Publications by authors named "Riku Togawa"

The pretherapeutic assessment of axillary lymph node status is crucial in staging early breast cancer patients, significantly influencing their further treatment and prognosis. According to current guidelines, patients with clinically unsuspicious axillary status regularly undergo a biopsy of sentinel lymph nodes (SLNs), whereby metastasis is detected in up to 20% of cases. In recent years, the use of shear wave elastography (SWE) has been studied as an additional ultrasound tool for the non-invasive assessment of tumors in the breast parenchyma and axillary lymph nodes.

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Article Synopsis
  • Preoperative evaluation of axillary lymph nodes is important for determining treatment options in early breast cancer, and this study explored the effectiveness of shear wave elastography (SWE) for staging these lymph nodes.
  • The research involved 100 patients, measuring the stiffness of axillary lymph nodes with SWE, and established a cutoff velocity of 2.66 m/s to differentiate between malignant and benign nodes with notable sensitivity and specificity.
  • The findings suggest that SWE can enhance the assessment of suspicious axillary lymph nodes, providing a valuable tool for improving biopsy decisions and treatment planning in breast cancer patients.
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Objectives: Patients with triple-negative breast cancer (TNBC) exhibit a fast tumor growth rate and poor survival outcomes. In this study, we aimed to develop and compare intelligent algorithms using ultrasound radiomics features in addition to clinical variables to identify patients with TNBC prior to histopathologic diagnosis.

Methods: We used single-center, retrospective data of patients who underwent ultrasound before histopathologic verification and subsequent neoadjuvant systemic treatment (NAST).

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Objectives: Shear wave elastography (SWE) is increasingly used in breast cancer diagnostics. However, large, prospective, multicenter data evaluating the reliability of SWE is missing. We evaluated the intra- and interobserver reliability of SWE in patients with breast lesions categorized as BIRADS 3 or 4.

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Objectives: Response assessment to neoadjuvant systemic treatment (NAST) to guide individualized treatment in breast cancer is a clinical research priority. We aimed to develop an intelligent algorithm using multi-modal pretreatment ultrasound and tomosynthesis radiomics features in addition to clinical variables to predict pathologic complete response (pCR) prior to the initiation of therapy.

Methods: We used retrospective data on patients who underwent ultrasound and tomosynthesis before starting NAST.

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Purpose: A previous study in our breast unit showed that the diagnostic accuracy of intraoperative specimen radiography and its potential to reduce second surgeries in a cohort of patients treated with neoadjuvant chemotherapy were low, which questions the routine use of Conventional specimen radiography (CSR) in this patient group. This is a follow-up study in a larger cohort to further evaluate these findings.

Methods: This retrospective study included 376 cases receiving breast-conserving surgery (BCS) after neoadjuvant chemotherapy (NACT) of primary breast cancer.

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Purpose: The Histolog® Scanner (SamanTree Medical SA, Lausanne, Switzerland) is a large field-of-view confocal laser scanning microscope designed to allow intraoperative margin assessment by the production of histological images ready for assessment in the operating room. We evaluated the feasibility and the performance of the Histolog® Scanner (HS) to correctly identify infiltrated margins in clinical practice of lumpectomy specimens. It was extrapolated if the utilization of the HS has the potential to reduce infiltrated margins and therefore reduce re-operation rates in patients undergoing breast conserving surgery (BCS) due to a primarily diagnosed breast cancer including ductal carcinoma in situ.

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Objectives: We evaluated whether lesion-to-fat ratio measured by shear wave elastography in patients with Breast Imaging Reporting and Data System (BI-RADS) 3 or 4 lesions has the potential to further refine the assessment of B-mode ultrasound alone in breast cancer diagnostics.

Methods: This was a secondary analysis of an international diagnostic multicenter trial (NCT02638935). Data from 1288 women with breast lesions categorized as BI-RADS 3 and 4a-c by conventional B-mode ultrasound were analyzed, whereby the focus was placed on differentiating lesions categorized as BI-RADS 3 and BI-RADS 4a.

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Purpose: Today, the decision to treat patients with chemotherapy for early breast cancer (EBC) is made based on the patient's individual risk stratification and tumor biology. In cases with chemotherapy indication, the neoadjuvant application (NACT) is the preferred option in comparison with primary surgery and adjuvant chemotherapy (ACT). Age remains a relevant factor in the decision-making process.

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Background: Breast ultrasound identifies additional carcinomas not detected in mammography but has a higher rate of false-positive findings. We evaluated whether use of intelligent multi-modal shear wave elastography (SWE) can reduce the number of unnecessary biopsies without impairing the breast cancer detection rate.

Methods: We trained, tested, and validated machine learning algorithms using SWE, clinical, and patient information to classify breast masses.

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Article Synopsis
  • The study aimed to establish reference values for shear wave elastography (SWE) in unsuspicious axillary lymph nodes among breast ultrasound patients.
  • A total of 177 axillary lymph nodes were examined to measure tissue stiffness in fatty tissue, lymph node cortex, and hilus, showing that lymph node structures were significantly stiffer than surrounding fatty tissue.
  • The results indicated that SWE is a reliable method for assessing lymph node stiffness, which could aid in identifying metastasis in breast cancer by integrating these stiffness measurements with other lymph node characteristics.
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  • AI algorithms for medical image analysis showed they can perform as well as human readers in breast cancer diagnosis but need to incorporate multiple data sources for better accuracy.
  • * In a study with 1288 women, both human experts and AI using ultrasound data alone had similar success rates in diagnosing breast masses.
  • * However, when integrating additional clinical and demographic information, AI algorithms performed better, yet both still lagged behind traditional routine diagnosis methods.
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Background: Shear wave elastography (SWE) and strain elastography (SE) have shown promising potential in breast cancer diagnostics by evaluating the stiffness of a lesion. Combining these two techniques could further improve the diagnostic performance. We aimed to exploratorily define the cut-offs at which adding combined SWE and SE to B-mode breast ultrasound could help reclassify Breast Imaging Reporting and Data System (BI-RADS) 3-4 lesions to reduce the number of unnecessary breast biopsies.

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  • This study looked at how effective a specific type of X-ray (called specimen radiography) is during breast cancer surgery to find leftover cancer cells.
  • They checked 174 patients who had surgery after chemotherapy and found that the X-ray only correctly identified some of the problem areas.
  • The study concluded that this X-ray method is not very reliable for catching leftover cancer, and it doesn't greatly reduce the need for more surgeries.
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Objectives: The BI-RADS classification provides a standardized way to describe ultrasound findings in breast cancer diagnostics. However, there is little information regarding which BI-RADS descriptors are most strongly associated with malignancy, to better distinguish BI-RADS 3 (follow-up imaging) and 4 (diagnostic biopsy) breast masses.

Methods: Patients were recruited as part of an international, multicenter trial (NCT02638935).

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Objective: The FUSION-X-US-II prototype was developed to combine 3D automated breast ultrasound (ABUS) and digital breast tomosynthesis in a single device. We evaluated the performance of ABUS and tomosynthesis in a single examination in a clinical setting.

Methods: In this prospective feasibility study, digital breast tomosynthesis and ABUS were performed using the FUSION-X-US-II prototype without any change of the breast position in patients referred for clarification of breast lesions with an indication for tomosynthesis.

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  • Infertility affects many women, and researchers are studying if endometriosis plays a role in it, focusing on specific immune cells in the uterus.
  • The study looked at 173 patients, comparing those with endometriosis to those without, and found no link between higher uterine natural killer cells and endometriosis.
  • They discovered that women with endometriosis might have a higher chance of chronic endometritis and that a certain treatment could improve pregnancy rates.
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