三浦 由佳

Aims: To visualize the process of esophageal speech in patients who underwent laryngectomy using diagnostic ultrasound.Material and methods: Three patients with different surgical reconstructions (total laryngectomy, pharyngo-laryngo-esophagectomy with gastric tube reconstruction, and pharyngo-laryngo-cervical-esophagectomy with free jejunal reconstruction) were studied. Ultrasound with a linear probe observed organ vibration and dimensions at the 5th-7th cervical vertebrae during rest, air swallowing, and phonation. Cross-sectional lateral and anteroposterior diameters were measured.Results: Lateral diameters (mm) during rest, air swallowing, and sound production were 15, 18, and 15 for the esophagus; 24, 27, and 23 for the gastric tube; and 19, 32, and 20 for the jejunal graft, respectively. Longitudinal motion of the esophagus and gastric tube lumen coincided with artifact, while jejunal villi movements were noted. Air swallowing induced an oval organ shape, and lateral diameters shortened during sound production.Conclusions: Vibratory activity spanning over 4 cm was observed at the 5th-7th cervical vertebrae. Each organ displayed distinct vibration patterns, with luminal shape changes during sound production. These findings offer new insights into the biomechanics of esophageal speech and understanding of postoperative rehabilitation.

This study aimed to develop an artificial intelligence-based classification system using ultrasound images obtained via a transgluteal cleft scanning approach for detecting fecal retention in the lower rectum. The goal was to support accurate, objective constipation assessment by nurses in home care settings, where traditional diagnostic tools are often unavailable. Ultrasound videos of the lower rectum were collected from 24 patients undergoing dialysis at a mixed-care hospital. From 90 videos, 2,855 still images were extracted and labeled by expert sonographers based on the presence or absence of hyperechoic areas indicating fecal retention. A deep learning segmentation model using U-Net with a ResNeXt-50 encoder was trained and evaluated. Performance was measured using the intersection over union threshold of 0.5 to define true positives. Accuracy, sensitivity, and specificity were calculated on a test dataset of 758 images. Among the test images, 376 (49.6%) showed fecal retention. The AI system achieved a sensitivity of 81.6%, specificity of 84.0%, and overall accuracy of 82.8%. The mean IoU was 0.601 ± 0.185, indicating a high level of agreement between expert annotations and AI-generated predictions. The tool reliably detected fecal retention in ultrasound images obtained using the transgluteal cleft approach, which overcomes limitations of traditional transabdominal scanning caused by obesity, bladder emptying, or bowel gas. The proposed AI-assisted ultrasound system showed high diagnostic performance in identifying fecal retention in the lower rectum. It may enable non-specialist nurses to assess constipation more safely and accurately, particularly in home-care environments. This technology has the potential to reduce unnecessary laxative use and invasive interventions, ultimately improving the quality of bowel care for older adults with impaired communication or mobility.

本研究では症状を訴えられない高齢者のための超音波検査を用いた便秘の検出精度に関して調べることを目的とした。英語および日本語の文献で便秘の検出における超音波検査の診断精度を示す研究（縦断的観察研究、横断的研究、症例対照研究）を、MEDLINE、The Cochrane Library/CENTRAL、医中誌Web、Embase、CINAHL、およびCochrane Database of Systematic Reviewで検索した。それぞれの研究において、便秘評価ツールとしての超音波検査の感度と特異度を計算し、統合した推定の感度特異度を算出した。その結果、6 つの研究が対象として含まれ、超音波検査は1 日1 回、または排便前に実施されていた。超音波検査による便秘検出の統合した感度と特異度は、それぞれ0.93（95% CI: 0.63-0.99）および0.81（95% CI: 0.60-0.92）であった。対象となった研究の全体的なエビデンスの確実性は、「不明」なバイアスリスクが50％以上評価領域に存在し、また研究間で結果が異なっており、研究数が10件未満であったため、非常に低いと評価された。したがって、超音波検査は便秘検出において高い診断精度を示しており、その携帯性および非侵襲性から臨床現場で有用な評価ツールとなる可能性があると考えられる。しかし、エビデンスレベルが低いため、今後さらなる研究が必要である。

BACKGROUND: Transabdominal ultrasound is used to detect fecal impaction, but the rectum is difficult to visualize without bladder urine or with gastrointestinal gas. OBJECTIVE: We developed a transgluteal cleft approach that is unaffected by these factors and sought to determine if our ultrasound method could detect and classify fecal matter in the lower rectum using this approach. METHODS: We classified ultrasound images from hospitalized patients into four groups: Group 1 (bowed and rock-like echogenic areas), Group 2 (irregular and cotton candy-like hyperechoic areas), Group 3 (flat and mousse-like hyperechoic areas), and Group 4 (linear echogenic areas in the lumen). Stool characteristics were classified as hard, normal, and muddy/watery. Sensitivity and specificity were determined based on fecal impaction and stool classification accuracy. RESULTS: We obtained 129 ultrasound images of 23 patients. The sensitivity and specificity for fecal retention in the rectum were both 100.0%. The recall rates were 71.8% for Group 1, 93.1% for Group 2, 100.0% for Group 3, and 100.0% for Group 4. The precision rates were 96.6% for Group 1, 71.1% for Group 2, 88.9% for Group 3, and 100.0% for Group 4. Our method was 89.9% accurate overall. CONCLUSION: Transgluteal cleft approach ultrasound scanning can detect and classify fecal properties with high accuracy.

AIM: This clinical practice guideline aims to provide and recommend methods of assessing aspiration and pharyngeal residue during eating and swallowing and methods of selecting and implementing nursing care for adults to prevent the development of aspiration pneumonia through early and appropriate management of oropharyngeal dysphagia. METHODS: In April 2018, the Japan Academy of Nursing Science established the Supervisory Committee in Nursing Care Development/Standardization Committee to develop clinical practice guidelines for aspiration and pharyngeal residual assessment during eating and swallowing for nursing care. This clinical practice guideline was developed according to the Minds Manual for Guideline Development 2017, with the aim of providing a specific pathway for nurses to determine the policy for selecting management for oropharyngeal dysphagia based on research evidence and multifaceted factors including the balance of benefits and harms and patients' values. RESULTS: Based on the 10 clinical questions related to assessment by physical assessment, the Repetitive Saliva Swallowing Test, Modified Water Swallowing Test, Food Test, cervical auscultation, observation using an ultrasound diagnostic device, and an endoscope, 10 recommendations have been developed. Eight recommendations have been evaluated as the Grading of Recommendations Assessment, Development and Evaluation (GRADE) 2C, and the other two have been evaluated as no GRADE. CONCLUSION: The first reliable clinical practice guideline has been produced from an academic nursing organization that focuses on assessment for nursing care and incorporates the latest findings.

The classification of ultrasound (US) findings of pressure injury is important to select the appropriate treatment and care based on the state of the deep tissue, but it depends on the operator’s skill in image interpretation. Therefore, US for pressure injury is a procedure that can only be performed by a limited number of highly trained medical professionals. This study aimed to develop an automatic US image classification system for pressure injury based on deep learning that can be used by non-specialists who do not have a high skill in image interpretation. A total 787 training data were collected at two hospitals in Japan. The US images of pressure injuries were assessed using the deep learning-based classification tool according to the following visual evidence: unclear layer structure, cobblestone-like pattern, cloud-like pattern, and anechoic pattern. Thereafter, accuracy was assessed using two parameters: detection performance, and the value of the intersection over union (IoU) and DICE score. A total of 73 images were analyzed as test data. Of all 73 images with an unclear layer structure, 7 showed a cobblestone-like pattern, 14 showed a cloud-like pattern, and 15 showed an anechoic area. All four US findings showed a detection performance of 71.4–100%, with a mean value of 0.38–0.80 for IoU and 0.51–0.89 for the DICE score. The results show that US findings and deep learning-based classification can be used to detect deep tissue pressure injuries.

BACKGROUND: The effectiveness of point-of-care ultrasound (POCUS) for nurses has been demonstrated; however, only a limited number of nurses have been trained to perform POCUS. This article reports on a POCUS train-the-trainer program for nurse educators that targets lower urinary track dysfunction. METHOD: Nurse educators (n = 38) were invited to participate in a POCUS train-the-trainer program, which comprised an e-learning module and a hands-on seminar. Acquisition of knowledge and skills were assessed after the module and seminar, respectively. RESULTS: Questions from the "Basic Knowledge of Ultrasonography" test were answered correctly at a rate of 93.0% (SD, 8.5%). Measured values of bladder urinary volume using ultrasonography were in close agreement with actual values. All of the participants indicated that the program covered the content necessary to use in practice. CONCLUSION: The POCUS train-the-trainer program equips nurse educators with the knowledge and skills needed for training nurses at their institutions. [J Contin Educ Nurs. 2021;52(8):375-381.].

AIMS: While bowel preparation for colonoscopy is the key to successful examination, taking laxatives and showing stools to others causes both physical and mental distress to the patient. Thus, an alternative method to evaluation bowel preparation is necessary. In the current study, we studied the colonic fecal retention by ultrasonography (US) and examined the US finding which reflected completion of BP. MATERIAL AND METHODS: The subjects were outpatients who underwent colonoscopy. This report summarizes the ultrasonographic images of patients who underwent multiple US examinations for all five sites of the colon just before, during, and immediately after bowel preparation. According to the standard protocol, the patients took 2 L of polyethylene glycol-ascorbic acid as a laxative, which was discontinued when the nurse visually judged the stool to be clear. RESULTS: Seven patients in their 50s-80s, none of whom were unable to complete a colonoscopy due to residual feces were included in study. Following bowel preparation, the US images showed anechoic areas with haustration in four or all five areas of the colon. Three of the seven patients received low-dose laxatives (1.1-1.2 L); all three had watery stools in three or more colon areas and none of them were constipated at the time of taking 1 L of laxatives. CONCLUSIONS: Completion of bowel preparation can be assessed by the observation of anechoic areas with haustration in multiple colonic sites by ultrasonography.

AIM: To estimate diagnostic accuracy of ultrasonography for detecting aspiration and pharyngeal residue in patients with dysphagia. METHODS: A systematic search was conducted in MEDLINE (via PubMed), CINAHL, EMBASE, Ichushi-Web, and Cochrane Library databases to identify articles that showed diagnostic accuracy of ultrasonography for detecting aspiration and residue published in English and Japanese until August 2019. Cross-sectional studies, case-control studies, and cohort studies were included. The diagnostic accuracy results were extracted and the pooled estimated sensitivity and specificity were calculated. The risk of bias of the studies was assessed using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies 2. The certainty of the evidence was assessed using the Grades of Recommendation Assessment, Development, and Evaluation methodology. RESULTS: Five studies were included in this review. The pooled estimated sensitivity and specificity for detecting aspiration were 0.82 (95% CI: 0.72-0.89) and 0.87 (95% CI: 0.81-0.92), respectively. One study was included that evaluated ultrasound assessments of pharyngeal residue. The sensitivity and specificity were 0.62 (95% CI: 0.32-0.86) and 0.67 (95% CI: 0.22-0.96), respectively. The certainty of the evidence was low and very low for the diagnostic accuracy of aspiration and pharyngeal residue, respectively. CONCLUSION: Ultrasound is a non-invasive method with good sensitivity and specificity in detecting aspiration as well as reference standards. While risk of bias and small number of studies limited the strength of this systematic review, our results suggested that ultrasound examination was useful as a bedside screening tool for detecting aspiration.

訪問看護師が撮影した直腸エコー動画を用いて，既存のArtificial Intelligenceに基づく読影支援アプリケーションによる便貯留評価をより高い精度で行うことのできる手法の考案を目的とした．訪問看護ステーション1施設の診療記録を対象とし，撮影された直腸エコー動画から静止画を出力した．各静止画に対し，エコーのエキスパートによる読影，および直腸便貯留を示す高エコー域を抽出しカラー表示するアプリケーションによる便貯留の有無の判定を行った．前者を正解とし，アプリケーションの判定精度を評価した．アプリケーションの判定で偽陽性であった画像において，直腸以外の便やガスの貯留と区別するために抽出領域の深度が体表面から50 mm 未満であった画像，さらに，便貯留以外の高エコー域と区別するために長径が14.5 mm未満となる抽出領域を除外したところ，感度81.1％，特異度87.8％，正解率83.7 であった．アプリケーションの判定精度を高めるための手段として，抽出領域の深度および長径を調整する手法が考案された．<br><br>【キーメッセージ】<br>1．今回の研究は看護・介護のどのような問題をテーマにしているのか？<br> 研究を行うきっかけとなったことはどのようなことか？<br>&rarr;訪問看護では便秘，具体的には大腸便貯留のアセスメントに難渋しており，超音波検査（エコー）による便の可視化が有用である．先行研究より，便秘をアセスメントするうえでは特に直腸の観察が重要であることが明らかになっている．エコーの撮影技術は教育プログラムで解決できるものの，画像の読影のむずかしさに対する解決策は立っていなかったため，今回の研究に着手した．<br><br>2．この研究成果が看護・介護にどのように貢献できるのか？あるいは，将来的に貢献できることは何か？<br>&rarr; 簡便で迅速・正確な大腸便貯留観察と便秘のアセスメントにつながる．看護師だけでなく将来的には介護職，家族，患者など，誰もが便秘の評価に使えるような技術になることが期待される．<br><br>3．今後どのような技術が必要になるのか？<br>&rarr; 現時点ではパソコンあるいはスマーフォン上で起動するアプリケーションのため，今回の研究のような機能を搭載した携帯型エコー装置が開発されることが期待される．

AIM: Nurses have difficulty assessing the type of constipation by ordinal assessment methods and may therefore struggle to select an appropriate defecation care. Although previous studies described the safety and effectiveness of defecation care based on ultrasonographic observations in the colorectum, no standardized educational program has been established. This study aimed to determine the feasibility of the constipation point-of-care ultrasound (POCUS) educational program regarding the use of ultrasonography as an assessment tool to determine different types of constipation. METHODS: This descriptive study was conducted for visiting nurses working in Japan. The constipation POCUS educational program that nurses can learn in as short as 7 days comprised four elements: E-learning, a hands-on seminar, self-learning, and objective structured clinical examinations (OSCEs). The nurses were asked to complete a questionnaire regarding the education materials. OSCEs were used to assess the participants' skills in assessing patients based on the use of ultrasound observation in the colorectum. RESULTS: Of the 44 participants who enrolled, 40 were able to complete the program. All the 40 participants (100.0%) who took the OSCEs were able to pass at the first attempt. Moreover, 94.9% of the trainees indicated that this program was able to cover the content necessary to use ultrasonography in home care settings. CONCLUSIONS: The results of this study suggest that the 7-day constipation POCUS educational program provided trainees with a foundational knowledge and skills to observe fecal retention in the colorectum. Thus, further educational program enhancements and clinical skill evaluations are needed to maximize the program's effectiveness in the future.