Editorial Board Members’ Collection Series in “Clinical Imaging in Cancer Diagnostics”

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 8838

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Guest Editor
Radiology Unit, Department of Surgical and Medical Sciences and Translational Medicine, Sant’Andrea University Hospital, University of Rome Sapienza, Via di Grottarossa 1035, 00189 Rome, Italy
Interests: imaging; oncology; CT; MRI; artificial intelligence; radiomics; response to therapy
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Guest Editor
Office of Thoracic Radiology, Massachusetts General Hospital, Founders 202, 55 Fruit St, Boston, MA 02114, USA
Interests: carcinoma; carcinoma, non-small-cell lung; lung neoplasms; lymphangitis; positron-emission tomography; pulmonary infarction; radiation dosage; radiography, thoracic; tomography, x-ray computed
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the exponential increase in new cases, combined with increasing mortality rates, cancer has become the second most prevalent cause of death in the world. The early detection of different types of cancers is paramount for a suitable diagnosis and effective treatment. Imaging modalities are mainly used to screen for tumor existence, detect all tumor cells and metastases in the body, and monitor treatment responses. More recently, the use of angiogenic modalities has also played an important role. There are six common imaging modalities used by physicians: ultrasound, computed tomography, magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and optical imaging.

In this Special Issue we aim to understand the different types of imaging modalities that are used in the management of cancer.

We welcome original research articles and reviews of the most popular research topics on the subject of cancer imaging.

Dr. Damiano Caruso
Dr. Subba Rao Digumarthy
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

 

Published Papers (3 papers)

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Research

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15 pages, 4495 KiB  
Article
Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses
by Mar Pelayo, Javier Sancho-Sauco, Javier Sanchez-Zurdo, Leopoldo Abarca-Martinez, Carlota Borrero-Gonzalez, Jose Antonio Sainz-Bueno, Juan Luis Alcazar and Irene Pelayo-Delgado
Diagnostics 2023, 13(13), 2152; https://doi.org/10.3390/diagnostics13132152 - 23 Jun 2023
Cited by 4 | Viewed by 1300
Abstract
Background: Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated with [...] Read more.
Background: Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated with malignancy influencing ultrasound scores. Methods: This is a retrospective analysis of ultrasound features of adnexal lesions of women managed surgically. Ultrasound characteristics were analyzed, and masses were classified by subjective assessment of the ultrasonographer (SA) and other ultrasound scores (IOTA Simple Rules Risk Assessment SRRA, ADNEX model, and O-RADS). Results: Of a total of 187 adnexal masses studied, 134 were benign (71.7%) and 53 were malignant (28.3%). SA, IOTA SRRA, ADNEX model with or without CA125 and O-RADS had high levels of sensitivity (93.9%, 81.1%, 94.3%, 88.7%, 98.1%) but lower specificity (80.2%, 82.1%, 82.8%, 77.6%, 73.1%) with similar AUC (0.87, 0.87, 0.92, 0.90, 0.86). Ultrasound features significantly related with malignancy were the presence of irregular contour, absence of acoustic shadowing, vascularized solid areas, ≥1 papillae, vascularized septum, and moderate-severe ascites. Conclusion: IOTA SRRA, ADNEX model, and O-RADS can help in the classification of benign and malignant masses. Certain ultrasound characteristics studied in ultrasound scores are associated with malignancy. Full article
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10 pages, 8108 KiB  
Article
[18F]FDG PET-MR in the Evaluation and Follow-Up of Incidental Bone Ischemic Lesions in a Mono-Center Cohort of Pediatric Patients Affected by Hodgkin’s Lymphoma
by Chiara Giraudo, Elisa Carraro, Elena Cavallaro, Monica Zuliani, Liliya Spampinato Gotsyak, Davide Massano, Antonella Modugno, Lara Mussolin, Alessandra Biffi, Diego Cecchin, Marta Pillon and Pietro Zucchetta
Diagnostics 2023, 13(3), 565; https://doi.org/10.3390/diagnostics13030565 - 03 Feb 2023
Cited by 1 | Viewed by 1150
Abstract
Hodgkin’s lymphoma (HL) is one of the neoplasms with the best prognosis in children, adolescents and young adults, but sufferers are burdened by the possibility of developing adverse effects such as Bone Ischemic Lesions (BILs) which are lesions of the bone caused by [...] Read more.
Hodgkin’s lymphoma (HL) is one of the neoplasms with the best prognosis in children, adolescents and young adults, but sufferers are burdened by the possibility of developing adverse effects such as Bone Ischemic Lesions (BILs) which are lesions of the bone caused by the loss of/reduction in blood flow. The main goal of this retrospective study was to evaluate the role of [18F]FDG-PET-MR in the early detection of BILs in a single-center cohort of uniformly treated pediatric HL patients. BILs were assessed through PET-MR images as the appearance of medullary lesion surrounded by a serpiginous, tortuous border. From 2017 to 2022, 10/53 (18.9%) HL patients developed BILs which were mostly (8/10 patients) multifocal. Overall, 30 lesions were identified in the 10 asymptomatic patients, all with the above-mentioned features at MR and with very low [18F]FDG uptake. BILs were incidentally detected during HL therapy (n = 6) and follow-up (n = 4), especially in the long bones (66.7%). No factors correlated with the occurrence of BIL were identified. No patients developed complications. PET-MR is a sensitive combined-imaging technique for detecting BILs that are asymptomatic and self-limiting micro-ischemic lesions. BILs can be monitored by clinical follow-up alone both during and after therapy. Full article
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Review

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29 pages, 30339 KiB  
Review
Peritoneal Carcinosis: What the Radiologist Needs to Know
by Alfonso Reginelli, Giuliana Giacobbe, Maria Teresa Del Canto, Marina Alessandrella, Giovanni Balestrucci, Fabrizio Urraro, Gaetano Maria Russo, Luigi Gallo, Ginevra Danti, Barbara Frittoli, Luca Stoppino, Daria Schettini, Franco Iafrate, Salvatore Cappabianca, Andrea Laghi, Roberto Grassi, Luca Brunese, Antonio Barile and Vittorio Miele
Diagnostics 2023, 13(11), 1974; https://doi.org/10.3390/diagnostics13111974 - 05 Jun 2023
Cited by 2 | Viewed by 5971
Abstract
Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious condition that can result from many different types of cancer, including ovarian, colon, stomach, [...] Read more.
Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious condition that can result from many different types of cancer, including ovarian, colon, stomach, pancreatic, and appendix cancer. The diagnosis and quantification of lesions in peritoneal carcinosis are critical in the management of patients with the condition, and imaging plays a central role in this process. Radiologists play a vital role in the multidisciplinary management of patients with peritoneal carcinosis. They need to have a thorough understanding of the pathophysiology of the condition, the underlying neoplasms, and the typical imaging findings. In addition, they need to be aware of the differential diagnoses and the advantages and disadvantages of the various imaging methods available. Imaging plays a central role in the diagnosis and quantification of lesions, and radiologists play a critical role in this process. Ultrasound, computed tomography, magnetic resonance, and PET/CT scans are used to diagnose peritoneal carcinosis. Each imaging procedure has advantages and disadvantages, and particular imaging techniques are recommended based on patient conditions. Our aim is to provide knowledge to radiologists regarding appropriate techniques, imaging findings, differential diagnoses, and treatment options. With the advent of AI in oncology, the future of precision medicine appears promising, and the interconnection between structured reporting and AI is likely to improve diagnostic accuracy and treatment outcomes for patients with peritoneal carcinosis. Full article
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