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Wu L, He C, Zhao T, Li T, Xu H, Wen J, Xu X, Gao L. Diagnosis and treatment status of inoperable locally advanced breast cancer and the application value of inorganic nanomaterials. J Nanobiotechnology 2024; 22:366. [PMID: 38918821 PMCID: PMC11197354 DOI: 10.1186/s12951-024-02644-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 06/16/2024] [Indexed: 06/27/2024] Open
Abstract
Locally advanced breast cancer (LABC) is a heterogeneous group of breast cancer that accounts for 10-30% of breast cancer cases. Despite the ongoing development of current treatment methods, LABC remains a severe and complex public health concern around the world, thus prompting the urgent requirement for innovative diagnosis and treatment strategies. The primary treatment challenges are inoperable clinical status and ineffective local control methods. With the rapid advancement of nanotechnology, inorganic nanoparticles (INPs) exhibit a potential application prospect in diagnosing and treating breast cancer. Due to the unique inherent characteristics of INPs, different functions can be performed via appropriate modifications and constructions, thus making them suitable for different imaging technology strategies and treatment schemes. INPs can improve the efficacy of conventional local radiotherapy treatment. In the face of inoperable LABC, INPs have proposed new local therapeutic methods and fostered the evolution of novel strategies such as photothermal and photodynamic therapy, magnetothermal therapy, sonodynamic therapy, and multifunctional inorganic nanoplatform. This article reviews the advances of INPs in local accurate imaging and breast cancer treatment and offers insights to overcome the existing clinical difficulties in LABC management.
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Affiliation(s)
- Linxuan Wu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Chuan He
- Department of Laboratory Medicine, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Tingting Zhao
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Tianqi Li
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Hefeng Xu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China
| | - Jian Wen
- Department of Breast Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China.
| | - Xiaoqian Xu
- School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
| | - Lin Gao
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, 110022, China.
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Ferro M, Macchia G, Pezzulla D, Cilla S, Romano C, Ferro M, Boccardi M, Bonome P, Picardi V, Buwenge M, Morganti AG, Deodato F. Pattern of recurrence after stereotactic body radiotherapy of nodal lesions: a single-institution analysis. Br J Radiol 2024; 97:1295-1301. [PMID: 38741392 PMCID: PMC11186556 DOI: 10.1093/bjr/tqae099] [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: 01/20/2024] [Revised: 04/17/2024] [Accepted: 05/08/2024] [Indexed: 05/16/2024] Open
Abstract
OBJECTIVES Stereotactic body radiotherapy (SBRT) and/or single fraction stereotactic body radiosurgery (SRS) are effective treatment options for the treatment of oligometastatic disease of lymph nodes. Despite the encouraging local control rate, progression-free survival remains unfair due to relapses that might occur in the same district or at other sites. The recurrence pattern analysis after nodal local ablative RT (laRT) in oligometastatic patients is presented in this study. METHODS The pattern of failure of patients with nodal metastases who were recruited and treated with SBRT in the Destroy-1 or SRS in the Destroy-2 trials was investigated in this single-institution, retrospective analysis. The different relapsed sites following laRT were recorded. RESULTS Data on 190 patients who received SBRT or SRS on 269 nodal lesions were reviewed. A relapse rate of 57.2% (154 out of 269 nodal lesions) was registered. The pattern of failure was distant in 88 (57.4%) and loco-regional in 66 (42.6%) patients, respectively. The most frequent primary malignancies among patients experiencing loco-regional failure were genitourinary and gynaecological cancers. Furthermore, the predominant site of loco-regional relapse (62%) was the pelvic area. Only 26% of locoregional relapses occurred contra laterally, with 74% occurring ipsilaterally. CONCLUSIONS The recurrence rates after laRT for nodal disease were more frequent in distant regions compared to locoregional sites. The most common scenarios for locoregional relapse appear to be genitourinary cancer and the pelvic site. In addition, recurrences often occur in the same nodal station or in a nodal station contiguous to the irradiated nodal site. ADVANCES IN KNOWLEDGE Local ablative radiotherapy is an effective treatment in managing nodal oligometastasis. Despite the high local control rate, the progression free survival remains dismal with recurrences that can occur both loco-regionally or at distance. To understand the pattern of failure could aid the physicians to choose the best treatment strategy. This is the first study that reports the recurrence pattern of a significant number of nodal lesions treated with laRT.
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Affiliation(s)
- Milena Ferro
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Gabriella Macchia
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Donato Pezzulla
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Savino Cilla
- Medical Physics Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Carmela Romano
- Medical Physics Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Marica Ferro
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Mariangela Boccardi
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Paolo Bonome
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Vincenzo Picardi
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
| | - Milly Buwenge
- Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
| | - Alessio G Morganti
- Radiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna 40138, Italy
- Department of Experimental, Diagnostic, and Specialty Medicine—DIMES, Alma Mater Studiorum, Bologna University, Bologna 40138, Italy
| | - Francesco Deodato
- Radiation Oncology Unit, Responsible Research Hospital, Campobasso 86100, Italy
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, Rome 00168, Italy
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Katal S, McKay MJ, Taubman K. PET Molecular Imaging in Breast Cancer: Current Applications and Future Perspectives. J Clin Med 2024; 13:3459. [PMID: 38929989 PMCID: PMC11205053 DOI: 10.3390/jcm13123459] [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: 05/15/2024] [Revised: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Positron emission tomography (PET) plays a crucial role in breast cancer management. This review addresses the role of PET imaging in breast cancer care. We focus primarily on the utility of 18F-fluorodeoxyglucose (FDG) PET in staging, recurrence detection, and treatment response evaluation. Furthermore, we delve into the growing interest in precision therapy and the development of novel radiopharmaceuticals targeting tumor biology. This includes discussing the potential of PET/MRI and artificial intelligence in breast cancer imaging, offering insights into improved diagnostic accuracy and personalized treatment approaches.
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Affiliation(s)
- Sanaz Katal
- Medical Imaging Department, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
| | - Michael J. McKay
- Northwest Regional Hospital, University of Tasmania, Burnie, TAS 7320, Australia;
- Northern Cancer Service, Northwest Regional Hospital, Burnie, TAS 7320, Australia
| | - Kim Taubman
- Medical Imaging Department, St. Vincent’s Hospital Melbourne, Fitzroy, VIC 3065, Australia;
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McDonald ES, Scheel JR, Lewin AA, Weinstein SP, Dodelzon K, Dogan BE, Fitzpatrick A, Kuzmiak CM, Newell MS, Paulis LV, Pilewskie M, Salkowski LR, Silva HC, Sharpe RE, Specht JM, Ulaner GA, Slanetz PJ. ACR Appropriateness Criteria® Imaging of Invasive Breast Cancer. J Am Coll Radiol 2024; 21:S168-S202. [PMID: 38823943 DOI: 10.1016/j.jacr.2024.02.021] [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: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
As the proportion of women diagnosed with invasive breast cancer increases, the role of imaging for staging and surveillance purposes should be determined based on evidence-based guidelines. It is important to understand the indications for extent of disease evaluation and staging, as unnecessary imaging can delay care and even result in adverse outcomes. In asymptomatic patients that received treatment for curative intent, there is no role for imaging to screen for distant recurrence. Routine surveillance with an annual 2-D mammogram and/or tomosynthesis is recommended to detect an in-breast recurrence or a new primary breast cancer in women with a history of breast cancer, and MRI is increasingly used as an additional screening tool in this population, especially in women with dense breasts. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
- Elizabeth S McDonald
- Research Author, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - John R Scheel
- Vanderbilt University Medical Center, Nashville, Tennessee.
| | - Alana A Lewin
- Panel Chair, New York University Grossman School of Medicine, New York, New York
| | - Susan P Weinstein
- Panel Vice Chair, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Basak E Dogan
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Amy Fitzpatrick
- Boston Medical Center, Boston, Massachusetts, Primary care physician
| | | | - Mary S Newell
- Emory University Hospital, Atlanta, Georgia; RADS Committee
| | | | - Melissa Pilewskie
- University of Michigan, Ann Arbor, Michigan; Society of Surgical Oncology
| | - Lonie R Salkowski
- University of Wisconsin School of Medicine & Public Health, Madison, Wisconsin
| | - H Colleen Silva
- The University of Texas Medical Branch, Galveston, Texas; American College of Surgeons
| | | | - Jennifer M Specht
- University of Washington, Seattle, Washington; American Society of Clinical Oncology
| | - Gary A Ulaner
- Hoag Family Cancer Institute, Newport Beach, California; University of Southern California, Los Angeles, California; Commission on Nuclear Medicine and Molecular Imaging
| | - Priscilla J Slanetz
- Specialty Chair, Boston University School of Medicine, Boston, Massachusetts
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Qu B, Li X, Ma Y, Wang Y, Han Y, Hou G, Gao F. 68Ga labeled EphA2-targeted cyclic peptide: a novel positron imaging tracer for triple-negative breast cancer? Dalton Trans 2024; 53:7946-7952. [PMID: 38646723 DOI: 10.1039/d4dt00837e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The absence of better biomarkers currently limits early diagnosis and treatment of triple-negative breast cancer (TNBC). Our previously published study reported that the cyclic-peptide SD01 exhibited specific binding to EphA2 (Ephrin type-A receptor 2) on TNBC. To develop a novel PET imaging agent, we prepared gallium-68 (68Ga) labeled-DOTA-SD01 and evaluated its specificity and effectiveness through micro PET/CT imaging in a TNBC-bearing mouse model. SD01 and a control linear peptide YSA were conjugated to DOTA and subsequently labeled with 68Ga, obtaining 68Ga-DOTA-SD01 and 68Ga-DOTA-YSA. Both showed high radiochemical purity, stability, good hydrophilicity, and high binding affinity to 4T1 cells. Micro PET/CT imaging showed high radioactivity accumulation in tumors; SUVmean (mean standardized uptake value) of tumors in the group of 68Ga-DOTA-SD01 was 3.34 ± 0.25 and 2.65 ± 0.32 in the group of 68Ga-DOTA-YSA; T/NT ratios (target to non-target, SUVmean ratios of tumor to muscle) were 3.12 ± 0.06 and 2.77 ± 0.11 at 30 min, respectively (p < 0.05). The biodistribution study showed that tumor uptake % ID per g (percentage of injected dose per gram of tissue) in the group of 68Ga-DOTA-SD01 was 2.73 ± 0.34, and 1.77 ± 0.38 in the group of 68Ga-DOTA-YSA; T/NT ratios (radioactivity of tumor to muscle) were 3.55 ± 0.12 and 3.05 ± 0.10 for both groups at 30 min, respectively (p < 0.05). All these suggest that 68Ga-DOTA-SD01 may act as a better novel PET imaging agent for EphA2 positive tumors, such as TNBC.
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Affiliation(s)
- Bin Qu
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
- Department of Nuclear Medicine, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Xianjun Li
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
- Department of Nuclear Medicine, Weifang People's Hospital, Weifang, 261041, Shandong, China
| | - Yuze Ma
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
| | - Yanzhi Wang
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
| | - Yeming Han
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
| | - Guihua Hou
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
| | - Feng Gao
- Key Laboratory for Experimental Teratology of the Ministry of Education and Research Center for Experimental Nuclear Medicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, Shandong, China.
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Aksu A, Güç ZG, Küçüker KA, Alacacıoğlu A, Turgut B. Intra and peritumoral PET radiomics analysis to predict the pathological response in breast cancer patients receiving neoadjuvant chemotherapy. Rev Esp Med Nucl Imagen Mol 2024; 43:500002. [PMID: 38527731 DOI: 10.1016/j.remnie.2024.500002] [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: 10/02/2023] [Accepted: 01/26/2024] [Indexed: 03/27/2024]
Abstract
OBJECTIVE The aim of our study was to evaluate the contribution of 18Fluorine-Fluorodeoxyglucose Positron Emission Tomography (18F-FDG PET) radiomic data obtained from both the tumoral and peritumoral area in predicting pathological complete response (pCR) in patients with locally advanced breast cancer receiving neoadjuvant chemotherapy (NAC). METHODS Female patients with a diagnosis of invasive ductal carcinoma who received NAC were evaluated retrospectively. The volume of interest (VOI) of the primary tumor (VOI-T) was manually segmented, then a voxel-thick VOI was added around VOI-T to define the peritumoral area (VOI-PT). Morphological, intensity-based, histogram and texture parameters were obtained from VOIs. The patients were divided into two groups as pCR and non-complete pathological response (npCR). A "radiomic model" was created with only radiomic features, and a "patho-radiomic model" was created using radiomic features and immunohistochemical data. RESULTS Of the 66 patients included in the study, 21 were in the pCR group. The only statistically significant feature from the primary tumor among patients with pCR and npCR was Morphological_Compacity-T (AUC: 0.666). Between response groups, a significant difference was detected in 2 morphological, 1 intensity, 4 texture features from VOI-PT; no correlation was found between Morphological_Compacity-PT and NGTDM_contrast-PT. The obtained radiomic model's sensitivity and accuracy values were calculated as 61.9% and 75.8%, respectively (AUC: 0.786). When HER2 status was added, sensitivity and accuracy values of the patho-radiomic model increased to 85.7% and 81.8%, respectively (AUC: 0.903). CONCLUSIONS Evaluation of PET peritumoral radiomic features together with the primary tumor, rather than just the primary tumor, provides a better prediction of the pCR to NAC in patients with breast cancer.
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Affiliation(s)
- Ayşegül Aksu
- İzmir Kâtip Çelebi University, Atatürk Training and Research Hospital, Department of Nuclear Medicine, İzmir, Turkey.
| | - Zeynep Gülsüm Güç
- İzmir Kâtip Çelebi University, Atatürk Training and Research Hospital, Department of Medical Oncology, İzmir, Turkey
| | - Kadir Alper Küçüker
- İzmir Kâtip Çelebi University, Atatürk Training and Research Hospital, Department of Nuclear Medicine, İzmir, Turkey
| | - Ahmet Alacacıoğlu
- İzmir Kâtip Çelebi University, Atatürk Training and Research Hospital, Department of Medical Oncology, İzmir, Turkey
| | - Bülent Turgut
- İzmir Kâtip Çelebi University, Atatürk Training and Research Hospital, Department of Nuclear Medicine, İzmir, Turkey
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Keigley QJ, Fowler AM, O'Brien SR, Dehdashti F. Molecular Imaging of Steroid Receptors in Breast Cancer. Cancer J 2024; 30:142-152. [PMID: 38753748 PMCID: PMC11101139 DOI: 10.1097/ppo.0000000000000715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
ABSTRACT Steroid receptors regulate gene expression for many important physiologic functions and pathologic processes. Receptors for estrogen, progesterone, and androgen have been extensively studied in breast cancer, and their expression provides prognostic information as well as targets for therapy. Noninvasive imaging utilizing positron emission tomography and radiolabeled ligands targeting these receptors can provide valuable insight into predicting treatment efficacy, staging whole-body disease burden, and identifying heterogeneity in receptor expression across different metastatic sites. This review provides an overview of steroid receptor imaging with a focus on breast cancer and radioligands for estrogen, progesterone, and androgen receptors.
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Affiliation(s)
- Quinton J Keigley
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | | | - Sophia R O'Brien
- Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Farrokh Dehdashti
- Division of Nuclear Medicine, Edward Mallinckrodt Institute of Radiology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
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Özdemir A, Güven M, Binici S, Uygur S, Toktaş O. Impact of 18F-FDG PET/CT in the management decisions of breast cancer board on early-stage breast cancer. Clin Transl Oncol 2024; 26:1139-1146. [PMID: 37848693 DOI: 10.1007/s12094-023-03331-1] [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: 09/02/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE Breast cancer is the most common malignancy accounting for 11.7% of all cancer cases, with a rising incidence rate. Various diagnostic methods, including 18F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT), play a crucial role in breast cancer diagnosis and staging. However, the unnecessary use of advanced imaging techniques such as PET/CT in early-stage breast cancer can have negative effects on both economics and patients. We aimed to investigate the impact of PET/CT on the management decisions of early-stage breast cancer patients by the breast cancer tumor board. METHODS A retrospective analysis was performed on a cohort of 81 patients with early-stage breast cancer who were evaluated by breast cancer tumor board from January 2015 to December 2020. Demographic, clinical, and radiographic data, along with surgical procedures and treatment options, were documented and analyzed. RESULTS The results showed that 18F-FDG PET/CT had a moderate impact on treatment decisions of breast cancer tumor board, as only treatment decisions were changed in 14,86% of the patients. The surgical procedure decision of breast cancer tumor board changed in 12.35% of patients, while 87.65% of patients had consistent decisions before and after PET/CT. Pathological assessments revealed invasive ductal carcinoma as the most prevalent tumor type, and molecular subtypes were predominantly luminal B. PET/CT use had limited impact on surgical procedures and did not significantly alter treatment decisions of breast cancer tumor board in this early-stage breast cancer cohort. CONCLUSIONS In conclusion, this study highlights the importance of adherence to the guidelines and appropriate use of PET/CT in early-stage breast cancer management. PET/CT should be reserved for cases where it is clinically warranted, considering the potential economic burden and minimal impact on treatment decisions of breast cancer tumor board in this patient population.
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Affiliation(s)
- Abdulselam Özdemir
- Department of General Surgery, Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey.
| | - Mustafa Güven
- Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey
| | - Serhat Binici
- General Surgery Department, Şırnak State Hospital, Şırnak, Turkey
| | - Serhat Uygur
- Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey
| | - Osman Toktaş
- Department of General Surgery, Faculty of Medicine, Van Yuzuncu Yıl University, Van, Turkey
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Ulaner GA, Vaz SC, Groheux D. Quarter-Century Transformation of Oncology: Positron Emission Tomography for Patients with Breast Cancer. PET Clin 2024; 19:147-162. [PMID: 38177052 DOI: 10.1016/j.cpet.2023.12.002] [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] [Indexed: 01/06/2024]
Abstract
PET radiotracers have become indispensable in the care of patients with breast cancer. 18F-fluorodeoxyglucose has become the preferred method of many oncologists for systemic staging of breast cancer at initial diagnosis, detecting recurrent disease, and for measuring treatment response after therapy. 18F-Sodium Fluoride is valuable for detection of osseous metastases. 18F-fluoroestradiol is now FDA-approved with multiple appropriate clinical uses. There are multiple PET radiotracers in clinical trials, which may add utility of PET imaging for patients with breast cancer in the future. This article will describe the advances during the last quarter century in PET for patients with breast cancer.
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Affiliation(s)
- Gary A Ulaner
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Irvine, CA, USA; Departments of Radiology and Translational Genomics, University of Southern California, Los Angeles, CA, USA.
| | - Sofia Carrilho Vaz
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - David Groheux
- Nuclear Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; Centre d'Imagerie Radio-Isotopique (CIRI), La Rochelle, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France
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Baldassi B, Poladyan H, Shahi A, Maa-Hacquoil H, Rapley M, Komarov B, Stiles J, Freitas V, Waterston M, Aseyev O, Reznik A, Bubon O. Image quality evaluation for a clinical organ-targeted PET camera. Front Oncol 2024; 14:1268991. [PMID: 38590664 PMCID: PMC10999605 DOI: 10.3389/fonc.2024.1268991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 03/12/2024] [Indexed: 04/10/2024] Open
Abstract
Introduction A newly developed clinical organ-targeted Positron Emission Tomography (PET) system (also known as Radialis PET) is tested with a set of standardized and custom tests previously used to evaluate the performance of Positron Emission Mammography (PEM) systems. Methods Imaging characteristics impacting standardized uptake value (SUV) and detectability of small lesions, namely spatial resolution, linearity, uniformity, and recovery coefficients, are evaluated. Results In-plane spatial resolution was measured as 2.3 mm ± 0.1 mm, spatial accuracy was 0.1 mm, and uniformity measured with flood field and NEMA NU-4 phantom was 11.7% and 8.3% respectively. Selected clinical images are provided as reference to the imaging capabilities under different clinical conditions such as reduced activity of 2-[fluorine-18]-fluoro-2-deoxy-D-glucose (18F-FDG) and time-delayed acquisitions. SUV measurements were performed for selected clinical acquisitions to demonstrate a capability for quantitative image assessment of different types of cancer including for invasive lobular carcinoma with comparatively low metabolic activity. Quantitative imaging performance assessment with phantoms demonstrates improved contrast recovery and spill-over ratio for this PET technology when compared to other commercial organ-dedicated PET systems with similar spatial resolution. Recovery coefficients were measured to be 0.21 for the 1 mm hot rod and up to 0.89 for the 5 mm hot rod of NEMA NU-4 Image Quality phantom. Discussion Demonstrated ability to accurately reconstruct activity in tumors as small as 5 mm suggests that the Radialis PET technology may be well suited for emerging clinical applications such as image guided assessment of response to neoadjuvant systemic treatment (NST) in lesions smaller than 2 cm. Also, our results suggest that, while spatial resolution greatly influences the partial volume effect which degrades contrast recovery, optimized count rate performance and image reconstruction workflow may improve recovery coefficients for systems with comparable spatial resolution. We emphasize that recovery coefficient should be considered as a primary performance metric when a PET system is used for accurate lesion size or radiotracer uptake assessments.
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Affiliation(s)
- Brandon Baldassi
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
| | | | - Anirudh Shahi
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
| | | | - Madeline Rapley
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
| | | | - Justin Stiles
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
| | - Vivianne Freitas
- Department of Medical Imaging, University Health Network, Sinai Health System, Women’s College Hospital, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | | | - Olexiy Aseyev
- Department of Medical Oncology, Thunder Bay Regional Health Sciences Center, Thunder Bay, ON, Canada
| | - Alla Reznik
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
- Radialis Inc., Thunder Bay, ON, Canada
| | - Oleksandr Bubon
- Department of Physics, Lakehead University, Thunder Bay, ON, Canada
- Radialis Inc., Thunder Bay, ON, Canada
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
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Yeh R, O'Donoghue JA, Jayaprakasam VS, Mauguen A, Min R, Park S, Brockway JP, Bromberg JF, Zhi WI, Robson ME, Sanford R, Modi S, Agnew BJ, Lyashchenko SK, Lewis JS, Ulaner GA, Zeglis BM. First-in-Human Evaluation of Site-Specifically Labeled 89Zr-Pertuzumab in Patients with HER2-Positive Breast Cancer. J Nucl Med 2024; 65:386-393. [PMID: 38272704 PMCID: PMC10924157 DOI: 10.2967/jnumed.123.266392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 01/27/2024] Open
Abstract
Radioimmunoconjugates targeting human epidermal growth factor receptor 2 (HER2) have shown potential to noninvasively visualize HER2-positive tumors. However, the stochastic approach that has been traditionally used to radiolabel these antibodies yields poorly defined and heterogeneous products with suboptimal in vivo performance. Here, we describe a first-in-human PET study on patients with HER2-positive breast cancer evaluating the safety, biodistribution, and dosimetry of 89Zr-site-specific (ss)-pertuzumab PET, a site-specifically labeled radioimmunoconjugate designed to circumvent the limitations of random stochastic lysine labeling. Methods: Six patients with HER2-positive metastatic breast cancer were enrolled in a prospective clinical trial. Pertuzumab was site-specifically modified with desferrioxamine (DFO) via a novel chemoenzymatic strategy and subsequently labeled with 89Zr. Patients were administered 74 MBq of 89Zr-ss-pertuzumab in 20 mg of total antibody intravenously and underwent PET/CT at 1 d, 3-4 d, and 5-8 d after injection. PET imaging, whole-body probe counts, and blood draws were performed to assess the pharmacokinetics, biodistribution, and dosimetry. Results: 89Zr-ss-pertuzumab PET/CT was used to assess HER2 status and heterogeneity to guide biopsy and decide the next line of treatment at progression. The radioimmunoconjugate was able to detect known sites of malignancy, suggesting that these tumor lesions were HER2-positive. The optimal imaging time point was 5-8 d after administration, and no toxicities were observed. Dosimetry estimates from OLINDA showed that the organs receiving the highest doses (mean ± SD) were kidney (1.8 ± 0.5 mGy/MBq), liver (1.7 ± 0.3 mGy/MBq), and heart wall (1.2 ± 0.1 mGy/MBq). The average effective dose for 89Zr-ss-pertuzumab was 0.54 ± 0.03 mSv/MBq, which was comparable to both stochastically lysine-labeled 89Zr-DFO-pertuzumab and 89Zr-DFO-trastuzumab. One patient underwent PET/CT with both 89Zr-ss-pertuzumab and 89Zr-DFO-pertuzumab 1 mo apart, with 89Zr-ss-pertuzumab demonstrating improved lesion detection and higher tracer avidity. Conclusion: This study demonstrated the safety, dosimetry, and potential clinical applications of 89Zr-ss-pertuzumab PET/CT. 89Zr-ss-pertuzumab may detect more lesions than 89Zr-DFO-pertuzumab. Potential clinical applications include real-time evaluation of HER2 status to guide biopsy and assist in treatment decisions.
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Affiliation(s)
- Randy Yeh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York;
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Joseph A O'Donoghue
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Vetri Sudar Jayaprakasam
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Audrey Mauguen
- Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ryan Min
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sue Park
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Julia P Brockway
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Jacqueline F Bromberg
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - W Iris Zhi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark E Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Rachel Sanford
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Shanu Modi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Brian J Agnew
- Biosciences Division, Thermo Fisher Scientific, Eugene, Oregon
| | - Serge K Lyashchenko
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Jason S Lewis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
- Program in Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, California
- Departments of Radiology and Translational Genomics, University of Southern California, Los Angeles, California; and
| | - Brian M Zeglis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
- Department of Chemistry, Hunter College, New York, New York
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12
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Ulaner GA, Vaz SC. Women's Health Update: Growing Role of PET for Patients with Breast Cancer. Semin Nucl Med 2024; 54:247-255. [PMID: 38365547 DOI: 10.1053/j.semnuclmed.2024.01.007] [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: 01/24/2024] [Accepted: 01/28/2024] [Indexed: 02/18/2024]
Abstract
Positron Emission Tomography (PET) has been growing in usage for patients with breast cancer, due to an increased number of FDA-approved PET radiotracers pertinent to patients with breast cancer as well as increased prospective evidence for the value of these agents. The leading PET radiotracer for patients with breast cancer is 18F-fluorodeoxyglucose (18F-FDG), which measures glucose metabolism. There is prospective evidence for the use of 18F-FDG PET in systemic staging of newly diagnosed locally advanced breast cancer (stages IIB-IIIC), monitoring breast cancer treatment response, and detecting breast cancer recurrence, particularly in no special type (NST) breast cancer. 16α-18F-fluoro-17β-Fluoroestradiol (18F-FES) is a radiolabeled estrogen which evaluates estrogen receptor (ER) accessible for estrogen binding. There is prospective evidence supporting 18F-FES PET as a predictive biomarker for selecting patients with metastatic breast cancer for endocrine therapies. 18F-FES PET has also been shown to be valuable in the evaluation of ER status of lesions which are difficult to biopsy, for evaluation of ER status in lesions that are equivocal on other imaging modalities, and for selecting optimal dosage of novel ER-targeted systemic therapies in early clinical trials. Multiple investigators have suggested 18F-FES PET will have an increasing role for patients with invasive lobular breast cancer (ILC), which is less optimally evaluated by 18F-FDG PET. Sodium 18F-Fluoride (18F-NaF) evaluates bone turnover and has been effective in evaluation of malignancies which commonly metastasize to bone. In patients with metastatic breast cancer, 18F-NaF PET/CT has demonstrated superior sensitivity for osseous metastases than 99mTc-MDP or CT. In addition to these three FDA-approved PET radiotracers, there are multiple novel radiotracers currently in clinical trials with potential to further increase PET usage for patients with breast cancer.
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Affiliation(s)
- Gary A Ulaner
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, CA; Radiology, University of Southern California, Los Angeles, CA.
| | - Sofia Carrilho Vaz
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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13
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Castorina L, Comis AD, Prestifilippo A, Quartuccio N, Panareo S, Filippi L, Castorina S, Giuffrida D. Innovations in Positron Emission Tomography and State of the Art in the Evaluation of Breast Cancer Treatment Response. J Clin Med 2023; 13:154. [PMID: 38202160 PMCID: PMC10779934 DOI: 10.3390/jcm13010154] [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: 10/19/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
The advent of hybrid Positron Emission Tomography/Computed Tomography (PET/CT) and PET/Magnetic Resonance Imaging (MRI) scanners resulted in an increased clinical relevance of nuclear medicine in oncology. The use of [18F]-Fluorodeoxyglucose ([18F]FDG) has also made it possible to study tumors (including breast cancer) from not only a dimensional perspective but also from a metabolic point of view. In particular, the use of [18F]FDG PET allowed early confirmation of the efficacy or failure of therapy. The purpose of this review was to assess the literature concerning the response to various therapies for different subtypes of breast cancer through PET. We start by summarizing studies that investigate the validation of PET/CT for the assessment of the response to therapy in breast cancer; then, we present studies that compare PET imaging (including PET devices dedicated to the breast) with CT and MRI, focusing on the identification of the most useful parameters obtainable from PET/CT. We also focus on novel non-FDG radiotracers, as they allow for the acquisition of information on specific aspects of the new therapies.
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Affiliation(s)
- Luigi Castorina
- Nuclear Medicine Outpatient Unit, REM Radiotherapy Srl, Via Penninanzzo 11, 95029 Viagrande, Italy;
| | - Alessio Danilo Comis
- Nuclear Medicine Outpatient Unit, REM Radiotherapy Srl, Via Penninanzzo 11, 95029 Viagrande, Italy;
| | - Angela Prestifilippo
- Department of Oncology, IOM Mediterranean Oncology Institute, Via Penninanzzo 7, 95029 Viagrande, Italy; (A.P.); (D.G.)
| | - Natale Quartuccio
- Nuclear Medicine Unit, Ospedali Riuniti Villa Sofia-Cervello, 90146 Palermo, Italy;
| | - Stefano Panareo
- Nuclear Medicine Unit, Oncology and Haematology Department, University Hospital of Modena, 41124 Modena, Italy;
| | - Luca Filippi
- Nuclear Medicine Unit, Department of Oncohaematology, Fondazione PTV Policlinico Tor Vergata University Hospital, Viale Oxford 81, 00133 Rome, Italy;
| | - Serena Castorina
- Nuclear Medicine Unit, Azienda Ospedaliero Universitaria Policlinico “G. Rodolico-San Marco”, 95123 Catania, Italy
| | - Dario Giuffrida
- Department of Oncology, IOM Mediterranean Oncology Institute, Via Penninanzzo 7, 95029 Viagrande, Italy; (A.P.); (D.G.)
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14
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Chen H, Zhang LF, Miao Y, Xi Y, Li X, Liu MF, Zhang M, Li B. Verteporfin Suppresses YAP-Induced Glycolysis in Breast Cancer Cells. J INVEST SURG 2023; 36:2266732. [PMID: 37828756 DOI: 10.1080/08941939.2023.2266732] [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: 02/14/2023] [Accepted: 09/28/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE The inhibition of the Hippo pathway through targeting the Yes-associated protein (YAP) presents a novel and promising approach for treating tumors. However, the efficacy of YAP inhibitors in the context of breast cancer (BC) remains incompletely understood. Here, we aimed to investigate the involvement of YAP in BC's metabolic reprogramming and reveal the potential underlying mechanisms. To this end, we assessed the function of verteporfin (VP), a YAP-TEAD complex inhibitor, on the glycolytic activity of BC cells. METHODS We evaluated the expression of YAP by utilizing immunohistochemistry (IHC) in BC patients who have undergone 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) prior to biopsy/surgery. We employed RNA immunoprecipitation (RIP) and fluorescent in situ hybridization (FISH) assays to assess the interaction between YAP mRNA and human antigen R (HuR) in BC cells. The biological importance of YAP in the metabolism and malignancy of BC was evaluated in vitro. Finally, the effect of VP on glycolysis was determined by using 18F-FDG uptake, glucose consumption, and lactate production assays. RESULTS Our studies revealed that high expression of YAP was positively correlated with the maximum uptake value (SUVmax) determined by 18F-FDG PET/CT imaging in BC samples. Inhibition of YAP activity suppressed glycolysis in BC. The mechanism underlying this phenomenon could be the binding of YAP to HuR, which promotes glycolysis in BC cells. Treatment with VP effectively suppressed glycolysis induced by YAP overexpression in BC cells. CONCLUSION VP exhibited anti-glycolytic effect on BC cells, indicating its therapeutic value as an FDA-approved drug.
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Affiliation(s)
- Hong Chen
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling-Fei Zhang
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- State Key Laboratory of Molecular Biology, State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Ying Miao
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Xi
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefei Li
- Central Research Institute, United Imaging Healthcare Group Co., Ltd, Shanghai, China
| | - Mo-Fang Liu
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- State Key Laboratory of Molecular Biology, State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Min Zhang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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15
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Pigg N, Ward RC. Cryoablation for the Treatment of Breast Cancer: A Review of the Current Landscape and Future Possibilities. Acad Radiol 2023; 30:3086-3100. [PMID: 37596141 DOI: 10.1016/j.acra.2023.06.030] [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: 06/12/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 08/20/2023]
Abstract
Breast cancer is one of the most common malignancies worldwide. Traditional treatment options for breast cancer include surgery, radiation therapy, and chemotherapy. However, cryoablation, a minimally invasive technique, has emerged as a promising alternative for the treatment of early-stage breast cancer. This article aims to provide an overview of cryoablation, focusing on incorporation into practice, patient selection, procedural technique, imaging follow-up, post-treatment radiopathological findings, and current and ongoing research in the field. The current evidence suggests that cryoablation offers a safe and effective treatment option for selected patients, providing comparable oncological outcomes to traditional treatments while minimizing invasiveness and preserving breast aesthetics.
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Affiliation(s)
- Nicholas Pigg
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Women & Infants Hospital, Providence, Rhode Island.
| | - Robert C Ward
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Women & Infants Hospital, Providence, Rhode Island
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16
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Saleh GA, Batouty NM, Gamal A, Elnakib A, Hamdy O, Sharafeldeen A, Mahmoud A, Ghazal M, Yousaf J, Alhalabi M, AbouEleneen A, Tolba AE, Elmougy S, Contractor S, El-Baz A. Impact of Imaging Biomarkers and AI on Breast Cancer Management: A Brief Review. Cancers (Basel) 2023; 15:5216. [PMID: 37958390 PMCID: PMC10650187 DOI: 10.3390/cancers15215216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/13/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
Breast cancer stands out as the most frequently identified malignancy, ranking as the fifth leading cause of global cancer-related deaths. The American College of Radiology (ACR) introduced the Breast Imaging Reporting and Data System (BI-RADS) as a standard terminology facilitating communication between radiologists and clinicians; however, an update is now imperative to encompass the latest imaging modalities developed subsequent to the 5th edition of BI-RADS. Within this review article, we provide a concise history of BI-RADS, delve into advanced mammography techniques, ultrasonography (US), magnetic resonance imaging (MRI), PET/CT images, and microwave breast imaging, and subsequently furnish comprehensive, updated insights into Molecular Breast Imaging (MBI), diagnostic imaging biomarkers, and the assessment of treatment responses. This endeavor aims to enhance radiologists' proficiency in catering to the personalized needs of breast cancer patients. Lastly, we explore the augmented benefits of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications in segmenting, detecting, and diagnosing breast cancer, as well as the early prediction of the response of tumors to neoadjuvant chemotherapy (NAC). By assimilating state-of-the-art computer algorithms capable of deciphering intricate imaging data and aiding radiologists in rendering precise and effective diagnoses, AI has profoundly revolutionized the landscape of breast cancer radiology. Its vast potential holds the promise of bolstering radiologists' capabilities and ameliorating patient outcomes in the realm of breast cancer management.
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Affiliation(s)
- Gehad A. Saleh
- Diagnostic and Interventional Radiology Department, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt; (G.A.S.)
| | - Nihal M. Batouty
- Diagnostic and Interventional Radiology Department, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt; (G.A.S.)
| | - Abdelrahman Gamal
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Ahmed Elnakib
- Electrical and Computer Engineering Department, School of Engineering, Penn State Erie, The Behrend College, Erie, PA 16563, USA;
| | - Omar Hamdy
- Surgical Oncology Department, Oncology Centre, Mansoura University, Mansoura 35516, Egypt;
| | - Ahmed Sharafeldeen
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
| | - Ali Mahmoud
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Jawad Yousaf
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Marah Alhalabi
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates; (M.G.)
| | - Amal AbouEleneen
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Ahmed Elsaid Tolba
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
- The Higher Institute of Engineering and Automotive Technology and Energy, New Heliopolis, Cairo 11829, Egypt
| | - Samir Elmougy
- Computer Science Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt (A.E.T.)
| | - Sohail Contractor
- Department of Radiology, University of Louisville, Louisville, KY 40202, USA
| | - Ayman El-Baz
- Bioengineering Department, University of Louisville, Louisville, KY 40292, USA
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17
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Gram-Nielsen R, Christensen IY, Naghavi-Behzad M, Dahlsgaard-Wallenius SE, Jakobsen NM, Gerke O, Jensen JD, Ewertz M, Hildebrandt MG, Vogsen M. The Pattern of Metastatic Breast Cancer: A Prospective Head-to-Head Comparison of [ 18F]FDG-PET/CT and CE-CT. J Imaging 2023; 9:222. [PMID: 37888329 PMCID: PMC10607582 DOI: 10.3390/jimaging9100222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023] Open
Abstract
The study aimed to compare the metastatic pattern of breast cancer and the intermodality proportion of agreement between [18F]FDG-PET/CT and CE-CT. Women with metastatic breast cancer (MBC) were enrolled prospectively and underwent a combined [18F]FDG-PET/CT and CE-CT scan to diagnose MBC. Experienced nuclear medicine and radiology physicians evaluated the scans blinded to the opposite scan results. Descriptive statistics were applied, and the intermodality proportion of agreement was used to compare [18F]FDG-PET/CT and CE-CT. In total, 76 women with verified MBC were enrolled in the study. The reported number of site-specific metastases for [18F]FDG-PET/CT vs. CE-CT was 53 (69.7%) vs. 44 (57.9%) for bone lesions, 31 (40.8%) vs. 43 (56.6%) for lung lesions, and 16 (21.1%) vs. 23 (30.3%) for liver lesions, respectively. The proportion of agreement between imaging modalities was 76.3% (95% CI 65.2-85.3) for bone lesions; 82.9% (95% CI 72.5-90.6) for liver lesions; 57.9% (95% CI 46.0-69.1) for lung lesions; and 59.2% (95% CI 47.3-70.4) for lymph nodes. In conclusion, bone and distant lymph node metastases were reported more often by [18F]FDG-PET/CT than CE-CT, while liver and lung metastases were reported more often by CE-CT than [18F]FDG-PET/CT. Agreement between scans was highest for bone and liver lesions and lowest for lymph node metastases.
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Affiliation(s)
- Rosa Gram-Nielsen
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
| | | | - Mohammad Naghavi-Behzad
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
- Centre for Personalized Response Monitoring in Oncology (PREMIO), Odense University Hospital, DK-5000 Odense, Denmark
| | - Sara Elisabeth Dahlsgaard-Wallenius
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Nuclear Medicine, University Hospital of Southern Denmark, DK-7100 Vejle, Denmark
| | - Nick Møldrup Jakobsen
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
| | - Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
| | | | - Marianne Ewertz
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
| | - Malene Grubbe Hildebrandt
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
- Department of Nuclear Medicine, University Hospital of Southern Denmark, DK-7100 Vejle, Denmark
- Centre for Innovative Medical Technology, Odense University Hospital, DK-5000 Odense, Denmark
| | - Marianne Vogsen
- Department of Nuclear Medicine, Odense University Hospital, DK-5000 Odense, Denmark; (R.G.-N.); (M.N.-B.); (S.E.D.-W.); (N.M.J.); (M.G.H.)
- Department of Clinical Research, University of Southern Denmark, DK-5000 Odense, Denmark;
- Centre for Personalized Response Monitoring in Oncology (PREMIO), Odense University Hospital, DK-5000 Odense, Denmark
- Department of Oncology, Odense University Hospital, DK-5000 Odense, Denmark;
- Odense Patient Data Explorative Network, Odense University Hospital, DK-5000 Odense, Denmark
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18
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Abstract
Breast cancer (BC) remains one of the leading causes of death among women. The management and outcome in BC are strongly influenced by a multidisciplinary approach, which includes available treatment options and different imaging modalities for accurate response assessment. Among breast imaging modalities, MR imaging is the modality of choice in evaluating response to neoadjuvant therapy, whereas F-18 Fluorodeoxyglucose positron emission tomography, conventional computed tomography (CT), and bone scan play a vital role in assessing response to therapy in metastatic BC. There is an unmet need for a standardized patient-centric approach to use different imaging methods for response assessment.
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Affiliation(s)
- Saima Muzahir
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, 1364 Clifton Road, Atlanta GA 30322, USA; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Room E152, 1364 Clifton Road, Atlanta, GA 30322, USA.
| | - Gary A Ulaner
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, CA, USA; Radiology and Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | - David M Schuster
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Room E152, 1364 Clifton Road, Atlanta, GA 30322, USA
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19
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Cecil K, Huppert L, Mukhtar R, Dibble EH, O'Brien SR, Ulaner GA, Lawhn-Heath C. Metabolic Positron Emission Tomography in Breast Cancer. PET Clin 2023; 18:473-485. [PMID: 37369614 DOI: 10.1016/j.cpet.2023.04.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
Metabolic PET, most commonly 18F-fluorodeoxyglucose (FDG) PET/computed tomography (CT), has had a major impact on the imaging of breast cancer and can have important clinical applications in appropriate patients. While limited for screening, FDG PET/CT outperforms conventional imaging in locally advanced breast cancer. FDG PET/CT is more sensitive than conventional imaging in assessing treatment response, accurately predicting complete response or nonresponse in early-stage cases. It also aids in determining disease extent and treatment response in the metastatic setting. Further research, including randomized controlled trials with FDG and other metabolic agents such as fluciclovine, is needed for optimal breast cancer imaging.
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Affiliation(s)
- Katherine Cecil
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Laura Huppert
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Rita Mukhtar
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA; Department of Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Elizabeth H Dibble
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, RI, USA
| | - Sophia R O'Brien
- Divisions of Molecular Imaging and Therapy Breast Imaging, Department of Radiology, The Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Gary A Ulaner
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Irvine, CA, USA; Departments of Radiology and Translational Genomics, University of Southern California, Los Angeles, CA, USA
| | - Courtney Lawhn-Heath
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.
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20
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Fardanesh R, Beavers K, Jochelson MS, Ulaner GA. Value of subspecialist second opinion reads of 18 F-FDG PET-CT examinations for patients with breast cancer. Nucl Med Commun 2023; 44:825-829. [PMID: 37395540 DOI: 10.1097/mnm.0000000000001726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
OBJECTIVES Determine if subspecialist second opinion review alters reporting of malignancy on 18 F-FDG PET/CT for patients with breast cancer. METHODS This IRB-approved retrospective study compared 248 s opinion reads of 18 F-FDG PET/CT exams performed for patients with breast cancer against the original outside institution reports. Subspecialist reviews documented if malignant findings on the outside report were believed to be malignant and noted additional malignant findings not described on the outside report. Reference standard for malignancy or benignity was determined by pathology or follow-up imaging. RESULTS Of 248 cases, 27 (11%) had discrepancies in the presence or absence of extra-axillary nodal or distant metastases. Of these 27, 14 (52%) had biopsy or imaging follow-up as a reference standard for malignancy/benignity. In cases with reference standard proof, the subspecialist second opinion review was correct in 13/14 (93%) of cases. This included eleven cases that the original report called malignant, but the subspecialist review called benign and subsequently proven to be benign; as well as two metastases called on subspecialist review, but not on the original report, and subsequently biopsy proven to be metastases. In one case, the second opinion read called a suspicious lesion that was biopsy proven to be benign. CONCLUSION Subspecialist review improves the accuracy of diagnosis for the presence or absence of malignancy on FDG PET/CT examinations in patients with breast cancer. This demonstrates the value of performing second opinion reads of 18 F-FDG PET/CT studies in patients with breast cancer, particularly by subspecialist second opinion review reducing false positive reads.
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Affiliation(s)
- Reza Fardanesh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiologic Sciences, University of California, Los Angeles, Los Angeles, California
| | - Kimberly Beavers
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, AdventHealth Medical Group, Orlando, Florida
| | - Maxine S Jochelson
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Molecular Imaging and Therapy, Hoag Family Cancer Institute, Newport Beach, Departments of
- Radiology
- Translational Genomics, University of Southern California, Los Angeles, California, USA
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21
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Jia T, Lv Q, Cai X, Ge S, Sang S, Zhang B, Yu C, Deng S. Radiomic signatures based on pretreatment 18F-FDG PET/CT, combined with clinicopathological characteristics, as early prognostic biomarkers among patients with invasive breast cancer. Front Oncol 2023; 13:1210125. [PMID: 37576897 PMCID: PMC10415070 DOI: 10.3389/fonc.2023.1210125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/06/2023] [Indexed: 08/15/2023] Open
Abstract
Purpose The aim of this study was to investigate the predictive role of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in the prognostic risk stratification of patients with invasive breast cancer (IBC). To achieve this, we developed a clinicopathologic-radiomic-based model (C-R model) and established a nomogram that could be utilized in clinical practice. Methods We retrospectively enrolled a total of 91 patients who underwent preoperative 18F-FDG PET/CT and randomly divided them into training (n=63) and testing cohorts (n=28). Radiomic signatures (RSs) were identified using the least absolute shrinkage and selection operator (LASSO) regression algorithm and used to compute the radiomic score (Rad-score). Patients were assigned to high- and low-risk groups based on the optimal cut-off value of the receiver operating characteristic (ROC) curve analysis for both Rad-score and clinicopathological risk factors. Univariate and multivariate Cox regression analyses were performed to determine the association between these variables and progression-free survival (PFS) or overall survival (OS). We then plotted a nomogram integrating all these factors to validate the predictive performance of survival status. Results The Rad-score, age, clinical M stage, and minimum standardized uptake value (SUVmin) were identified as independent prognostic factors for predicting PFS, while only Rad-score, age, and clinical M stage were found to be prognostic factors for OS in the training cohort. In the testing cohort, the C-R model showed superior performance compared to single clinical or radiomic models. The concordance index (C-index) values for the C-R model, clinical model, and radiomic model were 0.816, 0.772, and 0.647 for predicting PFS, and 0.882, 0.824, and 0.754 for OS, respectively. Furthermore, decision curve analysis (DCA) and calibration curves demonstrated that the C-R model had a good ability for both clinical net benefit and application. Conclusion The combination of clinicopathological risks and baseline PET/CT-derived Rad-score could be used to evaluate the prognosis in patients with IBC. The predictive nomogram based on the C-R model further enhanced individualized estimation and allowed for more accurate prediction of patient outcomes.
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Affiliation(s)
- Tongtong Jia
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qingfu Lv
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaowei Cai
- Department of Nuclear Medicine, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, China
| | - Shushan Ge
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shibiao Sang
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Zhang
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
| | - Chunjing Yu
- Department of Nuclear Medicine, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Shengming Deng
- Department of Nuclear Medicine, the First Affiliated Hospital of Soochow University, Suzhou, China
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22
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Werner S, Sekler J, Gückel B, la Fougère C, Nikolaou K, Pfannenberg C, Preibsch H, Engler T, Olthof SC. Influence of [ 18F]FDG-PET/CT on Clinical Management Decisions in Breast Cancer Patients-A PET/CT Registry Study. Diagnostics (Basel) 2023; 13:2420. [PMID: 37510164 PMCID: PMC10378166 DOI: 10.3390/diagnostics13142420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/30/2023] [Accepted: 07/15/2023] [Indexed: 07/30/2023] Open
Abstract
There is a lack of evidence regarding the clinical impact of [18F]fluorodeoxyglucose positron emission tomography/computed tomography ([18F]FDG-PET/CT, hereinafter referred to as PET/CT), especially regarding management changes and their link to overall survival. We analyzed 52 PET/CTs in 47 stage I-IV breast cancer patients, selected from a prospective oncological PET/CT registry. Indications for PET/CT were primary staging (n = 15), restaging (n = 17), and suspected recurrence (n = 20). PET/CT-induced management changes were categorized as major or minor. PET/CT-induced management changes in 41 of 52 scans (78.8%; 38 of 47 patients (80.9%)), of which major changes were suggested in 18 of 52 scans (34.6%, 17 of 47 patients, 36.2%). PET/CT downstaged 6 of 15 primary staging patients, excluding distant metastases. Major management changes were documented in 3 of 17 restaging exams. PET/CT ruled out clinically suspected recurrence in 6 of 20 cases and confirmed it in 11 of 20. In three cases, locoregional recurrence had already been diagnosed via biopsy. In 30 of 52 exams, additional diagnostic tests were avoided, of which 13 were invasive. PET/CT-based management changes resulted in a 5-year survival rate of 72.3% for the whole study group, 93.3% for the staging group, 53.8% for the restaging group, and 68.4% for the recurrence group. This study shows that PET/CT significantly impacts clinical management decisions in breast cancer patients in different clinical scenarios, potentially determining the patient's tumor stage as the basis for further therapy more reliably and by avoiding unnecessary diagnostic tests.
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Affiliation(s)
- Sebastian Werner
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
| | - Julia Sekler
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
- Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital of Tuebingen, Otfried-Mueller-Straße 14, 72076 Tuebingen, Germany
| | - Brigitte Gückel
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
- Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital of Tuebingen, Otfried-Mueller-Straße 14, 72076 Tuebingen, Germany
| | - Christian la Fougère
- Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital of Tuebingen, Otfried-Mueller-Straße 14, 72076 Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Faculty of Medicine, Eberhard Karls University, 72076 Tuebingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tuebingen, 72076 Tuebingen, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Faculty of Medicine, Eberhard Karls University, 72076 Tuebingen, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Partner Site Tuebingen, 72076 Tuebingen, Germany
| | - Christina Pfannenberg
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
| | - Heike Preibsch
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
| | - Tobias Engler
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", Faculty of Medicine, Eberhard Karls University, 72076 Tuebingen, Germany
- Department of Women's Health, University Hospital Tuebingen, Calwer-Straße 7, 72076 Tuebingen, Germany
| | - Susann-Cathrin Olthof
- Department of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Straße 3, 72076 Tuebingen, Germany
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Jia T, Lv Q, Zhang B, Yu C, Sang S, Deng S. Assessment of androgen receptor expression in breast cancer patients using 18 F-FDG PET/CT radiomics and clinicopathological characteristics. BMC Med Imaging 2023; 23:93. [PMID: 37460990 PMCID: PMC10353086 DOI: 10.1186/s12880-023-01052-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 06/30/2023] [Indexed: 07/20/2023] Open
Abstract
OBJECTIVE In the present study, we mainly aimed to predict the expression of androgen receptor (AR) in breast cancer (BC) patients by combing radiomic features and clinicopathological factors in a non-invasive machine learning way. MATERIALS AND METHODS A total of 48 BC patients, who were initially diagnosed by 18F-FDG PET/CT, were retrospectively enrolled in this study. LIFEx software was used to extract radiomic features based on PET and CT data. The most useful predictive features were selected by the LASSO (least absolute shrinkage and selection operator) regression and t-test. Radiomic signatures and clinicopathologic characteristics were incorporated to develop a prediction model using multivariable logistic regression analysis. The receiver operating characteristic (ROC) curve, Hosmer-Lemeshow (H-L) test, and decision curve analysis (DCA) were conducted to assess the predictive efficiency of the model. RESULTS In the univariate analysis, the metabolic tumor volume (MTV) was significantly correlated with the expression of AR in BC patients (p < 0.05). However, there only existed feeble correlations between estrogen receptor (ER), progesterone receptor (PR), and AR status (p = 0.127, p = 0.061, respectively). Based on the binary logistic regression method, MTV, SHAPE_SphericityCT (CT Sphericity from SHAPE), and GLCM_ContrastCT (CT Contrast from grey-level co-occurrence matrix) were included in the prediction model for AR expression. Among them, GLCM_ContrastCT was an independent predictor of AR status (OR = 9.00, p = 0.018). The area under the curve (AUC) of ROC in this model was 0.832. The p-value of the H-L test was beyond 0.05. CONCLUSIONS A prediction model combining radiomic features and clinicopathological characteristics could be a promising approach to predict the expression of AR and noninvasively screen the BC patients who could benefit from anti-AR regimens.
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Affiliation(s)
- Tongtong Jia
- Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Qingfu Lv
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Bin Zhang
- Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Chunjing Yu
- Department of Nuclear Medicine, Affiliated Hospital of Jiangnan University, Wuxi, 214122, China.
| | - Shibiao Sang
- Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
| | - Shengming Deng
- Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
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24
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Morawitz J, Bruckmann NM, Jannusch K, Dietzel F, Milosevic A, Bittner AK, Hoffmann O, Mohrmann S, Ruckhäberle E, Häberle L, Fendler WP, Herrmann K, Giesel FL, Antoch G, Umutlu L, Kowall B, Stang A, Kirchner J. Conventional Imaging, MRI and 18F-FDG PET/MRI for N and M Staging in Patients with Newly Diagnosed Breast Cancer. Cancers (Basel) 2023; 15:3646. [PMID: 37509307 PMCID: PMC10377867 DOI: 10.3390/cancers15143646] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/08/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
Background: This study compares the diagnostic potential of conventional staging (computed tomography (CT), axillary sonography and bone scintigraphy), whole-body magnetic resonance imaging (MRI) and whole-body 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET/)MRI for N and M staging in newly diagnosed breast cancer. Methods: A total of 208 patients with newly diagnosed breast cancer were prospectively included in this study and underwent contrast-enhanced thoracoabdominal CT, bone scintigraphy and axillary sonography as well as contrast-enhanced whole-body 18F-FDG PET/MRI. The datasets were analyzed with respect to lesion localization and characterization. Histopathology and follow-up imaging served as the reference standard. A McNemar test was used to compare the diagnostic performance of conventional staging, MRI and 18F-FDG PET/MRI and a Wilcoxon test was used to compare differences in true positive findings for nodal staging. Results: Conventional staging determined the N stage with a sensitivity of 80.9%, a specificity of 99.2%, a PPV (positive predictive value) of 98.6% and a NPV (negative predictive value) of 87.4%. The corresponding results for MRI were 79.6%, 100%, 100% and 87.0%, and were 86.5%, 94.1%, 91.7% and 90.3% for 18F-FDG PET/MRI. 18F-FDG PET/MRI was significantly more sensitive in determining malignant lymph nodes than conventional imaging and MRI (p < 0.0001 and p = 0.0005). Furthermore, 18F-FDG PET/MRI accurately estimated the clinical lymph node stage in significantly more cases than conventional imaging and MRI (each p < 0.05). Sensitivity, specificity, PPV and NPV for the M stage in conventional staging were 83.3%, 98.5%, 76.9% and 98.9%, respectively. The corresponding results for both MRI and 18F-FDG PET/MRI were 100.0%, 98.5%, 80.0% and 100.0%. No significant differences between the imaging modalities were seen for the staging of distant metastases. Conclusions:18F-FDG PET/MRI detects lymph node metastases in significantly more patients and estimates clinical lymph node stage more accurately than conventional imaging and MRI. No significant differences were found between imaging modalities with respect to the detection of distant metastases.
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Affiliation(s)
- Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Nils-Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Aleksandar Milosevic
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Oliver Hoffmann
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Eugen Ruckhäberle
- Department of Gynecology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Lena Häberle
- Institute of Pathology, Medical Faculty, University Hospital Duesseldorf, Heinrich-Heine-University, D-40204 Duesseldorf, Germany
| | - Wolfgang Peter Fendler
- Department of Nuclear Medicine, German Cancer Consortium (DKTK)-University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, German Cancer Consortium (DKTK)-University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Frederik Lars Giesel
- Department of Nuclear Medicine, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147 Essen, Germany
| | - Bernd Kowall
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, D-45147 Essen, Germany
| | - Andreas Stang
- Institute of Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, D-45147 Essen, Germany
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, D-40225 Dusseldorf, Germany
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25
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Lother D, Robert M, Elwood E, Smith S, Tunariu N, Johnston SRD, Parton M, Bhaludin B, Millard T, Downey K, Sharma B. Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives. Cancer Imaging 2023; 23:53. [PMID: 37254225 DOI: 10.1186/s40644-023-00557-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 04/17/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Breast cancer is the most frequent cancer in women and remains the second leading cause of death in Western countries. It represents a heterogeneous group of diseases with diverse tumoral behaviour, treatment responsiveness and prognosis. While major progress in diagnosis and treatment has resulted in a decline in breast cancer-related mortality, some patients will relapse and prognosis in this cohort of patients remains poor. Treatment is determined according to tumor subtype; primarily hormone receptor status and HER2 expression. Menopausal status and site of disease relapse are also important considerations in treatment protocols. MAIN BODY Staging and repeated evaluation of patients with metastatic breast cancer are central to the accurate assessment of disease extent at diagnosis and during treatment; guiding ongoing clinical management. Advances have been made in the diagnostic and therapeutic fields, particularly with new targeted therapies. In parallel, oncological imaging has evolved exponentially with the development of functional and anatomical imaging techniques. Consistent, reproducible and validated methods of assessing response to therapy is critical in effectively managing patients with metastatic breast cancer. CONCLUSION Major progress has been made in oncological imaging over the last few decades. Accurate disease assessment at diagnosis and during treatment is important in the management of metastatic breast cancer. CT (and BS if appropriate) is generally widely available, relatively cheap and sufficient in many cases. However, several additional imaging modalities are emerging and can be used as adjuncts, particularly in pregnancy or other diagnostically challenging cases. Nevertheless, no single imaging technique is without limitation. The authors have evaluated the vast array of imaging techniques - individual, combined parametric and multimodal - that are available or that are emerging in the management of metastatic breast cancer. This includes WB DW-MRI, CCA, novel PET breast cancer-epitope specific radiotracers and radiogenomics.
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Affiliation(s)
| | - Marie Robert
- Institut de Cancérologie de l'Ouest, St Herblain, France
| | | | - Sam Smith
- The Royal Marsden Hospital, London & Sutton, UK
| | - Nina Tunariu
- The Royal Marsden Hospital, London & Sutton, UK
- The Institute of Cancer Research (ICR), London & Sutton, UK
| | - Stephen R D Johnston
- The Royal Marsden Hospital, London & Sutton, UK
- The Institute of Cancer Research (ICR), London & Sutton, UK
| | | | | | | | - Kate Downey
- The Royal Marsden Hospital, London & Sutton, UK
- The Institute of Cancer Research (ICR), London & Sutton, UK
| | - Bhupinder Sharma
- The Royal Marsden Hospital, London & Sutton, UK.
- The Institute of Cancer Research (ICR), London & Sutton, UK.
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26
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Ulaner GA. Breast Cancer and Physiologic Avidity From Breast Feeding on FDG PET/CT. Clin Nucl Med 2023; 48:420-421. [PMID: 36800273 DOI: 10.1097/rlu.0000000000004491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
ABSTRACT A 35-year-old woman presented with breast cancer diagnosed during pregnancy. Eleven days after delivery, the patient underwent FDG PET/CT for systemic staging. Avidity was seen diffusely in both breasts, with a more avid focus at the site of a biopsy clip in the right breast. There were no lymph nodes or distant metastases. The patient was actively breast feeding, explaining the diffuse breast avidity. This case demonstrates both malignant and benign FDG avidity in the breasts at the same time, with a focal FDG-avid right breast malignancy identified among bilateral breast parenchyma with elevated physiologic FDG-avid secondary to breast feeding.
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27
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Vogsen M, Harbo F, Jakobsen NM, Nissen HJ, Dahlsgaard-Wallenius SE, Gerke O, Jensen JD, Asmussen JT, Jylling AMB, Braad PE, Vach W, Ewertz M, Hildebrandt MG. Response Monitoring in Metastatic Breast Cancer: A Prospective Study Comparing 18F-FDG PET/CT with Conventional CT. J Nucl Med 2023; 64:355-361. [PMID: 36207136 PMCID: PMC10071809 DOI: 10.2967/jnumed.121.263358] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 09/14/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to compare contrast-enhanced CT (CE-CT) and 18F-FDG PET/CT for response monitoring in metastatic breast cancer using the standardized response evaluation criteria RECIST 1.1 and PERCIST. The objective was to examine whether progressive disease was detected systematically earlier by one of the modalities. Methods: Women with biopsy-verified metastatic breast cancer were enrolled prospectively and monitored using combined CE-CT and 18F-FDG PET/CT every 9-12 wk to evaluate response to first-line treatment. CE-CT scans and RECIST 1.1 were used for clinical decision-making without accessing the 18F-FDG PET/CT scans. At study completion, 18F-FDG PET/CT scans were unmasked and assessed according to PERCIST. Visual assessment was used if response criteria could not be applied. The modality-specific time to progression was defined as the time from the baseline scan until the first scan demonstrating progression. Paired comparative analyses for CE-CT versus 18F-FDG PET/CT were applied, and the primary endpoint was earlier detection of progression by one modality. Secondary endpoints were time to detection of progression, response categorization, visualization of changes in response over time, and measurable disease according to RECIST and PERCIST. Results: In total, 87 women were evaluable, with a median of 6 (1-11) follow-up scans. Progression was detected first by 18F-FDG PET/CT in 43 (49.4%) of 87 patients and first by CE-CT in 1 (1.15%) of 87 patients (P < 0.0001). Excluding patients without progression (n = 32), progression was seen first on 18F-FDG PET/CT in 78.2% (43/55) of patients. The median time from detection of progression by 18F-FDG PET/CT to that of CE-CT was 6 mo (95% CI, 4.3-6.4 mo). At baseline, 76 (87.4%) of 87 patients had measurable disease according to PERCIST and 51 (58.6%) of 87 patients had measurable disease according to RECIST 1.1. Moreover, 18F-FDG PET/CT provided improved visualization of changes in response over time, as seen in the graphical abstract. Conclusion: Disease progression was detected earlier by 18F-FDG PET/CT than by CE-CT in most patients, with a potentially clinically relevant median 6-mo delay for CE-CT. More patients had measurable disease according to PERCIST than according to RECIST 1.1. The magnitude of the final benefit for patients is a perspective for future research.
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Affiliation(s)
- Marianne Vogsen
- Department of Oncology, Odense University Hospital, Odense, Denmark;
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Odense Patient Data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
- Centre for Personalized Response Monitoring in Oncology (PREMIO), Odense University Hospital, Odense, Denmark
| | - Frederik Harbo
- Department of Radiology, Odense University Hospital, Odense, Denmark
| | - Nick M Jakobsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
| | - Henriette J Nissen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
| | | | - Oke Gerke
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | | | - Jon T Asmussen
- Department of Radiology, Odense University Hospital, Odense, Denmark
| | - Anne Marie B Jylling
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Pathology, Odense University Hospital, Odense, Denmark
| | - Poul-Erik Braad
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
| | - Werner Vach
- Basel Academy for Quality and Research in Medicine, Basel, Switzerland; and
| | - Marianne Ewertz
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Malene G Hildebrandt
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Centre for Personalized Response Monitoring in Oncology (PREMIO), Odense University Hospital, Odense, Denmark
- Centre for Innovative Medical Technology, Odense University Hospital, Odense, Denmark
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28
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Hadebe B, Harry L, Ebrahim T, Pillay V, Vorster M. The Role of PET/CT in Breast Cancer. Diagnostics (Basel) 2023; 13:diagnostics13040597. [PMID: 36832085 PMCID: PMC9955497 DOI: 10.3390/diagnostics13040597] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/05/2023] [Accepted: 01/16/2023] [Indexed: 02/08/2023] Open
Abstract
Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer worldwide, with an estimated 2.3 million new cases (11.7%), followed by lung cancer (11.4%) The current literature and the National Comprehensive Cancer Network (NCCN) guidelines state that 18F-FDG PET/CT is not routine for early diagnosis of breast cancer, and rather PET/CT scanning should be performed for patients with stage III disease or when conventional staging studies yield non-diagnostic or suspicious results because this modality has been shown to upstage patients compared to conventional imaging and thus has an impact on disease management and prognosis. Furthermore, with the growing interest in precision therapy in breast cancer, numerous novel radiopharmaceuticals have been developed that target tumor biology and have the potential to non-invasively guide the most appropriate targeted therapy. This review discusses the role of 18F-FDG PET and other PET tracers beyond FDG in breast cancer imaging.
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Affiliation(s)
- Bawinile Hadebe
- Department of Nuclear Medicine, College of Health Sciences, University of KwaZulu Natal, Private Bag X54001, Durban 4001, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban 4001, South Africa
- Correspondence:
| | - Lerwine Harry
- Department of Nuclear Medicine, College of Health Sciences, University of KwaZulu Natal, Private Bag X54001, Durban 4001, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban 4001, South Africa
| | - Tasmeera Ebrahim
- Department of Nuclear Medicine, College of Health Sciences, University of KwaZulu Natal, Private Bag X54001, Durban 4001, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban 4001, South Africa
| | - Venesen Pillay
- Department of Nuclear Medicine, College of Health Sciences, University of KwaZulu Natal, Private Bag X54001, Durban 4001, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban 4001, South Africa
| | - Mariza Vorster
- Department of Nuclear Medicine, College of Health Sciences, University of KwaZulu Natal, Private Bag X54001, Durban 4001, South Africa
- Inkosi Albert Luthuli Central Hospital, Durban 4001, South Africa
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Yuge S, Miyake KK, Ishimori T, Kataoka M, Matsumoto Y, Fujimoto K, Sugie T, Toi M, Nakamoto Y. Reproducibility assessment of uptake on dedicated breast PET for noise discrimination. Ann Nucl Med 2023; 37:121-130. [PMID: 36434200 DOI: 10.1007/s12149-022-01809-6] [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: 09/21/2022] [Accepted: 11/13/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Dedicated breast PET (dbPET) systems have improved the detection of small breast cancers but have increased false-positive diagnoses due to an increased chance of noise detection. This study examined whether reproducibility assessment using paired images helped to improve noise discrimination and diagnostic performance in dbPET. METHODS This study included 21 patients with newly diagnosed breast cancer who underwent [18F]FDG-dbPET and contrast-enhanced breast MRI. A 10-min dbPET data scan was acquired per breast, and two sets of reconstructed images were generated (named dbPET-1 and dbPET-2, respectively), each of which consisted of randomly allocated 5-min data from the 10-min data. Uptake spots higher than the background were indexed for the study with visual assessment. All indexed uptakes on dbPET-1 were evaluated using dbPET-2 for reproducibility. MRI findings based on the Breast Imaging-Reporting and Data System (BI-RADS) 2013 were used as the gold standard. Uptake spots that corresponded to BI-RADS 1 on MRI were considered noise, while those with BI-RADS 4b-6 were considered malignancies. The diagnostic performance of dbPET for malignancy was evaluated using four different criteria: any uptake on dbPET-1 regarded as positive (criterion A), a subjective visual assessment of dbPET-1 (criterion B), reproducibility assessment between dbPET-1 and dbPET-2 (criterion C), and a combination of B and C (criterion D). RESULTS A total of 213 indexed uptake spots were identified on dbPET-1, including 152, 15, 6, 6, and 34 lesions classified as BI-RADS MRI categories 1, 2, 4b, 4c, and 5, respectively. Overall, 31.9% of the index uptake values were reproducible. All malignant lesions were reproducible, whereas 93.4% of noise was not reproducible. The sensitivities for malignancy for criteria A, B, C, and D were 100%, 91.3%, 100%, and 91.3%, respectively, with positive predictive values (PPVs) of 21.4%, 68.9%, 67.6%, and 82.4%, respectively. CONCLUSIONS Our results demonstrated that reproducibility assessment helped reduce false-positive findings caused by noise on dbPET without lowering the sensitivity for malignancy. While subjective visual assessment was also efficient in increasing PPV, it occasionally missed malignant uptake.
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Affiliation(s)
- Shunsuke Yuge
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
| | - Kanae K Miyake
- Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-Cho, Sakyo-Ku, Kyoto City, Kyoto, Japan, 606-8507.
| | - Takayoshi Ishimori
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
| | - Masako Kataoka
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
| | - Yoshiaki Matsumoto
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
| | - Koji Fujimoto
- Department of Real World Data Research and Development, Kyoto University Graduate School of Medicine, Kyoto City, Kyoto, Japan
| | - Tomoharu Sugie
- Department of Breast Surgery, Kansai Medical University Hospital, Hirakata City, Osaka, Japan
| | - Masakazu Toi
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto City, Kyoto, Japan
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Pigg N, Gordillo C, Wang Y, Ward RC. Breast cancer cryoablation with radiologic-pathologic correlation. Br J Radiol 2022; 95:20220480. [PMID: 36000723 PMCID: PMC9733605 DOI: 10.1259/bjr.20220480] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/26/2022] [Accepted: 07/30/2022] [Indexed: 11/05/2022] Open
Abstract
Breast cryoablation has become a viable option for the treatment of breast cancer in properly selected patient populations. With the increase in the use of cryoablation, post-treatment follow-up imaging and pathology has also gained increased importance. By using the proper imaging combination of diagnostic mammography, ultrasound and MRI, physicians are able to detect residual or recurrent malignancy and differentiate it from expected post-treatment findings. If suspicious imaging findings are seen, prompt biopsy and pathological diagnosis are essential. The pathologist must also be able to differentiate the expected post-procedural histological findings from those of recurrent or residual malignancy. These imaging and pathological findings must also be compared in order to ensure concordance and appropriate patient treatment.
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Affiliation(s)
- Nicholas Pigg
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University Rhode Island Hospital, Women & Infants Hospital Providence, Providence, Rhode Island, United States
| | - Claudia Gordillo
- Department of Diagnostic Imaging, Aventura Hospital & Medical Center Aventura, Florida, United States
| | - Yihong Wang
- Department of Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University Rhode Island Hospital Providence, Rhode Island, United States
| | - Robert C. Ward
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University Rhode Island Hospital, Women & Infants Hospital Providence, Rhode Island, United States
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Oda G, Nakagawa T, Mori H, Onishi I, Fujioka T, Mori M, Kubota K, Hanazawa R, Hirakawa A, Ishikawa T, Okamoto K, Uetakesszsz H. Factors predicting upstaging from clinical N0 to pN2a/N3a in breast cancer patients. World J Clin Oncol 2022; 13:748-757. [PMID: 36212601 PMCID: PMC9537504 DOI: 10.5306/wjco.v13.i9.748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/25/2022] [Accepted: 09/06/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND With sentinel node metastasis in breast cancer (BC) patients, axillary lymph node (ALN) dissection is often omitted from cases with breast-conserving surgery. Omission of lymph node dissection reduces the invasiveness of surgery to the patient, but it also obscures the number of metastases to non-sentinel nodes. The possibility of finding ≥ 4 lymph nodes (pN2a/pN3a) preoperatively is important given the ramifications for postoperative treatment.
AIM To search for clinicopathological factors that predicts upstaging from N0 to pN2a/pN3a.
METHODS Patients who were sentinel lymph node (SLN)-positive and underwent ALN dissection between September 2007 and August 2018 were selected by retrospective chart review. All patients had BC diagnosed preoperatively as N0 with axillary evaluation by fluorodeoxyglucose (FDG) positron emission tomography/computed tomography and ultrasound (US) examination. When suspicious FDG accumulation was found in ALN, the presence of metastasis was reevaluated by second US. We examined predictors of upstaging from N0 to pN2a/pN3a.
RESULTS Among 135 patients, we identified 1-3 ALNs (pN1) in 113 patients and ³4 ALNs (pN2a/pN3a) in 22 patients. Multivariate analysis identified the total number of SLN metastasis, the maximal diameter of metastasis in the SLN (SLNDmax), and FDG accumulation of ALN as predictors of upstaging to pN2a/pN3a.
CONCLUSION We identified factors involved in upstaging from N0 to pN2a/pN3a. The SLNDmax and number of SLN metastasis are predictors of ≥ 4 ALNs (pN2a/pN3a) and predictors of metastasis to non-sentinel nodes, which have been reported in the past. Attention should be given to axillary accumulations of FDG, even when faint.
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Affiliation(s)
- Goshi Oda
- Department of Breast Surgery, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Tsuyoshi Nakagawa
- Department of Breast Surgery, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Hiroki Mori
- Department of Plastic and Reconstructive Surgery, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Iichiro Onishi
- Department of Pathology, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Tomoyuki Fujioka
- Department of Radiology, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Mio Mori
- Department of Radiology, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Kazunori Kubota
- Department of Radiology, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Ryoichi Hanazawa
- Department of Clinical Biostatistics, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Akihiro Hirakawa
- Department of Clinical Biostatistics, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Toshiaki Ishikawa
- Department of Specialized Surgeries, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Kentaro Okamoto
- Department of Specialized Surgeries, Tokyo Medical and Dental University, Tokyo 1138519, Japan
| | - Hiroyuki Uetakesszsz
- Department of Specialized Surgeries, Tokyo Medical and Dental University, Tokyo 1138519, Japan
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32
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Hermansyah D, Firsty NN. The Role of Breast Imaging in Pre- and Post-Definitive Treatment of Breast Cancer. Breast Cancer 2022. [DOI: 10.36255/exon-publications-breast-cancer-breast-imaging] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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33
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Preoperative prediction of the pathological stage of advanced gastric cancer by 18F-fluoro-2-deoxyglucose positron emission tomography. Sci Rep 2022; 12:11370. [PMID: 35790785 PMCID: PMC9256684 DOI: 10.1038/s41598-022-14965-6] [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: 02/21/2022] [Accepted: 06/15/2022] [Indexed: 12/24/2022] Open
Abstract
In recent years, the usefulness of neoadjuvant chemotherapy for resectable advanced gastric cancer, particularly stage III, has been reported. Preoperative staging is mainly determined by computed tomography (CT), and the usefulness of 18F-fluoro-2-deoxyglucose positron emission tomography/CT (FDG-PET/CT) for gastric cancer has been limited in usefulness. The study aimed to evaluate the usefulness of FDG-PET/CT in preoperative diagnosis of advanced gastric cancer. We retrospectively enrolled 113 patients with gastric cancer who underwent preoperative FDG-PET/CT. All patients underwent gastrectomy with lymph-node dissection. The maximum standardized uptake value (SUVmax) of the primary tumor (T-SUVmax) and lymph nodes (N-SUVmax) were measured for all patients. The cutoff values of T-SUVmax for pathological T3/4 from receiver operating characteristic analysis were 8.28 for differentiated and 4.32 for undifferentiated types. The T-SUVmax and N-SUVmax cutoff values for pathological lymph-node metastasis were 4.32 and 1.82, respectively. Multivariate analysis showed that T-SUVmax for differentiated types was a significant predictor of pathological T3/4, and N-SUVmax was a significant predictor of lymph-node metastasis. In conclusion, the SUVmax of FDG-PET/CT was a useful predictor of pathological T3/4 and lymph-node metastasis in gastric cancer. The diagnosis by preoperative FDG-PET/CT is promising to contribute a more accurate staging of gastric cancer than by CT scan alone.
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34
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Yadav D, Kumar R, Phulia A, Basu S, Alavi A. Molecular Imaging Assessment of Hormonally Sensitive Breast Cancer: An Appraisal of 2-[18F]-Fluoro-2-Deoxy-Glucose and Newer Non-2-[18F]-Fluoro-2-Deoxy-Glucose PET Tracers. PET Clin 2022; 17:399-413. [PMID: 35717099 DOI: 10.1016/j.cpet.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Hormone-sensitive breast cancer, which demonstrates hormone receptor positivity, accounts for approximately 75% of newly diagnosed breast cancer. 2-[18F]-Fluoro-2-deoxy-glucose is the nonspecific radiotracer of glucose metabolism as opposed to specific receptor based tracers like 16α-[18F]-fluoro-17β-estradiol and [18F]-fluoro-furanyl-norprogesterone, which provide essential information about receptor status in the management of hormonally active malignancies. The complementary information provided by (a) 2-[18F]-fluoro-2-deoxy-glucose imaging for staging and prognostication along with (b) analyzing the hormonal receptor status with receptor-based PET imaging in breast cancer can optimize tumor characterization and influence patient management.
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Affiliation(s)
- Divya Yadav
- MD Anderson Cancer Center, University of Texas, Houston, TX, USA
| | - Rakesh Kumar
- Division of Diagnostic Nuclear Medicine, Department of Nuclear Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
| | - Ankita Phulia
- Maulana Azad Medical College, New Delhi, 110002, India
| | - Sandip Basu
- Radiation Medicine Centre (B.A.R.C), Tata Memorial Centre Annexe, Parel, Mumbai; Homi Bhabha National Institute, Mumbai, India
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
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35
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Iacob R, Manolescu DL, Stoicescu ER, Fabian A, Malita D, Oancea C. Breast Cancer—How Can Imaging Help? Healthcare (Basel) 2022; 10:healthcare10071159. [PMID: 35885686 PMCID: PMC9323053 DOI: 10.3390/healthcare10071159] [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: 05/25/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 11/16/2022] Open
Abstract
Breast cancer is the most common malignant disease among women, causing death and suffering worldwide. It is known that, for the improvement of the survival rate and the psychological impact it has on patients, early detection is crucial. For this to happen, the imaging techniques should be used at their full potential. We selected and examined 44 articles that had as subject the use of a specific imaging method in breast cancer management (mammography, ultrasound, MRI, ultrasound-guided biopsy, PET-CT). After analyzing their data, we summarized and concluded which are the best ways to use each one of the mentioned techniques for a good outcome. We created a simplified algorithm with easy steps that can be followed by radiologists when facing this type of neoplasia.
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Affiliation(s)
- Roxana Iacob
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania; (R.I.); (E.R.S.); (A.F.); (D.M.)
| | - Diana Luminita Manolescu
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania; (R.I.); (E.R.S.); (A.F.); (D.M.)
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases (CRIPMRD), ‘Victor Babeș’ University of Medicine and Pharmacy, 300041 Timișoara, Romania;
- Correspondence:
| | - Emil Robert Stoicescu
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania; (R.I.); (E.R.S.); (A.F.); (D.M.)
- Research Center for Pharmaco-Toxicological Evaluations, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania
| | - Antonio Fabian
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania; (R.I.); (E.R.S.); (A.F.); (D.M.)
| | - Daniel Malita
- Department of Radiology and Medical Imaging, ‘Victor Babes’ University of Medicine and Pharmacy Timisoara, 300041 Timișoara, Romania; (R.I.); (E.R.S.); (A.F.); (D.M.)
| | - Cristian Oancea
- Center for Research and Innovation in Precision Medicine of Respiratory Diseases (CRIPMRD), ‘Victor Babeș’ University of Medicine and Pharmacy, 300041 Timișoara, Romania;
- Department of Pulmonology, ‘Victor Babes’ University of Medicine and Pharmacy, 300041 Timișoara, Romania
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36
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Edmonds CE, O'Brien SR, Mankoff DA, Pantel AR. Novel applications of molecular imaging to guide breast cancer therapy. Cancer Imaging 2022; 22:31. [PMID: 35729608 PMCID: PMC9210593 DOI: 10.1186/s40644-022-00468-0] [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: 04/03/2022] [Accepted: 05/30/2022] [Indexed: 11/10/2022] Open
Abstract
The goals of precision oncology are to provide targeted drug therapy based on each individual’s specific tumor biology, and to enable the prediction and early assessment of treatment response to allow treatment modification when necessary. Thus, precision oncology aims to maximize treatment success while minimizing the side effects of inadequate or suboptimal therapies. Molecular imaging, through noninvasive assessment of clinically relevant tumor biomarkers across the entire disease burden, has the potential to revolutionize clinical oncology, including breast oncology. In this article, we review breast cancer positron emission tomography (PET) imaging biomarkers for providing early response assessment and predicting treatment outcomes. For 2-18fluoro-2-deoxy-D-glucose (FDG), a marker of cellular glucose metabolism that is well established for staging multiple types of malignancies including breast cancer, we highlight novel applications for early response assessment. We then review current and future applications of novel PET biomarkers for imaging the steroid receptors, including the estrogen and progesterone receptors, the HER2 receptor, cellular proliferation, and amino acid metabolism.
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Affiliation(s)
- Christine E Edmonds
- Department of Radiology, Hospital of the University if Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
| | - Sophia R O'Brien
- Department of Radiology, Hospital of the University if Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - David A Mankoff
- Department of Radiology, Hospital of the University if Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
| | - Austin R Pantel
- Department of Radiology, Hospital of the University if Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA
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Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [ 18F]F-FDG PET/CT Radiomic Features for Metabolic Response Prediction of Metastatic Breast Cancer Lesions. Cancers (Basel) 2022; 14:cancers14122922. [PMID: 35740588 PMCID: PMC9221062 DOI: 10.3390/cancers14122922] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/07/2022] [Accepted: 06/09/2022] [Indexed: 11/20/2022] Open
Abstract
Simple Summary Breast cancer is a leading cause of morbidity and mortality worldwide. The metastatic disease is largely responsible for cancer patient deaths, and its treatment implies usually different therapies. In this context, the prediction of response to treatment or depiction of treatment-resistant phenotypes is essential in clinical practice, especially in the new era of precision medicine. In this study, we used several combinations of feature selection methods and machine-learning classifiers to construct predictive models of the metabolic response to the treatment of metastatic breast cancer lesions. These models were based on clinical variables and radiomic features extracted from 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography ([18F]F-FDG PET/CT) images, obtained prior to the treatment. Our main goal was to know if this prediction was feasible and to identify those combinations with better predictive performance. We found that several combinations were successful to predict the metabolic response to treatment, of which the least absolute shrinkage and selection operator (Lasso) + support vector machines (SVM) had the best mean performance in terms of area under the curve, in both training and validation cohorts. Model performances depended largely on the selected combinations. Abstract Background: This study aimed to identify optimal combinations between feature selection methods and machine-learning classifiers for predicting the metabolic response of individual metastatic breast cancer lesions, based on clinical variables and radiomic features extracted from pretreatment [18F]F-FDG PET/CT images. Methods: A total of 48 patients with confirmed metastatic breast cancer, who received different treatments, were included. All patients had an [18F]F-FDG PET/CT scan before and after the treatment. From 228 metastatic lesions identified, 127 were categorized as responders (complete or partial metabolic response) and 101 as non-responders (stable or progressive metabolic response), by using the percentage changes in SULpeak (peak standardized uptake values normalized for body lean body mass). The lesion pool was divided into training (n = 182) and testing cohorts (n = 46); for each lesion, 101 image features from both PET and CT were extracted (202 features per lesion). These features, along with clinical and pathological information, allowed the prediction model’s construction by using seven popular feature selection methods in cross-combination with another seven machine-learning (ML) classifiers. The performance of the different models was investigated with the receiver-operating characteristic curve (ROC) analysis, using the area under the curve (AUC) and accuracy (ACC) metrics. Results: The combinations, least absolute shrinkage and selection operator (Lasso) + support vector machines (SVM), or random forest (RF) had the highest AUC in the cross-validation, with 0.93 ± 0.06 and 0.92 ± 0.03, respectively, whereas Lasso + neural network (NN) or SVM, and mutual information (MI) + RF, had the higher AUC and ACC in the validation cohort, with 0.90/0.72, 0.86/0.76, and 87/85, respectively. On average, the models with Lasso and models with SVM had the best mean performance for both AUC and ACC in both training and validation cohorts. Conclusions: Image features obtained from a pretreatment [18F]F-FDG PET/CT along with clinical vaiables could predict the metabolic response of metastatic breast cancer lesions, by their incorporation into predictive models, whose performance depends on the selected combination between feature selection and ML classifier methods.
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38
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Edizsoy A, Dağ A, Özcan PP, Koç ZP. The Relationship between Pathological Features and 18F-FDG PET/CT that Changed the Surgeon's Decision as Neoadjuvant Therapy in Breast Cancer. World J Nucl Med 2022; 21:137-141. [PMID: 35865151 PMCID: PMC9296238 DOI: 10.1055/s-0042-1750335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Objective
Patients diagnosed with breast cancer and decided to undergo surgical treatment can undergo neoadjuvant therapy following their 2-deoxy-2-[fluorine-18]fluoro-D-glucose positron emission tomography/computed tomography (
18
F-FDG PET/CT) findings. The present study aims to determine the statistical significance of these patients whose treatment plan was changed and the reasons for the change in the plan.
Materials and Methods
The demographic features and treatment plans of 151 cases who were diagnosed with any stage of breast cancer were evaluated. These patients consist of those who admitted to Mersin University Hospital Breast Outpatient Clinic between January 2016 and December 2019. All of these patients aged between 41 and 85 years were examined with
18
F-FDG PET/CT after the decision for surgical treatment is made. The analysis included tumor pathology, side, type, subtype, size, and centricity in this study.
Results
About 18.5% (
n
= 28) of patients' treatment plan was changed after
18
F-FDG PET/CT. They received neoadjuvant therapy. About 81.5% (
n
= 123) of patients did not receive neoadjuvant therapy. Significant differences were observed between patients changed treatment plan and not changed concerning age, lymph node involvement, tumor size, centricity, and subtypes parameters.
Conclusion
Conventional imaging examinations are used in patients with breast cancer. These examinations may not be sufficient to determine advanced disease requiring neoadjuvant treatment. With
18
F-FDG PET/CT examination, these advanced stage patients are not overlooked. In our study, approximately one in five patients, treatment plan changed after
18
F-FDG PET/CT examination.
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Affiliation(s)
- Akay Edizsoy
- Clinic of Surgical Oncology, Isparta City Hospital, Isparta, Turkey
| | - Ahmet Dağ
- Clinic of General Surgery, Mersin University, Faculty of Medicine, Mersin, Turkey
| | - Pınar Pelin Özcan
- Clinic of Nuclear Medicine, Mersin University, Faculty of Medicine, Mersin, Turkey
| | - Zehra Pınar Koç
- Clinic of Nuclear Medicine, Mersin University, Faculty of Medicine, Mersin, Turkey
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Kim C, Chun SY, Kim SJ, Yang KH, Baek JH, Shin JH, Yoo JW, Chang YW, Kang KW, Hwang J. The Impact of the Amendment of the Health Insurance Coverage for F-18 Fluorodeoxyglucose Positron Emission Tomography on the Healthcare Behaviors for Breast Cancer: An Interrupted Time Series Analysis of the Korean National Data From 2013 to 2018. J Korean Med Sci 2022; 37:e153. [PMID: 35578585 PMCID: PMC9110263 DOI: 10.3346/jkms.2022.37.e153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 04/19/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND F-18 Fluorodeoxyglucose positron emission tomography (F-18 FDG PET), which can cover the body from the skull base to the thigh in one scan, is beneficial for evaluating distant metastasis. F-18 FDG PET has interested policymakers because of its relatively high cost. This study investigated the effect of the F-18 FDG PET reimbursement criteria amendment on healthcare behavior in breast cancer using an interrupted time series (ITS) analysis. METHODS We retrospectively analyzed the inpatient and outpatient data from Korea's Health Insurance Review and Assessment Service (HIRA) from January 1, 2013 to December 31, 2018. ITS analysis was performed for the number of each medical imaging modality and the total medical imaging cost of the breast cancer patients. RESULTS The annual number of breast cancer patients has been increasing steadily since 2013. The trend of F-18 FDG PET increased before the reimbursement criteria was amended, but intensely decreased immediately thereafter. The chest and abdomen computed tomography scans showed a statistically significant increase immediately after the amendment and kept steadily increasing. A change in the total medical imaging cost for the breast cancer patient claimed every month showed an increasing trend before the amendment (β = 5,475, standard error [SE] = 1,992, P = 0.008) and rapid change immediately after (β = -103,317, SE = 16,152, P < 0.001). However, there was no significant change in the total medical imaging cost at the long-term follow-up (β = -912, SE = 1,981, P = 0.647). CONCLUSION Restriction of health insurance coverage for cancer may affect healthcare behaviors. To compensate for it, the policymakers must consider this and anticipate the impact following implementation.
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Affiliation(s)
- Chulhan Kim
- Department of Nuclear Medicine, Chungbuk National University Hospital, Cheongju, Korea
| | - Sung-Youn Chun
- Department of Research and Analysis, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Sun Jung Kim
- Department of Health Administration and Management, College of Medical Science, Soonchunhyang University, Asan, Korea
| | - Ki Hwa Yang
- Healthcare Review and Assessment Committee, Health Insurance Review and Assessment Service, Wonju, Korea
| | - Ji Hyeon Baek
- Quality Assessment Department, Health Insurance Review and Assessment Service, Wonju, Korea
| | - Ji Hyeon Shin
- Quality Assessment Administration Department, Health Insurance Review and Assessment Service, Wonju, Korea
| | - Ji Won Yoo
- Department of Internal Medicine, University of Nevada Las Vegas School of Medicine, Las Vegas, NV, USA
| | - Young Woo Chang
- Division of Breast and Endocrine Surgery, Department of Surgery, Korea University Ansan Hospital, Ansan, Korea
| | - Keon Wook Kang
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Bio-MAX Institute, Seoul National University, Seoul, Korea
| | - Jinwook Hwang
- Department of Thoracic and Cardiovascular Surgery, Korea University Ansan Hospital, Ansan, Korea.
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Hildebrandt MG, Naghavi-Behzad M, Vogsen M. A role of FDG-PET/CT for response evaluation in metastatic breast cancer? Semin Nucl Med 2022; 52:520-530. [PMID: 35525631 DOI: 10.1053/j.semnuclmed.2022.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 03/27/2022] [Indexed: 01/19/2023]
Abstract
Breast cancer prognosis is steadily improving due to early detection of primary cancer in screening programs and revolutionizing treatment development. In the metastatic setting, therapy improvements render breast cancer a chronic disease. Although FDG-PET/CT has emerged as a highly accurate method for staging metastatic breast cancer, there has been no change in response evaluation methods for decades. FDG-PET/CT has proven high prognostic values in patients with metastatic breast cancer when using quantitative PET methods. It has also shown a higher predictive value than conventional CT when applying the respective response evaluation criteria, RECIST and PERCIST. Response categorization using FDG-PET/CT is more sensitive in detecting progressive and regressive disease, while conventional imaging such as CT and bone scintigraphy deem stable disease more often. These findings reflect the higher accuracy of FDG-PET/CT for response evaluation in this patient group. But does the higher accuracy of FDG-PET/CT translate into a patient benefit when implementing it for monitoring response to palliative treatment? We have evidence of survival benefit from a retrospective study indicating the superiority of using FDG-PET/CT compared with conventional imaging for response evaluation in metastatic breast cancer patients. The survival benefit seems to result from earlier detection of progression with FDG-PET/CT than conventional imaging, leading to an earlier change in treatment with potentially better efficacy of the subsequent treatment line. FDG-PET/CT can be used semiquantitatively as suggested in PERCIST. However, we still need to improve clinically applicable methods based on neural network modeling to better integrate the quantitative information in a smart and standardized way, enabling relevant comparability between scans, patients, and institutions. Such innovation is warranted to support imaging specialists in diagnostic response assessment. Prospective multicenter studies analyzing patients' survival, quality of life, societal and patient costs of replacing conventional imaging with FDG-PET/CT are needed before firm conclusions can be drawn on which type of scan to recommend in future clinical guidelines.
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Affiliation(s)
- Malene Grubbe Hildebrandt
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Center for Personalized Response Monitoring in Oncology, PREMIO, Odense University Hospital, Odense, Denmark; Center for Innovative Medical Technology, CIMT, Odense University Hospital, Odense, Denmark.
| | - Mohammad Naghavi-Behzad
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Center for Personalized Response Monitoring in Oncology, PREMIO, Odense University Hospital, Odense, Denmark
| | - Marianne Vogsen
- Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Center for Personalized Response Monitoring in Oncology, PREMIO, Odense University Hospital, Odense, Denmark; Department of Oncology, Odense University Hospital, Odense, Denmark
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41
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Sakellis CG, Jacene HA. Imaging for Radiation Planning in Breast Cancer. Semin Nucl Med 2022; 52:542-550. [PMID: 35523601 DOI: 10.1053/j.semnuclmed.2022.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 03/27/2022] [Indexed: 01/31/2023]
Abstract
Radiation therapy is an integral component of the treatment of breast cancer. The indications and type of radiation therapy vary depending on disease invasiveness and stage. Imaging is the cornerstone for radiation therapy planning. While conventional imaging with CT remains the primary modality for radiation treatment planning locally in the breast, molecular imaging with [18F]FDG-PET/CT identifies additional occult disease that may help alter the local radiation therapy plan or treat oligometastatic disease. The ultimate effects on long-term outcomes remain to be determined. This article reviews the role of imaging in radiation planning for breast cancer.
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Affiliation(s)
- Christopher G Sakellis
- Department of Imaging, Dana-Farber Cancer Institute, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Heather A Jacene
- Department of Imaging, Dana-Farber Cancer Institute, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
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42
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Ulaner GA. 16α-18F-fluoro-17β-Fluoroestradiol (FES): Clinical Applications for Patients With Breast Cancer. Semin Nucl Med 2022; 52:574-583. [DOI: 10.1053/j.semnuclmed.2022.03.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 02/22/2022] [Accepted: 03/01/2022] [Indexed: 12/25/2022]
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Piccardo A, Fiz F, Treglia G, Bottoni G, Trimboli P. Head-to-Head Comparison between 18F-FES PET/CT and 18F-FDG PET/CT in Oestrogen Receptor-Positive Breast Cancer: A Systematic Review and Meta-Analysis. J Clin Med 2022; 11:jcm11071919. [PMID: 35407526 PMCID: PMC8999922 DOI: 10.3390/jcm11071919] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/18/2022] [Accepted: 03/28/2022] [Indexed: 12/26/2022] Open
Abstract
18F-FDG PET/CT is a powerful diagnostic tool in breast cancer (BC). However, it might have a reduced sensitivity in differentiated, oestrogen receptor-positive (ER+) BC. In this setting, specific molecular imaging with fluorine-oestradiol (18F-FES) PET/CT could help in overcoming these limitations; however, the literature on the diagnostic accuracy of this method is limited. We therefore planned this systematic review and meta-analysis to compare 18F-FDG and 18F-FES PET/CT in ER+ BC patients. We performed a literature search to identify all studies performing a head-to-head comparison between the two methods; we excluded review articles, preclinical studies, case reports and small case series. Finally, seven studies were identified (overall: 171 patients; range: 7–49 patients). A patients-based analysis (PBA) showed that 18F-FDG and 18F-FES PET/CT had a similar high pooled sensitivity (97% and 94%, respectively) at the lesion-based analysis (LBA), 18F-FES performed slightly better than 18F-FDG (pooled sensitivity: 95% vs. 85%, respectively). Moreover, when we considered only the studies dealing with the restaging setting (n = 3), this difference in sensitivity was even more marked (98% vs. 81%, respectively). In conclusion, both tracers feature an excellent sensitivity in ER+ BC; however, 18F-FES PET/CT could be preferred in the restaging setting.
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Affiliation(s)
- Arnoldo Piccardo
- Nuclear Medicine Department, Ente Ospedaliero “Ospedali Galliera”, 16128 Genoa, Italy; (F.F.); (G.B.)
- Correspondence: ; Tel.: +39-(0)10-5634541
| | - Francesco Fiz
- Nuclear Medicine Department, Ente Ospedaliero “Ospedali Galliera”, 16128 Genoa, Italy; (F.F.); (G.B.)
| | - Giorgio Treglia
- Faculty of Biomedical Sciences, University della Svizzera Italiana (USI), 6900 Lugano, Switzerland; (G.T.); (P.T.)
- Faculty of Biology and Medicine, University of Lausanne, 1015 Lausanne, Switzerland
- Academic Education, Research and Innovation Area, General Directorate, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
| | - Gianluca Bottoni
- Nuclear Medicine Department, Ente Ospedaliero “Ospedali Galliera”, 16128 Genoa, Italy; (F.F.); (G.B.)
| | - Pierpaolo Trimboli
- Faculty of Biomedical Sciences, University della Svizzera Italiana (USI), 6900 Lugano, Switzerland; (G.T.); (P.T.)
- Clinic of Endocrinology and Diabetology, Lugano and Mendrisio Regional Hospital, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland
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Yang S, Leng Y, Chau CM, Ma KFJ, Fung WY, Chan RLS, Yung WTA, Leong PW, Li OCA, Wong T. The ins and outs of male breast and anterior chest wall lesions from childhood to adulthood. Clin Radiol 2022; 77:503-513. [PMID: 35365295 DOI: 10.1016/j.crad.2022.02.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/24/2022] [Indexed: 12/16/2022]
Abstract
Physiological and pathological processes arising from the breast and anterior chest wall may share similar clinical presentations because of the small volume of male breasts. Therefore, imaging is frequently required to localise and characterise the lesion and guide biopsy when radiological findings are equivocal or suspicious. Mammography or digital breast tomosynthesis (DBT) and ultrasound are the mainstays of breast imaging work-up. Other imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and positron-emission tomography (PET) can sometimes augment the investigation and aid treatment planning. This article reviews the key imaging features of a wide spectrum of benign and malignant conditions that involve the male breast and anterior chest wall across various age groups. Familiarisation with the salient radiological findings is essential for reaching an accurate diagnosis and optimising management.
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Affiliation(s)
- S Yang
- Department of Radiology, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, N.T, Hong Kong; Department of Radiology, Pok Oi Hospital, Au Tau, Yuen Long, N.T, Hong Kong.
| | - Y Leng
- Department of Radiology, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, N.T, Hong Kong; Department of Radiology, Pok Oi Hospital, Au Tau, Yuen Long, N.T, Hong Kong
| | - C M Chau
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
| | - K F J Ma
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
| | - W Y Fung
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
| | - R L S Chan
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
| | - W T A Yung
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
| | - P W Leong
- Department of Radiology, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, N.T, Hong Kong; Department of Radiology, Pok Oi Hospital, Au Tau, Yuen Long, N.T, Hong Kong
| | - O C A Li
- Department of Radiology, Tuen Mun Hospital, 23 Tsing Chung Koon Road, Tuen Mun, N.T, Hong Kong; Department of Radiology, Pok Oi Hospital, Au Tau, Yuen Long, N.T, Hong Kong
| | - T Wong
- Department of Radiology, Princess Margaret Hospital, 2-10 Princess Margaret Hospital Road, Lai Chi Kok, Kowloon, Hong Kong
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FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma. Diagnostics (Basel) 2022; 12:diagnostics12030694. [PMID: 35328247 PMCID: PMC8947709 DOI: 10.3390/diagnostics12030694] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/03/2022] [Accepted: 03/09/2022] [Indexed: 02/01/2023] Open
Abstract
This study investigated the prognostic value of FDG PET/CT radiomic features for predicting recurrence in patients with early breast invasive ductal carcinoma (IDC). The medical records of consecutive patients who were newly diagnosed with primary breast IDC after curative surgery were reviewed. Patients who received any neoadjuvant treatment before surgery were not included. FDG PET/CT radiomic features, such as a maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), skewness, kurtosis, entropy, and uniformity, were measured for the primary breast tumor using LIFEx software to evaluate recurrence-free survival (RFS). A total of 124 patients with early breast IDC were evaluated. Eleven patients had a recurrence (8.9%). Univariate survival analysis identified large tumor size (>2 cm, p = 0.045), high Ki-67 expression (≥30%, p = 0.017), high AJCC prognostic stage (≥II, p = 0.044), high SUVmax (≥5.0, p = 0.002), high MTV (≥3.25 mL, p = 0.044), high TLG (≥10.5, p = 0.004), and high entropy (≥3.15, p = 0.003) as significant predictors of poor RFS. After multivariate survival analysis, only high MTV (p = 0.045) was an independent prognostic predictor. Evaluation of the MTV of the primary tumor by FDG PET/CT in patients with early breast IDC provides useful prognostic information regarding recurrence.
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Cheng J, Li J, Liu G, Shui R, Chen S, Yang B, Shao Z. Diagnostic performance of a novel high-resolution dedicated axillary PET system in the assessment of regional nodal spread of disease in early breast cancer. Quant Imaging Med Surg 2022; 12:1109-1120. [PMID: 35111608 DOI: 10.21037/qims-21-388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 09/08/2021] [Indexed: 12/16/2022]
Abstract
Background In early breast cancer, a non-invasive method with higher sensitivity and negative predictive value (NPV) is needed to identify and recognize more indolent axillary lymph nodes (ALNs). This study aimed to assess whether a novel high-resolution dedicated ALN positron emission tomography (LymphPET) system could improve sensitivity in detecting early breast cancer (clinical N0-N1 stage). Methods A total of 103 patients with clinical stage T1-2N0-1M0 breast cancer were evaluated by 18F-fluorodeoxyglucose (18F-FDG) LymphPET. The maximum single-voxel PET uptake value of ALNs (maxLUV) and the tumor-to-background ratio (TBR) for fat (TBR1) and muscle (TBR2) tissue were calculated. Then, 78 patients with cN0 stage breast cancer received sentinel lymph node biopsy alone or combined with axillary lymph node dissection (ALND), and 25 patients with cN1 stage breast cancer underwent fine-needle aspiration. Results A total of 99 invasive breast carcinoma cases were included in this study. The diagnostic sensitivity of LymphPET was 88%, specificity was 79%, false-negative rate was 12%, the false-positive rate was 21%, positive predictive value was 75%, NPV was 90%, and accuracy was 83%. The maxLUV was superior to TBR1 and TBR2 in detecting ALNs, with 0.27 being the most optimal cutoff value. Conclusions The 18F-FDG LymphPET system can be used to identify and recognize more indolent ALNs of breast cancer due to greater sensitivity and a much higher NPV.
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Affiliation(s)
- Jingyi Cheng
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Nuclear Medicine, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China
| | - Junjie Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Breast Surgery, Fudan University Shanghai Cancer Center.,Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Guangyu Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Breast Surgery, Fudan University Shanghai Cancer Center.,Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Ruohong Shui
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Sheng Chen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Breast Surgery, Fudan University Shanghai Cancer Center.,Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Benlong Yang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Breast Surgery, Fudan University Shanghai Cancer Center.,Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zhimin Shao
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Breast Surgery, Fudan University Shanghai Cancer Center.,Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
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Jiang M, Lei S, Zhang J, Hou L, Zhang M, Luo Y. Multimodal Imaging of Target Detection Algorithm under Artificial Intelligence in the Diagnosis of Early Breast Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:9322937. [PMID: 35047160 PMCID: PMC8763565 DOI: 10.1155/2022/9322937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/27/2021] [Accepted: 11/29/2021] [Indexed: 01/31/2023]
Abstract
This study aimed to analyze the diagnostic value of multimodal images based on artificial intelligence target detection algorithms for early breast cancer, so as to provide help for clinical imaging examinations of breast cancer. This article combined residual block with inception block, constructed a new target detection algorithm to detect breast lumps, used deep convolutional neural network and ultrasound imaging in diagnosing benign and malignant breast lumps, took breast density grading with mammography, compared the convolutional neural network (CNN) algorithm with the proposed algorithm, and then applied the proposed algorithm to the diagnosis of 120 female patients with breast lumps. According to the results, accuracy rates of breast lump detection (94.76%), benign and malignant breast lumps diagnosis (98.22%), and breast grading (93.65%) with the algorithm applied in this study were significantly higher than those (75.67%, 87.23%, and 79.54%) with CNN algorithm, and the difference was statistically significant (P < 0.05); among 62 patients with malignant breast lumps of the 120 patients with breast lumps, 37 were patients with invasive ductal carcinoma, 8 with lobular carcinoma in situ, 16 with intraductal carcinoma, and 4 with mucinous carcinoma; among the remaining 58 patients with benign breast lumps, 28 were patients with fibrocystic breast disease, 17 with intraductal papilloma, 4 with breast hyperplasia, and 9 with adenopathy; the differences in shape, growth direction, edge, and internal echo of multimodal ultrasound imaging of patients with benign and malignant breast lumps had statistical significance (P < 0.05); the malignant constituent ratios of patients with breast density grades I to IV were 0%, 7.10%, 80.40%, and 100%, respectively. In short, the multimodal imaging diagnosis under the algorithm in this article was superior to CNN algorithm in all aspects; according to the judgment on benign and malignant breast lumps and breast density with multimodal imaging features, the higher the breast density, the higher the probability of breast cancer.
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Affiliation(s)
- Meiping Jiang
- Department of Ultrasonography, Hunan Province Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Sanlin Lei
- Department of Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Junhui Zhang
- Department of Ultrasonography, Hunan Province Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Liqiong Hou
- Department of Ultrasonography, Hunan Province Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Meixiang Zhang
- Department of Ultrasonography, Hunan Province Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Yingchun Luo
- Department of Ultrasonography, Hunan Province Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
- NHC Key Laboratory of Birth Defect for Research and Prevention (Hunan Provincial Maternal and Child Health Care Hospital), Changsha 410100, Hunan, China
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Bae SH, Kim JY, Jung EJ, Lee HS, Choi BH, Kwag SJ, Park JH, Cho JK, Kim HG, Ju YT, Jeong CY, Lee YJ, Hong SC, Kim JM. The role of fluorodeoxyglucose-PET/computed tomography as a predictor of breast cancer characteristics and prognosis. Nucl Med Commun 2022; 43:108-113. [PMID: 34419988 DOI: 10.1097/mnm.0000000000001476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Fluorodeoxyglucose-PET/computed tomography (FDG-PET/CT) affects the management of patients with breast cancer. Our study aimed to determine the predictive ability of characteristics such as lymph node involvement or subtype and the prognostic value of pretreatment FDG-PET/CT in breast cancer. METHOD A total of 270 patients who were confirmed with breast cancer histopathologically and underwent pretreatment FDG-PET/CT were enrolled in the study. Nuclear medicine specialists obtained the readings and measured the maximum standardized uptake value (SUVmax) of the images. Tumor and lymph node SUVmax were evaluated according to lymph node metastasis and subtype status. Survival outcomes were analyzed by the Kaplan-Meier method. RESULTS The lymph node SUVmax and the lymph node/tumor SUVmax ratio were significantly higher in the subgroup of patients with lymph node metastasis than in those without lymph node metastasis. High cutoff lymph node SUVmax value and lymph node/tumor SUVmax ratio were confirmed as significant predictive factors in multivariate analysis. In a comparison of the tumor SUVmax values, the more biological aggressive subtype showed higher tumor SUVmax values. In survival analysis, tumor SUVmax and lymph node SUVmax were significant predisposing factors for disease-free survival in breast cancer. In subgroup analysis, tumor SUVmax was a more significant prognostic factor in patients who had breast cancer with tumor sizes of ≤2 cm. The lymph node SUVmax was more a significant prognostic factor in patients who had breast cancer with lymph node metastasis. CONCLUSION In this study, we showed that the SUVmax of FDG-PET/CT was a useful predictor of lymph node metastasis and breast cancer prognosis.
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Affiliation(s)
- Sung Hun Bae
- Surgery, Gyeongsang National University Hospital, Jinju
| | - Ju-Yeon Kim
- Surgery, Gyeongsang National University Hospital, Jinju
| | - Eun Jung Jung
- Surgery, Changwon Gyeongsang National University Hospital, Changwon
| | - Han Shin Lee
- Surgery, Changwon Gyeongsang National University Hospital, Changwon
| | - Bong-Hoi Choi
- Neuclear Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | | | - Ji-Ho Park
- Surgery, Gyeongsang National University Hospital, Jinju
| | - Jin-Kyu Cho
- Surgery, Gyeongsang National University Hospital, Jinju
| | - Han-Gil Kim
- Surgery, Gyeongsang National University Hospital, Jinju
| | - Young-Tae Ju
- Surgery, Gyeongsang National University Hospital, Jinju
| | | | - Young-Joon Lee
- Surgery, Changwon Gyeongsang National University Hospital, Changwon
| | | | - Jae-Myung Kim
- Surgery, Gyeongsang National University Hospital, Jinju
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Balma M, Liberini V, Racca M, Laudicella R, Bauckneht M, Buschiazzo A, Nicolotti DG, Peano S, Bianchi A, Albano G, Quartuccio N, Abgral R, Morbelli SD, D'Alessandria C, Terreno E, Huellner MW, Papaleo A, Deandreis D. Non-conventional and Investigational PET Radiotracers for Breast Cancer: A Systematic Review. Front Med (Lausanne) 2022; 9:881551. [PMID: 35492341 PMCID: PMC9039137 DOI: 10.3389/fmed.2022.881551] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 03/22/2022] [Indexed: 02/05/2023] Open
Abstract
Breast cancer is one of the most common malignancies in women, with high morbidity and mortality rates. In breast cancer, the use of novel radiopharmaceuticals in nuclear medicine can improve the accuracy of diagnosis and staging, refine surveillance strategies and accuracy in choosing personalized treatment approaches, including radioligand therapy. Nuclear medicine thus shows great promise for improving the quality of life of breast cancer patients by allowing non-invasive assessment of the diverse and complex biological processes underlying the development of breast cancer and its evolution under therapy. This review aims to describe molecular probes currently in clinical use as well as those under investigation holding great promise for personalized medicine and precision oncology in breast cancer.
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Affiliation(s)
- Michele Balma
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
- *Correspondence: Michele Balma
| | - Virginia Liberini
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
- Division of Nuclear Medicine, Department of Medical Science, University of Turin, Turin, Italy
| | - Manuela Racca
- Nuclear Medicine Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, Messina, Italy
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Nuclear Medicine Unit, Fondazione Istituto G. Giglio, Cefalù, Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Ambra Buschiazzo
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
| | | | - Simona Peano
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
| | - Andrea Bianchi
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
| | - Giovanni Albano
- Nuclear Medicine Unit, Fondazione Istituto G. Giglio, Cefalù, Italy
| | - Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Civico di Cristina and Benfratelli Hospitals, Palermo, Italy
| | - Ronan Abgral
- Department of Nuclear Medicine, University Hospital of Brest, Brest, France
| | - Silvia Daniela Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | | | - Enzo Terreno
- Department of Molecular Biotechnology and Health Sciences, Molecular & Preclinical Imaging Centers, University of Turin, Turin, Italy
| | - Martin William Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alberto Papaleo
- Nuclear Medicine Department, S. Croce e Carle Hospital, Cuneo, Italy
| | - Désirée Deandreis
- Division of Nuclear Medicine, Department of Medical Science, University of Turin, Turin, Italy
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Fowler AM, Strigel RM. Clinical advances in PET-MRI for breast cancer. Lancet Oncol 2022; 23:e32-e43. [PMID: 34973230 PMCID: PMC9673821 DOI: 10.1016/s1470-2045(21)00577-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/20/2021] [Accepted: 10/01/2021] [Indexed: 01/03/2023]
Abstract
Imaging is paramount for the early detection and clinical staging of breast cancer, as well as to inform management decisions and direct therapy. PET-MRI is a quantitative hybrid imaging technology that combines metabolic and functional PET data with anatomical detail and functional perfusion information from MRI. The clinical applicability of PET-MRI for breast cancer is an active area of research. In this Review, we discuss the rationale and summarise the clinical evidence for the use of PET-MRI in the diagnosis, staging, prognosis, tumour phenotyping, and assessment of treatment response in breast cancer. The continued development and approval of targeted radiopharmaceuticals, together with radiomics and automated analysis tools, will further expand the opportunity for PET-MRI to provide added value for breast cancer imaging and patient care.
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Affiliation(s)
- Amy M Fowler
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
| | - Roberta M Strigel
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; University of Wisconsin Carbone Cancer Center, Madison, WI, USA
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