Tomoka Maehana

No ORCID on file · 6 papers in corpus · active 2019-2024

Study types

  • article 4
  • other 2

Condition tags

  • endometrioma 6
  • endometriosis 5
other 2024
Endogenous Microbacteria Can Contribute to Ovarian Carcinogenesis by Reducing Iron Concentration in Cysts: A Pilot Study
Microorganisms ·doi:10.3390/microorganisms12030538

Among epithelial ovarian cancer, clear cell carcinoma is common for chemo-resistance and high mortality. This cancer arises from benign ovarian endometrioma (OE), which is a high oxidative stress environment due to the cystic retention of m…

other 2024
MR Relaxometry for Discriminating Malignant Ovarian Cystic Tumors: A Prospective Multicenter Cohort Study
Diagnostics ·doi:10.3390/diagnostics14111069

BACKGROUND: Endometriosis-associated ovarian cancer (EAOC) is a well-known type of cancer that arises from ovarian endometrioma (OE). OE contains iron-rich fluid in its cysts due to repeated hemorrhages in the ovaries. However, distinguishi…

article 2022
The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy
Diagnostics ·doi:10.3390/diagnostics12051212

This study aimed to evaluate the prediction efficacy of malignant transformation of ovarian endometrioma (OE) using the Copenhagen Index (CPH-I), the risk of ovarian malignancy algorithm (ROMA), and the R2 predictive index. This retrospecti…

article 2022
The Endometriotic Neoplasm Algorithm for Risk Assessment (e-NARA) Index Sheds Light on the Discrimination of Endometriosis-Associated Ovarian Cancer from Ovarian Endometrioma
Biomedicines ·doi:10.3390/biomedicines10112683

BACKGROUND: Magnetic resonance (MR) relaxometry provides a noninvasive tool to discriminate endometriosis-associated ovarian cancer (EAOC) from ovarian endometrioma (OE) with high accuracy. However, this method has a limitation in discrimin…

article 2019
A diagnostic challenge of seromucinous borderline tumor
Medicine ·doi:10.1097/md.0000000000015707

INTRODUCTION: Magnetic resonance (MR) relaxometry provides a noninvasive predictive tool to discriminate between benign ovarian endometrioma (OE) and endometriosis-associated ovarian cancer (EAOC). Transverse relaxation rate R2 value was de…

article 2019
Magnetic resonance relaxometry improves the accuracy of conventional MRI in the diagnosis of endometriosis‑associated ovarian cancer: A case report
Molecular and clinical oncology ·doi:10.3892/mco.2019.1889

Endometriosis is a precancerous condition for endometriosis‑associated ovarian cancer (EAOC). In the present study, conventional magnetic resonance imaging (MRI) and MR relaxometry were used to examine a case of clear cell carcinoma that ar…