Deep Convolutional Neural Network for Accurate Classification of Myofibroblastic Lesions on Patch-Based Images

Baranov E, Hornick JL (2020) Soft tissue Special Issue: fibroblastic and myofibroblastic neoplasms of the Head and Neck. Head Neck Pathol Springer US 14:43–58

Article  Google Scholar 

Miettinen M (2014) Immunohistochemistry of soft tissue tumours - review with emphasis on 10 markers. Histopathology 64:101–118

Article  PubMed  Google Scholar 

Carlson JW, Fletcher CD (2007) Immunohistochemistry for beta-catenin in the differential diagnosis of spindle cell lesions: analysis of a series and review of the literature. Histopathology. 51(4):509–14. https://doi.org/10.1111/j.1365-2559.2007.02794.x. Epub 2007 Aug 17. PMID: 17711447

Kim JH, Choi W, Cho HS, Lee KS, Park JK, hyung, Kim BK (2021) Surgical treatment and long-term outcomes of low-grade myofibroblastic sarcoma: a single-center case series of 15 patients. World J Surg Oncol BioMed Cent 19:1–7

CAS  Google Scholar 

Xu Y, Xu G, Wang X, Mao M, Wu H, Baklaushev VP et al (2021) Is there a role for chemotherapy and radiation in the treatment of patients with low-grade myofibroblastic sarcoma? Clin Transl Oncol 23:344–352

Article  PubMed  CAS  Google Scholar 

Robboy SJ, Gupta S, Crawford JM, Cohen MB, Karcher DS, Leonard DGB et al (2015) The pathologist workforce in the United States: II. An interactive modeling tool for analyzing future qualitative and quantitative staffing demands for services. Arch Pathol Lab Med 139:1413–1430

Article  PubMed  Google Scholar 

Renshaw AA, Gould EW (2007) Measuring errors in surgical pathology in real-life practice: defining what does and does not matter. Am J Clin Pathol 127:144–152

Article  PubMed  Google Scholar 

Konnaris MA, Brendel M, Fontana MA, Otero M, Ivashkiv LB, Wang F et al (2022) Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges. Arthritis Res Ther BioMed Cent 24:1–15

Google Scholar 

Srinidhi CL, Ciga O, Martel AL (2021) Deep neural network models for computational histopathology: a survey. Med Image Anal Elsevier B V 67:101813

Article  Google Scholar 

Fourcade A, Khonsari RH (2019) Deep learning in medical image analysis: a third eye for doctors. J Stomatol Oral Maxillofac Surg Elsevier Masson SAS 120:279–288

CAS  Google Scholar 

Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, Ghassemi M, Liu X, Reitsma JB, van Smeden M, Boulesteix AL, Camaradou JC, Celi LA, Denaxas S, Denniston AK, Glocker B, Golub RM, Harvey H, Heinze G, Hoffman MM, Kengne AP, Lam E, Lee N, Loder EW, Maier-Hein L, Mateen BA, McCradden MD, Oakden-Rayner L, Ordish J, Parnell R, Rose S, Singh K, Wynants L, Logullo P (2024) TRIPOD + AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ 385:e078378. doi: 10.1136/bmj-2023-078378. Erratum in: BMJ 385:q902. https://doi.org/10.1136/bmj.q902. PMID: 38626948; PMCID: PMC11019967

Tejani AS, Klontzas ME, Gatti AA, Mongan JT, Moy L, Park SH et al (2024) Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 update. Radiol Artif Intell 6:1–7

Article  Google Scholar 

Leonardo H, Longo C, Roberto GF, Tosta TAA, Faria PR, De, Loyola AM et al (2024) Classification of Multiple H&E Images via an Ensemble Computational Scheme

Cerdá-Alberich L, Solana J, Mallol P, Ribas G, García-Junco M, Alberich-Bayarri A et al (2023) MAIC–10 brief quality checklist for publications using artificial intelligence and medical images.

Kline TL, Kitamura F, Pan I, Korchi AM, Tenenholtz N, Moy L et al (2022) Best practices and scoring system on reviewing A.I. based medical imaging papers: part 1 classification.

Büttner M, Rokhshad R, Brinz J, Issa J, Chaurasia A, Uribe SE, Karteva T, Chala S, Tichy A, Schwendicke F (2024) Core outcomes measures in dental computer vision studies (DentalCOMS). J Dent 150:105318. https://doi.org/10.1016/j.jdent.2024.105318. Epub ahead of print. PMID: 39182639

He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit IEEE 2016–Decem:770–778

Google Scholar 

Boyce BF (2015) Whole slide imaging: uses and limitations for surgical pathology and teaching. Biotech Histochem 90:321–330

Article  PubMed  CAS  Google Scholar 

Farahani N, Parwani AV, Pantanowitz L (2015) Whole slide imaging in pathology: advantages, limitations, and emerging perspectives. Pathol Lab Med Int 7:23–33

Google Scholar 

Jo VY, Demicco EG (2022) Update from the 5th Edition of the World Health Organization Classification of Head and Neck tumors: soft tissue tumors. Head Neck Pathol Springer US 16:87–100

Article  Google Scholar 

Giraldo-Roldán D, Fernandes DT, Louredo BVR, Penafort PVM, Roza ALOC, Santos-Silva AR et al (2023) An ulcerative nodule on the dorsal tongue in an 8-year-old boy. Oral Surg Oral Med Oral Pathol Oral Radiol 136:122–127

Article  PubMed  Google Scholar 

Smith MH, Reith JD, Cohen DM, Islam NM, Sibille KT, Bhattacharyya I (2017) An update on myofibromas and myofibromatosis affecting the oral regions with report of 24 new cases. Oral surg oral Med oral pathol oral Radiol, vol 124. Elsevier Inc., pp 62–75

Priya NS, Rao K, Keerthi R, Ashwin DP (2023) Myofibroma of mandibular alveolus: a case report. J Oral Maxillofac Pathol 27(2):416–419. https://doi.org/10.4103/jomfp.jomfp_539_22. Epub 2023 Jul 13. PMID: 37854931; PMCID: PMC10581293

Oudijk L, den Bakker MA, Hop WCJ, Cohen M, Charles AK, Alaggio R et al (2012) Solitary, multifocal and generalized myofibromas: clinicopathological and immunohistochemical features of 114 cases. Histopathology 60:1–11

Article  Google Scholar 

Lopes RN, de Abreu Alves F, Rocha AC, Suassuna TM, Kowalski LP, de Castro JFL et al (2015) Head and neck solitary infantile myofibroma: clinicopathological and immunohistochemical features of a case series. Acta Histochem Elsevier GmbH 117:431–436

Article  CAS  Google Scholar 

de Souza Azevedo R, Pires FR, Coletta R, de Della OP, Kowalski LP, Lopes MA (2008) Oral myofibromas: report of two cases and review of clinical and histopathologic differential diagnosis. Oral surgery. Oral Med Oral Pathol Oral Radiol Endodontology 105:35–40

Article  Google Scholar 

Araújo ALD, Fonsêca JM, Do Amaral-Silva GK, De Lima Morais TM, Mariz BALA, Fonseca FP et al (2021) The role of immunohistochemistry for primary oral diagnosis in a Brazilian oral pathology service. Appl Immunohistochem Mol Morphol 29:781–790

Article  PubMed  Google Scholar 

Giraldo-Roldán D, Fernandes DT, Louredo BVR, Penafort PVM, Roza ALOC, Santos-Silva AR et al (2023) An ulcerative nodule on the dorsal tongue in an 8-year-old boy. Oral Surg Oral Med Oral Pathol Oral Radiol 00:1–6

Google Scholar 

Boccalatte LA, Gómez NL, Yanzon A, Mazzaro EL, Cayol F, Figari MF (2019) Head and Neck tumors: management of primary undifferentiated pleomorphic sarcoma. Iran J Otorhinolaryngol 31:335–342

PubMed  PubMed Central  Google Scholar 

de Albuquerque RLC, Melo SLS, Bastos TS, Rocha RS, Piva MR, de Melo MFB (2015) High-grade myofibroblastic sarcoma of the mandible: case report in a child and literature review. Oral Surg 8(2):91–95. https://doi.org/10.1111/ors.12128

Maruyama T, Nakasone T, Nimura F, Matayoshi A, Kawano T, Nishihara K et al (2017) Indolent growth of low-grade myofibroblastic sarcoma of the cheek mimics benign lesions: a case report and literature review. Oncol Lett 13:4307–4314

Article  PubMed  PubMed Central  Google Scholar 

Giraldo D, Brendo R, Rodrigues V, Paulo L, Mendes V, Antônio H et al (2023) Low – Grade Myofibroblastic Sarcoma of the oral and Maxillofacial Region: An International Clinicopathologic Study of 13 cases and literature review. Head Neck Pathol. Springer US

Mentzel TMD, Dry, Sarah MD, Katenkamp, Detlef MD, Fletcher, Christopher DM (1998) M.D. FRCP. Low-Grade Myofibroblastic Sarcoma Analysis of 18 cases in the spectrum of myofibroblastic tumors. Am J Surg Pathol 22:1228–1238

Article  PubMed  CAS  Google Scholar 

Jayasooriya PR, Athukorala C, Attygalla M, Mendis BRRN, Lombardi T (2021) Low-Grade Myofibroblastic Sarcoma of the oral cavity: a report of three cases illustrating an emerging disease in children. Dermatopathology 8:1–9

Article  PubMed  PubMed Central  Google Scholar 

Chan JYK, Gooi Z, Wong EWY, Ng SK, Tong MCF, Vlantis AC (2017) Low-grade myofibroblastic sarcoma: a population-based study. Laryngoscope 127:116–121

Article  PubMed  Google Scholar 

Wang L, Li LX, Chen DQ, Yang L, Li SKCC (2019) Low-grade myofibroblastic sarcoma: clinical and imaging findings. BMC Med Imaging BMC Med Imaging 19:1–9

Google Scholar 

Montgomery, Elizabeth MD, Goldblum JRMD, Fisher (2001) Cyril M.D. FRCP. Myofibrosarcoma A Clinicopathologic Study. Am J Surg Pathol 25:219–228

Article  Google Scholar 

Mhashal S, Dokania V, Bhargava S, Gite V, Mayashankar V, Shetty N et al (2022) S-100 Immuno-positive low Grade Myofibroblastic Sarcoma of nasal cavity: a rare case presentation and review of literature. Indian J Otolaryngol Head Neck Surg Springer India 74:1388–1395

Article  Google Scholar 

Ng TL, Gown AM, Barry TS, Cheang MCU, Chan AKW, Turbin DA et al (2005) Nuclear beta-catenin in mesenchymal tumors. Mod Pathol 18:68–74

Article  PubMed  CAS  Google Scholar 

Hornick JL (2014) Novel uses of immunohistochemistry in the diagnosis and classification of soft tissue tumors. Mod Pathol United States Can Acad Pathol 27:S47–63

CAS  Google Scholar 

Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) ImageNet: a large-scale hierarchical image database. In: IEEE conference on computer vision and pattern recognition (CVPR), Miami. https://doi.org/10.1109/CVPR.2009.5206848

Google Scholar 

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM et al (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115–118

Article  PubMed  PubMed Central  CAS  Google Scholar 

Yasaka K, Akai H, Abe O, Kiryu S (2018) Deep learning with CNN showed high diagnostic performance in differentiation of liver masses at dynamic CT. Radiology 286:887–896

Article  PubMed  Google Scholar 

Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH et al (2019) Development and validation of a deep learning-based automated detection algorithm for major thoracic diseases on chest radiographs. JAMA Netw open 2:e191095

Article  PubMed  PubMed Central  Google Scholar 

Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK (2018) Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study. PLoS Med 15:1–17

Article  Google Scholar 

Sendak M, Gao M, Nichols M, Lin A, Balu S (2019) Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities. eGEMs (Generating Evid Methods to Improv patient outcomes) 7:1

留言 (0)

沒有登入
gif