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Papyan R, Hovsepyan S, Hoveyan J, Hovhannisyan S, Arakelyan T, Tamamyan G, Sargsyan L, Hakobyan L, Davtyan L, Lazaryan A, Dallakyan D, Manukyan N, Mkhitaryan A, Grigoryan N, Perkowski S, Froehlich B, Groll A, Schiborr M, Glutig K, Kroeger K, Deventer N, Vaal MM, Wiebe K, Haier J, Hartmann W, Wardelmann E, Scheer M, Jürgens H. Breaking barriers: The impact of telemedicine on improving soft tissue and bone tumor management in Armenia. J Cancer Policy 2025; 43:100530. [PMID: 39672462 DOI: 10.1016/j.jcpo.2024.100530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 11/19/2024] [Accepted: 12/05/2024] [Indexed: 12/15/2024]
Abstract
PURPOSE Musculoskeletal sarcomas are a rare group of malignant neoplasms, accounting for approximately 12 % of all malignant neoplasms among children. Childhood cancer outcomes vary between developed and developing countries due to financial and educational inequalities. Telemedicine programs have a huge impact on the quality of cancer care, helping to optimize resources for better cancer care in a resource-limited setting. In 2019, Armenia established multidisciplinary teams (MDT) with the guidance of international experts via telemedicine, significantly improving patients' management diagnosed with sarcomas. METHODS The musculoskeletal cancer working group, mentored by the University Hospital of Münster (UKM), conducted weekly virtual tumor boards to discuss cases, focusing on the review of pathological and radiological examinations. RESULTS From August 2019 to December 2023, the musculoskeletal cancer MDT discussed 151 musculoskeletal tumor cases via 74 MDT meetings. Imaging studies of all discussed cases were reviewed, while the review of histology images was performed for 93 % of cases. The pathology review led to changes in previously established diagnoses in eleven cases, which subsequently changed management. These led to altered local control strategies for 32 patients, with 5 requiring treatment abroad, and changes in chemotherapy regimens for 17 patients. Notably, there were no cases of treatment refusal post-implementation, a reduction from the previous 3 % refusal rate. CONCLUSION The successful telemedicine initiative, coupled with institutional support, improved the care of patients diagnosed with musculoskeletal tumors. The investment in telemedicine in developing countries not only enhances communications with international and local experts across various disciplines but also significantly improves the handling of patients diagnosed with sarcomas.
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Affiliation(s)
- Ruzanna Papyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia; Immune Oncology Research Institute, Yerevan, Armenia.
| | - Shushan Hovsepyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia; Immune Oncology Research Institute, Yerevan, Armenia
| | - Julieta Hoveyan
- Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia; Immune Oncology Research Institute, Yerevan, Armenia
| | - Saten Hovhannisyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia
| | | | - Gevorg Tamamyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia; Immune Oncology Research Institute, Yerevan, Armenia
| | - Lilit Sargsyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia
| | - Lusine Hakobyan
- Department of Hematology and Pediatric Oncology, Yerevan State Medical University, Yerevan, Armenia; Pediatric Cancer and Blood Disorders Center of Armenia, Yeolyan Hematology and Oncology Center, Yerevan, Armenia
| | | | - Armine Lazaryan
- National Center of Oncology named after V.A. Fanarjyan, Yerevan, Armenia; Ira Medical Group, Yerevan, Armenia
| | | | - Narek Manukyan
- National Center of Oncology named after V.A. Fanarjyan, Yerevan, Armenia
| | - Armen Mkhitaryan
- Histogen Armenian-German Scientific Center of Pathology, Yerevan, Armenia
| | - Nelli Grigoryan
- National Center of Oncology named after V.A. Fanarjyan, Yerevan, Armenia
| | - Sybille Perkowski
- Clinic for Pediatric and Neonatal Surgery, University Hospital Münster, Münster, Germany
| | - Birgit Froehlich
- Department of Pediatric Hematology and Oncology, University Hospital Münster, Münster, Germany
| | - Andreas Groll
- Department of Pediatric Hematology and Oncology, University Hospital Münster, Münster, Germany
| | - Manfred Schiborr
- Department of Pediatric Radiology, University Hospital Münster, Münster, Germany
| | - Katja Glutig
- Department of Pediatric Radiology, University Hospital Münster, Münster, Germany
| | - Kai Kroeger
- Department of Radiation Oncology, University Hospital Münster, Münster, Germany
| | - Niklas Deventer
- Department of Orthopedic Oncology, University Hospital Münster, Münster, Germany
| | | | - Karsten Wiebe
- Department of Chest Surgery, University Hospital Münster, Münster, Germany
| | - Joerg Haier
- Department of Chest Surgery, University Hospital Münster, Münster, Germany
| | - Wolfgang Hartmann
- Comprehensive Cancer Center, Hannover Medical School, Hanover, Germany
| | - Eva Wardelmann
- Department of Pathology, University Hospital Münster, Münster, Germany
| | - Monika Scheer
- Department of Pediatric Oncology and Hematology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Heribert Jürgens
- Department of Pediatric Hematology and Oncology, University Hospital Münster, Münster, Germany
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Di J, Hickey C, Bumgardner C, Yousif M, Zapata M, Bocklage T, Balzer B, Bui MM, Gardner JM, Pantanowitz L, Qasem SA. Utility of artificial intelligence in a binary classification of soft tissue tumors. J Pathol Inform 2024; 15:100368. [PMID: 38496781 PMCID: PMC10940995 DOI: 10.1016/j.jpi.2024.100368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 01/25/2024] [Accepted: 02/09/2024] [Indexed: 03/19/2024] Open
Abstract
Soft tissue tumors (STTs) pose diagnostic and therapeutic challenges due to their rarity, complexity, and morphological overlap. Accurate differentiation between benign and malignant STTs is important to set treatment directions, however, this task can be difficult. The integration of machine learning and artificial intelligence (AI) models can potentially be helpful in classifying these tumors. The aim of this study was to investigate AI and machine learning tools in the classification of STT into benign and malignant categories. This study consisted of three components: (1) Evaluation of whole-slide images (WSIs) to classify STT into benign and malignant entities. Five specialized soft tissue pathologists from different medical centers independently reviewed 100 WSIs, representing 100 different cases, with limited clinical information and no additional workup. The results showed an overall concordance rate of 70.4% compared to the reference diagnosis. (2) Identification of cell-specific parameters that can distinguish benign and malignant STT. Using an image analysis software (QuPath) and a cohort of 95 cases, several cell-specific parameters were found to be statistically significant, most notably cell count, nucleus/cell area ratio, nucleus hematoxylin density mean, and cell max caliper. (3) Evaluation of machine learning library (Scikit-learn) in differentiating benign and malignant STTs. A total of 195 STT cases (156 cases in the training group and 39 cases in the validation group) achieved approximately 70% sensitivity and specificity, and an AUC of 0.68. Our limited study suggests that the use of WSI and AI in soft tissue pathology has the potential to enhance diagnostic accuracy and identify parameters that can differentiate between benign and malignant STTs. We envision the integration of AI as a supportive tool to augment the pathologists' diagnostic capabilities.
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Affiliation(s)
- Jing Di
- University of Kentucky College of Medicine, Lexington, KY, United States
| | - Caylin Hickey
- University of Kentucky College of Medicine, Lexington, KY, United States
| | - Cody Bumgardner
- University of Kentucky College of Medicine, Lexington, KY, United States
| | | | | | - Therese Bocklage
- University of Kentucky College of Medicine, Lexington, KY, United States
| | - Bonnie Balzer
- Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Marilyn M. Bui
- Moffitt Cancer Center & Research Institute, Tampa, FL, United States
| | | | - Liron Pantanowitz
- University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Shadi A. Qasem
- University of Kentucky College of Medicine, Lexington, KY, United States
- Baptist Health Jacksonville, Jacksonville, FL, United States
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3
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Ray-Coquard I, Casali PG, Croce S, Fennessy FM, Fischerova D, Jones R, Sanfilippo R, Zapardiel I, Amant F, Blay JY, Martἰn-Broto J, Casado A, Chiang S, Dei Tos AP, Haas R, Hensley ML, Hohenberger P, Kim JW, Kim SI, Meydanli MM, Pautier P, Abdul Razak AR, Sehouli J, van Houdt W, Planchamp F, Friedlander M. ESGO/EURACAN/GCIG guidelines for the management of patients with uterine sarcomas. Int J Gynecol Cancer 2024; 34:1499-1521. [PMID: 39322612 DOI: 10.1136/ijgc-2024-005823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2024] Open
Affiliation(s)
- Isabelle Ray-Coquard
- Department of Medical Oncology, Centre Leon Berard, Lyon, France
- Hesper Laboratory, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Paolo Giovanni Casali
- Medical Oncology Unit 2, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Sabrina Croce
- Department of Biopathology, Institut Bergonié, Bordeaux, France
| | - Fiona M Fennessy
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Daniela Fischerova
- Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague 2, Czech Republic
| | - Robin Jones
- Royal Marsden Hospital NHS Trust, London, UK
| | - Roberta Sanfilippo
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Ignacio Zapardiel
- Gynecologic Oncology Unit, La Paz University Hospital, Madrid, Spain
| | - Frédéric Amant
- Department of Oncology, KU Leuven, Leuven, Flanders, Belgium
- Department of Gynecology, Antoni van Leeuwenhoek Nederlands Kanker Instituut afdeling Gynaecologie, Amsterdam, Netherlands
| | - Jean-Yves Blay
- Department of Medical Oncology, Centre Leon Berard, Lyon, France
| | - Javier Martἰn-Broto
- Department of Medical Oncology, Fundación Jimenez Diaz University Hospital, Madrid, Spain
- University Hospital General de Villalba, Madrid, Spain
| | - Antonio Casado
- Department of Medical Oncology, University Hospital San Carlos, Madrid, Spain
| | - Sarah Chiang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Angelo Paolo Dei Tos
- Department of Integrated Diagnostics, Azienda Ospedale-Università Padova, Padua, Italy
- Department of Medicine, University of Padua, Padua, Italy
| | - Rick Haas
- Department of Radiotherapy, Netherlands Cancer Institute, Amsterdam, Netherlands
- Department of Radiotherapy, Leiden University Medical Center, Leiden, Netherlands
| | - Martee L Hensley
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Peter Hohenberger
- Division of Surgical Oncology and Thoracic Surgery, Mannheim University Medical Centre, University of Heidelberg, Mannheim, Germany
| | - Jae-Weon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | - Se Ik Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
| | | | - Patricia Pautier
- Department of Medical Oncology, Institut Gustave-Roussy, Villejuif, Île-de-France, France
| | - Albiruni R Abdul Razak
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre Gynecologic Site Group, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jalid Sehouli
- Department of Gynecology with Center for Oncological Surgery, Charite Universitatsmedizin Berlin, Berlin, Germany
| | - Winan van Houdt
- Department of Surgery, Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Michael Friedlander
- Department of Medical Oncology, School of Clinical Medicine, Faculty of Medicine and Health, Sydney, New South Wales, Australia
- Department of Medical Oncology, Prince of Wales and Royal Hospital for Women, Randwick, New South Wales, Australia
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Kawai A, Yoshida A, Shimoi T, Kobayashi E, Yonemori K, Ogura K, Iwata S, Toshirou N. Histological diagnostic discrepancy and its clinical impact in bone and soft tissue tumors referred to a sarcoma center. Cancer Sci 2024; 115:2831-2838. [PMID: 38763523 PMCID: PMC11309945 DOI: 10.1111/cas.16211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/23/2024] [Accepted: 04/26/2024] [Indexed: 05/21/2024] Open
Abstract
Histological diagnosis of sarcomas (malignant bone and soft tissue tumors) is challenging due to their rarity, morphological diversity, and constantly evolving diagnostic criteria. In this study, we aimed to assess the concordance in histological diagnosis of bone and soft tissue tumors between referring hospitals and a tertiary sarcoma center and analyzed the clinical impact of the diagnostic alteration. We analyzed 628 consecutively accessioned specimens from 624 patients who visited a specialized sarcoma center for treatment. The diagnoses at referring hospitals and those at the sarcoma center were compared and classified into four categories: agreed, disagreed, specified, and de-specified. Of the 628 specimens, the diagnoses agreed in 403 (64.2%) specimens, whereas some changes were made in 225 (35.8%) specimens: disagreed in 153 (24.3%), specified in 52 (8.3%), and de-specified in 20 (3.2%) cases. The benign/intermediate/malignant judgment changed for 92 cases (14.6%). The diagnostic change resulted in patient management modification in 91 cases (14.5%), including surgical and medical treatment changes. The main inferred reason for the diagnostic discrepancies was a different interpretation of morphological findings of the tumor, which accounted for 48.9% of the cases. This was followed by the unavailability of specialized immunohistochemical antibodies and the unavailability of genetic analysis. In summary, our study clarified the actual clinical impact of diagnostic discrepancy in bone and soft tissue tumors. This may underscore the value of pathology consultation, facilitating access to specialized diagnostic tools, and continued education. These measures are expected to improve diagnostic precision and ultimately benefit patients.
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Affiliation(s)
- Akira Kawai
- Department of Musculoskeletal Oncology and Rehabilitation MedicineNational Cancer Center HospitalTokyoJapan
- Rare Cancer CenterNational Cancer CenterTokyoJapan
| | - Akihiko Yoshida
- Rare Cancer CenterNational Cancer CenterTokyoJapan
- Department of PathologyNational Cancer Center HospitalTokyoJapan
| | - Tatsunori Shimoi
- Rare Cancer CenterNational Cancer CenterTokyoJapan
- Department of Medical OncologyNational Cancer Center HospitalTokyoJapan
| | - Eisuke Kobayashi
- Department of Musculoskeletal Oncology and Rehabilitation MedicineNational Cancer Center HospitalTokyoJapan
- Rare Cancer CenterNational Cancer CenterTokyoJapan
| | - Kan Yonemori
- Department of Medical OncologyNational Cancer Center HospitalTokyoJapan
| | - Koichi Ogura
- Department of Musculoskeletal Oncology and Rehabilitation MedicineNational Cancer Center HospitalTokyoJapan
| | - Shintaro Iwata
- Department of Musculoskeletal Oncology and Rehabilitation MedicineNational Cancer Center HospitalTokyoJapan
- Rare Cancer CenterNational Cancer CenterTokyoJapan
| | - Nishida Toshirou
- Rare Cancer CenterNational Cancer CenterTokyoJapan
- Japan Community Health Care Organization Osaka HospitalOsakaJapan
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5
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Fontebasso AM, Rytlewski JD, Blay JY, Gladdy RA, Wilky BA. Precision Oncology in Soft Tissue Sarcomas and Gastrointestinal Stromal Tumors. Surg Oncol Clin N Am 2024; 33:387-408. [PMID: 38401916 DOI: 10.1016/j.soc.2023.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2024]
Abstract
Soft tissue sarcomas (STSs), including gastrointestinal stromal tumors (GISTs), are mesenchymal neoplasms with heterogeneous clinical behavior and represent broad categories comprising multiple distinct biologic entities. Multidisciplinary management of these rare tumors is critical. To date, multiple studies have outlined the importance of biological characterization of mesenchymal tumors and have identified key molecular alterations which drive tumor biology. GIST has represented a flagship for targeted therapy in solid tumors with the advent of imatinib which has revolutionized the way we treat this malignancy. Herein, the authors discuss the importance of biological and molecular diagnostics in managing STS and GIST patients.
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Affiliation(s)
- Adam M Fontebasso
- Division of Surgical Oncology, Department of Surgery, University of Toronto, 700 University Avenue, 7th Floor, Ontario Power Generation Building, Toronto, Ontario, Canada; Department of Surgery, Mount Sinai Hospital, Sinai Health Systems, 600 University Avenue Room 6-445.10 Surgery, Toronto, Ontario M5G 1X5, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Jeffrey D Rytlewski
- University of Colorado School of Medicine, 12801 East 17th Avenue, Mailstop 8117, Aurora, CO 80045, USA
| | - Jean-Yves Blay
- Centre Léon Bérard, 28, rue Laennec, 69373 cedex 08. Lyon, France
| | - Rebecca A Gladdy
- Division of Surgical Oncology, Department of Surgery, University of Toronto, 700 University Avenue, 7th Floor, Ontario Power Generation Building, Toronto, Ontario, Canada; Department of Surgery, Mount Sinai Hospital, Sinai Health Systems, 600 University Avenue Room 6-445.10 Surgery, Toronto, Ontario M5G 1X5, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Breelyn A Wilky
- University of Colorado School of Medicine, 12801 East 17th Avenue, Mailstop 8117, Aurora, CO 80045, USA.
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Hassan U, Saeed SM, Mushtaq S, Hussain M, Hameed M. The Expression of Mucin-4 (MUC4) in Sarcomas Apart From Sclerosing Epithelioid Fibrosarcoma and Low-Grade Fibromyxoid Sarcoma. Cureus 2023; 15:e49546. [PMID: 38156143 PMCID: PMC10753521 DOI: 10.7759/cureus.49546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/27/2023] [Indexed: 12/30/2023] Open
Abstract
Background Low-grade fibromyxoid sarcoma (LGFMS) and sclerosing epithelioid fibrosarcoma (SEF) are two rare but aggressive soft tissue sarcomas that can be difficult to distinguish due to histopathological similarities. The present study examines the diagnostic capacities of mucin-4 (MUC4), a transmembrane mucin, in identifying different types of sarcomas and broadens its evaluation to include a wide range of sarcomas. Methods Immunohistochemical (IHC) examination of tissue samples from various sarcomas was performed using a mouse anti-MUC4 monoclonal antibody. IHC was conducted on 4-mm thick formalin-fixed paraffin-embedded tissue sections after pressure cooker antigen retrieval with a mouse anti-MUC4 monoclonal antibody. Results MUC4 was shown to be highly expressed in SEF (n=13) and LGFMS (n=10), while focal positivity in synovial sarcoma (n=1). Other sarcomas, such as malignant peripheral nerve sheath tumors, fibrosarcoma, leiomyosarcoma, liposarcoma, and myxofibrosarcoma, exhibited no expression (n=0). These findings are consistent with previous research and support MUC4 specificity as a SEF and LGFMS marker. This study provides information on the diagnostic efficacy of MUC4, particularly in the context of certain subtypes. It not only helps our understanding of these unique instances, but it also provides context for histopathological and IHC findings in soft tissue sarcoma. Furthermore, this study investigates the influence of age and gender on MUC4 expression in a range of sarcomas, which was typically understudied in the literature and found no relation with expression of MUC4. Conclusion In conclusion, this study adds to our understanding of soft tissue sarcomas by emphasizing the crucial role of MUC4 in certain sarcoma subtypes while acknowledging the complex variety of the sarcoma landscape. Further research is needed to understand the molecular mechanism that governs marker expression patterns, as well as the therapeutic implications.
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Affiliation(s)
- Usman Hassan
- Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK
| | - Saad M Saeed
- Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK
| | - Sajid Mushtaq
- Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK
| | - Mudassar Hussain
- Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK
| | - Maryam Hameed
- Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK
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d’Abadie P, Gheysens O, Lhommel R, Jamar F, Kirchgesner T, Mazzeo F, Coubeau L, Yildiz H, De Roo AK, Schubert T. Diagnostic Superiority of Dual-Time Point [ 18F]FDG PET/CT to Differentiate Malignant from Benign Soft Tissue Tumors. Diagnostics (Basel) 2023; 13:3202. [PMID: 37892023 PMCID: PMC10606132 DOI: 10.3390/diagnostics13203202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
[18F]FDG PET/CT is used in the workup of indeterminate soft tissue tumors (STTs) but lacks accuracy in the detection of malignant STTs. The aim of this study is to evaluate whether dual-time point [18F]FDG PET/CT imaging (DTPI) can be useful in this indication. In this prospective study, [18F]FDG PET/CT imaging was performed 1 h (t1) and 3 h (t2) after injection. Tumor uptake (SUVmax) was calculated at each time point to define a retention index (RI) corresponding to the variation between t1 and t2 (%). Sixty-eight patients were included, representing 20 benign and 48 malignant tumors (including 40 sarcomas). The RI was significantly higher in malignant STTs than in benign STTs (median: +21.8% vs. -2%, p < 0.001). An RI of >14.3% predicted STT malignancy with a specificity (Sp) of 90% and a sensitivity (Se) of 69%. An SUVmaxt1 of >4.5 was less accurate with an Sp of 80% and an Se of 60%. In a subgroup of tumors with at least mild [18F]FDG uptake (SUVmax ≥ 3; n = 46), the RI significantly outperformed the diagnostic accuracy of SUVmax (AUC: 0.88 vs. 0.68, p = 0.01). DTPI identifies malignant STT tumors with high specificity and outperforms the diagnostic accuracy of standard PET/CT.
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Affiliation(s)
- Philippe d’Abadie
- Department of Nuclear Medicine, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium; (O.G.); (R.L.); (F.J.)
| | - Olivier Gheysens
- Department of Nuclear Medicine, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium; (O.G.); (R.L.); (F.J.)
| | - Renaud Lhommel
- Department of Nuclear Medicine, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium; (O.G.); (R.L.); (F.J.)
| | - François Jamar
- Department of Nuclear Medicine, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium; (O.G.); (R.L.); (F.J.)
| | - Thomas Kirchgesner
- Department of Radiology, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
| | - Filomena Mazzeo
- Department of Clinical Oncology, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
| | - Laurent Coubeau
- Department of Abdominal Surgery, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
| | - Halil Yildiz
- Department of Internal Medicine, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
| | - An-Katrien De Roo
- Department of Pathology, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
| | - Thomas Schubert
- Department of Orthopedic Surgery, Cliniques Universitaires Saint Luc-Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium;
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Sasi A, Rastogi S. Current stand on systemic therapy in localized soft tissue sarcomas: a clinician's perspective. Future Oncol 2023; 19:2135-2145. [PMID: 37860850 DOI: 10.2217/fon-2023-0592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Soft tissue sarcomas (STS) are rare heterogenous tumors derived from mesenchymal tissue. While surgery represents the primary treatment modality, the high recurrence rates following surgery alone necessitate consideration for systemic therapy in high-risk sarcomas. Despite multiple trials and meta-analyses over the last 3 decades, the role of chemotherapy remains controversial. It is crucial to accurately identify patients with high-risk diseases who may benefit the most from adjuvant and/or neoadjuvant chemotherapy. There is renewed interest in the potential to improve outcomes in localized resectable STSs with the addition of targeted and immunotherapeutic strategies. The review presented here is a summary of current evidence on systemic therapy in resectable localized STSs of the trunk and extremities to facilitate clinician decision-making.
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Affiliation(s)
- Archana Sasi
- Department of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Sameer Rastogi
- Department of Medical Oncology, Dr. B.R.A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India
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Binmadi NO, Alhindi AA, Alsharif MT, Jamal BT, Mair YH. The value of a specialized second-opinion pathological diagnosis for oral and maxillofacial lesions. BMC Oral Health 2023; 23:378. [PMID: 37296405 PMCID: PMC10257276 DOI: 10.1186/s12903-023-03085-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 05/27/2023] [Indexed: 06/12/2023] Open
Abstract
OBJECTIVES An error in the diagnosis of an oral or maxillofacial lesion could potentially be detrimental to a patient's prognosis and management. Major discrepancies between the initial and subsequent diagnoses of head and neck pathologies range from 7 to 53%. This study determined the rate of discrepancies found in the diagnoses of oral and maxillofacial lesions after a second opinion in Saudi Arabia. METHODS A retrospective single-center study was conducted by oral and maxillofacial pathology consultants to review all cases referred for a second opinion to the oral and maxillofacial pathology laboratory between January 2015 and December 2020. If the second-opinion diagnosis matched the original diagnosis, this was described as "agreement." If the second-opinion diagnosis did not match the original diagnosis but would not change the management or prognosis of a patient, this was classified as a "minor disagreement." If the second-opinion diagnosis resulted in the changing of a patient's management or prognosis, this was categorized as a "major disagreement." Chi-square test and Fisher's exact test were used to compare data between original and second-opinion diagnoses. A p-value of less than 0.05 was considered significant. RESULTS Of 138 cases, 59 (43%) had an initial diagnosis and a second-opinion diagnosis that were in major disagreement. The most common tumor for which there was a major disagreement was squamous cell carcinoma. No single factor influenced the occurrence of major disagreements. CONCLUSIONS Our evaluation reiterates the importance of obtaining a second opinion from a specialist in oral and maxillofacial pathology to improve the diagnostic accuracy for lesions. A formal system for this step, in addition to the obtaining of adequate clinical and radiographic information about a patient, is mandatory for the review of difficult cases.
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Affiliation(s)
- Nada O Binmadi
- Department of Oral Diagnostic Sciences, King Abdulaziz University Faculty of Dentistry, P.O. Box 80209, Jeddah, 21589, Saudi Arabia.
| | - Areej A Alhindi
- Department of Oral Diagnostic Sciences, King Abdulaziz University Faculty of Dentistry, P.O. Box 80209, Jeddah, 21589, Saudi Arabia
| | - Maha T Alsharif
- Department of Oral Diagnostic Sciences, King Abdulaziz University Faculty of Dentistry, P.O. Box 80209, Jeddah, 21589, Saudi Arabia
| | - Basem T Jamal
- Department of Oral and Maxillofacial Surgery, King Abdulaziz University Faculty of Dentistry, Jeddah, Saudi Arabia
| | - Yasmin H Mair
- Department of Oral Diagnostic Sciences, King Abdulaziz University Faculty of Dentistry, P.O. Box 80209, Jeddah, 21589, Saudi Arabia
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Flemming DJ, White C, Fox E, Fanburg-Smith J, Cochran E. Diagnostic errors in musculoskeletal oncology and possible mitigation strategies. Skeletal Radiol 2023; 52:493-503. [PMID: 36048252 DOI: 10.1007/s00256-022-04166-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 08/04/2022] [Accepted: 08/16/2022] [Indexed: 02/02/2023]
Abstract
The objective of this paper is to explore sources of diagnostic error in musculoskeletal oncology and potential strategies for mitigating them using case examples. As musculoskeletal tumors are often obvious, the diagnostic errors in musculoskeletal oncology are frequently cognitive. In our experience, the most encountered cognitive biases in musculoskeletal oncologic imaging are as follows: (1) anchoring bias, (2) premature closure, (3) hindsight bias, (4) availability bias, and (5) alliterative bias. Anchoring bias results from failing to adjust an early impression despite receiving additional contrary information. Premature closure is the cognitive equivalent of "satisfaction of search." Hindsight bias occurs when we retrospectively overestimate the likelihood of correctly interpreting the examination prospectively. In availability bias, the radiologist judges the probability of a diagnosis based on which diagnosis is most easily recalled. Finally, alliterative bias occurs when a prior radiologist's impression overly influences the diagnostic thinking of another radiologist on a subsequent exam. In addition to cognitive biases, it is also important for radiologists to acknowledge their feelings when making a diagnosis to recognize positive and negative impact of affect on decision making. While errors decrease with radiologist experience, the lack of application of medical knowledge is often the primary source of error rather than a deficiency of knowledge, emphasizing the need to foster clinical reasoning skills and assist cognition. Possible solutions for reducing error exist at both the individual and the system level and include (1) improvement in knowledge and experience, (2) improvement in clinical reasoning and decision-making skills, and (3) improvement in assisting cognition.
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Affiliation(s)
- Donald J Flemming
- Department of Radiology, Penn State Health Milton S. Hershey Medical Center, 500 University Drive H066, Hershey, PA, 17033, USA.
| | - Carissa White
- Department of Radiology, Penn State Health Milton S. Hershey Medical Center, 500 University Drive H066, Hershey, PA, 17033, USA
| | - Edward Fox
- Department of Orthopaedics, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Julie Fanburg-Smith
- Department of Pathology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Eric Cochran
- Department of Pathology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
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11
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Bone and soft tissue tumors at the borderlands of malignancy. Skeletal Radiol 2023; 52:379-392. [PMID: 35767018 DOI: 10.1007/s00256-022-04099-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 06/01/2022] [Accepted: 06/20/2022] [Indexed: 02/02/2023]
Abstract
This review examines findings of musculoskeletal neoplasms whose equivocal imaging and/or histopathologic features make it difficult to determine if they will show aggressive behavior. We include both intermediate tumors as defined by the World Health Organization (WHO), and a single low-grade malignancy, low-grade central osteosarcoma, which mimics a benign lesion on imaging and histology. Intermediate tumors are a broad category and are subdivided into tumors that have risk of local recurrence only, and ones that have a risk of distant limb and pulmonary metastases. Difficult intermediate musculoskeletal lesions include atypical cartilaginous tumor/grade 1 chondrosarcoma, atypical lipomatous tumor/grade 1 liposarcoma, and solitary fibrous tumor. We review diagnostic criteria, differential diagnosis, and recommendations for surveillance.
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12
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Lipitz-Snyderman A, Chimonas S, Mailankody S, Kim M, Silva N, Kriplani A, Saltz LB, Sihag S, Tan CR, Widmar M, Zauderer M, Weingart S, Perchick W, Roman BR. Clinical value of second opinions in oncology: A retrospective review of changes in diagnosis and treatment recommendations. Cancer Med 2023; 12:8063-8072. [PMID: 36737878 PMCID: PMC10134380 DOI: 10.1002/cam4.5598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 12/08/2022] [Accepted: 12/17/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Data on the clinical value of second opinions in oncology are limited. We examined diagnostic and treatment changes resulting from second opinions and the expected impact on morbidity and prognosis. METHODS This retrospective cohort study included patients presenting in 2018 to a high-volume cancer center for second opinions about newly diagnosed colorectal, head and neck, lung, and myeloma cancers or abnormal results. Two sub-specialty physicians from each cancer type reviewed 30 medical records (120 total) using a process and detailed data collection guide meant to mitigate institutional bias. The primary outcome measure was the rate of treatment changes that were "clinically meaningful", i.e., expected to impact morbidity and/or prognosis. Among those with treatment changes, another outcome measure was the rate of clinically meaningful diagnostic changes that led to treatment change. RESULTS Of 120 cases, forty-two had clinically meaningful changes in treatment with positive expected outcomes (7 colorectal, 17 head and neck, 11 lung, 7 myeloma; 23-57%). Two patients had negative expected outcomes from having sought a second opinion, with worse short-term morbidity and unchanged long-term morbidity and prognosis. All those with positive expected outcomes had improved expected morbidity (short- and/or long-term); 11 (0-23%) also had improved expected prognosis. Nine involved a shift from treatment to observation; 21 involved eliminating or reducing the extent of surgery, compared to 6 adding surgery or increasing its extent. Of the 42 with treatment changes, 13 were due to clinically meaningful diagnostic changes (1 colorectal, 5 head and neck, 3 lung, 4 myeloma; 3%-17%) . CONCLUSIONS Second-opinion consultations sometimes add clinical value by improving expected prognoses; more often, they offer treatment de-escalations, with corresponding reductions in expected short- and/or long-term morbidity. Future research could identify subgroups of patients most likely to benefit from second opinions.
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Affiliation(s)
- Allison Lipitz-Snyderman
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Susan Chimonas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Sham Mailankody
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michelle Kim
- Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nicholas Silva
- Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anuja Kriplani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Leonard B Saltz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Smita Sihag
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Carlyn Rose Tan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Maria Widmar
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Marjorie Zauderer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Saul Weingart
- Rhode Island Hospital and Hasbro Children's Hospital, Providence, Rhode Island, USA
| | - Wendy Perchick
- Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Benjamin R Roman
- Strategy and Innovation, Memorial Sloan Kettering Cancer Center, New York, New York, USA.,Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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13
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Benini S, Gamberi G, Cocchi S, Magagnoli G, Fortunato AR, Sciulli E, Righi A, Gambarotti M. The Efficacy of Molecular Analysis in the Diagnosis of Bone and Soft Tissue Sarcoma: A 15-Year Mono-Institutional Study. Int J Mol Sci 2022; 24:ijms24010632. [PMID: 36614077 PMCID: PMC9820733 DOI: 10.3390/ijms24010632] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/23/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022] Open
Abstract
The histological diagnosis of sarcoma can be difficult as it sometimes requires the combination of morphological and immunophenotypic analyses with molecular tests. A total of 2705 tissue samples of sarcoma consecutively collected from 2006 until 2020 that had undergone molecular analysis were assessed to evaluate their diagnostic utility compared with histological assessments. A total of 3051 molecular analyses were performed, including 1484 gene fusions tested by c/qRT-PCR, 992 gene rearrangements analysed by FISH, 433 analyses of the gene status of MDM2, 126 mutational analyses and 16 NGS analysis. Of the samples analysed, 68% were from formalin-fixed, paraffin-embedded tissue and 32% were from frozen tissue. C/qRT-PCR and FISH analyses were conclusive on formalin-fixed, paraffin-embedded tissue in 74% and 76% of samples, respectively, but the combination of the two methods gave us conclusive results in 96% and 89% of frozen and formalin-fixed, paraffin-embedded tissues, respectively. We demonstrate the utility of c/qRT-PCR and FISH for sarcoma diagnosis and that each has advantages in specific contexts. We conclude that it is possible to accurately predict the sarcoma subtype using a panel of different subtype-specific FISH probes and c/qRT-PCR assays, thereby greatly facilitating the differential diagnosis of these tumours.
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Affiliation(s)
- Stefania Benini
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | - Gabriella Gamberi
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
- Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
| | - Stefania Cocchi
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | - Giovanna Magagnoli
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | | | - Enrica Sciulli
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
| | - Alberto Righi
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
- Correspondence: ; Tel.: +39-051-636-6665
| | - Marco Gambarotti
- Department of Pathology, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy
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Daley J, Williams N, Salgado CM, Schultz C, Meade J, Ozolek J, Lindsey B, Bailey KM. Cutaneous Ewing Sarcoma Presenting as a Second Primary Malignancy in a Child. J Pediatr Hematol Oncol 2022; 44:486-488. [PMID: 35426856 PMCID: PMC9562594 DOI: 10.1097/mph.0000000000002457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/24/2022] [Indexed: 01/26/2023]
Abstract
Ewing sarcoma is an EWS-ETS family member-driven malignancy that most commonly arises from bone. Cutaneous Ewing sarcoma is a rare variant which harbors an EWS-ETS family fusion but demonstrates an immunohistochemical staining pattern distinct from classic Ewing tumors. EWSR1 fluorescence in situ hybridization testing interpretation can be challenging in the setting of cutaneous Ewing sarcoma, making an integrated histologic and sequencing approach key for an accurate diagnosis. Here, we report a pediatric patient with a history of neuroblastoma treated with surgery only that developed a cutaneous nodule and was diagnosed with cutaneous Ewing sarcoma as a second primary cancer.
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Affiliation(s)
- Jessica Daley
- Department of Pediatrics, Division of Pediatric Oncology, University of Pittsburgh School of Medicine
| | | | | | - Charles Schultz
- Department of Pathology, West Virginia University School of Medicine
| | - Julia Meade
- Department of Pediatrics, Division of Pediatric Oncology, University of Pittsburgh School of Medicine
| | - John Ozolek
- Department of Pathology, West Virginia University School of Medicine
| | - Brock Lindsey
- Department of Orthopaedics, West Virginia University School of Medicine
| | - Kelly M. Bailey
- Department of Pediatrics, Division of Pediatric Oncology, University of Pittsburgh School of Medicine
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15
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Vats K, Spafford M, Groot G, Graham P, Banerjee T, Deobald R, Osmond A. Moving towards the optimization of diagnosis for patients with sarcoma: A 10-year review of externally consulted sarcoma cases in a general anatomical pathology service. Ann Diagn Pathol 2022; 60:151958. [DOI: 10.1016/j.anndiagpath.2022.151958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 04/23/2022] [Indexed: 11/28/2022]
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16
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Yoshida H, Kikuchi A, Tsuda H, Sakamoto A, Fukunaga M, Kaku T, Yoshida M, Shikama A, Kogata Y, Terao Y, Tanikawa M, Yasuoka T, Chiyoda T, Miyamoto T, Okadome M, Nakamura T, Enomoto T, Konno Y, Yahata H, Hirata Y, Aoki Y, Tokunaga H, Usui H, Yaegashi N. Discrepancies in pathological diagnosis of endometrial stromal sarcoma: a multi-institutional retrospective study from the Japanese Clinical Oncology Group. Hum Pathol 2022; 124:24-35. [PMID: 35339567 DOI: 10.1016/j.humpath.2022.03.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 11/04/2022]
Abstract
Endometrial stromal sarcoma (ESS) is a rare uterine malignancy that requires accurate pathological diagnosis for proper treatment. This study aimed to clarify the discrepancies in the pathological diagnosis of ESS and obtain practical clues to improve diagnostic accuracy. Between 2002 and 2015, 148 patients with low-grade ESS (LGESS), high-grade ESS (HGESS), undifferentiated endometrial sarcoma (UES), or undifferentiated uterine sarcoma (UUS) diagnosed at 31 institutions were included. We performed immunohistochemistry, real-time polymerase chain reaction for JAZF1-SUZ12 and YWHAE-NUTM2A/B, and break-apart fluorescent in situ hybridization for JAZF1, PHF1, and YWHAE. Central pathology review (CPR) was performed by six pathologists. After CPR, LGESS, HGESS, UES/UUS, and other diagnoses were confirmed in 72, 25, 16, and 31 cases, respectively. Diagnostic discrepancies were observed in 19.6% (18/92) of LGESS and 34% (18/53) of HGESS or UUS/UES. Adenosarcomas, endometrial carcinomas, carcinosarcomas, and leiomyosarcomas were common diagnostic pitfalls. JAZF1-SUZ12 transcript, PHF1 split signal, and YWHAE-NUTM2A/B transcript were mutually exclusively detected in 23 LGESS, 3 LGESS, and 1 LGESS plus 3 HGESS, respectively. JAZF1-SUZ12 and YWHAE-NUTM2A/B transcripts were detected only in cases with CPR diagnosis of LGESS or HGESS. The CPR diagnosis of LGESS, HGESS, and UUS was a significant prognosticator, and patients with LGESS depicted a favorable prognosis, while those with UUS showed the worst prognosis. Pathological diagnosis of ESS is often challenging and certain tumors should be carefully considered. The accurate pathological diagnosis with the aid of molecular testing is essential for prognostic prediction and treatment selection.
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Affiliation(s)
- Hiroshi Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.
| | - Akira Kikuchi
- Department of Gynecology, Niigata Cancer Center Hospital, 2-15-3, Chuo-ku, Kawagishicho Niigata, 951-8566, Japan
| | - Hitoshi Tsuda
- Department of Basic Pathology, National Defense Medical College, Tokorozawa, Saitama, 359-8513, Japan
| | - Atsuhiko Sakamoto
- Department of Pathology and Laboratory Medicine, Omori Red Cross Hospital, Tokyo, 143-8527, Japan
| | - Masaharu Fukunaga
- Department of Pathology, Shin-Yurigaoka General Hospital, kawasaki, Kanagawa, 215-0026, Japan
| | - Tsunehisa Kaku
- Center for Preventive Medicine, Fukuoka Sanno Hospital, Fukuoka, 814-0001, Japan
| | - Masayuki Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan
| | - Ayumi Shikama
- Department of Obstetrics and Gynecology, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, 569-8686, Japan
| | - Yuhei Kogata
- Department of Obstetrics and Gynecology, Osaka Medical and Pharmaceutical University, Tsukuba, Osaka, 569-8686, Japan
| | - Yasuhisa Terao
- Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo, 113-8431, Japan
| | - Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Toshiaki Yasuoka
- Department of Obstetrics and Gynecology, Ehime University, Graduate School of Medicine, Toon, Ehime, 791-0295, Japan
| | - Tatsuyuki Chiyoda
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, 160-0016, Japan
| | - Tsutomu Miyamoto
- Department of Obstetrics and Gynecology, Shinshu University School of Medicine, Matsumoto, 390-8621, Japan
| | - Masao Okadome
- Gynecology Service, National Hospital Organization Kyushu Cancer Center, Fukuoka, 811-1395, Japan
| | - Toshiaki Nakamura
- Department of Obstetrics and Gynecology, Perinatal Medical Center, Kagoshima City Hospital, Kagoshima, 890-8760, Japan
| | - Takayuki Enomoto
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8510, Japan
| | - Yosuke Konno
- Department of Gynecology, Hokkaido University Hospital, Sapporo, Hokkaido, 060-8638, Japan
| | - Hideaki Yahata
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kyushu University, Fukuoka, 812-8582, Japan
| | - Yukihiro Hirata
- Department of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, 105-8461, Japan
| | - Yoichi Aoki
- Department of Obstetrics and Gynecology, Graduate School of Medicine, University of the Ryukyus, Uehara Nishihara, Okinawa, 903-0125 207, Japan
| | - Hideki Tokunaga
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
| | - Hirokazu Usui
- Department of Reproductive Medicine, Chiba University Graduate School of Medicine, Chiba, 260-8670, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, 980-8575, Japan
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18
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Alcindor T, Dumitra S, Albritton K, Thomas DM. Disparities in Cancer Care: The Example of Sarcoma-In Search of Solutions for a Global Issue. Am Soc Clin Oncol Educ Book 2021; 41:1-7. [PMID: 33770458 DOI: 10.1200/edbk_320463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Disparities in health care have an adverse effect on the outcome of disadvantaged patients with cancer. Patients may be at a disadvantage because of geographic isolation; insurance status; or racial, ethnic, or other factors. In this article, we examine how disparities affect the care of patients with sarcoma in the United States, Canada, and the Asia-Pacific region. Because of the rarity of sarcomas and their challenging diagnosis and complex treatment patterns, some professional or national guidelines stipulate that patients with sarcoma should be treated at centers of expertise by multidisciplinary teams. This recommendation, based on published evidence, is not always applicable because of various sociopolitical or patient-related factors. We are proposing solutions to overcome these obstacles in a practical and patient-centered way while acknowledging that disparities exist among countries as well as within any country.
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Affiliation(s)
| | | | | | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, Australia
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