A multicentric, single arm, prospective, stratified clinical investigation to evaluate MammoWave’s ability in breast lesions detection
Microwave imaging is a safe and promising new technology in breast radiology, avoiding discomfort of breast compression and usage of ionizing radiation. This paper presents the first prospective microwave breast imaging study during which both symptomatic and asymptomatic subjects were recruited. Sp...
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Published in | PloS one Vol. 18; no. 7; p. e0288312 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Public Library of Science
14.07.2023
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Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0288312 |
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Abstract | Microwave imaging is a safe and promising new technology in breast radiology, avoiding discomfort of breast compression and usage of ionizing radiation. This paper presents the first prospective microwave breast imaging study during which both symptomatic and asymptomatic subjects were recruited. Specifically, a prospective multicentre international clinical trial was performed in 2020–2021, to investigate the capability of a microwave imaging device (MammoWave) in allowing distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e., with benign or malignant lesions. Each breast scan was performed with the volunteers lying on a dedicated examination table in a comfortable prone position. MammoWave output was compared to reference standard (i.e., radiologic study obtained within the last month and integrated with histological one if available and deemed necessary by responsible investigator) to classify breasts into NF/WF categories. MammoWave output consists of a selection of microwave images’ features (determined prior to trials’ start), which allow distinction between NF and WF breasts (using statistical significance p<0.05). 353 women were enrolled in the study (mean age 51 years ± 12 [SD], minimum age 19, maximum age 78); MammoWave data from the first 15 women of each site, all with NF breasts, were used for calibration. Following central assessor evaluation, 111 NF (48 dense) and 272 WF (136 dense) breasts were used for comparison with MammoWave output. 272 WF comprised 182 benign findings and 90 malignant histology-confirmed cancer. A sensitivity of 82.3% was achieved (95%CI: 0.78–0.87); sensitivity is maintained when limiting the investigation to histology-confirmed breasts cancer only (90 histology-confirmed breasts cancer have been included in this analysis, having sizes ranging from 3 mm to 60 mm). Specificity value of approximately 50% was achieved as expected, since thresholds were calculated (for each feature) using median value obtained after recruiting the first 15 women (of each site), all NF. This prospective trial may represent another step for introducing microwave imaging into clinical practice, for helping in breast lesion identification in asymptomatic women. |
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AbstractList | Microwave imaging is a safe and promising new technology in breast radiology, avoiding discomfort of breast compression and usage of ionizing radiation. This paper presents the first prospective microwave breast imaging study during which both symptomatic and asymptomatic subjects were recruited. Specifically, a prospective multicentre international clinical trial was performed in 2020–2021, to investigate the capability of a microwave imaging device (MammoWave) in allowing distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e., with benign or malignant lesions. Each breast scan was performed with the volunteers lying on a dedicated examination table in a comfortable prone position. MammoWave output was compared to reference standard (i.e., radiologic study obtained within the last month and integrated with histological one if available and deemed necessary by responsible investigator) to classify breasts into NF/WF categories. MammoWave output consists of a selection of microwave images’ features (determined prior to trials’ start), which allow distinction between NF and WF breasts (using statistical significance p<0.05). 353 women were enrolled in the study (mean age 51 years ± 12 [SD], minimum age 19, maximum age 78); MammoWave data from the first 15 women of each site, all with NF breasts, were used for calibration. Following central assessor evaluation, 111 NF (48 dense) and 272 WF (136 dense) breasts were used for comparison with MammoWave output. 272 WF comprised 182 benign findings and 90 malignant histology-confirmed cancer. A sensitivity of 82.3% was achieved (95%CI: 0.78–0.87); sensitivity is maintained when limiting the investigation to histology-confirmed breasts cancer only (90 histology-confirmed breasts cancer have been included in this analysis, having sizes ranging from 3 mm to 60 mm). Specificity value of approximately 50% was achieved as expected, since thresholds were calculated (for each feature) using median value obtained after recruiting the first 15 women (of each site), all NF. This prospective trial may represent another step for introducing microwave imaging into clinical practice, for helping in breast lesion identification in asymptomatic women. Microwave imaging is a safe and promising new technology in breast radiology, avoiding discomfort of breast compression and usage of ionizing radiation. This paper presents the first prospective microwave breast imaging study during which both symptomatic and asymptomatic subjects were recruited. Specifically, a prospective multicentre international clinical trial was performed in 2020-2021, to investigate the capability of a microwave imaging device (MammoWave) in allowing distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e., with benign or malignant lesions. Each breast scan was performed with the volunteers lying on a dedicated examination table in a comfortable prone position. MammoWave output was compared to reference standard (i.e., radiologic study obtained within the last month and integrated with histological one if available and deemed necessary by responsible investigator) to classify breasts into NF/WF categories. MammoWave output consists of a selection of microwave images' features (determined prior to trials' start), which allow distinction between NF and WF breasts (using statistical significance p<0.05). 353 women were enrolled in the study (mean age 51 years ± 12 [SD], minimum age 19, maximum age 78); MammoWave data from the first 15 women of each site, all with NF breasts, were used for calibration. Following central assessor evaluation, 111 NF (48 dense) and 272 WF (136 dense) breasts were used for comparison with MammoWave output. 272 WF comprised 182 benign findings and 90 malignant histology-confirmed cancer. A sensitivity of 82.3% was achieved (95%CI: 0.78-0.87); sensitivity is maintained when limiting the investigation to histology-confirmed breasts cancer only (90 histology-confirmed breasts cancer have been included in this analysis, having sizes ranging from 3 mm to 60 mm). Specificity value of approximately 50% was achieved as expected, since thresholds were calculated (for each feature) using median value obtained after recruiting the first 15 women (of each site), all NF. This prospective trial may represent another step for introducing microwave imaging into clinical practice, for helping in breast lesion identification in asymptomatic women.Microwave imaging is a safe and promising new technology in breast radiology, avoiding discomfort of breast compression and usage of ionizing radiation. This paper presents the first prospective microwave breast imaging study during which both symptomatic and asymptomatic subjects were recruited. Specifically, a prospective multicentre international clinical trial was performed in 2020-2021, to investigate the capability of a microwave imaging device (MammoWave) in allowing distinction between breasts with no radiological finding (NF) and breasts with radiological findings (WF), i.e., with benign or malignant lesions. Each breast scan was performed with the volunteers lying on a dedicated examination table in a comfortable prone position. MammoWave output was compared to reference standard (i.e., radiologic study obtained within the last month and integrated with histological one if available and deemed necessary by responsible investigator) to classify breasts into NF/WF categories. MammoWave output consists of a selection of microwave images' features (determined prior to trials' start), which allow distinction between NF and WF breasts (using statistical significance p<0.05). 353 women were enrolled in the study (mean age 51 years ± 12 [SD], minimum age 19, maximum age 78); MammoWave data from the first 15 women of each site, all with NF breasts, were used for calibration. Following central assessor evaluation, 111 NF (48 dense) and 272 WF (136 dense) breasts were used for comparison with MammoWave output. 272 WF comprised 182 benign findings and 90 malignant histology-confirmed cancer. A sensitivity of 82.3% was achieved (95%CI: 0.78-0.87); sensitivity is maintained when limiting the investigation to histology-confirmed breasts cancer only (90 histology-confirmed breasts cancer have been included in this analysis, having sizes ranging from 3 mm to 60 mm). Specificity value of approximately 50% was achieved as expected, since thresholds were calculated (for each feature) using median value obtained after recruiting the first 15 women (of each site), all NF. This prospective trial may represent another step for introducing microwave imaging into clinical practice, for helping in breast lesion identification in asymptomatic women. |
Audience | Academic |
Author | Sánchez-Bayuela, Daniel Álvarez Sani, Lorenzo Tiberi, Gianluigi Papini, Lorenzo Bigotti, Alessandra Raspa, Giovanni Ghavami, Mohammad Castellano, Cristina Romero Tagliafico, Alberto Stefano Vispa, Alessandro Calabrese, Massimo Ghavami, Navid Badia, Mario Bernardi, Daniela |
AuthorAffiliation | 8 University of Genoa, Genoa, Italy 3 Faculty of Chemical Science and Technology, Instituto Regional de Investigación Científica Aplicada, University of Castilla, La Mancha, Spain 4 School of Engineering, London South Bank University, London, United Kingdom 5 IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy 7 IRCCS Ospedale Policlinico San Martino, Genoa, Italy 6 Humanitas University, Milan, Italy Tsinghua University, CHINA 2 Breast Imaging Department, Radiology Service, Complejo Hospitalario Universitario de Toledo, Spain 1 UBT—Umbria Bioengineering Technologies, Perugia, Italy |
AuthorAffiliation_xml | – name: 8 University of Genoa, Genoa, Italy – name: 2 Breast Imaging Department, Radiology Service, Complejo Hospitalario Universitario de Toledo, Spain – name: Tsinghua University, CHINA – name: 6 Humanitas University, Milan, Italy – name: 1 UBT—Umbria Bioengineering Technologies, Perugia, Italy – name: 4 School of Engineering, London South Bank University, London, United Kingdom – name: 5 IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy – name: 3 Faculty of Chemical Science and Technology, Instituto Regional de Investigación Científica Aplicada, University of Castilla, La Mancha, Spain – name: 7 IRCCS Ospedale Policlinico San Martino, Genoa, Italy |
Author_xml | – sequence: 1 givenname: Daniel Álvarez orcidid: 0000-0003-4972-0853 surname: Sánchez-Bayuela fullname: Sánchez-Bayuela, Daniel Álvarez – sequence: 2 givenname: Navid surname: Ghavami fullname: Ghavami, Navid – sequence: 3 givenname: Gianluigi orcidid: 0000-0001-8787-1295 surname: Tiberi fullname: Tiberi, Gianluigi – sequence: 4 givenname: Lorenzo surname: Sani fullname: Sani, Lorenzo – sequence: 5 givenname: Alessandro surname: Vispa fullname: Vispa, Alessandro – sequence: 6 givenname: Alessandra surname: Bigotti fullname: Bigotti, Alessandra – sequence: 7 givenname: Giovanni surname: Raspa fullname: Raspa, Giovanni – sequence: 8 givenname: Mario surname: Badia fullname: Badia, Mario – sequence: 9 givenname: Lorenzo surname: Papini fullname: Papini, Lorenzo – sequence: 10 givenname: Mohammad surname: Ghavami fullname: Ghavami, Mohammad – sequence: 11 givenname: Cristina Romero surname: Castellano fullname: Castellano, Cristina Romero – sequence: 12 givenname: Daniela orcidid: 0000-0002-4329-8121 surname: Bernardi fullname: Bernardi, Daniela – sequence: 13 givenname: Massimo surname: Calabrese fullname: Calabrese, Massimo – sequence: 14 givenname: Alberto Stefano surname: Tagliafico fullname: Tagliafico, Alberto Stefano |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37450545$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_3390_diagnostics13183015 crossref_primary_10_1016_j_rineng_2025_104167 crossref_primary_10_3390_diagnostics14080848 crossref_primary_10_1136_bmjopen_2024_088431 |
Cites_doi | 10.1097/MD.0000000000005684 10.1016/j.acra.2021.06.012 10.3390/diagnostics11101930 10.1016/j.jmau.2016.10.002 10.1016/j.measurement.2019.05.109 10.3390/s20082390 10.1049/iet-map.2014.0621 10.1109/TAP.2011.2167905 10.1371/journal.pone.0188947 10.1109/MMM.2011.942702 10.1049/iet-map.2011.0033 10.7326/M15-0970 10.1016/j.bspc.2019.04.025 10.1371/journal.pone.0250005 |
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Copyright | Copyright: © 2023 Sánchez-Bayuela et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. COPYRIGHT 2023 Public Library of Science 2023 Sánchez-Bayuela et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 Sánchez-Bayuela et al 2023 Sánchez-Bayuela et al 2023 Sánchez-Bayuela et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Navid Ghavami, Gianluigi Tiberi, Lorenzo Sani, Alessandro Vispa, Alessandra Bigotti, Giovanni Raspa and Mario Badia, are employed by UBT - Umbria Bioengineering Technologies Srl. Navid Ghavami, Gianluigi Tiberi and Lorenzo Sani are shareholders of UBT - Umbria Bioengineering Technologies. Please NOTE that the authors listed had no access to "reference standard" (only the Local Investigators and the C.R.O. had access to "reference standard"). UBT manufactured the microwave imaging device known as MammoWave. This does not alter our adherence to PLOS ONE policies on sharing data and materials. |
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SubjectTerms | Adult Age Aged Algorithms Biology and Life Sciences Breast Breast - diagnostic imaging Breast cancer Breast Neoplasms - diagnostic imaging Breasts Calibration Cancer Clinical trials Dielectric properties Evaluation Female Histology Humans Ionizing radiation Lesions Mammography Mammography - methods Medical imaging Medicine and Health Sciences Microwave imaging Middle Aged Neoplasms New technology People and Places Physical Sciences Prone position Prospective Studies Radiology Research and Analysis Methods Sensitivity Sensitivity and Specificity Young Adult |
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