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Gule-Monroe MK, Calle S, Policeni B, Juliano AF, Agarwal M, Chow LQM, Dubey P, Friedman ER, Hagiwara M, Hanrahan KD, Jain V, Rath TJ, Smith RB, Subramaniam RM, Taheri MR, Yom SS, Zander D, Burns J. ACR Appropriateness Criteria® Staging and Post-Therapy Assessment of Head and Neck Cancer. J Am Coll Radiol 2023; 20:S521-S564. [PMID: 38040469 DOI: 10.1016/j.jacr.2023.08.008] [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: 08/15/2023] [Accepted: 08/22/2023] [Indexed: 12/03/2023]
Abstract
Imaging of head and neck cancer at initial staging and as part of post-treatment surveillance is a key component of patient care as it guides treatment strategy and aids determination of prognosis. Head and neck cancer includes a heterogenous group of malignancies encompassing several anatomic sites and histologies, with squamous cell carcinoma the most common. Together this comprises the seventh most common cancer worldwide. At initial staging comprehensive imaging delineating the anatomic extent of the primary site, while also assessing the nodal involvement of the neck is necessary. The treatment of head and neck cancer often includes a combination of surgery, radiation, and chemotherapy. Post-treatment imaging is tailored for the evaluation of treatment response and early detection of local, locoregional, and distant recurrent tumor. Cross-sectional imaging with CT or MRI is recommended for the detailed anatomic delineation of the primary site. PET/CT provides complementary metabolic information and can map systemic involvement. 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 include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Susana Calle
- Research Author, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bruno Policeni
- Panel Chair, University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - Amy F Juliano
- Panel Vice-Chair, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Mohit Agarwal
- Froedtert Memorial Lutheran Hospital Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Laura Q M Chow
- University of Texas at Austin, Dell Medical School, Austin, Texas; American Society of Clinical Oncology
| | | | | | - Mari Hagiwara
- New York University Langone Health, New York, New York
| | | | - Vikas Jain
- MetroHealth Medical Center, Cleveland, Ohio
| | | | - Russell B Smith
- Baptist Medical Center, Jacksonville, Florida; American Academy of Otolaryngology-Head and Neck Surgery
| | - Rathan M Subramaniam
- University of Otago, Dunedin, Otepoti, New Zealand; Commission on Nuclear Medicine and Molecular Imaging
| | - M Reza Taheri
- George Washington University Hospital, Washington, District of Columbia
| | - Sue S Yom
- University of California, San Francisco, San Francisco, California
| | | | - Judah Burns
- Specialty Chair, Montefiore Medical Center, Bronx, New York
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2
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Al-Ibraheem A, Abdlkadir AS, Al-Adhami D, Hejleh TA, Mansour A, Mohamad I, Juweid ME, Al-Rasheed U, Al-Hajaj N, Laban DA, Estrada-Lobato E, Saraireh O. The Prognostic and Diagnostic Value of [ 18F]FDG PET/CT in Untreated Laryngeal Carcinoma. J Clin Med 2023; 12:jcm12103514. [PMID: 37240619 DOI: 10.3390/jcm12103514] [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: 03/09/2023] [Revised: 04/06/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
This study aims to determine the diagnostic accuracy of staging PET/CT and neck MRI in patients with laryngeal carcinoma and to assess the value of PET/CT in predicting progression-free survival (PFS) and overall survival (OS). Sixty-eight patients who had both modalities performed before treatment between 2014 and 2021 were included in this study. The sensitivity and specificity of PET/CT and MRI were evaluated. PET/CT had 93.8% sensitivity, 58.3% specificity, and 75% accuracy for nodal metastasis, whereas MRI had 68.8%, 61.1%, and 64.7% accuracy, respectively. At a median follow-up of 51 months, 23 patients had developed disease progression and 17 patients had died. Univariate-survival analysis revealed all utilized PET parameters as significant prognostic factors for OS and PFS (p-value < 0.03 each). In multivariate analysis, metabolic-tumor volume (MTV) and total lesion glycolysis (TLG) predicted better PFS (p-value < 0.05 each). In conclusion, PET/CT improves the accuracy of nodal staging in laryngeal carcinoma over neck MRI and adds to the prognostication of survival outcomes through the use of several PET metrics.
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Affiliation(s)
- Akram Al-Ibraheem
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
- Department of Radiology and Nuclear Medicine, Division of Nuclear Medicine, University of Jordan, Amman 11942, Jordan
| | - Ahmed Saad Abdlkadir
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Dhuha Al-Adhami
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Taher Abu Hejleh
- Department of Medical Oncology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Asem Mansour
- Department of Diagnostic Radiology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Issa Mohamad
- Department of Radiation Oncology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Malik E Juweid
- Department of Radiology and Nuclear Medicine, Division of Nuclear Medicine, University of Jordan, Amman 11942, Jordan
| | - Ula Al-Rasheed
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Nabeela Al-Hajaj
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Dima Abu Laban
- Department of Diagnostic Radiology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Enrique Estrada-Lobato
- Nuclear Medicine and Diagnostic Section, Division of Human Health, International Atomic Energy Agency, 1220 Vienna, Austria
| | - Omar Saraireh
- Department of Surgical Oncology, King Hussein Cancer Center, Amman 11941, Jordan
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3
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PET Imaging of Oral Cavity and Oropharyngeal Cancers. PET Clin 2022; 17:223-234. [DOI: 10.1016/j.cpet.2021.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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4
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Maajem M, Leclère JC, Bourhis D, Tissot V, Icard N, Arnaud L, Le Pennec R, Dissaux G, Gujral DM, Salaün PY, Schick U, Abgral R. Comparison of Volumetric Quantitative PET Parameters Before and After a CT-Based Elastic Deformation on Dual-Time 18FDG-PET/CT Images: A Feasibility Study in a Perspective of Radiotherapy Planning in Head and Neck Cancer. Front Med (Lausanne) 2022; 9:831457. [PMID: 35223928 PMCID: PMC8873113 DOI: 10.3389/fmed.2022.831457] [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: 12/08/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background The use of 18FDG-PET/CT for delineating a gross tumor volume (GTV, also called MTV metabolic tumor volume) in radiotherapy (RT) planning of head neck squamous cell carcinomas (HNSCC) is not included in current recommendations, although its interest for the radiotherapist is of evidence. Because pre-RT PET scans are rarely done simultaneously with dosimetry CT, the validation of a robust image registration tool and of a reproducible MTV delineation method is still required. Objective Our objective was to study a CT-based elastic registration method on dual-time pre-RT 18FDG-PET/CT images to assess the feasibility of PET-based RT planning in patients with HNSCC. Methods Dual-time 18FDG-PET/CT [whole-body examination (wbPET) + 1 dedicated step (headPET)] were selected to simulate a 2-times scenario of pre-RT PET images deformation on dosimetry CT. ER-headPET and RR-headPET images were, respectively, reconstructed after CT-to-CT rigid (RR) and elastic (ER) registrations of the headPET on the wbPET. The MTVs delineation was performed using two methods (40%SUVmax, PET-Edge). The percentage variations of several PET parameters (SUVmax, SUVmean, SUVpeak, MTV, TLG) were calculated between wbPET, ER-headPET, and RR-headPET. Correlation between MTV values was calculated (Deming linear regression). MTVs intersections were assessed by two indices (OF, DICE) and compared together (Wilcoxon test). Additional per-volume analysis was evaluated (Mann-Whitney test). Inter- and intra-observer reproducibilities were evaluated (ICC = intra-class coefficient). Results 36 patients (30M/6F; median age = 65 y) were retrospectively included. The changes in SUVmax, SUVmean and SUVpeak values between ER-headPET and RR-headPET images were <5%. The variations in MTV values between ER-headPET and wbPET images were −6 and −3% with 40%SUVmax and PET Edge, respectively. Their correlations were excellent whatever the delineation method (R2 > 0.99). The ER-headPET MTVs had significant higher mean OF and DICE with the wbPET MTVs, for both delineation methods (p ≤ 0.002); and also when lesions had a volume > 5cc (excellent OF = 0.80 with 40%SUVmax). The inter- and intra-observer reproducibilities for MTV delineation were excellent (ICC ≥ 0.8, close to 1 with PET-Edge). Conclusion Our study demonstrated no significant changes in MTV after an elastic deformation of pre-RT 18FDG-PET/CT images acquired in dual-time mode. This opens possibilities for HNSCC radiotherapy planning improvement by transferring GTV-PET on dosimetry CT.
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Affiliation(s)
- Meriem Maajem
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
| | | | - David Bourhis
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Valentin Tissot
- Department of Radiology, Brest University Hospital, Brest, France
| | - Nicolas Icard
- Department of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France
| | - Laëtitia Arnaud
- Department of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France
| | - Romain Le Pennec
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Gurvan Dissaux
- Department of Radiotherapy, Brest University Hospital, Brest, France
| | - Dorothy M Gujral
- Clinical Oncology Department, Imperial College Healthcare National Health Service (NHS) Trust, Charing Cross Hospital, London, United Kingdom
- Department of Cancer and Surgery, Imperial College London, London, United Kingdom
| | - Pierre-Yves Salaün
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
| | - Ulrike Schick
- Department of Radiotherapy, Brest University Hospital, Brest, France
| | - Ronan Abgral
- Department of Nuclear Medicine, Brest University Hospital, Brest, France
- European University of Brittany, UMR 1304 GETBO, IFR 148, Brest, France
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Marcus C, Sheikhbahaei S, Shivamurthy VKN, Avey G, Subramaniam RM. PET Imaging for Head and Neck Cancers. Radiol Clin North Am 2021; 59:773-788. [PMID: 34392918 DOI: 10.1016/j.rcl.2021.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Head and neck cancers are commonly encountered cancers in clinical practice in the United States. Fluorine-18-fluorodeoxyglucose (18F-FDG) PET/CT has been clinically applied in staging, occult primary tumor detection, treatment planning, response assessment, follow-up, recurrent disease detection, and prognosis prediction in these patients. Alternative PET tracers remain investigational and can provide additional valuable information such as radioresistant tumor hypoxia. The recent introduction of 18F-FDG PET/MR imaging has provided the advantage of combining the superior soft tissue resolution of MR imaging with the functional information provided by 18F-FDG PET. This article is a concise review of recent advances in PET imaging in head and neck cancer.
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Affiliation(s)
- Charles Marcus
- Department of Nuclear Medicine and Molecular Imaging, Emory University Hospital, Atlanta, GA, USA.
| | - Sara Sheikhbahaei
- Department of Radiology, Johns Hopkins Medical Institutions, 601 N. Caroline Street, JHOC 3235, Baltimore, MD 21287, USA
| | - Veeresh Kumar N Shivamurthy
- Epilepsy Center, St. Francis Hospital and Medical Center, Trinity Health of New England, 114 Woodland Street, Hartford, CT 06105, USA
| | - Greg Avey
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave #3284, Madison, WI 53792, USA
| | - Rathan M Subramaniam
- Dean's Office, Otago Medical School, University of Otago, 201 Great King Street, Dunedin 9016, New Zealand
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Bielak L, Wiedenmann N, Nicolay NH, Lottner T, Fischer J, Bunea H, Grosu AL, Bock M. Automatic Tumor Segmentation With a Convolutional Neural Network in Multiparametric MRI: Influence of Distortion Correction. ACTA ACUST UNITED AC 2020; 5:292-299. [PMID: 31572790 PMCID: PMC6752289 DOI: 10.18383/j.tom.2019.00010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Precise tumor segmentation is a crucial task in radiation therapy planning. Convolutional neural networks (CNNs) are among the highest scoring automatic approaches for tumor segmentation. We investigate the difference in segmentation performance of geometrically distorted and corrected diffusion-weighted data using data of patients with head and neck tumors; 18 patients with head and neck tumors underwent multiparametric magnetic resonance imaging, including T2w, T1w, T2*, perfusion (ktrans), and apparent diffusion coefficient (ADC) measurements. Owing to strong geometrical distortions in diffusion-weighted echo planar imaging in the head and neck region, ADC data were additionally distortion corrected. To investigate the influence of geometrical correction, first 14 CNNs were trained on data with geometrically corrected ADC and another 14 CNNs were trained using data without the correction on different samples of 13 patients for training and 4 patients for validation each. The different sets were each trained from scratch using randomly initialized weights, but the training data distributions were pairwise equal for corrected and uncorrected data. Segmentation performance was evaluated on the remaining 1 test-patient for each of the 14 sets. The CNN segmentation performance scored an average Dice coefficient of 0.40 ± 0.18 for data including distortion-corrected ADC and 0.37 ± 0.21 for uncorrected data. Paired t test revealed that the performance was not significantly different (P = .313). Thus, geometrical distortion on diffusion-weighted imaging data in patients with head and neck tumor does not significantly impair CNN segmentation performance in use.
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Affiliation(s)
- Lars Bielak
- Radiology, Medical Physics.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Nicole Wiedenmann
- Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; and.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Nils Henrik Nicolay
- Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; and.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | | | | | - Hatice Bunea
- Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; and.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Anca-Ligia Grosu
- Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; and.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Michael Bock
- Radiology, Medical Physics.,German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
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7
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Ruhlmann M, Ruhlmann V. PET in Head and Neck Cancer. Clin Nucl Med 2020. [DOI: 10.1007/978-3-030-39457-8_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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8
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Hohenstein NA, Chan JW, Wu SY, Tahir P, Yom SS. Diagnosis, Staging, Radiation Treatment Response Assessment, and Outcome Prognostication of Head and Neck Cancers Using PET Imaging. PET Clin 2020; 15:65-75. [DOI: 10.1016/j.cpet.2019.08.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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9
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Ryan JL, Aaron VD, Sims JB. PET/MRI vs PET/CT in Head and Neck Imaging: When, Why, and How? Semin Ultrasound CT MR 2019; 40:376-390. [PMID: 31635765 DOI: 10.1053/j.sult.2019.07.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The increasing availability of hybrid PET/MRI systems has led to a breadth of new publications and opportunities for use of PET/MRI. While PET/CT has been a valuable tool for oncologic staging, including head and neck malignancy, there are several theoretical and practical advantages a PET/MRI system would have over PET/CT in head and neck imaging. This review article discusses the established role of PET/CT, early evidence for the role of PET/MRI, and protocol considerations for both PET/CT and PET/MRI as they apply to head and neck imaging.
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Affiliation(s)
- Joshua L Ryan
- Indiana University School of Medicine, Indianapolis, IN.
| | | | - Justin B Sims
- Indiana University School of Medicine, Indianapolis, IN
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