{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T08:04:41Z","timestamp":1777363481729,"version":"3.51.4"},"reference-count":57,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T00:00:00Z","timestamp":1630281600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Malignant pleural mesothelioma is a rare neoplasm with poor prognosis. CT is the first imaging technique used for diagnosis, staging, and assessment of therapy response. Although, CT has intrinsic limitations due to low soft tissue contrast and the current staging system as well as criteria for evaluating response, it does not consider the complex growth pattern of this tumor. Computer-based methods have proven their potentiality in diagnosis, staging, prognosis, and assessment of therapy response; moreover, computer-based methods can make feasible tasks like segmentation that would otherwise be impracticable. MRI, thanks to its high soft tissue contrast evaluation of contrast enhancement and through diffusion-weighted-images, could replace CT in many clinical settings.<\/jats:p>","DOI":"10.3390\/cancers13174377","type":"journal-article","created":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T11:01:37Z","timestamp":1630321297000},"page":"4377","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["New Updates of the Imaging Role in Diagnosis, Staging, and Response Treatment of Malignant Pleural Mesothelioma"],"prefix":"10.3390","volume":"13","author":[{"given":"Chiara","family":"Romei","sequence":"first","affiliation":[{"name":"2nd Radiology Unit, Radiology Department, Pisa University Hospital, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salvatore Claudio","family":"Fanni","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Federica","family":"Volpi","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessio","family":"Milazzo","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caterina Aida","family":"D\u2019Amore","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6217-4933","authenticated-orcid":false,"given":"Leonardo","family":"Colligiani","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7950-4559","authenticated-orcid":false,"given":"Emanuele","family":"Neri","sequence":"additional","affiliation":[{"name":"Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annalisa","family":"De Liperi","sequence":"additional","affiliation":[{"name":"2nd Radiology Unit, Radiology Department, Pisa University Hospital, 56124 Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0929-4394","authenticated-orcid":false,"given":"Giulia Maria","family":"Stella","sequence":"additional","affiliation":[{"name":"Unit of Respiratory Diseases, Department of Medical Sciences and Infective Diseases, IRCCS Policlinico San Matteo Foundation, University of Pavia Medical School, 27100 Pavia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9193-9309","authenticated-orcid":false,"given":"Chandra","family":"Bortolotto","sequence":"additional","affiliation":[{"name":"Unit of Radiology, Department of Intensive Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia Medical School, 27100 Pavia, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1007\/s11864-008-0067-z","article-title":"Mesothelioma Epidemiology, Carcinogenesis, and Pathogenesis","volume":"9","author":"Yang","year":"2008","journal-title":"Curr. Treat. Options Oncol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"402","DOI":"10.3322\/caac.21572","article-title":"Mesothelioma: Scientific clues for prevention, diagnosis, and therapy","volume":"69","author":"Carbone","year":"2019","journal-title":"CA A Cancer J. Clin."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"S28","DOI":"10.21037\/tlcr.2019.11.11","article-title":"Epidemiology of mesothelioma in the 21st century in Europe and the United States, 40 years after restricted\/banned asbestos use","volume":"9","author":"Alpert","year":"2020","journal-title":"Transl. Lung Cancer Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1183\/09059180.00007014","article-title":"Malignant pleural mesothelioma: History, controversy and future of a manmade epidemic","volume":"24","author":"Stella","year":"2015","journal-title":"Eur. Respir. 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J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1378\/chest.118.3.604","article-title":"MRI and CT in the Differential Diagnosis of Pleural Disease","volume":"118","author":"Hierholzer","year":"2000","journal-title":"Chest"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1148\/radiol.12110872","article-title":"Malignant Pleural Disease: Diagnosis by Using Diffusion-weighted and Dynamic Contrast-enhanced MR Imaging\u2014Initial Experience","volume":"263","author":"Coolen","year":"2012","journal-title":"Radiology"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.lungcan.2018.01.014","article-title":"Early Contrast Enhancement: A novel magnetic resonance imaging biomarker of pleural malignancy","volume":"118","author":"Tsim","year":"2018","journal-title":"Lung Cancer"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"20160289","DOI":"10.1259\/bjr.20160289","article-title":"Role of respiratory-triggered diffusion-weighted MRI in the assessment of pleural disease","volume":"89","author":"Revelli","year":"2016","journal-title":"Br. J. Radiol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.lungcan.2015.08.012","article-title":"Response evaluation in mesothelioma: Beyond RECIST","volume":"90","author":"Cheng","year":"2015","journal-title":"Lung Cancer"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.athoracsur.2016.06.069","article-title":"A Multicenter Study of Volumetric Computed Tomography for Staging Malignant Pleural Mesothelioma","volume":"102","author":"Rusch","year":"2016","journal-title":"Ann. Thorac. Surg."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"81916","DOI":"10.1118\/1.4810940","article-title":"Variability of tumor area measurements for response assessment in malignant pleural mesothelioma","volume":"40","author":"Labby","year":"2013","journal-title":"Med. Phys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.lungcan.2020.09.025","article-title":"A comparison between MRI and CT in the assessment of primary tumour volume in mesothelioma","volume":"150","author":"Tsim","year":"2020","journal-title":"Lung Cancer"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/S0022-5223(98)70274-0","article-title":"Preoperative Tumor Volume Is Associated With Outcome In Malignant Pleural Mesothelioma","volume":"115","author":"Pass","year":"1998","journal-title":"J. Thorac. Cardiovasc. Surg."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"311","DOI":"10.2214\/AJR.18.20111","article-title":"Whole-Body MRI: Comparison of Its Capability for TNM Staging of Malignant Pleural Mesothelioma with That of Coregistered PET\/MRI, Integrated FDG PET\/CT, and Conventional Imaging","volume":"212","author":"Ohno","year":"2019","journal-title":"Am. J. Roentgenol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.2214\/ajr.172.4.10587144","article-title":"Staging of malignant pleural mesothelioma: Comparison of CT and MR imaging","volume":"172","author":"Heelan","year":"1999","journal-title":"Am. J. Roentgenol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s00408-016-9909-9","article-title":"Applications of Magnetic Resonance Imaging of the Thorax in Pleural Disea-ses: A State-of-the-Art Review","volume":"194","author":"Souza","year":"2016","journal-title":"Lung"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1160\/ME9050","article-title":"Computer-assisted Diagnosis for Early Stage Pleural Mesothelioma","volume":"46","author":"Chaisaowong","year":"2007","journal-title":"Methods Inf. Med."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/j.acra.2017.03.006","article-title":"Can CT and MR Shape and Textural Features Differentiate Benign Versus Malignant Pleural Lesions?","volume":"24","author":"Pena","year":"2017","journal-title":"Acad. Radiol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1080\/0284186X.2018.1445283","article-title":"Influence of inter-observer delineation variability on radiomics stability in different tumor sites","volume":"57","author":"Pavic","year":"2018","journal-title":"Acta Oncol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"359","DOI":"10.2214\/AJR.11.7015","article-title":"Epithelial Malignant Pleural Mesothelioma After Extrapleural Pneumonectomy: Stratification of Survival With CT-Derived Tumor Volume","volume":"198","author":"Gill","year":"2012","journal-title":"Am. J. Roentgenol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13550-020-00669-3","article-title":"FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients","volume":"10","author":"Pavic","year":"2020","journal-title":"EJNMMI Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1093\/annonc\/mds535","article-title":"Disease volumes as a marker for patient response in malignant pleural mesothelioma","volume":"24","author":"Labby","year":"2012","journal-title":"Ann. Oncol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"879","DOI":"10.1097\/JTO.0b013e3181dd0ef1","article-title":"Assessment of Therapy Responses and Prediction of Survival in Malignant Pleural Mesothelioma Through Computer-Aided Volumetric Measurement on Computed Tomography Scans","volume":"5","author":"Liu","year":"2010","journal-title":"J. Thorac. Oncol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1183\/09031936.00146110","article-title":"Volumetry: An alternative to assess therapy response for malignant pleural mesothelioma?","volume":"38","author":"Frauenfelder","year":"2011","journal-title":"Eur. Respir. J."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1118\/1.1688211","article-title":"Measurement of mesothelioma on thoracic CT scans: A comparison of manual and computer-assisted techniques","volume":"31","author":"Armato","year":"2004","journal-title":"Med. Phys."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1016\/j.acra.2005.05.021","article-title":"Evaluation of Semiautomated Measurements of Mesothelioma Tumor Thickness on CT Scans1","volume":"12","author":"Armato","year":"2005","journal-title":"Acad. Radiol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1118\/1.3525836","article-title":"Computerized segmentation and measurement of malignant pleural mesothelioma","volume":"38","author":"Sensakovic","year":"2010","journal-title":"Med. Phys."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s11548-016-1511-3","article-title":"Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based method","volume":"12","author":"Chen","year":"2016","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"13033","DOI":"10.1007\/s11042-018-6400-z","article-title":"The pleural thickening approximation from thoracic CT scans","volume":"78","author":"Brahim","year":"2018","journal-title":"Multimed. Tools Appl."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"34503","DOI":"10.1117\/1.JMI.5.3.034503","article-title":"Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans","volume":"5","author":"Gudmundsson","year":"2018","journal-title":"J. Med. Imaging"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"12705","DOI":"10.1117\/1.JMI.7.1.012705","article-title":"Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: Application to scans demonstrating pleural effusion","volume":"7","author":"Gudmundsson","year":"2020","journal-title":"J. Med. Imaging"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.lungcan.2014.11.019","article-title":"Radiologic\u2013pathologic correlation of mesothelioma tumor volume","volume":"87","author":"Armato","year":"2015","journal-title":"Lung Cancer"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1016\/j.jtho.2016.04.027","article-title":"North American Multicenter Volumetric CT Study for Clinical Staging of Malignant Pleural Mesothelioma: Feasibility and Logistics of Setting Up a Quantitative Imaging Study","volume":"11","author":"Gill","year":"2016","journal-title":"J. Thorac. Oncol."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1093\/jnci\/djx175","article-title":"Quantitative Clinical Staging for Patients With Malignant Pleural Mesothelioma","volume":"110","author":"Gill","year":"2017","journal-title":"J. Natl. Cancer Inst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2512","DOI":"10.1016\/j.jtcvs.2019.11.035","article-title":"Preoperative prediction of unresectability in malignant pleural mesothelioma","volume":"159","author":"Burt","year":"2020","journal-title":"J. Thorac. Cardiovasc. Surg."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Brahim, W., Mestiri, M., Betrouni, N., and Hamrouni, K. (2017, January 22\u201324). Malignant pleural mesothelioma segmentation from thoracic CT scans. Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Fez, Morocco.","DOI":"10.1109\/ATSIP.2017.8075605"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"92","DOI":"10.2478\/v10019-010-0027-7","article-title":"3T MRI in evaluation of asbestos-related thoracic diseases\u2013preliminary results","volume":"44","author":"Podobnik","year":"2010","journal-title":"Radiol. Oncol."},{"key":"ref_39","first-page":"502","article-title":"Evaluation of pleural disease using MR and CT. With special reference to malignant pleural mesothelioma","volume":"42","author":"Knuuttila","year":"2001","journal-title":"Acta Radiol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"18","DOI":"10.5271\/sjweh.378","article-title":"Magnetic resonance appearance of asbestos-related benign and malignant pleural diseases","volume":"25","author":"Boraschi","year":"1999","journal-title":"Scand. J. Work. Environ. Health"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1148\/radiol.14132111","article-title":"Malignant Pleural Mesothelioma: Visual Assessment by Using Pleural Pointillism at Diffusion-weighted MR Imaging","volume":"274","author":"Coolen","year":"2015","journal-title":"Radiology"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"44","DOI":"10.5152\/etd.2017.16045","article-title":"The Role of Diffusion-Weighted MR Imaging in Detecting Malignant and Benign Pleural Thickening in Asbestos-Related Pleural Diseases","volume":"39","author":"Koc","year":"2017","journal-title":"Erciyes Med. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"W125","DOI":"10.2214\/AJR.09.3519","article-title":"Diffusion-Weighted MRI of Malignant Pleural Mesothelioma: Preliminary Assessment of Apparent Diffusion Coefficient in Histologic Subtypes","volume":"195","author":"Gill","year":"2010","journal-title":"Am. J. Roentgenol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s11548-009-0356-4","article-title":"Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display","volume":"4","author":"Mehndiratta","year":"2009","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1570","DOI":"10.1378\/chest.129.6.1570","article-title":"Dynamic Contrast-Enhanced MRI of Malignant Pleural Mesothelioma","volume":"129","author":"Giesel","year":"2006","journal-title":"Chest"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1007\/s00330-008-0918-9","article-title":"Therapy response in malignant pleural mesothelioma-role of MRI using RECIST, modified RECIST and volumetric approaches in comparison with CT","volume":"18","author":"Plathow","year":"2008","journal-title":"Eur. Radiol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1097\/RLI.0b013e3181817b3d","article-title":"Computed Tomography, Positron Emission Tomography, Positron Emission Tomography\/Computed Tomography, and Magnetic Resonance Imaging for Staging of Limited Pleural Mesothelioma","volume":"43","author":"Plathow","year":"2008","journal-title":"Investig. Radiol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1016\/S1010-7940(03)00609-2","article-title":"Is there a role for pre-operative contrast-enhanced magnetic resonance imaging for radical surgery in malignant pleural mesothelioma?","volume":"24","author":"Stewart","year":"2003","journal-title":"Eur. J. Cardio-Thoracic Surg."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/s40644-019-0189-5","article-title":"Dynamic contrast-enhanced MRI of malignant pleural mesothelioma: A comparative study of pharmacokinetic models and correlation with mRECIST criteria","volume":"19","author":"Bisdas","year":"2019","journal-title":"Cancer Imaging"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Usuda, K., Iwai, S., Funasaki, A., Sekimura, A., Motono, N., Matoba, M., Doai, M., Yamada, S., Ueda, Y., and Uramoto, H. (2019). Diffusion-Weighted Imaging Can Differentiate between Malignant and Benign Pleural Diseases. Cancers, 11.","DOI":"10.3390\/cancers11060811"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"963","DOI":"10.2214\/ajr.166.4.8610582","article-title":"Usefulness of MR signal intensity in distinguishing benign from malignant pleural disease","volume":"166","author":"Falaschi","year":"1996","journal-title":"Am. J. Roentgenol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/S0169-5002(98)00083-X","article-title":"The clinical importance of magnetic resonance imaging versus computed tomography in malignant pleural mesothelioma","volume":"22","author":"Knuuttila","year":"1998","journal-title":"Lung Cancer"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"487","DOI":"10.2214\/ajr.154.3.2106209","article-title":"CT in differential diagnosis of diffuse pleural disease","volume":"154","author":"Leung","year":"1990","journal-title":"Am. J. Roentgenol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1002\/cncr.24886","article-title":"Proposed adjustments to pathologic staging of epithelial malignant pleural mesothelioma based on analysis of 354 cases","volume":"116","author":"Richards","year":"2010","journal-title":"Cancer"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0720-048X(02)00303-0","article-title":"Basic principles of diffusion-weighted imaging","volume":"45","author":"Bammer","year":"2003","journal-title":"Eur. J. Radiol."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"El Kady, R.M., Choudhary, A.K., and Tappouni, R. (2011). Accuracy of Apparent Diffusion Coefficient Value Measurement on PACS Workstation: A Comparative Analysis. Am. J. Roentgenol., 196.","DOI":"10.2214\/AJR.10.4706"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2344","DOI":"10.21037\/jtd.2017.07.86","article-title":"The value of delayed phase enhanced imaging in malignant pleural mesothelioma","volume":"9","author":"Patel","year":"2017","journal-title":"J. Thorac. 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