Literature DB >> 27027614

Diffusion weighted imaging in gynecological malignancies - present and future.

Dinesh Manoharan1, Chandan J Das1, Ankita Aggarwal1, Arun K Gupta1.   

Abstract

The management of gynaecological malignancies has undergone a significant change in recent years with our improved understanding of cancer biogenetics, development of new treatment regimens and enhanced screening. Due to the rapid blooming of newer methods and techniques in gynaecology, surgery and oncology the scope and the role of imaging has also widened. Functional imaging in the form of diffusion weighted imaging (DWI) has been recently found to be very useful in assessing various tumours. Its ability to identify changes in the molecular level has dramatically changed the diagnostic approach of radiologists which was solely based on morphological criteria. It can improve the diagnostic accuracy of conventional magnetic resonance imaging, lend a hand in assessing tumour response to treatment regimens and detect tumour recurrence with better spatial resolution, negative radiation and diagnostic accuracy compared to positron emission tomography scan. The ability to quantify the diffusion has also lead to potential prediction of tumour aggressiveness and grade which directly correlate with the patient prognosis and management. Hence, it has become imperative for a radiologist to understand the concepts of DWI and its present and evolving role. In this article we present a brief description of the basics of DWI followed by its role in evaluation of female gynaecological malignancies.

Entities:  

Keywords:  Diffusion weighted imaging; Female pelvis; Gynaecology; Magnetic resonance imaging; Malignancy

Year:  2016        PMID: 27027614      PMCID: PMC4807338          DOI: 10.4329/wjr.v8.i3.288

Source DB:  PubMed          Journal:  World J Radiol        ISSN: 1949-8470


  51 in total

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3.  Comparison of DWI and PET/CT in evaluation of lymph node metastasis in uterine cancer.

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Journal:  World J Radiol       Date:  2012-05-28

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

Authors:  O Kilickesmez; S Bayramoglu; E Inci; T Cimilli; A Kayhan
Journal:  Acta Radiol       Date:  2009-04       Impact factor: 1.990

5.  Effect of screening on the risk estimates of socio demographic factors on cervical cancer - a large cohort study from rural India.

Authors:  Jissa Vinoda Thulaseedharan; Nea Malila; Matti Hakama; Pulikottil Okuru Esmy; Mary Cherian; Rajaraman Swaminathan; Richard Muwonge; Rengaswami Sankaranarayanan
Journal:  Asian Pac J Cancer Prev       Date:  2013

Review 6.  Imaging strategy for early ovarian cancer: characterization of adnexal masses with conventional and advanced imaging techniques.

Authors:  Pegah Mohaghegh; Andrea G Rockall
Journal:  Radiographics       Date:  2012-10       Impact factor: 5.333

7.  Diffusion-weighted magnetic resonance imaging of uterine cervical cancer.

Authors:  Ying Liu; Renju Bai; Haoran Sun; Haidong Liu; Dehua Wang
Journal:  J Comput Assist Tomogr       Date:  2009 Nov-Dec       Impact factor: 1.826

Review 8.  Pearls and pitfalls in MRI of gynecologic malignancy with diffusion-weighted technique.

Authors:  Stephanie Nougaret; Sree Harsha Tirumani; Helen Addley; Himanshu Pandey; Evis Sala; Caroline Reinhold
Journal:  AJR Am J Roentgenol       Date:  2013-02       Impact factor: 3.959

9.  Diffusion-weighted MRI in cervical cancer.

Authors:  Patrick Z McVeigh; Aejaz M Syed; Michael Milosevic; Anthony Fyles; Masoom A Haider
Journal:  Eur Radiol       Date:  2008-01-12       Impact factor: 5.315

10.  2-[Fluorine-18]-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography versus whole-body diffusion-weighted MRI for detection of malignant lesions: initial experience.

Authors:  Tsuyoshi Komori; Isamu Narabayashi; Kaname Matsumura; Mitsuru Matsuki; Hiroyuki Akagi; Yasuharu Ogura; Fumitoshi Aga; Itaru Adachi
Journal:  Ann Nucl Med       Date:  2007-06-25       Impact factor: 2.668

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  5 in total

1.  Targeting visualization of malignant tumor based on the alteration of DWI signal generated by hTERT promoter-driven AQP1 overexpression.

Authors:  Liang Zhang; Mingfu Gong; Sheng Lei; Chun Cui; Yun Liu; Shilin Xiao; Xun Kang; Tao Sun; Zhongsheng Xu; Chunyu Zhou; Si Zhang; Dong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-01-19       Impact factor: 10.057

Review 2.  Diffusion weighted imaging: Technique and applications.

Authors:  Vinit Baliyan; Chandan J Das; Raju Sharma; Arun Kumar Gupta
Journal:  World J Radiol       Date:  2016-09-28

3.  Qualitative and quantitative analysis of diffusion-weighted imaging of gestational trophoblastic disease: Can it predict progression of molar pregnancy to persistent form of disease?

Authors:  Sepideh Sefidbakht; Fatemeh Hosseini; Bijan Bijan; Bahareh Hamedi; Tayyebeh Azizi
Journal:  Eur J Radiol       Date:  2016-12-30       Impact factor: 3.528

4.  Diagnostic Accuracy of Calculated Tumor Volumes and Apparent Diffusion Coefficient Values in Predicting Endometrial Cancer Grade.

Authors:  Chandan Kakkar; Kamini Gupta; Kunal Jain; Vikram Narang; Aminder Singh; Kavita Saggar; Namita Bansal; Dania Cioni; Emanuele Neri
Journal:  Int J Appl Basic Med Res       Date:  2022-01-31

5.  Qualitative and quantitative comparison of image quality between single-shot echo-planar and interleaved multi-shot echo-planar diffusion-weighted imaging in female pelvis.

Authors:  He An; Xiaodong Ma; Ziyi Pan; Hua Guo; Elaine Yuen Phin Lee
Journal:  Eur Radiol       Date:  2019-12-10       Impact factor: 5.315

  5 in total

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