Usefulness of biopsy by office hysteroscopy for endometrial cancer: A case report

Sone, Kenbun; Eguchi, Shuichiro; Asada, Kenichi; Inoue, Futaba; Miyamoto, Yukio; Tsuruga, Tetsushi; Mori‐Uchino, Mayuyo; Matsumoto, Yōko; Hiraike‐Wada, Osamu; Oda, Katsutoshi; Osuga, Yutaka; Fujii, Tomoyuki

doi:10.3892/mco.2020.2053

Cited by 5 publications

(7 citation statements)

References 14 publications

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“…Office hysteroscopy has been reported as useful for diagnosing EC and sampling endometrial tissue. 13 Notable complications of diagnostic hysteroscopy for malignant lesions include the risk of dissemination. Some reports, including a meta-analysis of nine trials, showed that suspicious or positive peritoneal cytology at the time of surgery was associated with a history of hysteroscopy [14][15][16][17] ; however, several reports concluded that positive cytology after hysteroscopy did not affect the clinical stage or prognosis of patients with type I EC.…”

Section: Discussionmentioning

confidence: 99%

Characteristic hysteroscopy appearance considerations for detecting uterine endometrial malignancies

Matsumoto,

Yamaguchi,

Maruyama

et al. 2024

J of Obstet and Gynaecol

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AimThe effectiveness of hysteroscopy in diagnosing endometrial lesions has been demonstrated, showing high diagnostic accuracy for malignant endometrial lesions. Although the characteristic appearances of atypical and malignant endometria have been reported, they are not definitive and sometimes complicated. This study aimed to identify a small number of characteristic features to detect endometrial abnormalities using a simple judgment system and analyze the diagnostic characteristics and their accuracy in endometrial malignancy diagnosis.MethodsWe performed a retrospective analysis of hysteroscopy video data of 250 patients, of which we selected for analysis based on pathology examination 152 cases with benign changes, 16 with atypical endometrium, and 18 with carcinoma in situ or endometrial cancer. Endometrial characteristics assessed included protrusion, desquamation, extended vessel, atypical vessel, and white/yellow lesion.ResultsMultivariable analysis revealed that desquamation (p = 0.001, odds ratio [OR] 5.28), atypical vessels (p < 0.001, OR 8.50), and white/yellow lesions (p = 0.011, OR 1.37) were significant predictors for endometrial malignancy. From their contribution status, scoring points of 4, 6, and 1 were settled according to the odds ratio proportions. When scores ≥5 (at least both desquamation and white/yellow lesions or only atypical vessels) were used to define endometrial malignancy, sensitivity and specificity were 100% and 92%, respectively. When detecting cancer, atypical, and benign cases, sensitivity and specificity were 88% and 90%, respectively.ConclusionOur characteristics hysteroscopic findings showed a higher predictive ability in detecting endometrial malignancies. However, further examination with more cases would be needed to accurately diagnose endometrial malignancy by hysteroscopy.

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Section: Discussionmentioning

confidence: 99%

Characteristic hysteroscopy appearance considerations for detecting uterine endometrial malignancies

Matsumoto,

Yamaguchi,

Maruyama

et al. 2024

J of Obstet and Gynaecol

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“…While gastrointestinal endoscopy is commonly used in the diagnosis of gastric and colorectal cancers, in general, hysteroscopy is seldom used in the diagnosis of endometrial cancer. However, our previous study [ 8 ] demonstrates the usefulness of hysteroscopy in the diagnosis of endometrial cancer. Therefore, if a hysteroscopy-based automated system employing deep-learning models is established for clinical diagnosis of endometrial cancer, an increase in the use of hysteroscopes, can be expected as well.…”

Section: Discussionmentioning

confidence: 99%

“…It is noteworthy that recent studies have suggested that hysteroscopy can be considered an effective technique for accurate endometrial-cancer diagnosis [ 6 , 7 ]. We have previously reported the usefulness of biopsy through office hysteroscopy with regard to endometrial cancer [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy

Takahashi

Sone

Katsuhiko³

et al. 2021

PLoS ONE

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Endometrial cancer is a ubiquitous gynecological disease with increasing global incidence. Therefore, despite the lack of an established screening technique to date, early diagnosis of endometrial cancer assumes critical importance. This paper presents an artificial-intelligence-based system to detect the regions affected by endometrial cancer automatically from hysteroscopic images. In this study, 177 patients (60 with normal endometrium, 21 with uterine myoma, 60 with endometrial polyp, 15 with atypical endometrial hyperplasia, and 21 with endometrial cancer) with a history of hysteroscopy were recruited. Machine-learning techniques based on three popular deep neural network models were employed, and a continuity-analysis method was developed to enhance the accuracy of cancer diagnosis. Finally, we investigated if the accuracy could be improved by combining all the trained models. The results reveal that the diagnosis accuracy was approximately 80% (78.91–80.93%) when using the standard method, and it increased to 89% (83.94–89.13%) and exceeded 90% (i.e., 90.29%) when employing the proposed continuity analysis and combining the three neural networks, respectively. The corresponding sensitivity and specificity equaled 91.66% and 89.36%, respectively. These findings demonstrate the proposed method to be sufficient to facilitate timely diagnosis of endometrial cancer in the near future.

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“…To date, the gold standard diagnostic tools for EC are surgical resection or the analysis of biopsy specimens [ 52 , 53 ]. However, false negatives caused by sampling errors can occasionally occur.…”

Section: Mechanisms Of Carcinogenesis and Cancer Progression Involmentioning

confidence: 99%

Targeting Epigenetic Regulators for Endometrial Cancer Therapy: Its Molecular Biology and Potential Clinical Applications

Inoue¹,

Sone²,

Toyohara³

et al. 2021

IJMS

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Endometrial cancer is one of the most frequently diagnosed gynecological malignancies worldwide. However, its prognosis in advanced stages is poor, and there are only few available treatment options when it recurs. Epigenetic changes in gene function, such as DNA methylation, histone modification, and non-coding RNA, have been studied for the last two decades. Epigenetic dysregulation is often reported in the development and progression of various cancers. Recently, epigenetic changes in endometrial cancer have also been discussed. In this review, we give the main points of the role of DNA methylation and histone modification in endometrial cancer, the diagnostic tools to determine these modifications, and inhibitors targeting epigenetic regulators that are currently in preclinical studies and clinical trials.

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Usefulness of biopsy by office hysteroscopy for endometrial cancer: A case report

Cited by 5 publications

References 14 publications

Characteristic hysteroscopy appearance considerations for detecting uterine endometrial malignancies

Characteristic hysteroscopy appearance considerations for detecting uterine endometrial malignancies

Automated system for diagnosing endometrial cancer by adopting deep-learning technology in hysteroscopy

Targeting Epigenetic Regulators for Endometrial Cancer Therapy: Its Molecular Biology and Potential Clinical Applications

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