Classification of submitted nuclear medicine dissertation and directional consideration

핵의학 투고 논문 분류 및 방향성 고찰

  • Ho-Yeon, Cho (Department of Nuclear Medicine, Samsung Medical Center) ;
  • Yeong-Ran, Woo (Department of Nuclear Medicine, Samsung Medical Center) ;
  • Kang-Rok, Seo (Department of Nuclear Medicine, Samsung Medical Center) ;
  • Gun-Chul, Hong (Department of Nuclear Medicine, Samsung Medical Center)
  • 조호연 (삼성서울병원 핵의학과) ;
  • 우영란 (삼성서울병원 핵의학과) ;
  • 서강록 (삼성서울병원 핵의학과) ;
  • 홍건철 (삼성서울병원 핵의학과)
  • Received : 2022.09.30
  • Accepted : 2022.10.11
  • Published : 2022.10.22

Abstract

Purpose Since 1985, the Korean society of nuclear medicine technology (KSNMT) has been engaged in academic activities related to nuclear medicine imaging. From 2017 to 2021, the papers published in the journal were classified by the specific fields to examine the trends in the research and the direction of nuclear medicine in comparison with the papers submitted to the Korean Society of Nuclear Medicine (KSNM) during the same period. Materials and Methods From 2017 to 2021, papers submitted to KSNMT and KSNM were classified and databaseization using the Excel program by submission type, examination equipment, and examination field. Through this data, the number of papers published in journals by year, the number of papers submitted by detailed fields, and key words by era were analyzed and compared. Results The papers included by journal was 57 KSNMT and 280 KSNM. The major large classification of equipment, PET, Planar and SPECT was 26.3%, 21.1%, 19.3% in the KSNMT, KSNM was 49.6%, 6.4%, and 9.3%, with 66.7% and 65.3%, respectively. the major medium classification of equipment, industrial safety, urogenital system, nervous system, and quality control accounted for 54.4% of the total papers of the total ratio in the KSNMT, while the medium classification of oncology, endocrine system, urogenital system, therapy, and nervous system accounted for 61.1% of KSNM. In the major small classification of image acquisition, improvement effect, and exposure management accounted for 70.2% in KSNMT, while the items of image acquisition, report, and improvement effect accounted for 60.7% in KSNM. The major keywords except for equipment-related keywords such as PET/CT, PET/MR, and SPECT were SUV, Planar Image, and Respiration Gating Method in KSNMT and Ga68, Thyroid, and Lymphoma in the KSNM. Conclusion When checking the last 5 years of submissions, we can see that KSNMT is mainly concerned with image acquisition using existing radiotracers, while KSNM has focused on new radiotracers such as 68Ga, 177Lu, etc., and new medical technologies of theranostic. It has been confirmed that more PET-related papers than other examination equipment will account for a greater number of papers, and it is believed that future submissions will also account for a higher proportion of PET-related papers than other equipment.

Keywords

References

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