1
|
Gill RR, Richards WG, Heiling H, Mazzola E, Hung YP, Seethamraju RT, Chirieac LR, Bueno R. Predictive potential of MRI in differentiating the predominant component in biphasic pleural mesothelioma. Eur J Radiol 2024; 176:111527. [PMID: 38810438 DOI: 10.1016/j.ejrad.2024.111527] [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: 03/05/2024] [Revised: 04/30/2024] [Accepted: 05/23/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE To assess the potential of apparent diffusion coefficient (ADC) values derived from diffusion weighted (DW) MRI preoperatively to predict the predominant histologic component among biphasic pleural mesothelioma (PM) tumors. METHODS ADC maps were generated from DW MRI scans. Histology and predominant component of biphasic PM were confirmed following surgical resection. Statistical analyses were done with R (R Foundation for Statistical Computing, Vienna, Austria). Average ADC values corresponding to epithelioid- and sarcomatoid-predominant tumors were compared. ADC thresholding was accomplished by recursive partitioning and confirmed with ROC analysis. RESULTS Eighty-four patients with biphasic PM's, 69 (82 %) epithelioid-predominant (BE) and 15(18 %) sarcomatoid-predominant (BS) tumors were evaluated. Thirty-eight (45 %) patients underwent extrapleural pneumonectomy (EPP), 39 (46 %) had extended pleural decortication (ePDC) and 7 (8 %) had pleural decortication (PDC). ADC values ranged between 0.696 x 10-3 to 1.921 x 10-3 mm2/s. BE tumors demonstrated significantly higher ADC values than BS tumors (p = 0.026). ADC values above 0.94 x 10-3 mm2/s were associated with a significant increase of relative risk of being in group BE over group BS (relative risk: 1.47, 95 %CI: 1.05-2.06, p = 0.027) CONCLUSION: Average ADC values of BE tumors were higher than BS tumors and the two groups can be separated by a cut off value of 0.94 X 10-3 mm2/s.
Collapse
Affiliation(s)
- Ritu R Gill
- Beth Israel Deaconess Medical Center, Boston, MA, United States.
| | | | | | | | - Yin P Hung
- Masschussets General Hospital, Boston, MA, United States
| | | | | | - Raphael Bueno
- Brigham and Women's Hospital, Boston, MA, United States
| |
Collapse
|
2
|
Chung M, Ton L, Lee AY. Forget Me Not: Incidental Findings on Breast MRI. JOURNAL OF BREAST IMAGING 2024:wbae023. [PMID: 38758984 DOI: 10.1093/jbi/wbae023] [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: 09/02/2023] [Indexed: 05/19/2024]
Abstract
With the growing utilization and expanding role of breast MRI, breast imaging radiologists may encounter an increasing number of incidental findings beyond the breast and axilla. Breast MRI encompasses a large area of anatomic coverage extending from the lower neck to the upper abdomen. While most incidental findings on breast MRI are benign, identifying metastatic disease can have a substantial impact on staging, prognosis, and treatment. Breast imaging radiologists should be familiar with common sites, MRI features, and breast cancer subtypes associated with metastatic disease to assist in differentiating malignant from benign findings. Furthermore, detection of malignancies of nonbreast origin as well as nonmalignant, but clinically relevant, incidental findings can significantly impact clinical management and patient outcomes. Breast imaging radiologists should consistently follow a comprehensive search pattern and employ techniques to improve the detection of these important incidental findings.
Collapse
Affiliation(s)
- Maggie Chung
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Lauren Ton
- School of Medicine, University of California, San Francisco, CA, USA
| | - Amie Y Lee
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| |
Collapse
|
3
|
Christopher DJ, Gupta R, Thangakunam B, Daniel J, Jindal SK, Kant S, Chhajed PN, Gupta KB, Dhooria S, Chaudhri S, Chaudhry D, Patel D, Mehta R, Chawla RK, Srinivasan A, Kumar A, Bal SK, James P, Roger SJ, Nair AA, Katiyar SK, Agarwal R, Dhar R, Aggarwal AN, Samaria JK, Behera D, Madan K, Singh RB, Luhadia SK, Sarangdhar N, Souza GD, Nene A, Paul A, Varghese V, Rajagopal TV, Arun M, Nair S, Roy AD, Williams BE, Christopher SA, Subodh DV, Sinha N, Isaac B, Oliver AA, Priya N, Deva J, Chandy ST, Kurien RB. Pleural effusion guidelines from ICS and NCCP Section 1: Basic principles, laboratory tests and pleural procedures. Lung India 2024; 41:230-248. [PMID: 38704658 PMCID: PMC11093145 DOI: 10.4103/lungindia.lungindia_33_24] [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: 01/25/2024] [Revised: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 05/06/2024] Open
Abstract
Pleural effusion is a common problem in our country, and most of these patients need invasive tests as they can't be evaluated by blood tests alone. The simplest of them is diagnostic pleural aspiration, and diagnostic techniques such as medical thoracoscopy are being performed more frequently than ever before. However, most physicians in India treat pleural effusion empirically, leading to delays in diagnosis, misdiagnosis and complications from wrong treatments. This situation must change, and the adoption of evidence-based protocols is urgently needed. Furthermore, the spectrum of pleural disease in India is different from that in the West, and yet Western guidelines and algorithms are used by Indian physicians. Therefore, India-specific consensus guidelines are needed. To fulfil this need, the Indian Chest Society and the National College of Chest Physicians; the premier societies for pulmonary physicians came together to create this National guideline. This document aims to provide evidence based recommendations on basic principles, initial assessment, diagnostic modalities and management of pleural effusions.
Collapse
Affiliation(s)
| | - Richa Gupta
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | | | - Jefferson Daniel
- Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | | | - Surya Kant
- Department of Respiratory Medicine, King George’s Medical University, Lucknow, UP, India
| | - Prashant N. Chhajed
- Centre for Chest and Respiratory Diseases, Nanavati Max Super Specialty Hospital, Mumbai, Maharashtra, India
| | - K B Gupta
- Department of Respiratory Medicine, Eras Medical College, Lucknow, Uttar Pradesh, India
| | - Sahajal Dhooria
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sudhir Chaudhri
- Department of Respiratory Medicine, Rama Medical College, Kanpur, Uttar Pradesh, India
| | - Dhruva Chaudhry
- Department of Pulmonary and Critical Care Medicine, University of Health Sciences Rohtak, Haryana, India
| | - Dharmesh Patel
- City Clinic and Bhailal Amin General Hospital, Vadodara, Gujarat, India
| | - Ravindra Mehta
- VAAYU Chest and Sleep Services and VAAYU Pulmonary Wellness and Rehabilitation Center, Bengaluru, Karnataka, India
| | - Rakesh K. Chawla
- Department of Respiratory Medicine Critical Care and Sleep Disorders, Jaipur Golden Hospital and Saroj Super Specialty Hospital, Delhi, India
| | - Arjun Srinivasan
- Centre for Advanced Pulmonary Interventions, Royal Care Hospital, Coimbatore, Tamil Nadu, India
| | - Arvind Kumar
- Institute of Chest Surgery, Chest Onco Surgery and Lung Transplantation and Medanta Robotic Institute, Medanta-the Medicity, Gurugram, Haranya, India
| | - Shakti K. Bal
- Department of Pulmonary Medicine, AIIMS Bhubaneswar, Odisha, India
| | - Prince James
- Interventional Pulmonology and Respiratory Medicine, Naruvi Hospital, Vellore, Tamil Nadu, India
| | - S Jebin Roger
- Department of Respiratory Medicine, Apollo Hospital, Chennai, Tamil Nadu, India
| | | | - S K Katiyar
- Department of Tuberculosis and Respiratory Diseases, G.S.V.M. Medical College, Kanpur, Uttar Pradesh, India
| | - Ritesh Agarwal
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Raja Dhar
- Department of Pulmonology, C K Birla Hospitals, Kolkata, West Bengal, India
| | - Ashutosh N. Aggarwal
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - J K Samaria
- Department of Chest Diseases, IMS, B.H.U., Varanasi, Uttar Pradesh, India
| | - Digambar Behera
- Department of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Karan Madan
- Department of Pulmonary, Critical Care and Sleep Medicine, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi, India
| | - Raj B Singh
- Department of Respiratory Medicine, Apollo Hospital, Chennai, Tamil Nadu, India
| | - S K Luhadia
- Department of Respiratory Medicine, Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India
| | | | - George D’ Souza
- Department of Pulmonary Medicine, St. John’s Medical College, Bangalore, Karnataka, India
| | - Amita Nene
- Department of Respiratory Medicine, Bombay Hospital India, Mumbai, Maharashtra, India
| | - Akhil Paul
- Department of Pulmonary Medicine, MOSC Medical Mission Hospital, Thrissur, Kerala, India
| | - Vimi Varghese
- Department of Heart and Lung Transplant, Yashoda Hospitals, Hyderabad, Telangana, India
| | - T V Rajagopal
- SKS Hospital and Post Graduate Medical Institute, Salem, Tamil Nadu, India
| | - M Arun
- Department of Respiratory Medicine, Meenakshi Hospital, Thanjavur, Tamil Nadu, India
| | - Shraddha Nair
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - A Dhivya Roy
- Kanyakumari Medical Mission, CSI Mission Hospital, Neyyoor, Tamil Nadu, India
| | - Benjamin E. Williams
- Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - Shona A. Christopher
- Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - Dhanawade V. Subodh
- Division of Critical Care Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - Nishant Sinha
- Department of Pulmonary Medicine, Continental Hospitals, Financial District, Hyderabad, Telangana, India
| | - Barney Isaac
- Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - A Ashwin Oliver
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - N Priya
- Department of Pulmonary Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | | | - Sujith T. Chandy
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| | - Richu Bob Kurien
- Department of Respiratory Medicine, Christian Medical College, Vellore, Tamil Nadu, India
| |
Collapse
|
4
|
Arcuri PP, Aiello V, Severo C, Cascini GL, Gallucci S, Laganà D. A case of pleural lipoma evaluated with multi-imaging methods. Radiol Case Rep 2024; 19:97-102. [PMID: 38028305 PMCID: PMC10630555 DOI: 10.1016/j.radcr.2023.10.005] [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: 08/16/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 12/01/2023] Open
Abstract
We reported a rare case of patient affected by pleural lipoma, studied with ultrasound, X-rays, CT, and MRI examination, with both conventional and functional MR imaging modality (DWI), in order to highlight the diagnostic contribution of the DWI sequence. It is necessary to make an adequate evaluation with dedicated imaging to make a correct differential diagnosis from the corresponding malignant forms which would require more radical treatment. In this case we evaluated the effectiveness of the DWI sequence in reaching the correct diagnosis. DWI highlighted the absence of restriction signal, both in the lesion and in any contextual nodules. ADC map revealed a mean ADC value= 0.38 × 10-3 mm2/s. indicative for benign lesion (lipoma). In our case, The DWI/ADC sequence has contributed to orienting us towards the correct diagnosis representing an added value by showing both the absence of restriction nodules related to the lesion as well as an ADC value compatible with lipoma. Therefore, it is suggested to include the DWI sequence in the protocol for MRI evaluation of pleural masses.
Collapse
Affiliation(s)
- Pier Paolo Arcuri
- Radiology Unit “De Lellis”, Renato Dulbecco University Hospital, 88100, Catanzaro, Italy
| | - Vincenzo Aiello
- Rheumatology Clinic “Madonna dello Scoglio” Cotronei, 88836 Crotone, Italy
| | - Cesare Severo
- Radiology Unit “De Lellis”, Renato Dulbecco University Hospital, 88100, Catanzaro, Italy
| | - Giuseppe Lucio Cascini
- Nuclear Medicine Unit, Dulbecco University Hospital, 88100, Catanzaro, Italy
- Department of Experimental and Clinical Medicine, ‘Magna Graecia’ University of Catanzaro, 88100, Catanzaro, Italy
| | - Samuele Gallucci
- School of Medicine, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Domenico Laganà
- Department of Experimental and Clinical Medicine, ‘Magna Graecia’ University of Catanzaro, 88100, Catanzaro, Italy
- Radiology Unit, Dulbecco University Hospital, 88100 Catanzaro, Italy
| |
Collapse
|
5
|
Szczyrek M, Bitkowska P, Jutrzenka M, Szudy-Szczyrek A, Drelich-Zbroja A, Milanowski J. Pleural Neoplasms-What Could MRI Change? Cancers (Basel) 2023; 15:3261. [PMID: 37370871 PMCID: PMC10296582 DOI: 10.3390/cancers15123261] [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: 04/06/2023] [Revised: 05/16/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
The primary pleural neoplasms constitute around 10% of the pleural tumors. The currently recommended method for their imaging is CT which has been shown to have certain limitations. Strong development of the MRI within the last two decades has provided us with a number of sequences that could potentially be superior to CT when it comes to the pleural malignancies' detection and characterization. This literature review discusses the possible applications of the MRI as a diagnostic tool in patients with pleural neoplasms. Although selected MRI techniques have been shown to have a number of advantages over CT, further research is required in order to confirm the obtained results, broaden our knowledge on the topic, and pinpoint the sequences most optimal for pleural imaging, as well as the best methods for reading and analysis of the obtained data.
Collapse
Affiliation(s)
- Michał Szczyrek
- Department of Pneumology, Oncology and Allergology, Medical University of Lublin, 20-090 Lublin, Poland
| | - Paulina Bitkowska
- Department of Pneumology, Oncology and Allergology, Medical University of Lublin, 20-090 Lublin, Poland
| | - Marta Jutrzenka
- Collegium Medicum, University of Warmia and Mazury in Olsztyn, Aleja Warszawska 30, 11-041 Olsztyn, Poland
| | - Aneta Szudy-Szczyrek
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-090 Lublin, Poland;
| | - Anna Drelich-Zbroja
- Department of Radiology and Neuroradiology, Medical University of Lublin, 20-954 Lublin, Poland
| | - Janusz Milanowski
- Department of Pneumology, Oncology and Allergology, Medical University of Lublin, 20-090 Lublin, Poland
| |
Collapse
|
6
|
Volpi F, D’Amore CA, Colligiani L, Milazzo A, Cavaliere S, De Liperi A, Neri E, Romei C. The Use of Chest Magnetic Resonance Imaging in Malignant Pleural Mesothelioma Diagnosis. Diagnostics (Basel) 2022; 12:diagnostics12030750. [PMID: 35328305 PMCID: PMC8946868 DOI: 10.3390/diagnostics12030750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 12/10/2022] Open
Abstract
In recent years, many articles have demonstrated that magnetic resonance imaging (MRI) may be performed successfully in the study of the chest. The aim of this study was to evaluate the potential role of MRI in the differentiation of benign from malignant pleural disease with a special focus on malignant pleural mesothelioma and on MRI protocols. A systematic literature search was performed to find original articles about chest MRI in patients with either benign or malignant pleural disease. We retrieved 1246 papers and 17 studies were finally identified as being in accordance with our purpose. For a morphologic assessment, T1-weighted and T2-weighted sequences were usually performed, eventually associated with T1 post-contrast sequences for better detection of pleural lesions. Functional sequences such as Diffusion Weighting Imaging (DWI), associated with the evaluation of Apparent Diffusion Coefficient (ADC) maps, were lately and gradually introduced in chest MRI protocols and their potentiality in differentiating benign from malignant disease has been investigated by many authors. Many progresses have been performed to improve quality images and diagnostic performances of MRI. A better and early identification of pleural disease may be obtained, providing MRI as a possible tool that can differentiate malignant from benign pleural disease without using invasive procedures.
Collapse
Affiliation(s)
- Federica Volpi
- Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy; (F.V.); (C.A.D.); (L.C.); (A.M.); (E.N.)
| | - Caterina A. D’Amore
- Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy; (F.V.); (C.A.D.); (L.C.); (A.M.); (E.N.)
| | - Leonardo Colligiani
- Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy; (F.V.); (C.A.D.); (L.C.); (A.M.); (E.N.)
| | - Alessio Milazzo
- Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy; (F.V.); (C.A.D.); (L.C.); (A.M.); (E.N.)
| | - Silvia Cavaliere
- Department of Diagnostic Imaging, Diagnostic Radiology 2, Pisa University Hospital, 56124 Pisa, Italy; (S.C.); (A.D.L.)
| | - Annalisa De Liperi
- Department of Diagnostic Imaging, Diagnostic Radiology 2, Pisa University Hospital, 56124 Pisa, Italy; (S.C.); (A.D.L.)
| | - Emanuele Neri
- Department of Translational Research, Academic Radiology, University of Pisa, 56126 Pisa, Italy; (F.V.); (C.A.D.); (L.C.); (A.M.); (E.N.)
| | - Chiara Romei
- Department of Diagnostic Imaging, Diagnostic Radiology 2, Pisa University Hospital, 56124 Pisa, Italy; (S.C.); (A.D.L.)
- Correspondence:
| |
Collapse
|
7
|
Tsao AS, Pass HI, Rimner A, Mansfield AS. New Era for Malignant Pleural Mesothelioma: Updates on Therapeutic Options. J Clin Oncol 2022; 40:681-692. [PMID: 34985934 PMCID: PMC8853621 DOI: 10.1200/jco.21.01567] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 08/06/2021] [Accepted: 09/23/2021] [Indexed: 12/13/2022] Open
Abstract
Malignant pleural mesothelioma (MPM) is a rare malignancy with few treatment options. Recent advances have led to US Food and Drug Administration approvals and changes in the standard of care with a novel biomedical device approved for use with platinum-pemetrexed, and also for immunotherapy agents to be included as a frontline treatment option in unresectable disease. Although predictive biomarkers for systemic therapy are not currently in use in clinical practice, it is essential to correctly identify the MPM histology to determine an optimal treatment plan. Patients with nonepithelioid MPM may have a greater magnitude of benefit to dual immunotherapy checkpoint inhibitors and this regimen should be preferred in the frontline setting for these patients. However, all patients with MPM can derive benefit from immunotherapy treatments, and these agents should ultimately be used at some point during their treatment journey. There are ongoing studies in the frontline unresectable setting that may further define the frontline therapy space, but a critical area of research will need to focus on the immunotherapy refractory population. This review article will describe the new developments in the areas of biology with genomics and chromothripsis, and also focus on updates in treatment strategies in radiology, surgery, radiation, and medical oncology with cellular therapies. These recent innovations are generating momentum to find better therapies for this disease.
Collapse
Affiliation(s)
- Anne S. Tsao
- The University of Texas MD Anderson Cancer Center, Department of Thoracic & Head and Neck Medical Oncology, Houston, TX
| | - Harvey I. Pass
- NYU Langone Medical Center, Department of Cardiothoracic Surgery, New York, NY
| | - Andreas Rimner
- Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, NY
| | | |
Collapse
|
8
|
Curcean S, Cheng L, Picchia S, Tunariu N, Collins D, Blackledge M, Popat S, O'Brien M, Minchom A, Leach MO, Koh DM. Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations. JTO Clin Res Rep 2021; 2:100253. [PMID: 34870249 PMCID: PMC8626584 DOI: 10.1016/j.jtocrr.2021.100253] [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: 08/03/2021] [Revised: 10/22/2021] [Accepted: 10/27/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction We compared the magnetic resonance imaging total tumor volume (TTV) and median apparent diffusion coefficient (ADC) of malignant pleural mesothelioma (MPM) before and at 4 weeks after chemotherapy, to evaluate whether these are potential early markers of treatment response. Methods Diffusion-weighted magnetic resonance imaging was performed in 23 patients with MPM before and after 4 weeks of chemotherapy. The TTV was measured by semiautomatic segmentation (GrowCut) and transferred onto ADC maps to record the median ADC. Test-retest repeatability of TTV and ADC was evaluated in eight patients. TTV and median ADC changes were compared between responders and nonresponders, defined using modified Response Evaluation Criteria In Solid Tumors on computed tomography (CT) at 12 weeks after treatment. TTV and median ADC were also correlated with CT size measurement and disease survival. Results The test-retest 95% limits of agreement for TTV were -13.9% to 16.2% and for median ADC -1.2% to 3.3%. A significant increase in median ADC in responders was observed at 4 weeks after treatment (p = 0.02). Correlation was found between CT tumor size change at 12 weeks and median ADC changes at 4 weeks post-treatment (r = -0.560, p = 0.006). An increase in median ADC greater than 5.1% at 4 weeks has 100% sensitivity and 90% specificity for responders (area under the curve = 0.933, p < 0.001). There was also moderate correlation between median tumor ADC at baseline and overall survival (r = 0.45, p = 0.03). Conclusions Diffusion-weighted magnetic resonance imaging measurements of TTV and median ADC in MPM have good measurement repeatability. Increase in ADC at 4 weeks post-treatment has the potential to be an early response biomarker.
Collapse
Affiliation(s)
- Sebastian Curcean
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.,Department of Radiation Oncology, Ion Chiricuta Institute of Oncology, Cluj-Napoca, Romania.,Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Lin Cheng
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Simona Picchia
- Department of Radiology, Bordet Institute, Bruxelles, Belgium
| | - Nina Tunariu
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - David Collins
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Matthew Blackledge
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Sanjay Popat
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Mary O'Brien
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Anna Minchom
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Martin O Leach
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.,Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.,Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| |
Collapse
|
9
|
Sabri YY, Mahmoud IH, El-Gendy LT, Abd El-Mageed MR, Tadros SF. Added value of diffusion-weighted MRI in assessment of pleural lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00557-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
There are many causes of pleural disease including variable benign and malignant etiologies. DWI is a non-enhanced functional MRI technique that allows qualitative and quantitative characterization of tissues based on their water molecules diffusivity. The aim of this study was to evaluate the diagnostic value of DWI-MRI in detection and characterization of pleural diseases and its capability in differentiating benign from malignant pleural lesions.
Results
Conventional MRI was able to discriminate benign from malignant lesions by using morphological features (contour and thickness) with sensitivity 89.29%, specificity 76%, positive predictive value 89%, negative predictive value 76.92%, and accuracy 85.37%. ADC value as a quantitative parameter of DWI found that ADC values of malignant pleural diseases were significantly lower than that of benign lesions (P < 0.001). Hence, we discovered that using ADC mean value of 1.68 × 10-3 mm2/s as a cutoff value can differentiate malignant from benign pleural diseases with sensitivity 89.3%, specificity 100%, positive predictive value 100%, negative predictive value 81.2%, and accuracy 92.68% (P < 0.001).
Conclusion
Although DWI-MRI is unable to differentiate between malignant and benign pleural effusion, its combined morphological and functional information provide valid non-invasive method to accurately characterize pleural soft tissue diseases differentiating benign from malignant lesions with higher specificity and accuracy than conventional MRI.
Collapse
|
10
|
Romei C, Fanni SC, Volpi F, Milazzo A, D’Amore CA, Colligiani L, Neri E, De Liperi A, Stella GM, Bortolotto C. New Updates of the Imaging Role in Diagnosis, Staging, and Response Treatment of Malignant Pleural Mesothelioma. Cancers (Basel) 2021; 13:cancers13174377. [PMID: 34503186 PMCID: PMC8430786 DOI: 10.3390/cancers13174377] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/24/2021] [Accepted: 08/27/2021] [Indexed: 11/16/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Chiara Romei
- 2nd Radiology Unit, Radiology Department, Pisa University Hospital, 56124 Pisa, Italy;
- Correspondence: (C.R.); (S.C.F.)
| | - Salvatore Claudio Fanni
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
- Correspondence: (C.R.); (S.C.F.)
| | - Federica Volpi
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
| | - Alessio Milazzo
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
| | - Caterina Aida D’Amore
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
| | - Leonardo Colligiani
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
| | - Emanuele Neri
- Department of Translational Research, Academic Radiology, University of Pisa, 56124 Pisa, Italy; (F.V.); (A.M.); (C.A.D.); (L.C.); (E.N.)
| | - Annalisa De Liperi
- 2nd Radiology Unit, Radiology Department, Pisa University Hospital, 56124 Pisa, Italy;
| | - Giulia Maria Stella
- Unit of Respiratory Diseases, Department of Medical Sciences and Infective Diseases, IRCCS Policlinico San Matteo Foundation, University of Pavia Medical School, 27100 Pavia, Italy;
| | - Chandra Bortolotto
- Unit of Radiology, Department of Intensive Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia Medical School, 27100 Pavia, Italy;
| |
Collapse
|
11
|
Tumor and tumorlike conditions of the pleura and juxtapleural region: review of imaging findings. Insights Imaging 2021; 12:97. [PMID: 34236561 PMCID: PMC8266978 DOI: 10.1186/s13244-021-01038-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/11/2021] [Indexed: 01/09/2023] Open
Abstract
Pleural lesions form a diagnostic challenge for the radiologist. Whereas lesions can be initially detected on chest radiographs, CT and MRI imaging are the imaging modalities of choice for further characterization. In a number of cases, imaging findings can be relatively specific. In general unfortunately, imaging findings are rather aspecific. Evolution and extrathoracic imaging findings are important clues toward the diagnosis.
Collapse
|
12
|
Dipper A, Maskell N, Bibby A. Ancillary Diagnostic Investigations in Malignant Pleural Mesothelioma. Cancers (Basel) 2021; 13:cancers13133291. [PMID: 34209209 PMCID: PMC8268996 DOI: 10.3390/cancers13133291] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 06/18/2021] [Indexed: 12/13/2022] Open
Abstract
For a number of patients presenting with an undiagnosed pleural effusion, frailty, medical co-morbidity or personal choice may preclude the use of pleural biopsy, the gold standard investigation for diagnosis of malignant pleural mesothelioma (MPM). In this review article, we outline the most recent evidence on ancillary diagnostic tests which may be used to support a diagnosis of MPM where histological samples cannot be obtained or where results are non-diagnostic. Immunocytochemical markers, molecular techniques, diagnostic biomarkers and imaging techniques are discussed. No adjunctive test has a sensitivity and specificity profile to support use in isolation; however, correlation of pleural fluid cytology with relevant radiology and supplementary biomarkers can enable an MDT-consensus clinico-radiological-cytological diagnosis to be made where further invasive tests are not possible or not appropriate. Diagnostic challenges surrounding non-epithelioid MPM are recognised, and there is a critical need for reliable and non-invasive investigative tools in this population.
Collapse
|
13
|
Usuda K, Iwai S, Yamagata A, Iijima Y, Motono N, Matoba M, Doai M, Yamada S, Ueda Y, Hirata K, Uramoto H. Diffusion-weighted whole-body imaging with background suppression (DWIBS) is effective and economical for detection of metastasis or recurrence of lung cancer. Thorac Cancer 2021; 12:676-684. [PMID: 33476488 PMCID: PMC7919163 DOI: 10.1111/1759-7714.13820] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/16/2020] [Accepted: 12/16/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Diffusion-weighted whole-body imaging with background suppression (DWIBS) is used for the diagnosis and staging of cancers. The medical cost of an MR examination including DWIBS is $123, which is 80% less expensive than the cost ($798) of F18-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) examination. METHODS This study examined the efficacy of DWIBS for relapses after lung cancer resection. A total of 55 patients who had pulmonary resection of lung cancer, postoperative computed tomography (CT) every six months, and DWIBS and FDG-PET/CT (every year) were enrolled in this study. If a metastatic lesion was detected on CT scan, DWIBS and FDG-PET/CT were also used. RESULTS A total of 55 patients who underwent pulmonary resections for lung cancer, and had CT, DWIBS and FDG-PET/CT examination during follow-up after pulmonary resection were enrolled in this study. Lung cancer in 32 patients relapsed. Postoperative radiographic examinations revealed pulmonary metastases in 17 patients, bone metastases in seven, liver metastases in five, lymph node metastases in five, pleural metastases in four, metastases to the chest wall in two, brain metastases in two, adrenal gland metastasis in one, and renal metastasis in one. The mean apparent diffusion coefficient (ADC) value of the relapse was 0.9 to 1.70 × 10-3 mm2 /s. The accuracy 0.98 (54/55) of DWIBS for detecting multiple metastatic lesions was likely to be higher than 0.94 (52/55) of CT or 0.94 (52/55) of FDG-PET/CT, but there were no significant differences. CONCLUSIONS DWIBS can detect multiple metastatic lesions throughout the entire body and differentiate malignancy from benignity in only one examination. DWIBS has benefits of diagnostic accuracy and is less expensive in medical costs for the detection of a relapse. DWIBS could potentially replace FDG-PET/CT after lung cancer resection.
Collapse
Affiliation(s)
- Katsuo Usuda
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Shun Iwai
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Aika Yamagata
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Yoshihito Iijima
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Nozomu Motono
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| | - Munetaka Matoba
- Department of Radiology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Mariko Doai
- Department of Radiology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Sohsuke Yamada
- Department of Pathology and Laboratory Medicine, Kanazawa Medical University, Kahoku-gun, Japan
| | - Yoshimichi Ueda
- Department of Pathophysiological and Experimental Pathology, Kanazawa Medical University, Kahoku-gun, Japan
| | - Keiya Hirata
- MRI Center, Kanazawa Medical University, Kahoku-gun, Japan
| | - Hidetaka Uramoto
- Department of Thoracic Surgery, Kanazawa Medical University, Kahoku-gun, Japan
| |
Collapse
|
14
|
Gao W, Zhang S, Guo J, Wei X, Li X, Diao Y, Huang W, Yao Y, Shang A, Zhang Y, Yang Q, Chen X. Investigation of Synthetic Relaxometry and Diffusion Measures in the Differentiation of Benign and Malignant Breast Lesions as Compared to BI-RADS. J Magn Reson Imaging 2020; 53:1118-1127. [PMID: 33179809 DOI: 10.1002/jmri.27435] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Breast cancer is the most common malignant tumor in women and a quantitative contrast-free method is highly desirable for its diagnosis. PURPOSE To investigate the performance of quantitative MRI in differentiating malignant from benign breast lesions and to compare with the Breast Imaging Reporting and Data System (BI-RADS). STUDY TYPE Retrospective. SUBJECTS Eighty patients (56 with malignant lesions and 24 with benign lesions). FIELD STRENGTH/SEQUENCE Diffusion-weighted imaging (DWI) with a single-shot echo planar sequence and synthetic MRI with magnetic resonance image compilation (MAGiC) were performed at 3T. ASSESSMENT T1 relaxation time (T1 ), T2 relaxation time (T2 ), and proton density (PD) from synthetic MRI and apparent diffusion coefficient (ADC) from DWI were analyzed by two radiologists (Reader A, Reader B). Univariable and multivariable models were developed to optimize differentiation between malignant and benign lesions and their performances compared to BI-RADS. STATISTICAL TESTS The diagnostic performance was evaluated using multivariate logistic regression analysis and area under the receiver operating characteristic (ROC) curves (AUC). RESULTS T2 , PD, and ADC values for malignant lesions were significantly lower than those in benign breast lesions for both radiologists (all P < 0.05). The combined T2 , PD, and ADC model had the best performance for differentiating malignant and benign lesions with AUC, sensitivity, specificity, positive predictive value, and negative predictive values of 0.904, 94.6%, 87.5%, 94.6%, and 87.5%, respectively. The corresponding results for BI-RADS were no AUC, 94.6%, 75.0%, 89.8%, and 85.7%, respectively. DATA CONCLUSION The approach that combined synthetic MRI and DWI outperformed BI-RADS in the differential diagnosis of malignant and benign breast lesions and was achieved without contrast agents. This approach may serve as an alternative and effective strategy for the improvement of breast lesion differentiation. LEVEL OF EVIDENCE 3. TECHNICAL EFFICACY STAGE 3.
Collapse
Affiliation(s)
- Weibo Gao
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shuqun Zhang
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jinxia Guo
- GE Healthcare, MR Research, Beijing, China
| | | | - Xiaohui Li
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yan Diao
- Department of Oncology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Huang
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yue Yao
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ali Shang
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yanyan Zhang
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Quanxin Yang
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xin Chen
- Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
15
|
Pulmonary MRI: Applications and Use Cases. CURRENT PULMONOLOGY REPORTS 2020. [DOI: 10.1007/s13665-020-00257-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
16
|
Evangelista L, Fanti S. What Is the Role of Imaging in Cancers? Cancers (Basel) 2020; 12:cancers12061494. [PMID: 32521685 PMCID: PMC7352968 DOI: 10.3390/cancers12061494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 06/04/2020] [Indexed: 11/16/2022] Open
Affiliation(s)
- Laura Evangelista
- Nuclear Medicine Unit, Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
- Correspondence: ; Tel.: +39-0498211310; Fax: +39-0498213008
| | - Stefano Fanti
- Department of Nuclear Medicine, Sant’Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy;
| |
Collapse
|