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Review
A stepwise approach to fine needle aspiration cytology of lymph nodes
Yosep Chong, Gyeongsin Park, Hee Jeong Cha, Hyun-Jung Kim, Chang Suk Kang, Jamshid Abdul-Ghafar, Seung-Sook Lee
J Pathol Transl Med. 2023;57(4):196-207.   Published online July 11, 2023
DOI: https://doi.org/10.4132/jptm.2023.06.12
  • 7,700 View
  • 655 Download
  • 1 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary Material
The cytological diagnosis of lymph node lesions is extremely challenging because of the diverse diseases that cause lymph node enlargement, including both benign and malignant or metastatic lymphoid lesions. Furthermore, the cytological findings of different lesions often resemble one another. A stepwise diagnostic approach is essential for a comprehensive diagnosis that combines: clinical findings, including age, sex, site, multiplicity, and ultrasonography findings; low-power reactive, metastatic, and lymphoma patterns; high-power population patterns, including two populations of continuous range, small monotonous pattern and large monotonous pattern; and disease-specific diagnostic clues including granulomas and lymphoglandular granules. It is also important to remember the histological features of each diagnostic category that are common in lymph node cytology and to compare them with cytological findings. It is also essential to identify a few categories of diagnostic pitfalls that often resemble lymphomas and easily lead to misdiagnosis, particularly in malignant small round cell tumors, poorly differentiated squamous cell carcinomas, and nasopharyngeal undifferentiated carcinoma. Herein, we review a stepwise approach for fine needle aspiration cytology of lymphoid diseases and suggest a diagnostic algorithm that uses this approach and the Sydney classification system.

Citations

Citations to this article as recorded by  
  • Immunocytochemical markers, molecular testing and digital cytopathology for aspiration cytology of metastatic breast carcinoma
    Joshua J. X. Li, Gary M. Tse
    Cytopathology.2024; 35(2): 218.     CrossRef
  • Response to comment on “A stepwise approach to fine needle aspiration cytology of lymph nodes”
    Yosep Chong, Gyeongsin Park, Hee Jeong Cha, Hyun-Jung Kim, Chang Suk Kang, Jamshid Abdul-Ghafar, Seung-Sook Lee
    Journal of Pathology and Translational Medicine.2024; 58(1): 43.     CrossRef
  • Comment on “A stepwise approach to fine needle aspiration cytology of lymph nodes”
    Elisabetta Maffei, Valeria Ciliberti, Pio Zeppa, Alessandro Caputo
    Journal of Pathology and Translational Medicine.2024; 58(1): 40.     CrossRef
Original Article
Extremely well-differentiated adenocarcinoma of the stomach: diagnostic pitfalls in endoscopic biopsy
Jongwon Lee, In-Seob Lee, Ji Yong Ahn, Young Soo Park, Jihun Kim
J Pathol Transl Med. 2022;56(2):63-72.   Published online November 16, 2021
DOI: https://doi.org/10.4132/jptm.2021.10.12
  • 4,350 View
  • 390 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary Material
Background
Extremely well-differentiated adenocarcinoma (EWDA) is a deceptively bland-looking adenocarcinoma of the stomach. It often causes diagnostic problems, especially in endoscopic biopsy samples. To better recognize this deceptively bland lesion, we carefully reviewed a series of EWDAs treated at our institution.
Methods
A total of 55 specimens from 19 patients were obtained. Endoscopic, gross and microscopic features defining EWDA were described and documented. For comparison, hyperplastic polyp specimens were randomly selected and analyzed.
Results
Most cases (18 of 19, 94.7%) were advanced gastric cancer (AGC) and primarily located in the body of the stomach (15 of 19, 79.0%). The majority of AGCs were non-ulcerated (11 of 18, 61.1%) with an undermining growth pattern and a relatively small mucosal involvement. Specific histologic features included an irregular glandular shape, an undulating apical cytoplasmic border, disproportionately large glands, a variably distended mucinous cytoplasm. Classical features, such as small infiltrating glands or desmoplastic reactions, were barely observed. Identification of irregularly spaced nuclei and disruption of the foveolar epithelial structure, along with atypical features described above were helpful in making a diagnosis especially in gastric forceps biopsies.
Conclusions
Awareness of the histomorphologic characteristics described in this report would lead to timely diagnosis and prevent repeated endoscopic procedures.

Citations

Citations to this article as recorded by  
  • Unusual or Uncommon Histology of Gastric Cancer
    Jinho Shin, Young Soo Park
    Journal of Gastric Cancer.2024; 24(1): 69.     CrossRef
  • A case of gastric adenocarcinoma with pyloric gland-type infiltrating submucosa
    Kaiho Hirata, Shusuke Yagi, Hideki Miyazaki, Kazuhiko Yamada, Naoki Akazawa, Naoki Enomoto, Kyoko Nohara, Chizu Yokoi, Toru Igari, Norihiro Kokudo
    Surgical Case Reports.2024;[Epub]     CrossRef
Review
Standardization of the pathologic diagnosis of appendiceal mucinous neoplasms
Dong-Wook Kang, Baek-hui Kim, Joon Mee Kim, Jihun Kim, Hee Jin Chang, Mee Soo Chang, Jin-Hee Sohn, Mee-Yon Cho, So-Young Jin, Hee Kyung Chang, Hye Seung Han, Jung Yeon Kim, Hee Sung Kim, Do Youn Park, Ha Young Park, So Jeong Lee, Wonae Lee, Hye Seung Lee, Yoo Na Kang, Younghee Choi
J Pathol Transl Med. 2021;55(4):247-264.   Published online July 8, 2021
DOI: https://doi.org/10.4132/jptm.2021.05.28
  • 9,361 View
  • 724 Download
  • 9 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary Material
Although the understanding of appendiceal mucinous neoplasms (AMNs) and their relationship with disseminated peritoneal mucinous disease have advanced, the diagnosis, classification, and treatment of AMNs are still confusing for pathologists and clinicians. The Gastrointestinal Pathology Study Group of the Korean Society of Pathologists (GPSG-KSP) proposed a multicenter study and held a workshop for the “Standardization of the Pathologic Diagnosis of the Appendiceal Mucinous Neoplasm” to overcome the controversy and potential conflicts. The present article is focused on the diagnostic criteria, terminologies, tumor grading, pathologic staging, biologic behavior, treatment, and prognosis of AMNs and disseminated peritoneal mucinous disease. In addition, GPSG-KSP proposes a checklist of standard data elements of appendiceal epithelial neoplasms to standardize pathologic diagnosis. We hope the present article will provide pathologists with updated knowledge on how to handle and diagnose AMNs and disseminated peritoneal mucinous disease.

Citations

Citations to this article as recorded by  
  • Lower Gastrointestinal Bleeding Secondary to Appendiceal Mucinous Neoplasm: A Report of Two Cases and a Review of the Literature
    Jesús Omar Soto Llanes, Samanta Kin Dosal Limón, Ana Jimena Iberri Jaime, Mario Zambrano Lara, Billy Jiménez Bobadilla
    Cureus.2024;[Epub]     CrossRef
  • Appendiceal perforation secondary to endometriosis with intestinal metaplasia: A case report
    Minghua Wang, Jing Liu, Boxin Hu, Simin Wang, Ping Xie, Ping Li
    Experimental and Therapeutic Medicine.2023;[Epub]     CrossRef
  • Primary and secondary tumors of the peritoneum: key imaging features and differential diagnosis with surgical and pathological correlation
    Javier Miguez González, Francesc Calaf Forn, Laura Pelegrí Martínez, Pilar Lozano Arranz, Rafael Oliveira Caiafa, Jordi Català Forteza, Lina Maria Palacio Arteaga, Ferrán Losa Gaspà, Isabel Ramos Bernadó, Pedro Barrios Sánchez, Juan Ramón Ayuso Colella
    Insights into Imaging.2023;[Epub]     CrossRef
  • Muzinöse Tumoren des Peritoneums
    Anne Kristin Fischer, Andrea Tannapfel, Alexander Quaas
    Die Chirurgie.2023; 94(10): 823.     CrossRef
  • Landscape of Genetic Mutations in Appendiceal Cancers
    Marian Constantin, Cristina Mătanie, Livia Petrescu, Alexandra Bolocan, Octavian Andronic, Coralia Bleotu, Mihaela Magdalena Mitache, Sorin Tudorache, Corneliu Ovidiu Vrancianu
    Cancers.2023; 15(14): 3591.     CrossRef
  • Delivery of an Incidental Appendiceal Mucinous Neoplasm
    Madison Bowles, Jessica Y Ng, Hajir Nabi
    Cureus.2022;[Epub]     CrossRef
  • Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing
    Sungbin An, Hyun Hee Koh, Eun Sol Chang, Juyoung Choi, Ji-Young Song, Mi-Sook Lee, Yoon-La Choi
    Frontiers in Oncology.2022;[Epub]     CrossRef
Original Article
Deep learning for computer-assisted diagnosis of hereditary diffuse gastric cancer
Sean A. Rasmussen, Thomas Arnason, Weei-Yuarn Huang
J Pathol Transl Med. 2021;55(2):118-124.   Published online January 22, 2021
DOI: https://doi.org/10.4132/jptm.2020.12.22
  • 2,758 View
  • 118 Download
  • 5 Web of Science
  • 5 Crossref
AbstractAbstract PDF
Background
Patients with hereditary diffuse gastric cancer often undergo prophylactic gastrectomy to minimize cancer risk. Because intramucosal poorly cohesive carcinomas in this setting are typically not grossly visible, many pathologists assess the entire gastrectomy specimen microscopically. With 150 or more slides per case, this is a major time burden for pathologists. This study utilizes deep learning methods to analyze digitized slides and detect regions of carcinoma.
Methods
Prophylactic gastrectomy specimens from seven patients with germline CDH1 mutations were analyzed (five for training/validation and two for testing, with a total of 133 tumor foci). All hematoxylin and eosin slides containing cancer foci were digitally scanned, and patches of size 256×256 pixels were randomly extracted from regions of cancer as well as from regions of normal background tissue, resulting in 15,851 images for training/validation and 970 images for testing. A model with DenseNet-169 architecture was trained for 150 epochs, then evaluated on images from the test set. External validation was conducted on 814 images scanned at an outside institution.
Results
On individual patches, the trained model achieved a receiver operating characteristic (ROC) area under the curve (AUC) of 0.9986. This enabled it to maintain a sensitivity of 90% with a false-positive rate of less than 0.1%. On the external validation dataset, the model achieved a similar ROC AUC of 0.9984. On whole slide images, the network detected 100% of tumor foci and correctly eliminated an average of 99.9% of the non-cancer slide area from consideration.
Conclusions
Overall, our model shows encouraging progress towards computer-assisted diagnosis of hereditary diffuse gastric cancer.

Citations

Citations to this article as recorded by  
  • Artificial intelligence applicated in gastric cancer: A bibliometric and visual analysis via CiteSpace
    Guoyang Zhang, Jingjing Song, Zongfeng Feng, Wentao Zhao, Pan Huang, Li Liu, Yang Zhang, Xufeng Su, Yukang Wu, Yi Cao, Zhengrong Li, Zhigang Jie
    Frontiers in Oncology.2023;[Epub]     CrossRef
  • Deep learning of endoscopic features for the assessment of neoadjuvant therapy response in locally advanced rectal cancer
    Anqi Wang, Jieli Zhou, Gang Wang, Beibei Zhang, Hongyi Xin, Haiyang Zhou
    Asian Journal of Surgery.2023; 46(9): 3568.     CrossRef
  • Non-endoscopic Applications of Machine Learning in Gastric Cancer: A Systematic Review
    Marianne Linley L. Sy-Janairo, Jose Isagani B. Janairo
    Journal of Gastrointestinal Cancer.2023;[Epub]     CrossRef
  • Preparing Data for Artificial Intelligence in Pathology with Clinical-Grade Performance
    Yuanqing Yang, Kai Sun, Yanhua Gao, Kuansong Wang, Gang Yu
    Diagnostics.2023; 13(19): 3115.     CrossRef
  • Using Deep Learning to Predict Final HER2 Status in Invasive Breast Cancers That are Equivocal (2+) by Immunohistochemistry
    Sean A. Rasmussen, Valerie J. Taylor, Alexi P. Surette, Penny J. Barnes, Gillian C. Bethune
    Applied Immunohistochemistry & Molecular Morphology.2022; 30(10): 668.     CrossRef
Reviews
Standardized pathology report for breast cancer
Soo Youn Cho, So Yeon Park, Young Kyung Bae, Jee Yeon Kim, Eun Kyung Kim, Woo Gyeong Kim, Youngmee Kwon, Ahwon Lee, Hee Jin Lee, Ji Shin Lee, Jee Young Park, Gyungyub Gong, Hye Kyoung Yoon
J Pathol Transl Med. 2021;55(1):1-15.   Published online January 11, 2021
DOI: https://doi.org/10.4132/jptm.2020.11.20
  • 7,930 View
  • 589 Download
  • 6 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary Material
Given the recent advances in management and understanding of breast cancer, a standardized pathology report reflecting these changes is critical. To meet this need, the Breast Pathology Study Group of the Korean Society of Pathologists has developed a standardized pathology reporting format for breast cancer, consisting of ‘standard data elements,’ ‘conditional data elements,’ and a biomarker report form. The ‘standard data elements’ consist of the basic pathologic features used for prognostication, while other factors related to prognosis or diagnosis are described in the ‘conditional data elements.’ In addition to standard data elements, all recommended issues are also presented. We expect that this standardized pathology report for breast cancer will improve diagnostic concordance and communication between pathologists and clinicians, as well as between pathologists inter-institutionally.

Citations

Citations to this article as recorded by  
  • Residual pure intralymphatic carcinoma component only (lymphovascular tumor emboli without invasive carcinoma) after neoadjuvant chemotherapy is associated with poor outcome: Not pathologic complete response
    Hyunwoo Lee, Yunjeong Jang, Yoon Ah Cho, Eun Yoon Cho
    Human Pathology.2024; 145: 1.     CrossRef
  • Sentinel lymph node biopsy in patients with ductal carcinomain situ: systematic review and meta-analysis
    Matthew G. Davey, Colm O’Flaherty, Eoin F. Cleere, Aoife Nohilly, James Phelan, Evan Ronane, Aoife J. Lowery, Michael J. Kerin
    BJS Open.2022;[Epub]     CrossRef
Molecular characteristics of meningiomas
Young Suk Lee, Youn Soo Lee
J Pathol Transl Med. 2020;54(1):45-63.   Published online January 15, 2020
DOI: https://doi.org/10.4132/jptm.2019.11.05
  • 13,838 View
  • 558 Download
  • 31 Web of Science
  • 34 Crossref
AbstractAbstract PDF
Meningioma is the most common primary intracranial tumor in adults. The grading of meningioma is based on World Health Organization criteria, which rely on histopathological features alone. This grading system is unable to conclusively predict the clinical behavior of these tumors (i.e., recurrence or prognosis in benign or atypical grades). Advances in molecular techniques over the last decade that include genomic and epigenomic data associated with meningiomas have been used to identify genetic biomarkers that can predict tumor behavior. This review summarizes the molecular characteristics of meningioma using genetic and epigenetic biomarkers. Molecular alterations that can predict meningioma behavior may be integrated into the upcoming World Health Organization grading system.

Citations

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    Arsene Daniel Nyalundja, Fabrice Mugisha, Claire Karekezi
    Seminars in Neurology.2024; 44(01): 001.     CrossRef
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    Gray Umbach, Edwina B. Tran, Charlotte D. Eaton, Abrar Choudhury, Ramin Morshed, Javier E. Villanueva-Meyer, Philip V. Theodosopoulos, Stephen T. Magill, Michael W. McDermott, David R. Raleigh, Ezequiel Goldschmidt
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    Journal of Neuro-Oncology.2023; 161(2): 339.     CrossRef
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    Nicolas Serratrice, Imène Lameche, Christian Attieh, Moussa A Chalah, Joe Faddoul, Bilal Tarabay, Rabih Bou-Nassif, Youssef Ali, Joseph G Mattar, François Nataf, Samar S Ayache, Georges N Abi Lahoud
    Frontiers in Oncology.2023;[Epub]     CrossRef
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    Sarah A Cain, Bernard Pope, Stefano Mangiola, Theo Mantamadiotis, Katharine J Drummond
    BMC Cancer.2023;[Epub]     CrossRef
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    Radiología.2023; 65(5): 458.     CrossRef
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    Liguo Ye, Shi’ao Tong, Yaning Wang, Yu Wang, Wenbin Ma
    Journal of Cancer Research and Clinical Oncology.2023; 149(12): 9857.     CrossRef
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    A. Basit Khan, Rajan Patel, Malcolm F. McDonald, Eric Goethe, Collin English, Ron Gadot, Arya Shetty, Shervin Hosseingholi Nouri, Arif O. Harmanci, Akdes S. Harmanci, Tiemo J. Klisch, Akash J. Patel
    Journal of Neuro-Oncology.2023; 163(2): 397.     CrossRef
  • DNA methylation meningioma biomarkers: attributes and limitations
    Zhaohui Li, Yufei Gao, Jinnan Zhang, Liang Han, Hang Zhao
    Frontiers in Molecular Neuroscience.2023;[Epub]     CrossRef
  • Meningioma: A Biography—Tumor Forever Tied to the Origins and “Soul of Neurosurgery”
    Nolan J. Brown, Zach Pennington, Cathleen C. Kuo, Julian Gendreau, Sachiv Chakravarti, Rohin Singh, Dontré M. Douse, Jamie J. Van Gompel
    World Neurosurgery.2023; 178: 191.     CrossRef
  • Molecular genetic features of meningiomas
    E.S. Makashova, N.V. Lasunin, M.V. Galkin, S.V. Zolotova, K.O. Karandasheva, A.V. Golanov
    Voprosy neirokhirurgii imeni N.N. Burdenko.2023; 87(4): 101.     CrossRef
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    Gerardo Caruso, Rosamaria Ferrarotto, Antonello Curcio, Luisa Metro, Francesco Pasqualetti, Paola Gaviani, Valeria Barresi, Filippo Flavio Angileri, Maria Caffo
    Cancers.2023; 15(18): 4521.     CrossRef
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    A. Navarro-Ballester, M. Aleixandre-Barrachina, S.F. Marco-Doménech
    Radiología (English Edition).2023; 65(5): 458.     CrossRef
  • Early Preventive Strategies and CNS Meningioma – Is This Feasible? A Comprehensive Review of the Literature
    Daniel Sescu, Aminta Chansiriwongs, Katarzyna Julia Minta, Jyothi Vasudevan, Chandrasekaran Kaliaperumal
    World Neurosurgery.2023; 180: 123.     CrossRef
  • Domestic Animal Models of Central Nervous System Tumors: Focus on Meningiomas
    Michele Tomanelli, Tullio Florio, Gabriela Vargas, Aldo Pagano, Paola Modesto
    Life.2023; 13(12): 2284.     CrossRef
  • The integrated multiomic diagnosis of sporadic meningiomas: a review of its clinical implications
    Stephanie M. Robert, Shaurey Vetsa, Arushii Nadar, Sagar Vasandani, Mark W. Youngblood, Evan Gorelick, Lan Jin, Neelan Marianayagam, E Zeynep Erson-Omay, Murat Günel, Jennifer Moliterno
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    Alexander K. Forward, Holger Andreas Volk, Giunio Bruto Cherubini, Tom Harcourt-Brown, Ioannis N. Plessas, Laurent Garosi, Steven De Decker
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    Zhao-Lin Wang, Jian-Hui Mou, Dong Sun, Peng Liu
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    Jiaojiao Deng, Lingyang Hua, Liuguan Bian, Hong Chen, Ligang Chen, Hongwei Cheng, Changwu Dou, Dangmurenjiapu Geng, Tao Hong, Hongming Ji, Yugang Jiang, Qing Lan, Gang Li, Zhixiong Liu, Songtao Qi, Yan Qu, Songsheng Shi, Xiaochuan Sun, Haijun Wang, Yongpi
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    Abdalrahman Nassar, Volodymyr Smolanka
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    Rahmina Meta, Henning B. Boldt, Bjarne W. Kristensen, Felix Sahm, Wenche Sjursen, Sverre H. Torp
    Cancers.2021; 13(6): 1262.     CrossRef
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    Suha Bachir, Sanjit Shah, Scott Shapiro, Abigail Koehler, Abdelkader Mahammedi, Ravi N. Samy, Mario Zuccarello, Elizabeth Schorry, Soma Sengupta
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    Christian Ogasawara, Brandon D. Philbrick, D. Cory Adamson
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    Minsun Jung, Seong-Ik Kim, Ka Young Lim, Jeongmo Bae, Chul-Kee Park, Seung Hong Choi, Sung-Hye Park, Jae-Kyung Won
    Human Pathology.2021; 115: 96.     CrossRef
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    Gerardo Cazzato, Valeria Internò, Antonietta Cimmino, Raffaella Messina, Marco Tucci, Teresa Lettini, Leonardo Resta, Giuseppe Ingravallo
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    Lianhua Zhao, Wei Zhao, Yanwei Hou, Cuixia Wen, Jing Wang, Pei Wu, Zaiyu Guo
    Frontiers in Oncology.2020;[Epub]     CrossRef
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    Jiachen Liu, Congcong Xia, Gaiqing Wang
    Frontiers in Oncology.2020;[Epub]     CrossRef
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    Zhiwei Shao, Lihong Liu, Yanghao Zheng, Sheng Tu, Yuanbo Pan, Sheng Yan, Qichun Wei, Anwen Shao, Jianmin Zhang
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    Andres Ramos-Fresnedo, Ricardo A. Domingo, Tito Vivas-Buitrago, Larry Lundy, Daniel M. Trifiletti, Mark E. Jentoft, Amit B. Desai, Alfredo Quiñones-Hinojosa
    Journal of Neuro-Oncology.2020; 149(3): 413.     CrossRef
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    Kristin Huntoon, Angus Martin Shaw Toland, Sonika Dahiya
    Frontiers in Oncology.2020;[Epub]     CrossRef
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    Corinna Seliger, Wolfgang Wick
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Original Articles
Cytological Features That Differentiate Follicular Neoplasm from Mimicking Lesions
Kanghee Han, Hwa-Jeong Ha, Joon Seog Kong, Jung-Soon Kim, Jae Kyung Myung, Jae Soo Koh, Sunhoo Park, Myung-Soon Shin, Woo-Tack Song, Hye Sil Seol, Seung-Sook Lee
J Pathol Transl Med. 2018;52(2):110-120.   Published online January 29, 2018
DOI: https://doi.org/10.4132/jptm.2018.01.17
  • 12,920 View
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AbstractAbstract PDF
Background
It is difficult to correctly diagnose follicular neoplasms (FNs) on fine-needle aspiration cytology (FNAC) because it shares many cytological features with other mimicking lesions. The aim of this study was to identify the cytological features that differentiate FNs from mimicking lesions.
Methods
We included the cytological slides from 116 cases of thyroid FN diagnosed on FNAC, and included their subsequent histological diagnoses. We evaluated the cytological architectural pattern and nuclear features of the lesions according to their histological groups.
Results
The final histological diagnoses of the 116 cases varied, and included 51 FNs (44%), 47 papillary thyroid carcinomas (40%) including follicular variant, and seventeen cellular nodular hyperplasias (15%). Regardless of the final histological diagnosis, microfollicular pattern was observed in most cases. On the other hand, trabecular pattern was identified in 34% of FNs, but not in any other lesions. Additionally, elongated nuclei and ground glass chromatin were found in only some papillary thyroid carcinomas.
Conclusions
This study shows that the trabecular pattern is a representative cytological feature of FNs that can be used to distinguish FNs from mimicking lesions. In addition, nuclear shape and chromatin pattern can be used to further confirm the diagnosis of FNs from mimicking lesions through FNAC.

Citations

Citations to this article as recorded by  
  • Diagnostic implication of thyroid spherules for cytological diagnosis of thyroid nodules
    Heeseung Sohn, Kennichi Kakudo, Chan Kwon Jung
    Cytopathology.2024; 35(3): 383.     CrossRef
  • Using Deep Convolutional Neural Networks for Enhanced Ultrasonographic Image Diagnosis of Differentiated Thyroid Cancer
    Wai-Kin Chan, Jui-Hung Sun, Miaw-Jene Liou, Yan-Rong Li, Wei-Yu Chou, Feng-Hsuan Liu, Szu-Tah Chen, Syu-Jyun Peng
    Biomedicines.2021; 9(12): 1771.     CrossRef
  • The Role of Fine Needle Aspiration Biopsy with Bethesda System in the Evaluation of Thyroid Nodules
    Gizem AKKAŞ AKGÜN, Figen ASLAN
    Anadolu Kliniği Tıp Bilimleri Dergisi.2021; 26(1): 23.     CrossRef
  • Comprehensive DNA Methylation Profiling Identifies Novel Diagnostic Biomarkers for Thyroid Cancer
    Jong-Lyul Park, Sora Jeon, Eun-Hye Seo, Dong Hyuck Bae, Young Mun Jeong, Yourha Kim, Ja Seong Bae, Seon-Kyu Kim, Chan Kwon Jung, Yong Sung Kim
    Thyroid.2020; 30(2): 192.     CrossRef
  • Preoperative diagnostic categories of fine needle aspiration cytology for histologically proven thyroid follicular adenoma and carcinoma, and Hurthle cell adenoma and carcinoma: Analysis of cause of under- or misdiagnoses
    Hee Young Na, Jae Hoon Moon, June Young Choi, Hyeong Won Yu, Woo-Jin Jeong, Yeo Koon Kim, Ji-Young Choe, So Yeon Park, Paula Soares
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Reclassification of Mixed Oligoastrocytic Tumors Using a Genetically Integrated Diagnostic Approach
Seong-Ik Kim, Yujin Lee, Jae-Kyung Won, Chul-Kee Park, Seung Hong Choi, Sung-Hye Park
J Pathol Transl Med. 2018;52(1):28-36.   Published online September 29, 2017
DOI: https://doi.org/10.4132/jptm.2017.09.25
  • 6,874 View
  • 227 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Background
Mixed gliomas, such as oligoastrocytomas (OA), anaplastic oligoastrocytomas, and glioblastomas (GBMs) with an oligodendroglial component (GBMO) are defined as tumors composed of a mixture of two distinct neoplastic cell types, astrocytic and oligodendroglial. Recently, mutations ATRX and TP53, and codeletion of 1p/19q are shown to be genetic hallmarks of astrocytic and oligodendroglial tumors, respectively. Subsequent molecular analyses of mixed gliomas preferred the reclassification to either oligodendroglioma or astrocytoma. This study was designed to apply genetically integrated diagnostic criteria to mixed gliomas and determine usefulness and prognostic value of new classification in Korean patients.
Methods
Fifty-eight cases of mixed OAs and GBMOs were retrieved from the pathology archives of Seoul National University Hospital from 2004 to 2015. Reclassification was performed according to genetic and immunohistochemical properties. Clinicopathological characteristics of each subgroup were evaluated. Overall survival was assessed and compared between subgroups.
Results
We could reclassify all mixed OAs and GBMOs into either astrocytic or oligodendroglial tumors. Notably, 29 GBMOs could be reclassified into 11 cases of GBM, IDH-mutant, 16 cases of GBM, IDH-wildtype, and two cases of anaplastic oligodendroglioma, IDH mutant. Overall survival was significantly different among these new groups (p<.001). Overall survival and progression-free survival were statistically better in gliomas with IDH mutation, ATRX mutation, no microscopic necrosis, and young patient age (cut off, 45 years old).
Conclusions
Our results strongly suggest that a genetically integrated diagnosis of glioma better reflects prognosis than former morphology-based methods.

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Reviews
Molecular Testing of Brain Tumor
Sung-Hye Park, Jaekyung Won, Seong-Ik Kim, Yujin Lee, Chul-Kee Park, Seung-Ki Kim, Seung-Hong Choi
J Pathol Transl Med. 2017;51(3):205-223.   Published online May 12, 2017
DOI: https://doi.org/10.4132/jptm.2017.03.08
  • 28,614 View
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AbstractAbstract PDF
The World Health Organization (WHO) classification of central nervous system (CNS) tumors was revised in 2016 with a basis on the integrated diagnosis of molecular genetics. We herein provide the guidelines for using molecular genetic tests in routine pathological practice for an accurate diagnosis and appropriate management. While astrocytomas and IDH-mutant (secondary) glioblastomas are characterized by the mutational status of IDH, TP53, and ATRX, oligodendrogliomas have a 1p/19q codeletion and mutations in IDH, CIC, FUBP1, and the promoter region of telomerase reverse transcriptase (TERTp). IDH-wildtype (primary) glioblastomas typically lack mutations in IDH, but are characterized by copy number variations of EGFR, PTEN, CDKN2A/B, PDGFRA, and NF1 as well as mutations of TERTp. High-grade pediatric gliomas differ from those of adult gliomas, consisting of mutations in H3F3A, ATRX, and DAXX, but not in IDH genes. In contrast, well-circumscribed low-grade neuroepithelial tumors in children, such as pilocytic astrocytoma, pleomorphic xanthoastrocytoma, and ganglioglioma, often have mutations or activating rearrangements in the BRAF, FGFR1, and MYB genes. Other CNS tumors, such as ependymomas, neuronal and glioneuronal tumors, embryonal tumors, meningothelial, and other mesenchymal tumors have important genetic alterations, many of which are diagnostic, prognostic, and predictive markers and therapeutic targets. Therefore, the neuropathological evaluation of brain tumors is increasingly dependent on molecular genetic tests for proper classification, prediction of biological behavior and patient management. Identifying these gene abnormalities requires cost-effective and high-throughput testing, such as next-generation sequencing. Overall, this paper reviews the global guidelines and diagnostic algorithms for molecular genetic testing of brain tumors.

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Molecular Testing for Gastrointestinal Cancer
Hye Seung Lee, Woo Ho Kim, Yoonjin Kwak, Jiwon Koh, Jeong Mo Bae, Kyoung-Mee Kim, Mee Soo Chang, Hye Seung Han, Joon Mee Kim, Hwal Woong Kim, Hee Kyung Chang, Young Hee Choi, Ji Y. Park, Mi Jin Gu, Min Jin Lhee, Jung Yeon Kim, Hee Sung Kim, Mee-Yon Cho
J Pathol Transl Med. 2017;51(2):103-121.   Published online February 19, 2017
DOI: https://doi.org/10.4132/jptm.2017.01.24
  • 17,887 View
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AbstractAbstract PDF
With recent advances in molecular diagnostic methods and targeted cancer therapies, several molecular tests have been recommended for gastric cancer (GC) and colorectal cancer (CRC). Microsatellite instability analysis of gastrointestinal cancers is performed to screen for Lynch syndrome, predict favorable prognosis, and screen patients for immunotherapy. The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor has been approved in metastatic CRCs with wildtype RAS (KRAS and NRAS exon 2–4). A BRAF mutation is required for predicting poor prognosis. Additionally, amplification of human epidermal growth factor receptor 2 (HER2) and MET is also associated with resistance to EGFR inhibitor in metastatic CRC patients. The BRAF V600E mutation is found in sporadic microsatellite unstable CRCs, and thus is helpful for ruling out Lynch syndrome. In addition, the KRAS mutation is a prognostic biomarker and the PIK3CA mutation is a molecular biomarker predicting response to phosphoinositide 3-kinase/AKT/mammalian target of rapamycin inhibitors and response to aspirin therapy in CRC patients. Additionally, HER2 testing should be performed in all recurrent or metastatic GCs. If the results of HER2 immunohistochemistry are equivocal, HER2 silver or fluorescence in situ hybridization testing are essential for confirmative determination of HER2 status. Epstein-Barr virus–positive GCs have distinct characteristics, including heavy lymphoid stroma, hypermethylation phenotype, and high expression of immune modulators. Recent advances in next-generation sequencing technologies enable us to examine various genetic alterations using a single test. Pathologists play a crucial role in ensuring reliable molecular testing and they should also take an integral role between molecular laboratories and clinicians.

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Original Article
Differential Immunohistochemical Profiles for Distinguishing Prostate Carcinoma and Urothelial Carcinoma
Woo Jin Oh, Arthur Minwoo Chung, Jee Soon Kim, Ji Heun Han, Sung Hoo Hong, Ji Yeol Lee, Yeong Jin Choi
J Pathol Transl Med. 2016;50(5):345-354.   Published online August 7, 2016
DOI: https://doi.org/10.4132/jptm.2016.06.14
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AbstractAbstract PDF
Background
The pathologic distinction between high-grade prostate adenocarcinoma (PAC) involving the urinary bladder and high-grade urothelial carcinoma (UC) infiltrating the prostate can be difficult. However, making this distinction is clinically important because of the different treatment modalities for these two entities.
Methods
A total of 249 patient cases (PAC, 111 cases; UC, 138 cases) collected between June 1995 and July 2009 at Seoul St. Mary’s Hospital were studied. An immunohistochemical evaluation of prostatic markers (prostate-specific antigen [PSA], prostate-specific membrane antigen [PSMA], prostate acid phosphatase [PAP], P501s, NKX3.1, and α-methylacyl coenzyme A racemase [AMACR]) and urothelial markers (CK34βE12, p63, thrombomodulin, S100P, and GATA binding protein 3 [GATA3]) was performed using tissue microarrays from each tumor.
Results
The sensitivities of prostatic markers in PAC were 100% for PSA, 83.8% for PSMA, 91.9% for PAP, 93.7% for P501s, 88.3% for NKX 3.1, and 66.7% for AMACR. However, the urothelial markers CK34βE12, p63, thrombomodulin, S100P, and GATA3 were also positive in 1.8%, 0%, 0%, 3.6%, and 0% of PAC, respectively. The sensitivities of urothelial markers in UC were 75.4% for CK34βE12, 73.9% for p63, 45.7% for thrombomodulin, 22.5% for S100P, and 84.8% for GATA3. Conversely, the prostatic markers PSA, PSMA, PAP, P501s, NKX3.1, and AMACR were also positive in 9.4%, 0.7%, 18.8%, 0.7%, 0%, and 8.7% of UCs, respectively.
Conclusions
Prostatic and urothelial markers, including PSA, NKX3.1, p63, thrombomodulin, and GATA3 are very useful for differentiating PAC from UC. The optimal combination of prostatic and urothelial markers could improve the ability to differentiate PAC from UC pathologically.

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Review
Pathology Reporting of Thyroid Core Needle Biopsy: A Proposal of the Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group
Chan Kwon Jung, Hye Sook Min, Hyo Jin Park, Dong Eun Song, Jang Hee Kim, So Yeon Park, Hyunju Yoo, Mi Kyung Shin, Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group
J Pathol Transl Med. 2015;49(4):288-299.   Published online June 17, 2015
DOI: https://doi.org/10.4132/jptm.2015.06.04
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AbstractAbstract PDF
In recent years throughout Korea, the use of ultrasound-guided core needle biopsy (CNB) has become common for the preoperative diagnosis of thyroid nodules. However, there is no consensus on the pathology reporting system for thyroid CNB. The Korean Endocrine Pathology Thyroid Core Needle Biopsy Study Group held a conference on thyroid CNB pathology and developed guidelines through contributions from the participants. This article discusses the outcome of the discussions that led to a consensus on the pathology reporting of thyroid CNB.

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Original Article
Diagnostic Accuracy of Endoscopic Ultrasound-Guided Fine Needle Aspiration Cytology of Pancreatic Lesions
Hae Woon Baek, Min Jee Park, Ye-Young Rhee, Kyoung Bun Lee, Min A Kim, In Ae Park
J Pathol Transl Med. 2015;49(1):52-60.   Published online January 15, 2015
DOI: https://doi.org/10.4132/jptm.2014.10.26
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AbstractAbstract PDF
Background
Endoscopic ultrasound–guided fine needle aspiration cytology (EUS-FNAC) is currently the most commonly used procedure for obtaining cytologic specimens of the pancreas. It is accurate, minimally invasive, safe and cost-effective. However, there is discrepancy between cytological and surgical diagnoses. This study was aimed at evaluating the diagnostic accuracy of EUS-FNAC of the pancreas. Methods: We performed a retrospective review of 191 cases of pancreatic lesions initially diagnosed by EUS-FNAC with subsequent histological diagnosis between 2010 and 2012 in the Department of Pathology, Seoul National University Hospital. Cytologic and surgical diagnoses were categorized into five groups: negative, benign, atypical, malignant, and insufficient for diagnosis. Subsequently, 167 cases with satisfactory yield in both surgical and cytology specimens were statistically analyzed to determine correlations with diagnosis. Results: In comparison to surgical diagnoses, cytologic diagnoses were true-positive in 103 cases (61.7%), true-negative in 28 cases (16.8%), false-positive in 9 cases (5.4%), and false-negative in 27 cases (16.1%). The diagnostic accuracy was 78.4%, sensitivity was 79.2%, and specificity was 75.7%. The positive predictive value was 92.0%, and negative predictive value was 50.9%. Conclusions: EUS-FNAC has high accuracy, sensitivity, specificity and positive predictive value. Overcoming the limitations of EUS-FNAC will make it a useful and reliable diagnostic tool for accurate evaluation of pancreatic lesions.

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Case Study
A Case of Metastatic Angiosarcoma Diagnosed by Liquid-Based Preparation: Peculiar Cytoplasmic Changes
Min Jung Jung, Young Ok Kim
Korean J Pathol. 2014;48(3):241-247.   Published online June 26, 2014
DOI: https://doi.org/10.4132/KoreanJPathol.2014.48.3.241
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AbstractAbstract PDF

Angiosarcoma with predominantly epithelioid features is a rare soft tissue neoplasm and the interpretation of its cytopathologic findings may be difficult. We report a case of metastatic angiosarcoma with predominantly epithelioid features diagnosed by liquid-based cytology. The cytopathologic findings in this case differed from those of the conventional preparation and we found a clean background, no hyperchromatic nuclei and several cytoplasmic changes, including intracytoplasmic vacuoles with peculiar shapes, juxtanuclear condensation and perinuclear clearing. Identification of these changes using liquid-based cytology supplemented with immunochemistry may be helpful in reaching a correct cytopathologic diagnosis.

Citations

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  • Cytological Features of a Metastatic Angiosarcoma in the Lymph Node Diagnosed via Liquid-Based Cytology
    Jie-Yang Jhuang, Chih-Yi Liu, Min-Hui Tseng, Shih-Sung Chuang
    Diagnostics.2023; 13(12): 2124.     CrossRef
  • Radiation-associated Angiosarcoma Presenting as Massive Pleural Effusion
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    Internal Medicine.2022; 61(9): 1393.     CrossRef
  • Delayed diagnosis of angiosarcoma of the spleen: clinically presenting as recurrent haemoperitoneum following embolisation
    V. Kornmann, P. van Rijn, D. Mulder, K. Reijnders
    Case Reports.2015; 2015(apr09 1): bcr2014208956.     CrossRef
  • A Case of Angiosarcoma of the Scalp with Invasion to the Pleural Effusion
    Yusuke Amano, Yukari Obana, Yoko Nakanishi, Ryusuke Tsujimura, Kayomi Wakamatsu, Fumiko Uemura, Yoshihisa Katsura, Masahiko Sugitani, Norimichi Nemoto
    Journal of Nihon University Medical Association.2015; 74(3): 113.     CrossRef
Original Article
Early Colorectal Epithelial Neoplasm in Korea: A Multicenter Survey of Pathologic Diagnosis
Yun Kyung Kang, So-Young Jin, Mee Soo Chang, Jung Yeon Kim, Gyeong Hoon Kang, Hye Seung Lee, Jin Hee Sohn, Ho Sung Park, Kye Won Kwon, Mi Jin Gu, Young Hee Maeng, Jong Eun Joo, Haeng Ji Kang, Hee Kyung Kim, Kee-Taek Jang, Mi Ja Lee, Hee Kyung Chang, Joon Mee Kim, Hye Seung Han, Won Ae Lee, Yoon Jung Choi, Dong Wook Kang, Sunhoo Park, Jae Hyuk Lee, Mee-Yon Cho
Korean J Pathol. 2013;47(3):245-251.   Published online June 25, 2013
DOI: https://doi.org/10.4132/KoreanJPathol.2013.47.3.245
  • 9,148 View
  • 54 Download
  • 1 Crossref
AbstractAbstract PDF
Background

The incidence of early colorectal epithelial neoplasm (ECEN) is increasing, and its pathologic diagnosis is important for patient care. We investigated the incidence of ECEN and the current status of its pathologic diagnosis.

Methods

We collected datasheets from 25 institutes in Korea for the incidence of colorectal adenoma with high grade dysplasia (HGD) and low grade dysplasia in years 2005, 2007, and 2009; and early colorectal carcinoma in the year 2009. We also surveyed the diagnostic terminology of ECEN currently used by the participating pathologists.

Results

The average percentage of diagnoses of adenoma HGD was 7.0%, 5.0%, and 3.4% in years 2005, 2007, and 2009, respectively. The range of incidence rates of adenoma HGD across the participating institutes has gradually narrowed over the years 2005 to 2009. The incidence rate of early colorectal carcinoma in the year 2009 was 21.2%. The participants did not share a single criterion or terminology for the diagnosis of adenoma HGD. The majority accepted the diagnostic terms that distinguished noninvasive, mucosal confined, and submucosal invasive carcinoma.

Conclusions

Further research requirements suggested are a diagnostic consensus for the histopathologic diagnosis of ECEN; and standardization of diagnostic terminology critical for determining the disease code.

Citations

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  • Diminutive and Small Colorectal Polyps: The Pathologist's Perspective
    Yun Kyung Kang
    Clinical Endoscopy.2014; 47(5): 404.     CrossRef

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