Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions
To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast. The study included 52 women with 55 breast lesions...
Saved in:
| Published in | European journal of radiology Vol. 82; no. 12; pp. e801 - e806 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Ireland
Elsevier Ireland Ltd
01.12.2013
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 0720-048X 1872-7727 1872-7727 |
| DOI | 10.1016/j.ejrad.2013.09.001 |
Cover
| Abstract | To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast.
The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500s/mm2 for DWI and b 0 and 1000s/mm2 for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses.
Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤1.23×10−3mm2/s (b 0–1000s/mm2) and ≤1.12×10−3mm2/s (b 0–1500s/mm2), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤1.27×10−3mm2/s (b 1000s/mm2), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500s/mm2 and MD with a b value of 0, 1000s/mm2 (AUC=0.82±0.07).
ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision. |
|---|---|
| AbstractList | Abstract Purpose To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast. Materials and methods The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500 s/mm2 for DWI and b 0 and 1000 s/mm2 for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses. Results Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma ( p = 0.001). The FA showed no statistical significance. With the cut-off values of ≤1.23 × 10−3 mm2 /s ( b 0–1000 s/mm2 ) and ≤1.12 × 10−3 mm2 /s ( b 0–1500 s/mm2 ), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤1.27 × 10−3 mm2 /s ( b 1000 s/mm2 ), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500 s/mm2 and MD with a b value of 0, 1000 s/mm2 (AUC = 0.82 ± 0.07). Conclusion ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision. To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast. The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500s/mm2 for DWI and b 0 and 1000s/mm2 for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses. Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤1.23×10−3mm2/s (b 0–1000s/mm2) and ≤1.12×10−3mm2/s (b 0–1500s/mm2), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤1.27×10−3mm2/s (b 1000s/mm2), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500s/mm2 and MD with a b value of 0, 1000s/mm2 (AUC=0.82±0.07). ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision. To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast. The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500 s/mm(2) for DWI and b 0 and 1000 s/mm(2) for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses. Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤ 1.23 × 10(-3)mm(2)/s (b 0-1000 s/mm(2)) and ≤ 1.12 × 10(-3)mm(2)/s (b 0-1500 s/mm(2)), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤ 1.27 × 10(-3)mm(2)/s (b 1000 s/mm(2)), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500 s/mm(2) and MD with a b value of 0, 1000 s/mm(2) (AUC = 0.82 ± 0.07). ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision. To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast.PURPOSETo evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) for discrimination of malignant breast lesions from benign lesions and the normal breast.The study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500 s/mm(2) for DWI and b 0 and 1000 s/mm(2) for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses.MATERIALS AND METHODSThe study included 52 women with 55 breast lesions (30 malignant, 25 benign). DTI and DWI were performed complementary to dynamic contrast MRI at 3T. Apparent diffusion coefficient (ADC) of DWI, mean diffusivity (MD) and fractional anisotropy (FA) values of DTI were measured for lesions and contralateral breast parenchyma in each patient. We used b factors of 0, 50, 850, 1000 and 1500 s/mm(2) for DWI and b 0 and 1000 s/mm(2) for DTI. ADC, MD and FA values were compared between malignant and benign lesions, and the normal parenchyma by univariate and multivariate analyses.Diffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤ 1.23 × 10(-3)mm(2)/s (b 0-1000 s/mm(2)) and ≤ 1.12 × 10(-3)mm(2)/s (b 0-1500 s/mm(2)), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤ 1.27 × 10(-3)mm(2)/s (b 1000 s/mm(2)), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500 s/mm(2) and MD with a b value of 0, 1000 s/mm(2) (AUC = 0.82 ± 0.07).RESULTSDiffusion parameters showed no difference according to menopausal status in the normal breast. ADC and MD values of the malignant lesions were significantly lower than benign lesions and normal parenchyma (p=0.001). The FA showed no statistical significance. With the cut-off values of ≤ 1.23 × 10(-3)mm(2)/s (b 0-1000 s/mm(2)) and ≤ 1.12 × 10(-3)mm(2)/s (b 0-1500 s/mm(2)), ADC showed 92.85% and 96.15% sensitivity; 72.22% and 73.52% PPV, respectively. With a cut-off value of ≤ 1.27 × 10(-3)mm(2)/s (b 1000 s/mm(2)), MD was 100% sensitive with a PPV of 65.90%. Comparing the diagnostic performance of the parameters in DTI with DWI, we obtained similar efficiency of ADC with b values of 0,1000 and 0,1500 s/mm(2) and MD with a b value of 0, 1000 s/mm(2) (AUC = 0.82 ± 0.07).ADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision.CONCLUSIONADC of DWI and MD of DTI values provide significant discriminative factors for benign and malignant breast lesions. FA measurement was not discriminative. Supported with clinical and dynamic contrast MRI findings, DWI and DTI findings provide significant contribution to the final radiologic decision. |
| Author | Cakir, Ozgur Arslan, Arzu Inan, Nagihan Sarısoy, Tahsin Anık, Yonca Gumustas, Sevtap Akansel, Gur |
| Author_xml | – sequence: 1 givenname: Ozgur surname: Cakir fullname: Cakir, Ozgur email: cakirozgur@hotmail.com – sequence: 2 givenname: Arzu surname: Arslan fullname: Arslan, Arzu email: arzu.s.arslan@gmail.com, arzuarslan@netscape.net – sequence: 3 givenname: Nagihan surname: Inan fullname: Inan, Nagihan email: nagihaninan@yahoo.com.tr – sequence: 4 givenname: Yonca surname: Anık fullname: Anık, Yonca email: yoncaanik@yahoo.com – sequence: 5 givenname: Tahsin surname: Sarısoy fullname: Sarısoy, Tahsin email: htsarisoy@yahoo.com – sequence: 6 givenname: Sevtap surname: Gumustas fullname: Gumustas, Sevtap email: svtgumustas@yahoo.com – sequence: 7 givenname: Gur surname: Akansel fullname: Akansel, Gur email: gakansel@gmail.com |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24099642$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFUl1r1TAYDrLhzqa_QJBeetOapOlJgyiMg1Nh4MUUvAtp8vYstU2OSarsT_ibl3q2MQZuVy_k-UjyPO8xOnDeAUKvCK4IJuu3QwVDUKaimNQVFhXG5BlakZbTknPKD9AKc4pLzNofR-g4xgFj3DBBn6MjyrAQa0ZX6O_GTzsVbPSu8H2RLqEwVm2dj8nqYgeh92FSTkNcYGP7fo42c7NGTZAgxMK6e-d_wG4vE5jCTmpr3bZQztyDE7jowx2YLbsAKqZihAWPL9Bhr8YIL2_mCfp-9vHb5nN5_vXTl83peanZmqaSdoYzrojpFG1q2hrRAQEjgJuuIYp1XLXMNFw0WPc1Joz1WrREUQHr2hBen6A3e99d8L9miElONmoYR-XAz1ES1mDCuRAiU1_fUOduAiN3Ib8-XMnbDDNB7Ak6-BgD9FLbpFL-TgrKjpJgufQlB_mvL7n0JbGQua-srR9ob-0fV73fqyBH9NtCkFFbyCUZG0Anabx9Qv_hgV6P1lmtxp9wBXHwc3A5fUlkpBLLi2WPljUidR6cs2zw7v8GT15_DfUi3Ac |
| CitedBy_id | crossref_primary_10_1002_jmri_25855 crossref_primary_10_1002_jmri_26228 crossref_primary_10_1002_jmri_26985 crossref_primary_10_1259_bjr_20160304 crossref_primary_10_1016_j_mri_2015_12_013 crossref_primary_10_1016_j_chemolab_2023_104777 crossref_primary_10_1007_s00330_019_06510_3 crossref_primary_10_3389_fphy_2022_809133 crossref_primary_10_1002_jmri_26908 crossref_primary_10_1371_journal_pone_0232856 crossref_primary_10_1186_s12880_022_00897_0 crossref_primary_10_1002_mrm_25555 crossref_primary_10_1259_bjr_20160076 crossref_primary_10_1002_jmri_25292 crossref_primary_10_1148_radiol_2019182510 crossref_primary_10_1186_s43055_022_00831_y crossref_primary_10_1007_s00330_018_5429_8 crossref_primary_10_1371_journal_pone_0138702 crossref_primary_10_1186_s13058_019_1183_3 crossref_primary_10_1371_journal_pone_0122516 crossref_primary_10_1016_j_clbc_2017_06_011 crossref_primary_10_1007_s00330_017_4898_5 crossref_primary_10_2463_mrms_mp_2016_0037 crossref_primary_10_1186_s43055_022_00886_x crossref_primary_10_3390_diagnostics11081311 crossref_primary_10_1007_s00330_019_06435_x crossref_primary_10_1002_nbm_3679 crossref_primary_10_1007_s11547_023_01600_1 crossref_primary_10_3171_2015_6_FOCUS15228 crossref_primary_10_1016_j_mri_2018_08_017 crossref_primary_10_2214_AJR_14_13834 crossref_primary_10_1002_jmri_25481 crossref_primary_10_12659_MSM_895755 crossref_primary_10_1002_jmri_25479 crossref_primary_10_1007_s00330_017_5291_0 crossref_primary_10_12677_ACM_2022_1291165 crossref_primary_10_1002_nbm_4032 crossref_primary_10_1016_j_clinimag_2023_03_016 crossref_primary_10_3390_cancers13071606 crossref_primary_10_1186_s12885_019_6201_4 crossref_primary_10_1016_j_radi_2017_02_002 crossref_primary_10_1186_s43055_021_00473_6 crossref_primary_10_3389_fonc_2019_01229 crossref_primary_10_1055_a_2339_8462 crossref_primary_10_1007_s11547_014_0479_8 crossref_primary_10_1016_j_clinimag_2015_12_001 crossref_primary_10_1016_j_clinimag_2018_10_002 crossref_primary_10_1007_s10911_017_9383_x crossref_primary_10_3390_biom9110668 |
| Cites_doi | 10.1002/jmri.22045 10.1148/radiol.2532081718 10.1097/RCT.0b013e318165dc6b 10.2214/AJR.08.1670 10.1186/1471-2407-10-693 10.1007/s12282-008-0050-3 10.1002/jmri.23519 10.1007/s00330-010-1901-9 10.1097/RLI.0b013e3182438e5d 10.1007/s00247-007-0516-z 10.1002/jmri.1204 10.1148/radiol.10091367 10.1007/s11547-012-0831-9 10.1016/j.mri.2009.10.003 10.1055/s-2005-858297 10.1148/radiol.2461061298 10.1148/rg.314105160 10.2214/AJR.08.2139 |
| ContentType | Journal Article |
| Copyright | 2013 Elsevier Ireland Ltd Elsevier Ireland Ltd Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. |
| Copyright_xml | – notice: 2013 Elsevier Ireland Ltd – notice: Elsevier Ireland Ltd – notice: Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1016/j.ejrad.2013.09.001 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 1872-7727 |
| EndPage | e806 |
| ExternalDocumentID | 24099642 10_1016_j_ejrad_2013_09_001 S0720048X13004774 1_s2_0_S0720048X13004774 |
| Genre | Journal Article Comparative Study |
| GroupedDBID | --- --K --M .1- .FO .GJ .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 29G 4.4 457 4CK 4G. 53G 5GY 5RE 5VS 6PF 7-5 71M 8P~ 9JM AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAWTL AAXKI AAXUO AAYWO ABBQC ABFNM ABJNI ABLJU ABMAC ABMZM ABWVN ABXDB ACDAQ ACIEU ACIUM ACLOT ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO AEBSH AEIPS AEKER AENEX AEUPX AEVXI AFJKZ AFPUW AFRHN AFTJW AFXIZ AGHFR AGQPQ AGUBO AGYEJ AHHHB AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HEI HMK HMO HVGLF HZ~ IHE J1W KOM M29 M41 MO0 N9A O-L O9- OAUVE OI~ OU0 OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SAE SDF SDG SEL SES SEW SPCBC SSH SSZ T5K UV1 WUQ Z5R ZGI ~G- ~HD AACTN AFCTW AFKWA AJOXV AMFUW RIG AAIAV ABLVK ABYKQ AJBFU LCYCR ZA5 AAYXX CITATION AGCQF AGRNS CGR CUY CVF ECM EIF NPM 7X8 |
| ID | FETCH-LOGICAL-c462t-2bd747a1dba25328d9be1ed9e7db51a4b7a84d57950cf30144fc981a29e63d173 |
| IEDL.DBID | .~1 |
| ISSN | 0720-048X 1872-7727 |
| IngestDate | Mon Sep 29 05:41:03 EDT 2025 Mon Jul 21 05:19:33 EDT 2025 Thu Apr 24 23:13:30 EDT 2025 Wed Oct 01 03:49:03 EDT 2025 Fri Feb 23 02:30:56 EST 2024 Sun Feb 23 10:18:46 EST 2025 Tue Oct 14 19:25:38 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 12 |
| Keywords | Diffusion tensor imaging, DTI, Apparent diffusion coefficient, ADC Fractional anisotropy, FA Breast cancer Mean diffusivity, MD Diffusion weighted imaging (DWI) |
| Language | English |
| License | Copyright © 2013 Elsevier Ireland Ltd. All rights reserved. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c462t-2bd747a1dba25328d9be1ed9e7db51a4b7a84d57950cf30144fc981a29e63d173 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| PMID | 24099642 |
| PQID | 1450177999 |
| PQPubID | 23479 |
| ParticipantIDs | proquest_miscellaneous_1450177999 pubmed_primary_24099642 crossref_citationtrail_10_1016_j_ejrad_2013_09_001 crossref_primary_10_1016_j_ejrad_2013_09_001 elsevier_sciencedirect_doi_10_1016_j_ejrad_2013_09_001 elsevier_clinicalkeyesjournals_1_s2_0_S0720048X13004774 elsevier_clinicalkey_doi_10_1016_j_ejrad_2013_09_001 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2013-12-01 |
| PublicationDateYYYYMMDD | 2013-12-01 |
| PublicationDate_xml | – month: 12 year: 2013 text: 2013-12-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Ireland |
| PublicationPlace_xml | – name: Ireland |
| PublicationTitle | European journal of radiology |
| PublicationTitleAlternate | Eur J Radiol |
| PublicationYear | 2013 |
| Publisher | Elsevier Ireland Ltd |
| Publisher_xml | – name: Elsevier Ireland Ltd |
| References | Orguc, Basara, Coskun (bib0065) 2012; 53 Poyraz, Onur, Kocakoç, Oğur (bib0085) 2012; 35 El Khouli, Jacobs, Mezban (bib0035) 2010; 256 Habermann, Gossrau, Graessner (bib0090) 2005; 177 Partridge, Ziadloo, Murthy (bib0050) 2010; 31 Kuroki, Nasu (bib0070) 2008; 15 Woodhams, Kakita, Hata (bib0080) 2009; 193 Lo, Ai, Chan (bib0025) 2009; 33 Woodhams, Ramadan, Stanwell (bib0010) 2011; 31 Eyal, Shapiro-Feinberg, Furman-Haran (bib0060) 2012; 47 Partridge, Murthy, Ziadloo, White, Allison, Lehman (bib0045) 2010; 28 Peters, Borel Rinkes, Zuithoff, Mali, Moons, Peeters (bib0005) 2008; 246 Roberts, Schwartz (bib0020) 2007; 37 Tagliafico, Rescinito, Monetti (bib0055) 2012; 117 Baltzer, Schäfer, Dietzel (bib0095) 2011; 21 Bogner, Gruber, Pinker (bib0030) 2009; 253 Partridge, DeMartini, Kurland, Eby, White, Lehman (bib0040) 2009; 193 Partridge, McKinnon, Henry, Hylton (bib0075) 2001; 14 Chen, Li, Zhang, Wu, Guo, Bai (bib0015) 2010; 29 Poyraz (10.1016/j.ejrad.2013.09.001_bib0085) 2012; 35 Eyal (10.1016/j.ejrad.2013.09.001_bib0060) 2012; 47 Roberts (10.1016/j.ejrad.2013.09.001_bib0020) 2007; 37 Partridge (10.1016/j.ejrad.2013.09.001_bib0050) 2010; 31 Peters (10.1016/j.ejrad.2013.09.001_bib0005) 2008; 246 Habermann (10.1016/j.ejrad.2013.09.001_bib0090) 2005; 177 El Khouli (10.1016/j.ejrad.2013.09.001_bib0035) 2010; 256 Tagliafico (10.1016/j.ejrad.2013.09.001_bib0055) 2012; 117 Orguc (10.1016/j.ejrad.2013.09.001_bib0065) 2012; 53 Partridge (10.1016/j.ejrad.2013.09.001_bib0075) 2001; 14 Partridge (10.1016/j.ejrad.2013.09.001_bib0040) 2009; 193 Chen (10.1016/j.ejrad.2013.09.001_bib0015) 2010; 29 Bogner (10.1016/j.ejrad.2013.09.001_bib0030) 2009; 253 Baltzer (10.1016/j.ejrad.2013.09.001_bib0095) 2011; 21 Kuroki (10.1016/j.ejrad.2013.09.001_bib0070) 2008; 15 Partridge (10.1016/j.ejrad.2013.09.001_bib0045) 2010; 28 Woodhams (10.1016/j.ejrad.2013.09.001_bib0010) 2011; 31 Lo (10.1016/j.ejrad.2013.09.001_bib0025) 2009; 33 Woodhams (10.1016/j.ejrad.2013.09.001_bib0080) 2009; 193 |
| References_xml | – volume: 37 start-page: 739 year: 2007 end-page: 748 ident: bib0020 article-title: Principles and implementation of diffusion-weighted and diffusion tensor imaging publication-title: Pediatr Radiol – volume: 53 start-page: 737 year: 2012 end-page: 743 ident: bib0065 article-title: Diffusion-weighted MR imaging of the breast: comparison of apparent diffusion coefficient values of normal breast tissue with benign and malignant breast lesions publication-title: Singapore Med J – volume: 15 start-page: 212 year: 2008 end-page: 217 ident: bib0070 article-title: Advances in breast MRI: diffusion-weighted imaging of the breast publication-title: Breast Cancer – volume: 47 start-page: 284 year: 2012 end-page: 291 ident: bib0060 article-title: Parametric diffusion tensor imaging of the breast publication-title: Invest Radiol – volume: 177 start-page: 940 year: 2005 end-page: 945 ident: bib0090 article-title: Diffusion-weighted echo-planar MRI: a valuable tool for differentiating primary parotid gland tumors? publication-title: Rofo – volume: 253 start-page: 341 year: 2009 end-page: 351 ident: bib0030 article-title: Diffusion-weighted MR for differentiation of breast lesions at 3.0T: how does selection of diffusion protocols affect diagnosis? publication-title: Radiology – volume: 117 start-page: 992 year: 2012 end-page: 1003 ident: bib0055 article-title: Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0T publication-title: Radiol Med – volume: 29 start-page: 693 year: 2010 ident: bib0015 article-title: Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions publication-title: BMC Cancer – volume: 256 start-page: 64 year: 2010 end-page: 73 ident: bib0035 article-title: Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging publication-title: Radiology – volume: 14 start-page: 433 year: 2001 end-page: 438 ident: bib0075 article-title: Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI publication-title: J Magn Reson Imaging – volume: 31 start-page: 1059 year: 2011 end-page: 1084 ident: bib0010 article-title: Diffusion-weighted imaging of the breast: principles and clinical applications publication-title: Radiographics – volume: 193 start-page: 1716 year: 2009 end-page: 1722 ident: bib0040 article-title: Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value publication-title: AJR Am J Roentgenol – volume: 31 start-page: 339 year: 2010 end-page: 347 ident: bib0050 article-title: Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors publication-title: J Magn Reson Imaging – volume: 193 start-page: 260 year: 2009 end-page: 266 ident: bib0080 article-title: Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings publication-title: AJR Am J Roentgenol – volume: 35 start-page: 1108 year: 2012 end-page: 1111 ident: bib0085 article-title: Diffusion-weighted MRI of fatty liver publication-title: J Magn Reson Imaging – volume: 28 start-page: 320 year: 2010 end-page: 328 ident: bib0045 article-title: Diffusion tensor magnetic resonance imaging of the normal breast publication-title: Magn Reson Imaging – volume: 246 start-page: 116 year: 2008 end-page: 124 ident: bib0005 article-title: Meta-analysis of MR imaging in the diagnosis of breast lesions publication-title: Radiology – volume: 21 start-page: 1 year: 2011 end-page: 10 ident: bib0095 article-title: Diffusion tensor magnetic resonance imaging of the breast: a pilot study publication-title: Eur Radiol – volume: 33 start-page: 63 year: 2009 end-page: 69 ident: bib0025 article-title: Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3T publication-title: Comput Assist Tomogr – volume: 31 start-page: 339 issue: 2 year: 2010 ident: 10.1016/j.ejrad.2013.09.001_bib0050 article-title: Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors publication-title: J Magn Reson Imaging doi: 10.1002/jmri.22045 – volume: 253 start-page: 341 issue: 2 year: 2009 ident: 10.1016/j.ejrad.2013.09.001_bib0030 article-title: Diffusion-weighted MR for differentiation of breast lesions at 3.0T: how does selection of diffusion protocols affect diagnosis? publication-title: Radiology doi: 10.1148/radiol.2532081718 – volume: 33 start-page: 63 issue: 1 year: 2009 ident: 10.1016/j.ejrad.2013.09.001_bib0025 article-title: Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3T publication-title: Comput Assist Tomogr doi: 10.1097/RCT.0b013e318165dc6b – volume: 193 start-page: 260 issue: 1 year: 2009 ident: 10.1016/j.ejrad.2013.09.001_bib0080 article-title: Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings publication-title: AJR Am J Roentgenol doi: 10.2214/AJR.08.1670 – volume: 29 start-page: 693 issue: 10 year: 2010 ident: 10.1016/j.ejrad.2013.09.001_bib0015 article-title: Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions publication-title: BMC Cancer doi: 10.1186/1471-2407-10-693 – volume: 53 start-page: 737 issue: 11 year: 2012 ident: 10.1016/j.ejrad.2013.09.001_bib0065 article-title: Diffusion-weighted MR imaging of the breast: comparison of apparent diffusion coefficient values of normal breast tissue with benign and malignant breast lesions publication-title: Singapore Med J – volume: 15 start-page: 212 issue: 3 year: 2008 ident: 10.1016/j.ejrad.2013.09.001_bib0070 article-title: Advances in breast MRI: diffusion-weighted imaging of the breast publication-title: Breast Cancer doi: 10.1007/s12282-008-0050-3 – volume: 35 start-page: 1108 issue: 5 year: 2012 ident: 10.1016/j.ejrad.2013.09.001_bib0085 article-title: Diffusion-weighted MRI of fatty liver publication-title: J Magn Reson Imaging doi: 10.1002/jmri.23519 – volume: 21 start-page: 1 issue: 1 year: 2011 ident: 10.1016/j.ejrad.2013.09.001_bib0095 article-title: Diffusion tensor magnetic resonance imaging of the breast: a pilot study publication-title: Eur Radiol doi: 10.1007/s00330-010-1901-9 – volume: 47 start-page: 284 issue: 5 year: 2012 ident: 10.1016/j.ejrad.2013.09.001_bib0060 article-title: Parametric diffusion tensor imaging of the breast publication-title: Invest Radiol doi: 10.1097/RLI.0b013e3182438e5d – volume: 37 start-page: 739 issue: 8 year: 2007 ident: 10.1016/j.ejrad.2013.09.001_bib0020 article-title: Principles and implementation of diffusion-weighted and diffusion tensor imaging publication-title: Pediatr Radiol doi: 10.1007/s00247-007-0516-z – volume: 14 start-page: 433 issue: 4 year: 2001 ident: 10.1016/j.ejrad.2013.09.001_bib0075 article-title: Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI publication-title: J Magn Reson Imaging doi: 10.1002/jmri.1204 – volume: 256 start-page: 64 issue: 1 year: 2010 ident: 10.1016/j.ejrad.2013.09.001_bib0035 article-title: Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging publication-title: Radiology doi: 10.1148/radiol.10091367 – volume: 117 start-page: 992 issue: 6 year: 2012 ident: 10.1016/j.ejrad.2013.09.001_bib0055 article-title: Diffusion tensor magnetic resonance imaging of the normal breast: reproducibility of DTI-derived fractional anisotropy and apparent diffusion coefficient at 3.0T publication-title: Radiol Med doi: 10.1007/s11547-012-0831-9 – volume: 28 start-page: 320 issue: 3 year: 2010 ident: 10.1016/j.ejrad.2013.09.001_bib0045 article-title: Diffusion tensor magnetic resonance imaging of the normal breast publication-title: Magn Reson Imaging doi: 10.1016/j.mri.2009.10.003 – volume: 177 start-page: 940 issue: 7 year: 2005 ident: 10.1016/j.ejrad.2013.09.001_bib0090 article-title: Diffusion-weighted echo-planar MRI: a valuable tool for differentiating primary parotid gland tumors? publication-title: Rofo doi: 10.1055/s-2005-858297 – volume: 246 start-page: 116 issue: 1 year: 2008 ident: 10.1016/j.ejrad.2013.09.001_bib0005 article-title: Meta-analysis of MR imaging in the diagnosis of breast lesions publication-title: Radiology doi: 10.1148/radiol.2461061298 – volume: 31 start-page: 1059 issue: 4 year: 2011 ident: 10.1016/j.ejrad.2013.09.001_bib0010 article-title: Diffusion-weighted imaging of the breast: principles and clinical applications publication-title: Radiographics doi: 10.1148/rg.314105160 – volume: 193 start-page: 1716 issue: 6 year: 2009 ident: 10.1016/j.ejrad.2013.09.001_bib0040 article-title: Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value publication-title: AJR Am J Roentgenol doi: 10.2214/AJR.08.2139 |
| SSID | ssj0005492 |
| Score | 2.303321 |
| Snippet | To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI)... Abstract Purpose To evaluate the diagnostic efficiency of the diffusion parameters measured by conventional diffusion-weighted imaging (DWI) and diffusion... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | e801 |
| SubjectTerms | Aged Algorithms Breast cancer Breast Diseases - diagnosis Breast Neoplasms - diagnosis Diagnosis, Differential Diffusion Magnetic Resonance Imaging - methods Diffusion Tensor Imaging - methods Diffusion tensor imaging, DTI, Apparent diffusion coefficient, ADC Diffusion weighted imaging (DWI) Female Fractional anisotropy, FA Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic Resonance Imaging - methods Mean diffusivity, MD Middle Aged Radiology Reproducibility of Results Sensitivity and Specificity Young Adult |
| Title | Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0720048X13004774 https://www.clinicalkey.es/playcontent/1-s2.0-S0720048X13004774 https://dx.doi.org/10.1016/j.ejrad.2013.09.001 https://www.ncbi.nlm.nih.gov/pubmed/24099642 https://www.proquest.com/docview/1450177999 |
| Volume | 82 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Baden-Württemberg Complete Freedom Collection (Elsevier) customDbUrl: eissn: 1872-7727 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0005492 issn: 0720-048X databaseCode: GBLVA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier ScienceDirect customDbUrl: eissn: 1872-7727 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0005492 issn: 0720-048X databaseCode: ACRLP dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier ScienceDirect customDbUrl: eissn: 1872-7727 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0005492 issn: 0720-048X databaseCode: .~1 dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals [SCFCJ] customDbUrl: eissn: 1872-7727 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0005492 issn: 0720-048X databaseCode: AIKHN dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier – providerCode: PRVLSH databaseName: Elsevier Journals customDbUrl: mediaType: online eissn: 1872-7727 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0005492 issn: 0720-048X databaseCode: AKRWK dateStart: 19900101 isFulltext: true providerName: Library Specific Holdings |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3dT9swED8hkCZe0Nj46GDIk3gkNHGcOnmsKlC3CV4GUt8sO3akIkirphVv_An8zdw5H-u0AdIeY_vixHe-O9s_3wGcSrQZjs4M4yQrAiGMDIwt0sBqnRg0EVz7zHNX14PxrfgxSSYbMGrvwhCsstH9tU732rop6Tej2Z9Pp_1foSQOpxM6kBHoxdANdiEpi8H50xrMQ_jEyNQ4oNZt5CGP8XJ3C03hQqP4vI5b-Zp1es379Fbo8iPsNO4jG9ZfuAsbrvwEH66aA_LP8Dzq8gqyWcHQu2O2BtMhAZv_viVQUTVlR1nRdhmjCOAPhIyp2LRcK3_0O6fOsumDT2fEdGnXqgn-Plt0lfhKQyD3Jbt3VF_twe3lxc1oHDQpF4JcDPgy4Mbi-kJH1miexDy1mXGRs5mT1iSRRlbqVNhEZkmYF341VuRZGmmeuUFsIxnvw2Y5K90hsNxJbVFAaEElCh2b0MQp-RsWVziuSHvA26FWeROPnNJi3KsWeHanPH8U8UeFGcHvenDWEc3rcBxvNxctD1V70xR1o0Jz8TaZ_BeZq5r5XalIVVyF6i8Z7MGgo_xDjN_v8lsrYgonOJ3a6NLNVtiVSFBrSnTke3BQy1736-iO4fAK_uV_uz2CbXqq8TnHsLlcrNxX9LKW5sRPoxPYGn7_Ob5-AejBKP4 |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED-NIcFe0PjaCgyMxCNZE8euk0dUbSqw7oVN6ptlx47UaUurphVv_An8zdw5HxSxDYnXnK9ufOf7iH--A_ig0Gd4OjNMZV5GQlgVWVdmkTNGWnQR3ITOc9Pz0eRSfJnJ2Q6Mu7swBKtsbX9j04O1bp8M29UcLufz4bdYkYSzGR3ICIxiHsBDIbmiDOz4xxbOQ4TOyDQ6ouFd6aEA8vJXK0P1QpP0uClceZd7uiv8DG7odB-etPEj-9T8xaew46tn8GjanpA_h5_jvrEgW5QMwzvmGjQdMrDl72sCNZGpPcqGvpcxKgF-Q9CYms2rreffw6dT79j8JvQzYqZyW2TCvy9WPRF_0hLKfc2uPdHrF3B5enIxnkRtz4WoECO-jrh1mGCYxFnDZcozl1ufeJd75axMDMrSZMJJlcu4KEM6VhZ5lhie-1HqEpW-hN1qUflDYIVXxqGGUEYlSpPa2KYZBRwOUxxfZgPg3VLroi1ITn0xrnWHPLvSQT6a5KPjnPB3A_jYMy2behz3DxedDHV31RSNo0Z_cT-buo3N1-0Gr3Wia65j_ZcSDmDUc_6hx_-e8n2nYhp3OB3bmMovNjiVkGg2FUbyAzhodK9_dYzHcHkFf_W_076Dx5OL6Zk--3z-9TXsEaUB67yB3fVq448w5Frbt2FL_QKFaCqT |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+the+diagnostic+performances+of+diffusion+parameters+in+diffusion+weighted+imaging+and+diffusion+tensor+imaging+of+breast+lesions&rft.jtitle=European+journal+of+radiology&rft.au=Cakir%2C+Ozgur&rft.au=Arslan%2C+Arzu&rft.au=Inan%2C+Nagihan&rft.au=An%C4%B1k%2C+Yonca&rft.date=2013-12-01&rft.issn=0720-048X&rft.volume=82&rft.issue=12&rft.spage=e801&rft.epage=e806&rft_id=info:doi/10.1016%2Fj.ejrad.2013.09.001&rft.externalDBID=ECK1-s2.0-S0720048X13004774&rft.externalDocID=1_s2_0_S0720048X13004774 |
| thumbnail_m | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=https%3A%2F%2Fcdn.clinicalkey.com%2Fck-thumbnails%2F0720048X%2FS0720048X13X00117%2Fcov150h.gif |