Literature DB >> 32935258

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

Yashar Moharamzad1, Amir H Davarpanah2, Ali Yaghobi Joybari1, Fatemeh Shahbazi1, Leila Esmaeilian Toosi3, Melika Kooshkiforooshani3, Ali Ansari4, Morteza Sanei Taheri5,6.   

Abstract

To determine the diagnostic performance of mean ADC values in the characterization of endometrial carcinoma (EC) from benign lesions by systematic review of the literature and performing meta-analysis. A systematic search of major electronic bibliographic databases was performed to find studies that used ADC values for differentiating EC from benign lesions. Two reviewers independently screened the titles and abstracts of the search results and then by reading the full texts selected the pertinent studies for final analyses. A bivariate random-effects model with pooled sensitivity and specificity values with 95% CI (confidence interval) was used. Summary receiver operating characteristic (SROC) curve and area under curve (AUC) were created. Between-study heterogeneity was measured using I squared (I2) index. Eleven studies including 269 ECs and 208 benign lesions were analyzed. Pooled average (95% CI) ADC in EC and benign lesions groups were, respectively, 0.82 (0.77-0.87) × 10-3 mm2/s and 1.41 (1.29-1.52) × 10-3 mm2/s. The combined (95% CI) sensitivity and specificity of mean ADC values for differentiating EC from benign lesions were 93% (87-96%; I2 = 41.19%) and 94% (88-97%; I2 = 46.91%), respectively. The AUC (95% CI) of the SROC curve was 98% (96-99%). ADC values had good diagnostic accuracy for differentiating EC from benign lesions. In order to recommend ADC measurement for detecting endometrial lesions in routine clinical practice, more primary studies, especially trials and comparative studies including hysteroscopically-guided biopsy method, with larger sample sizes are still required.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Endometrial neoplasms; Meta-analysis; Sensitivity and specificity

Mesh:

Year:  2020        PMID: 32935258     DOI: 10.1007/s00261-020-02734-w

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  46 in total

1.  Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis.

Authors:  Guohua Shen; Zhiyun Jia; Houfu Deng
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

Review 2.  The epidemiology of endometrial and ovarian cancer.

Authors:  Daniel W Cramer
Journal:  Hematol Oncol Clin North Am       Date:  2011-11-25       Impact factor: 3.722

3.  Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases.

Authors:  Ionut Caravan; Cristiana Augusta Ciortea; Alexandra Contis; Andrei Lebovici
Journal:  Acta Radiol       Date:  2017-08-23       Impact factor: 1.990

4.  Evaluation of depth of myometrial invasion and overall staging in endometrial cancer: comparison of diffusion-weighted and dynamic contrast-enhanced MR imaging.

Authors:  Peter Beddy; Penelope Moyle; Masako Kataoka; Adam K Yamamoto; Ilse Joubert; David Lomas; Robin Crawford; Evis Sala
Journal:  Radiology       Date:  2011-11-23       Impact factor: 11.105

Review 5.  Endometrial cancer: magnetic resonance imaging.

Authors:  R Manfredi; B Gui; G Maresca; F Fanfani; L Bonomo
Journal:  Abdom Imaging       Date:  2005 Sep-Oct

Review 6.  DWI for Renal Mass Characterization: Systematic Review and Meta-Analysis of Diagnostic Test Performance.

Authors:  Stella K Kang; Angela Zhang; Pari V Pandharipande; Hersh Chandarana; R Scott Braithwaite; Benjamin Littenberg
Journal:  AJR Am J Roentgenol       Date:  2015-08       Impact factor: 3.959

Review 7.  Whole-body diffusion-weighted and proton imaging: a review of this emerging technology for monitoring metastatic cancer.

Authors:  Michael A Jacobs; Li Pan; Katarzyna J Macura
Journal:  Semin Roentgenol       Date:  2009-04       Impact factor: 0.800

8.  Apparent diffusion coefficient of breast cancer and normal fibroglandular tissue in diffusion-weighted imaging: the effects of menstrual cycle and menopausal status.

Authors:  Jin You Kim; Hie Bum Suh; Hyun Jung Kang; Jong Ki Shin; Ki Seok Choo; Kyung Jin Nam; Seok Won Lee; Young Lae Jung; Young Tae Bae
Journal:  Breast Cancer Res Treat       Date:  2016-04-18       Impact factor: 4.872

9.  Apparent diffusion coefficient measurements in the differentiation between benign and malignant lesions: a systematic review.

Authors:  M A Vermoolen; T C Kwee; R A J Nievelstein
Journal:  Insights Imaging       Date:  2012-06-07

10.  Endometrial sampling in low-risk patients with abnormal uterine bleeding: a systematic review and meta-synthesis.

Authors:  Brenda F Narice; Brigitte Delaney; Jon M Dickson
Journal:  BMC Fam Pract       Date:  2018-07-30       Impact factor: 2.497

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  5 in total

1.  Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia.

Authors:  Jieying Zhang; Qi Zhang; Tingting Wang; Yan Song; Xiaoduo Yu; Lizhi Xie; Yan Chen; Han Ouyang
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

2.  Dynamic Three-Dimensional ADC Changes of Parotid Glands During Radiotherapy Predict the Salivary Secretary Function in Patients With Head and Neck Squamous Carcinoma.

Authors:  Mei Feng; Qingping Yin; Jing Ren; Fei Wu; Mei Lan; He Wang; Min Wang; Lu Li; Xiaojian Chen; Jinyi Lang
Journal:  Front Oncol       Date:  2021-04-13       Impact factor: 6.244

3.  MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis.

Authors:  Kaiyue Zhang; Yu Zhang; Xin Fang; Jiangning Dong; Liting Qian
Journal:  BMC Cancer       Date:  2021-11-24       Impact factor: 4.430

4.  An Extended Approach to Predict Retinopathy in Diabetic Patients Using the Genetic Algorithm and Fuzzy C-Means.

Authors:  Saeid Jafarzadeh Ghoushchi; Ramin Ranjbarzadeh; Amir Hussein Dadkhah; Yaghoub Pourasad; Malika Bendechache
Journal:  Biomed Res Int       Date:  2021-06-26       Impact factor: 3.411

Review 5.  Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT.

Authors:  Madeleine Sertic; Aoife Kilcoyne; Onofrio Antonio Catalano; Susanna I Lee
Journal:  Abdom Radiol (NY)       Date:  2021-07-23
  5 in total

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