Magnetic Resonance Imaging Grading System for Preoperative ...

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Diagnosis of Leiomyomas and Uterine Smooth Muscle Tumors ... leiomyomas including smooth muscle tumors of uncertain malignant potential (STUMPs).
Accepted Manuscript Title: Magnetic Resonance Imaging Grading System for Preoperative Diagnosis of Leiomyomas and Uterine Smooth Muscle Tumors Author: Yukio Suzuki, Shinichiro Wada, Ayako Nakajima, Yoshiyuki Fukushi, Masaru Hayashi, Takuma Matsuda, Ryoko Asano, Yasuo Sakurai, Hiroko Noguchi, Toshiya Shinohara, Chikara Sato, Takafumi Fujino PII: DOI: Reference:

S1553-4650(17)31251-7 https://doi.org/doi:10.1016/j.jmig.2017.08.660 JMIG 3313

To appear in:

The Journal of Minimally Invasive Gynecology

Received date: Revised date: Accepted date:

5-7-2017 16-8-2017 21-8-2017

Please cite this article as: Yukio Suzuki, Shinichiro Wada, Ayako Nakajima, Yoshiyuki Fukushi, Masaru Hayashi, Takuma Matsuda, Ryoko Asano, Yasuo Sakurai, Hiroko Noguchi, Toshiya Shinohara, Chikara Sato, Takafumi Fujino, Magnetic Resonance Imaging Grading System for Preoperative Diagnosis of Leiomyomas and Uterine Smooth Muscle Tumors, The Journal of Minimally Invasive Gynecology (2017), https://doi.org/doi:10.1016/j.jmig.2017.08.660. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Original Article

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Magnetic Resonance Imaging Grading System for Preoperative Diagnosis of

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Leiomyomas and Uterine Smooth Muscle Tumors

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Yukio Suzuki, MD, Shinichiro Wada, MD, PhD, Ayako Nakajima, MD, PhD,

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Yoshiyuki Fukushi, MD, PhD, Masaru Hayashi, MD, PhD, Takuma Matsuda, MD, PhD,

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Ryoko Asano, MD, PhD, Yasuo Sakurai, MD, PhD, Hiroko Noguchi, MD, PhD, Toshiya

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Shinohara, MD, PhD, Chikara Sato, MD, PhD, Takafumi Fujino, MD, PhD

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From the Departments of Obstetrics and Gynecology (Drs. Suzuki, Wada, Nakajima,

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Fukushi, Hayashi, Matsuda, Sato and Fujino), Department of Radiology (Dr. Sakurai), and

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Department of Pathology (Drs. Noguchi and Shinohara), Teine Keijinkai Hospital, Sapporo,

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Japan, and the Department of Obstetrics and Gynecology, Yokohama City University,

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Yokohama, Japan (Drs. Suzuki and Asano).

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Corresponding author: Yukio Suzuki, MD, 3-9 Fukuura, Kanazawa-ku, Yokohama

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236-0004, Kanagawa, Japan. E-mail: [email protected]

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The authors state that there are no conflicts of interest.

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Precis: Magnetic resonance image grading discriminates between benign fibroids and

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smooth muscle tumors of uncertain malignant potential s or variant leiomyoma types and

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may be effective for assessing uterine fibroids prior to laparoscopic surgery.

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Page 1 of 38

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Abstract

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Study Objective: To evaluate a new magnetic resonance imaging (MRI) grading system

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for preoperative differentiation between benign and variant-type uterine leiomyomas

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including smooth muscle tumors of uncertain malignant potential (STUMPs).

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Design: Retrospective analysis (Canadian Task Force classification III).

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Setting: Teaching hospital (Teine Keijinkai Hospital).

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Patients: Three-hundred and thirteen patient medical records were retrospectively

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reviewed if treated for uterine fibroids and diagnosed with variant type leiomyomas or

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STUMPs (n = 27) or benign, typical leiomyomas (n = 286) and treated between January

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2012 and December 2014.

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Intervention: Uterine fibroid classifications using MRI findings according to a 5-grade

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system (grades I to V) based on three elements.

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Measurements and Main Results: Uterine fibroid MRI classifications were based on

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three elements: T2-weighted imaging (high or low), diffusion-weighted imaging (high or

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low), and apparent diffusion coefficient values (high or low; apparent diffusion coefficient