Publications by authors named "Chiho Miyagawa"

Article Synopsis
  • This study developed an AI-based algorithm to classify four subtypes of high-grade serous carcinoma (HGSC) with better accuracy than human assessors, using deep learning techniques on images from cancer datasets.
  • The algorithm achieved high mean accuracies of 0.933, 0.910, and 0.862 across three different cohorts (TCGA, JGOG3022A1, and Kindai/Kyoto), demonstrating its reliability in subtype classification.
  • An analysis of survival rates indicated that the mesenchymal transition (MT) group had a worse prognosis compared to non-MT, confirming the importance of AI in predicting clinical outcomes alongside traditional factors like stage and age.
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Article Synopsis
  • * The study created two convolutional neural network models to effectively detect and assess the location and density of TILs, revealing that higher intraepithelial TIL densities correlate with better patient survival outcomes.
  • * Patients were grouped into three immunophenotypes based on TIL density, with the "immune-desert" group showing the poorest prognosis, highlighting the potential for using TIL assessments in personalized ovarian cancer treatments.
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According to the revision of the FIGO 2018 staging system, cervical cancer with pelvic lymph node metastases was changed to stage IIIC1. We retrospectively analyzed the prognosis and complications of locally resectable (classified as T1/T2 by TNM classification of the Union for International Cancer Control) stage IIIC1 cervical cancer. A total of 43 patients were divided into three groups: surgery with chemotherapy (CT) (ope+CT group) (T1; n = 7, T2; n = 16), surgery followed by concurrent chemoradiotherapy (CCRT), or radiotherapy (RT) (ope+RT group) (T1; n = 5, T2; n = 9), and CCRT or RT alone (RT group) (T1; n = 0, T2; n = 6).

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Objective: We have established 4 histopathologic subtyping of high-grade serous ovarian cancer (HGSOC) and reported that the mesenchymal transition (MT) type has a worse prognosis than the other subtypes. In this study, we modified the histopathologic subtyping algorithm to achieve high interobserver agreement in whole slide imaging (WSI) and to characterize the tumor biology of MT type for treatment individualization.

Methods: Four observers performed histopathological subtyping using WSI of HGSOC in The Cancer Genome Atlas data.

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Background: Historically, hysterectomy has been the radical treatment for adenomyosis. Although, some patients may not want to have their uterus removed, patients often have to no choice but to request hysterectomy during conservative treatment. The factors necessitating these hysterectomies remain unknown.

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Recent studies have reported cancer-associated mutations in normal endometrium. Mutations in eutopic endometrium may lead to endometriosis and endometriosis-associated ovarian cancer. We investigated PIK3CA mutations (PIK3CAm) for three hotspots (E542K, E545K, H1047R) in eutopic endometrium in patients with ovarian cancer and endometriosis from formalin-fixed paraffin-embedded specimens by laser-capture microdissection and droplet digital PCR.

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Background: Extragonadal endometriosis is a rare condition, and its disease manifestation and long-term prognosis have not been elucidated. We report an extragonadal endometriosis case controlled by drug therapy for 14 years with analysis of the sex hormone receptor expression and PIK3CA mutation.

Case Presentation: The patient was diagnosed with bladder endometriosis at age of 30 years, and underwent bilateral nephrostomy and GnRHa therapy with add-back therapy.

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Recently, several malignant peritoneal mesotheliomas (MPMs), occurring in young women without asbestos exposure and with fusion genes such as anaplastic lymphoma kinase (ALK) and Ewing sarcoma breakpoint region 1, have been reported. In the present case, we encountered MPM with STRN-ALK fusion in a 17-year-old female adolescent. The case did not respond to chemotherapy and is currently in a clinical trial of alectinib.

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MRI plays an essential role in patients before treatment for uterine mesenchymal malignancies. Although MRI includes methods such as diffusion-weighted imaging and dynamic contrast-enhanced MRI, the differentiation between uterine myoma and sarcoma always becomes problematic. The present paper discusses important findings to ensure that sarcomas are not overlooked in magnetic resonance (MR) images, and we describe the update in the differentiation between uterine leiomyoma and sarcoma with recent reports.

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Background: A case of peritoneal mesothelioma with an anaplastic lymphoma kinase (ALK) translocation was identified, and we conducted further studies to obtain diagnostic and therapeutic insights. We believe that this is the first report describing the cytology of this new tumor type.

Case: A teenage woman was referred for severe pleural effusion.

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