Literature DB >> 23604800

Diffusion-weighted magnetic resonance imaging evaluation of intra-abdominal sites of implants to predict likelihood of suboptimal cytoreductive surgery in patients with ovarian carcinoma.

Mercedes Espada1, Jose R Garcia-Flores, Mar Jimenez, Elena Alvarez-Moreno, Mar De Haro, Lucia Gonzalez-Cortijo, Gines Hernandez-Cortes, Vicente Martinez-Vega, Ricardo Sainz De La Cuesta.   

Abstract

OBJECTIVES: To analyse the diagnostic accuracy and to establish a predictive score based on diffusion-weighted magnetic resonance imaging (DWMRI) compared to exploratory laparotomy (EL) for predicting suboptimal cytoreductive surgery for different intra-abdominal sites of implants in patients with ovarian cancer.
METHODS: Thirty-four patients with advanced ovarian carcinoma were studied. Preoperative DWMRI of the abdomen and pelvis was performed. DWMRI findings were compared with EL. Ten anatomical sites were selected for inclusion in the score. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy for suboptimal cytoreduction were calculated for both DWMRI and EL. Receiver operating characteristic (ROC) curve analysis was used to assess the ability to predict suboptimal cytoreduction.
RESULTS: Using predictive score, ROC curves were generated with an area under the curve of 0.938 for DWMRI and 0.947 for EL (P < 0.0001). For DWMRI, a score ≥6 had the highest overall accuracy at 91.1 % and identified patients with unnecessary EL with a sensitivity of 75 %. For EL, a score ≥4 had the highest overall accuracy at 88.2 % and was able to identify patients with unnecessary EL with a sensitivity of 87.5 %.
CONCLUSIONS: DWMRI is an emerging technique that may be useful to predict suboptimal cytoreduction in ovarian cancer. KEY POINTS: • DWMRI is increasingly used in ovarian cancer. • DWMRI is an accurate technique for depicting intra-abdominal sites of implants • DWMRI is useful for predicting optimal cytoreductive surgical outcome. • We report a high predictive value similar to exploratory laparotomy.

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Year:  2013        PMID: 23604800     DOI: 10.1007/s00330-013-2837-7

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  25 in total

1.  Diagnostic open laparoscopy in the management of advanced ovarian cancer.

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Journal:  Gynecol Oncol       Date:  2005-12-01       Impact factor: 5.482

2.  Prospective validation of a laparoscopic predictive model for optimal cytoreduction in advanced ovarian carcinoma.

Authors:  Anna Fagotti; Gabriella Ferrandina; Francesco Fanfani; Giorgia Garganese; Giuseppe Vizzielli; Vito Carone; Maria Giovanna Salerno; Giovanni Scambia
Journal:  Am J Obstet Gynecol       Date:  2008-09-17       Impact factor: 8.661

3.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
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4.  Cytoreductive surgery in ovarian carcinoma: feasibility and morbidity.

Authors:  A P Heintz; N F Hacker; J S Berek; T P Rose; A K Munoz; L D Lagasse
Journal:  Obstet Gynecol       Date:  1986-06       Impact factor: 7.661

5.  A model for predicting surgical outcome in patients with advanced ovarian carcinoma using computed tomography.

Authors:  R E Bristow; L R Duska; N C Lambrou; E K Fishman; M J O'Neill; E L Trimble; F J Montz
Journal:  Cancer       Date:  2000-10-01       Impact factor: 6.860

6.  Neoadjuvant chemotherapy lessens surgical morbidity in advanced ovarian cancer and leads to improved survival in stage IV disease.

Authors:  June Y Hou; Michael G Kelly; Herbert Yu; Jessica N McAlpine; Masoud Azodi; Thomas J Rutherford; Peter E Schwartz
Journal:  Gynecol Oncol       Date:  2007-01-18       Impact factor: 5.482

Review 7.  CT of epithelial ovarian tumors.

Authors:  S Kawamoto; B A Urban; E K Fishman
Journal:  Radiographics       Date:  1999-10       Impact factor: 5.333

8.  A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.

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Authors:  J E Hamrick-Turner; M V Chiechi; P L Abbitt; P R Ros
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Review 10.  Role of diffusion-weighted imaging in the diagnosis of gynecological diseases.

Authors:  Tomohiro Namimoto; Kazuo Awai; Takeshi Nakaura; Yumi Yanaga; Toshinori Hirai; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2008-10-07       Impact factor: 5.315

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  18 in total

Review 1.  Preoperative and surveillance MR imaging of patients undergoing cytoreductive surgery and heated intraperitoneal chemotherapy.

Authors:  Russell N Low
Journal:  J Gastrointest Oncol       Date:  2016-02

2.  Whole-body diffusion-weighted magnetic resonance imaging in the diagnosis of recurrent ovarian cancer: a clinical feasibility study.

Authors:  Katrijn L M Michielsen; Ignace Vergote; Raphaëla Dresen; Katya Op de Beeck; Ragna Vanslembrouck; Frédéric Amant; Karin Leunen; Philippe Moerman; Steffen Fieuws; Frederik De Keyzer; Vincent Vandecaveye
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

Review 3.  Selecting the best strategy of treatment in newly diagnosed advanced-stage ovarian cancer patients.

Authors:  Lucas Minig; Cristina Zorrero; Pablo Padilla Iserte; Andres Poveda
Journal:  World J Methodol       Date:  2015-12-26

4.  Accuracy of CT Scan in Predicting the Surgical PCI in Patients Undergoing Cytoreductive Surgery with/without HIPEC-a Prospective Single Institution Study.

Authors:  Gaurav Goswami; Praveen Kammar; Ramesh Mangal; Sakina Shaikh; Mahesh D Patel; Aditi Bhatt
Journal:  Indian J Surg Oncol       Date:  2019-03-28

Review 5.  Prediction of optimal debulking surgery in ovarian cancer.

Authors:  Yong Jung Song
Journal:  Gland Surg       Date:  2021-03

6.  Feasibility of whole-body diffusion-weighted MRI for detection of primary tumour, nodal and distant metastases in women with cancer during pregnancy: a pilot study.

Authors:  Sileny N Han; Frédéric Amant; Katrijn Michielsen; Frederik De Keyzer; Steffen Fieuws; Kristel Van Calsteren; Raphaëla C Dresen; Mina Mhallem Gziri; Vincent Vandecaveye
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

7.  Whole-body MRI with diffusion-weighted sequence for staging of patients with suspected ovarian cancer: a clinical feasibility study in comparison to CT and FDG-PET/CT.

Authors:  Katrijn Michielsen; Ignace Vergote; Katya Op de Beeck; Frederic Amant; Karin Leunen; Philippe Moerman; Christophe Deroose; Geert Souverijns; Steven Dymarkowski; Frederik De Keyzer; Vincent Vandecaveye
Journal:  Eur Radiol       Date:  2013-12-11       Impact factor: 5.315

8.  Role of diffusion-weighted magnetic resonance imaging in differentiating malignancies from benign ovarian tumors.

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9.  Diffusion weighted imaging for the differential diagnosis of benign vs. malignant ovarian neoplasms.

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Journal:  Oncol Lett       Date:  2016-04-18       Impact factor: 2.967

Review 10.  ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors.

Authors:  Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou
Journal:  Int J Gynecol Cancer       Date:  2021-06-10       Impact factor: 3.437

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