• 제목/요약/키워드: Radiology Reports

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Investigation of Terminology Coverage in Radiology Reporting Templates and Free-text Reports

  • Hong, Yi;Zhang, Jin
    • International Journal of Knowledge Content Development & Technology
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    • 제5권1호
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    • pp.5-14
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    • 2015
  • The Radiological Society of North America (RSNA) is improving reporting practices by developing an online library of clear and consistent report templates. To compare term occurrences in free-text radiology reports and RSNA reporting templates, the Wilcoxon signed-rank test method was applied to investigate how much of the content of conventional narrative reports is covered by the terms included in the RSNA reporting templates. The results show that the RSNA reporting templates cover most terms that appear in actual radiology reports. The Wilcoxon test may be helpful in evaluatingexisting templates and guiding the enhancement of reporting templates.

대학병원 응급 영상검사에서 영상의학과 전공의 가판독과 전문의 최종 판독 간의 불일치 발생률 분석 (Analysis of the Rate of Discrepancy between Preliminary Reports by Radiology Residents and Final Reports by Certified Radiologists for Emergency Radiology: Studies in a University Hospital)

  • 정연범;신청일;제환준;김정훈;정진욱
    • 대한영상의학회지
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    • 제82권5호
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    • pp.1186-1195
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    • 2021
  • 목적 대학병원 성인응급실에서 영상의학과 전공의 가판독과 전문의 최종 판독 간에 불일치가 발생한 빈도를 조사하고, 이 발생률에 영향을 미칠 수 있는 요인을 살펴보았다. 대상과 방법 2016년 12월부터 2019년 11월까지 성인응급실에서 촬영된 전산화단층촬영과 자기공명영상 검사 중, 전공의 가판독과 전문의 최종 판독 간에 불일치로 인해 환자의 진단이나 치료 계획이 변경될 수 있는 경우를 중대한 불일치로 정의하고, 이를 유형별로 분류하였다. 이후 전공의 근무 시간대, 응급실 근무 경력, 세부 분야별로 중대한 불일치 발생률의 분포를 살펴보았다. 결과 총 72137건의 가판독 중 중대한 불일치를 보인 검사는 총 1348건(1.9%) 이었다. 중대한 불일치의 유형으로는 위음성(72.0%)이 가장 많았고, 오판(26.3%), 위양성(1.7%) 순이었다. 또한 급성 소견의 중대한 불일치(87.2%)가 비급성 소견의 중대한 불일치(12.8%)보다 많았다. 중대한 불일치 발생률은 24시간 교대 근무 후반부로 갈수록 증가하였으며, 새벽 2시부터 4시 사이가 2.9%로 가장 높았다. 전공의의 응급실 근무 경력에 따른 발생률 차이는 없었고, 세부 분야별 발생률은 0.6%-4.5%로 다양했다. 결론 가판독과 최종 판독 간에 중대한 불일치 발생률은 2% 미만이었고, 24시간 교대 근무 후반으로 갈수록 증가하였다.

Generating Radiology Reports via Multi-feature Optimization Transformer

  • Rui Wang;Rong Hua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2768-2787
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    • 2023
  • As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

Comparison of Urologist Satisfaction for Different Types of Prostate MRI Reports: A Large Sample Investigation

  • Jinman Zhong;Weijun Qin;Yu Li;Yang Wang;Yi Huan;Jing Ren
    • Korean Journal of Radiology
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    • 제21권12호
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    • pp.1326-1333
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    • 2020
  • Objective: To evaluate urologist satisfaction on structured prostate MRI reports, including report with tumor-node-metastasis (TNM) staging (report B) and with Prostate Imaging Reporting and Data System (PI-RADS) score with/without TNM staging (report C, report with PI-RADS score only [report C-a] and report with PI-RADS score and TNM staging [C-b]) compared with conventional free-text report (report A). Materials and Methods: This was a prospective comparative study. Altogether, 3015 prostate MRI reports including reports A, B, C-a, and C-b were rated by 13 urologists using a 5-point Likert Scale. A questionnaire was used to assess urologist satisfaction based on the following parameters: correctness, practicality, and urologist subjectivity. Kruskal-Wallis H-test followed by Nemenyi test was used to compare urologists' satisfaction parameters for each report type. The rate of urologist-radiologist recalls for each report type was calculated. Results: Reports B and C including its subtypes had higher ratings of satisfaction than report A for overall satisfaction degree, and parameters of correctness, practicality, and subjectivity (p < 0.05). There was a significant difference between report B and C (p < 0.05) in practicality score, but no statistical difference was found in overall satisfaction degree, and correctness and subjectivity scores (p > 0.05). Compared with report C-b (p > 0.05), report B and C-a (p < 0.05) showed a significant difference in overall satisfaction degree and parameters of practicality and subjectivity. In terms of correctness score, neither report C-a nor C-b had a significant difference with report B (p > 0.05). No statistical difference was found between report C-a and C-b in overall satisfaction degree and all three parameters (p > 0.05). The rate of urologist-radiologist recalls for reports A, B, C-a and C-b were 29.1%, 10.8%, 18.1% and 11.2%, respectively. Conclusion: Structured reports, either using TNM or PI-RADS are highly preferred over conventional free-text reports and lead to fewer report-related post-hoc inquiries from urologists.

Cavernous Hemangioma of the Gallbladder: a Case Report

  • Park, Jae Hwi;Lee, Jeong Sub;Choi, Guk Myung;Kim, Bong Soo;Kim, Seung Hyoung;Kim, JeongJae;Kim, Doo Ri;Hyun, Chang Lim;Her, Kyu Hee
    • Investigative Magnetic Resonance Imaging
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    • 제23권3호
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    • pp.264-269
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    • 2019
  • Cavernous hemangioma of the gallbladder is an extremely rare benign tumor. The tumor has only a few cases being reported in literature. However, to the best of our knowledge, no reports focusing on the MRI findings of cavernous hemangioma of the gallbladder have been published. This study reports a case of gallbladder hemangioma with pathologic and radiologic reviews, including MRI findings.

Dental radiology reporting status and recording frequency of reporting items in Korea

  • Jinwoo Choi
    • Imaging Science in Dentistry
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    • 제53권1호
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    • pp.35-42
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    • 2023
  • Purpose: This study investigated the current dental radiology reporting methods and the recording rate of 10 mandatory reporting items in Korea. Materials and Methods: An original online survey created using Google Forms was distributed to dental practitioners. The survey asked about the participants' age, experience, workplace, use of radiologic equipment, radiology reporting methods, and recording reporting items. Results: In total, 354 responses were analyzed. Radiologic reporting in dental charts was the most commonly used method for each modality. Four out of 10 mandatory items were recorded at a high rate, but the remaining 6 items had substantially lower recording rates, often below 50%. The participants who reported radiographic findings through other separate methods had higher item scores than those who wrote findings in dental charts(P<0.05). Conclusion: Radiologic societies and dental associations should encourage the use of separate reports for radiographic examinations. Education regarding radiology reports and the justification for reporting items should be reinforced in dental schools, training courses on radiology, and the continuing education curriculum.

Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography

  • Thomas Weikert;Luca Andre Noordtzij;Jens Bremerich;Bram Stieltjes;Victor Parmar;Joshy Cyriac;Gregor Sommer;Alexander Walter Sauter
    • Korean Journal of Radiology
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    • 제21권7호
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    • pp.891-899
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    • 2020
  • Objective: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT. Materials and Methods: We retrospectively identified all whole-body trauma CT scans referred from the emergency department of our hospital from January to December 2018 (n = 511). Scans were categorized as positive (n = 159) or negative (n = 352) for rib fractures according to the clinically approved written CT reports, which served as the index test. The bone kernel series (1.5-mm slice thickness) served as an input for a detection prototype algorithm trained to detect both acute and chronic rib fractures based on a deep convolutional neural network. It had previously been trained on an independent sample from eight other institutions (n = 11455). Results: All CTs except one were successfully processed (510/511). The algorithm achieved a sensitivity of 87.4% and specificity of 91.5% on a per-examination level [per CT scan: rib fracture(s): yes/no]. There were 0.16 false-positives per examination (= 81/510). On a per-finding level, there were 587 true-positive findings (sensitivity: 65.7%) and 307 false-negatives. Furthermore, 97 true rib fractures were detected that were not mentioned in the written CT reports. A major factor associated with correct detection was displacement. Conclusion: We found good performance of a deep learning-based prototype algorithm detecting rib fractures on trauma CT on a per-examination level at a low rate of false-positives per case. A potential area for clinical application is its use as a screening tool to avoid false-negative radiology reports.

영상정보교류 실태 파악을 위한 의사 설문조사 (Status of Interchange of Medical Imaging in Korea: A Questionnaire Survey of Physicians)

  • 최문형;정승은;김성준;신나영;용환석;우현식;정우경;진광남;최선형
    • 대한영상의학회지
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    • 제79권5호
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    • pp.247-253
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    • 2018
  • 이 연구의 목적은 영상정보교류의 효용성을 높이기 위한 영상 품질 기준 연구에서 영상정보교류의 실태를 파악하고 영상정보교류에 대한 의사들의 의견을 수렴하기 위해 시행한 설문조사의 결과를 정리하는 것이다. 설문조사는 개별 접촉 또는 소셜 네트워크 서비스를 통해 홍보하였고, 자발적으로 참여한 의사가 설문조사의 대상이다. 설문조사는 기본 정보 및 영상정보교류에 대한 11개의 문항으로 구성되었다. 총 30개 진료과의 전문의 160명이 설문조사에 참여하였고, 95.6%의 응답자가 상급종합병원 또는 종합병원에 근무하는 상태였다. 외부 병원에서 영상검사를 시행한 후 의뢰되는 환자가 빈번하였다. 하지만 판독소견서가 함께 교류되는 경우는 드물었고, 의뢰받은 의료기관의 영상의학과 전문의에 의한 재판독을 통해 이차적인 의견을 구하고자 하는 요구가 많았다. 결론적으로, 외부 판독소견서가 누락되는 경우가 많으므로 판독소견서가 영상정보와 함께 교류될 수 있도록 하는 방안의 마련이 필요하다. 또한 외부 판독이 있더라도 재판독이 필요하다는 의견이 많은 점을 고려할 때 판독소견서에 반드시 포함되어야 할 기본적인 판독소견서의 요소 및 외부 검사의 재판독에 대한 가이드라인이 필요할 것으로 생각된다.

Radiology Residents' Independent Diagnosis of Appendicitis Using 2-mSv Computed Tomography: A Secondary Analysis of a Large Pragmatic Randomized Trial

  • Jungheum Cho;Hae Young Kim;Seungjae Lee;Ji Hoon Park;Kyoung Ho Lee
    • Korean Journal of Radiology
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    • 제24권6호
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    • pp.529-540
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    • 2023
  • Objective: To compare the diagnostic performance and clinical outcomes of 2-mSv computed tomography (CT) and conventional-dose CT (CDCT), following radiology residents' interpretation of CT examinations for suspected appendicitis. Materials and Methods: Altogether, 3074 patients with suspected appendicitis aged 15-44 years (28 ± 9 years, 1672 females) from 20 hospitals were randomly assigned to the 2-mSv CT (n = 1535) or CDCT (n = 1539) groups in a pragmatic trial from December 2013 and August 2016. Overall, 107 radiology residents participated in the trial as readers in the form of daily practice after online training for 2-mSv CT. They made preliminary CT reports, which were later finalized by attending radiologists via addendum reports, for 640 and 657 patients in the 2-mSv CT and CDCT groups, respectively. We compared the diagnostic performance of the residents, discrepancies between preliminary and addendum reports, and clinical outcomes between the two groups. Results: Patient characteristics were similar between the 640 and 657 patients. Residents' diagnostic performance was not significantly different between the 2-mSv CT and CDCT groups, with a sensitivity of 96.0% and 97.1%, respectively (difference [95% confidence interval {CI}], -1.1% [-4.9%, 2.6%]; P = 0.69) and specificity of 93.2% and 93.1%, respectively (0.1% [-3.6%, 3.7%]; P > 0.99). The 2-mSv CT and CDCT groups did not significantly differ in discrepancies between the preliminary and addendum reports regarding the presence of appendicitis (3.3% vs. 5.2%; -1.9% [-4.2%, 0.4%]; P = 0.12) and alternative diagnosis (5.5% vs. 6.4%; -0.9% [-3.6%, 1.8%]; P = 0.56). The rates of perforated appendicitis (12.0% vs. 12.6%; -0.6% [-4.3%, 3.1%]; P = 0.81) and negative appendectomies (1.9% vs. 1.1%; 0.8% [-0.7%, 2.3%]; P = 0.33) were not significantly different between the two groups. Conclusion: Diagnostic performance and clinical outcomes were not significantly different between the 2-mSv CT and CDCT groups following radiology residents' CT readings for suspected appendicitis.