . We therefore sought to evaluate the effectiveness of DWI in identifying localized extension of uterine body cancer.…”

Section: Introductionmentioning

confidence: 99%

The Usefulness of Diffusion-weighted Imaging in Observing Localized Extension of Endometrial Cancer

Bell

Yagi

Hatano

et al. 2014

Showa Univ J Med Sci

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: Endometrial cancer is the seventh most common human malignancy and the most common form of cancer treated in women by obstetrics and gynecology departments. Until now, magnetic resonance imaging MRI has been used for pre-surgical evaluation of endometrial cancer and evaluating the depth of myometrial invasion, in addition to being a valuable diagnostic tool. Diffusion-weighted imaging DWI has been reported as useful in distinguishing between benign and malignant tumors when observing lesions in the endometrium. Subsequent reports suggest that DWI is also effective in identifying malignancy and diagnosing local extension in a range of tissues. Based on this, we implemented a study of the effectiveness of DWI in identifying local extension of endometrial cancer. This study enrolled patients undergoing surgery at this hospital for cancer of the uterine body during the six years from January 2008 to February 2014. Cases in which images were unclear or the lesions were too small to be described by MRI examination were excluded, leaving 61 patients in the study. Using the results from pre-surgical MRI, a sequence comprising a T2-weighted axial view alone and a T2-weighted axial view to which a diffusion-weighted axial view had been added was created for each patient. Two radiologists then independently examined the image sequence to determine localized extension. Following surgery, the presurgical assessment was compared to the localized extension determined by histopathology of post-surgical samples to evaluate the effectiveness of adding diffusionweighted imaging to the process. The rst radiographic interpreter s rate of correct diagnosis using the T2-weighted axial view alone was 45 out of 55 cases 81.8 , while using the T2-weighted axial view to which a diffusion-weighted axial view had been added gave a correct diagnosis rate of 51 out of 55 cases 92.7 . The second radiographic interpreter s rate of correct diagnosis using the T2-weighted axial view alone was 41 out of 55 cases 74.5 , while using the T2-weighted axial view with diffusion-weighted axial view added gave a correct diagnosis rate of 51 out of 55 cases 92.7 . These differences were statistically signi cant based on the McNemar testing. This study con rmed that DWI is an effective means of diagnosing localized extension from images. It is anticipated that DWI will be used in the future clinical workplace to provide more accurate pre-surgical diagnoses.

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ADC Mapping of Benign and Malignant Breast Tumors

Abstract: DWI has the potential in clinical appreciation to detect malignant breast tumors and support the evaluation of tumor extension. However, the benign proliferative change remains to be studied as it mimics the malignant phenomenon on the ADC map.

Cited by 308 publications

References 29 publications

Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: The influence of the choice of b‐values

Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: The influence of the choice of b‐values

Sensitivity and Specificity of Diffusion-Weighted Magnetic Resonance Imaging in Diagnosis of Bladder Cancers

The Usefulness of Diffusion-weighted Imaging in Observing Localized Extension of Endometrial Cancer

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