Literature DB >> 19235579

Quantitative diffusion-weighted magnetic resonance imaging of normal and diseased uterine zones.

O Kilickesmez1, S Bayramoglu, E Inci, T Cimilli, A Kayhan.   

Abstract

BACKGROUND: Magnetic resonance (MR) imaging has been established as the best imaging modality for the detection, localization, and staging of uterine cancers. Recently, the usefulness of diffusion-weighted imaging (DWI) in the diagnosis of cancers has been reported in several studies.
PURPOSE: To calculate the apparent diffusion coefficient (ADC) values of normal uterine zones as well as benign and malignant uterine diseases, and to determine a cut-off ADC value for the quantitative detection of uterine malignancies with DWI.
MATERIAL AND METHODS: Eighty-seven patients (mean age 53 years) with 107 benign and malignant uterine pathologies and 50 healthy controls (mean age 38 years) were enrolled in the study. DWI was performed with b factors of 0, 500, and 1000 s/mm(2).
RESULTS: The ADC values of benign and malignant lesions were compared using Student's t test. The mean and the standard deviation of the ADC values of the control group were as follows: myometrium 1.76+/-0.19 x 10(-3) mm(2)/s, junctional zone 0.99+/-0.18 x 10(-3) mm(2)/s, endometrium 1.65+/-0.33 x 10(-3) mm(2)/s, and cervix 1.71+/-0.17 x 10(-3) mm(2)/s. There was a statistically significant difference among the ADC values of normal myometrium and leiomyomas (1.47+/-0.36 x 10(-3) mm(2)/s; P<0.009), endometrium and endometrial carcinomas (0.86+/-0.13 x 10(-3) mm(2)/s; P<0.001), myometrium-junctional zone and adenomyosis (1.24+/-0.20 x 10(-3) mm(2)/s; P<0.001), and cervix and cervical carcinomas (0.91+/-0.14 x 10(-3) mm(2)/s; P<0.001). The ADC values differed significantly between malignant (0.88+/-0.11) and benign lesions (1.55+/-0.33; P<0.01). A cut-off value for malignant lesions of 1.05 x 10(-3) mm(2)/s yielded a sensitivity, specificity, and accuracy of 95.83%, 94.55%, and 94.94%, respectively.
CONCLUSION: The present study shows that ADC measurements have the potential to quantitatively differentiate between normal and cancerous tissues of the uterine zones. We propose adding DWI as an adjunct sequence in the MR protocol for the assessment of uterine lesions.

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Year:  2009        PMID: 19235579     DOI: 10.1080/02841850902735858

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  24 in total

1.  Diffusion-weighted and diffusion-tensor imaging of normal and diseased uterus.

Authors:  Duygu Kara Bozkurt; Murat Bozkurt; Mehmet Ali Nazli; Ilhan Nahit Mutlu; Ozgur Kilickesmez
Journal:  World J Radiol       Date:  2015-07-28

2.  Diffusion Tensor Imaging of the Uterine Zones Related to the Menstrual Cycle and Menopausal Status at 3 Tesla MRI.

Authors:  Özgür Kılıçkesmez; Zeynep Fırat; Ayşegül Oygen; Duygu Kara Bozkurt; Tevfik Güzelbey; Bengi Gürses; Neslihan Taşdelen
Journal:  Balkan Med J       Date:  2016-11-01       Impact factor: 2.021

3.  Diffusion-weighted MR imaging in gynecologic cancers.

Authors:  Shigenobu Motoshima; Hiroyuki Irie; Takahiko Nakazono; Toshiharu Kamura; Sho Kudo
Journal:  J Gynecol Oncol       Date:  2011-12-05       Impact factor: 4.401

Review 4.  Diagnostic performance of apparent diffusion coefficient (ADC) for differentiating endometrial carcinoma from benign lesions: a systematic review and meta-analysis.

Authors:  Yashar Moharamzad; Amir H Davarpanah; Ali Yaghobi Joybari; Fatemeh Shahbazi; Leila Esmaeilian Toosi; Melika Kooshkiforooshani; Ali Ansari; Morteza Sanei Taheri
Journal:  Abdom Radiol (NY)       Date:  2020-09-15

5.  Diffusion-weighted imaging in the assessment of tumour grade in endometrial cancer.

Authors:  N Bharwani; M E Miquel; A Sahdev; P Narayanan; G Malietzis; R H Reznek; A G Rockall
Journal:  Br J Radiol       Date:  2011-09-06       Impact factor: 3.039

Review 6.  Diffusion weighted imaging in gynecological malignancies - present and future.

Authors:  Dinesh Manoharan; Chandan J Das; Ankita Aggarwal; Arun K Gupta
Journal:  World J Radiol       Date:  2016-03-28

7.  Contribution of diffusion-weighted imaging to diagnosis and staging of cervical cancer.

Authors:  Tuna Demirbaş; Tan Cimilli; Sibel Bayramoğlu; Nurten Turan Güner; Elif Hocaoğlu; Ercan Inci
Journal:  Balkan Med J       Date:  2014-06-01       Impact factor: 2.021

8.  The value of apparent diffusion coefficient in the assessment of cervical cancer.

Authors:  Fei Kuang; Jing Ren; Qun Zhong; Fu Liyuan; Yi Huan; Ziqian Chen
Journal:  Eur Radiol       Date:  2012-11-18       Impact factor: 5.315

Review 9.  MR diffusion imaging for preoperative staging of myometrial invasion in patients with endometrial cancer: a systematic review and meta-analysis.

Authors:  Anita Andreano; Gilda Rechichi; Paola Rebora; Sandro Sironi; Maria Grazia Valsecchi; Stefania Galimberti
Journal:  Eur Radiol       Date:  2014-03-26       Impact factor: 5.315

Review 10.  Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology.

Authors:  Stephanie Nougaret; Mariana Horta; Evis Sala; Yulia Lakhman; Isabelle Thomassin-Naggara; Aki Kido; Gabriele Masselli; Nishat Bharwani; Elizabeth Sadowski; Andrea Ertmer; Milagros Otero-Garcia; Rahel A Kubik-Huch; Teresa M Cunha; Andrea Rockall; Rosemarie Forstner
Journal:  Eur Radiol       Date:  2018-07-11       Impact factor: 5.315

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