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Diagnostics
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Cancer Diagnostic Probe
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Cancer Diagnostic Probe

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Optical Diagnostics".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 5218

Special Issue Editor

Dr. Mohammad Abdolahad

E-Mail Website
Guest Editor
1. Nano Electronic Center of Excellence, Nano Bio Electronic Devices Lab, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
2. Nano Electronic Center of Excellence, Thin Film and Nano Electronics Lab, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
3. Institute of Cancer, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
4. UT and TUMS Cancer Electronics Research Center, Tehran University of Medical Sciences, Tehran, Iran
Interests: cancer diagnostic probe; electrochemical measuring; electrical impedance spectroscopy; sensors

Special Issue Information

Dear Colleagues,

Real-time diagnostic technologies provide high-accuracy, decreased recurrence rate and low-cost theranostic procedures in both radiological and surgical interventions of solid tumors.

Cancer diagnostic probes (developed by electrical, electrochemical, optical and mechanical technologies) play a great role in the early diagnosis and intra-operative margin management of breast malignancy, luminal gastrointestinal diseases (colorectal and epiphanous organs), pancreatic cancers, as well as liver, ovarian and skin tumors.

This Special Issue focuses on the challenges and recent advances in all cancer diagnostic probe technologies (especially real-time tools) with differential distinctive and pathologically meaningful detection ability between normal/benign low-risk lesions and malignant/preneoplastic high-risk ones which can be used independently or added to imaging systems (e.g., endoscopy or guided by sonography) applicable in any superficial or deep-seated tumors in different organs (brain, esophagus, hepatobiliary, retroperitoneal masses, breast, colorectal, different sarcomas of organs, prostate and gynecological cancers, etc.) for either pre-interventional diagnostics or the intra-operative margin management of tumors.

Authors can submit original research articles, reviews, or short communications.

Dr. Mohammad Abdolahad
Guest Editor

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 (2 papers)

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Research

11 pages, 3843 KiB  
Article
High-Frequency (30 MHz–6 GHz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment
by Hadi Mokhtari Dowlatabad, Amir Mamdouh, Narges Yousefpour, Reihane Mahdavi, Ashkan Zandi, Parisa Hoseinpour, Seyed Mohammad Sadegh Moosavi-Kiasari, Fereshte Abbasvandi, Yasin Kordehlachin, Mohammad Parniani, Karim Mohammadpour-Aghdam, Pooya Faranoush, Mohammad Reza Foroughi-Gilvaee and Mohammad Abdolahad
Diagnostics 2023, 13(2), 179; https://doi.org/10.3390/diagnostics13020179 - 04 Jan 2023
Cited by 3 | Viewed by 2546
Abstract
A gigahertz (GHz) range antenna formed by a coaxial probe has been applied for sensing cancerous breast lesions in the scanning platform with the assistance of a suction tube. The sensor structure was a planar central layer and a metallic sheath of size [...] Read more.
A gigahertz (GHz) range antenna formed by a coaxial probe has been applied for sensing cancerous breast lesions in the scanning platform with the assistance of a suction tube. The sensor structure was a planar central layer and a metallic sheath of size of 3 cm2 connected to a network analyzer (keySight FieldFox N9918A) with operational bandwidth up to 26.5 GHz. Cancer tumor cells have significantly higher water content (as a dipolar molecule) than normal breast cells, changing their polarization responses and dielectric losses to incoming GHz-based stimulation. Principal component analysis named S11, related to the dispersion ratio of the input signal, is used as a parameter to identify malignant tumor cells in a mouse model (in vivo) and tumor specimens of breast cancer patients (in vitro) (both central and marginal parts). The results showed that S11 values in the frequency range from 5 to 6 GHz were significantly higher in cancer-involved breast lesions. Histopathological analysis was the gold standard for achieving the S11 calibration to distinguish normal from cancerous lesions. Our calibration on tumor specimens presented 82% positive predictive value (PPV), 100% negative predictive value (NPV), and 86% accuracy. Our goal is to apply this system as an in vivo non-invasive tumor margin scanner after further investigations in the future. Full article
(This article belongs to the Special Issue Cancer Diagnostic Probe)
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19 pages, 4011 KiB  
Article
Cervicovaginal-Microbiome Analysis by 16S Sequencing and Real-Time PCR in Patients from Novosibirsk (Russia) with Cervical Lesions and Several Years after Cancer Treatment
by Mikhail K. Ivanov, Evgeny V. Brenner, Anastasia A. Hodkevich, Victoria V. Dzyubenko, Sergey E. Krasilnikov, Alphiya S. Mansurova, Irina E. Vakhturova, Eduard F. Agletdinov, Anastasia O. Shumeikina, Alyona L. Chernyshova and Sergei E. Titov
Diagnostics 2023, 13(1), 140; https://doi.org/10.3390/diagnostics13010140 - 01 Jan 2023
Cited by 2 | Viewed by 1695
Abstract
Disturbed cervicovaginal-microbiome (CVM) structure promotes human papillomavirus (HPV) persistence and reflects risks of cervical lesions and cancer onset and recurrence. Therefore, microbiomic biomarkers may be useful for cervical disease screening and patient management. Here, by 16S rRNA gene sequencing and commercial PCR-based diagnostic [...] Read more.
Disturbed cervicovaginal-microbiome (CVM) structure promotes human papillomavirus (HPV) persistence and reflects risks of cervical lesions and cancer onset and recurrence. Therefore, microbiomic biomarkers may be useful for cervical disease screening and patient management. Here, by 16S rRNA gene sequencing and commercial PCR-based diagnostic kits, we profiled CVM in cytological preparations from 140 HPV-tested women (from Novosibirsk, Russia) with normal cytological findings, cervical lesions, or cancer and from 101 women who had recently received different cancer therapies. An increase in lesion severity was accompanied by higher HPV prevalence and elevated CVM biodiversity. Post-treatment CVM was found to be enriched with well-known microbial biomarkers of dysbiosis, just as in cervical disease. Nonetheless, concentrations of some skin-borne and environmental species (which gradually increased with increasing lesion severity)—especially Cutibacterium spp., Achromobacter spp., and Ralstonia pickettii—was low in post-treatment patients and depended on treatment types. Frequency of Lactobacillus iners dominance was high in all groups and depended on treatment types in post-treatment patients. Microbiome analysis via PCR-based kits revealed statistically significant differences among all groups of patients. Thus, microbiome profiling may help to find diagnostic and prognostic markers for management of cervical lesions; quantitative PCR-based kits may be suitable for these purposes. Full article
(This article belongs to the Special Issue Cancer Diagnostic Probe)
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