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Yohanathan L, Chopra A, Simo K, Clancy TE, Khithani A, Anaya DA, Maegawa FA, Sheikh M, Raoof M, Jacobs M, Aleassa E, Boff M, Ferguson B, Tan-Tam C, Winslow E, Qadan M, D’Angelica MI. Assessment and treatment considerations for patients with colorectal liver metastases: AHPBA consensus guideline and update for surgeons. HPB (Oxford) 2025; 27:263-278. [PMID: 39828468 DOI: 10.1016/j.hpb.2024.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 11/20/2024] [Accepted: 12/09/2024] [Indexed: 01/22/2025]
Abstract
BACKGROUND Colorectal cancer most commonly metastasizes to the liver. While various treatment strategies have been developed, surgical management of these patients has vital implications on the prognosis and survival of this group of patients. There remains a need for a consensus guideline regarding the surgical evaluation and management of patients with colorectal liver metastases (CRLM). METHODS This review article is a consensus guideline established by the members of the AHPBA Professional Standards Committee, as an amalgamation of existent literature and a guide to surgeons managing this complex disease. RESULTS These guidelines reports the benefits and shortcomings of various diagnostic modalities including imaging and next-generation sequencing in the management of patients with CRLM. While surgery has established survival benefits in patients with resectable disease, this report notes the importance of treatment sequencing with non-surgical modalities as well as between colon and liver resection. Finally, the guidelines address the various treatment modalities for patients with unresectable disease, that may have significant impact on survival. CONCLUSION CRLM is a complex diagnosis which warrants multidisciplinary approach with early surgical involvement in both assessment and management of the disease, to optimize patient outcomes and survival.
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Ryu HS, Kim HJ, Ji WB, Kim BC, Kim JH, Moon SK, Kang SI, Kwak HD, Kim ES, Kim CH, Kim TH, Noh GT, Park BS, Park HM, Bae JM, Bae JH, Seo NE, Song CH, Ahn MS, Eo JS, Yoon YC, Yoon JK, Lee KH, Lee KH, Lee KY, Lee MS, Lee SH, Lee JM, Lee JE, Lee HH, Ihn MH, Jang JH, Jeon SK, Chae KJ, Choi JH, Pyo DH, Ha GW, Han KS, Hong YK, Hong CW, Kwak JM. Colon cancer: the 2023 Korean clinical practice guidelines for diagnosis and treatment. Ann Coloproctol 2024; 40:89-113. [PMID: 38712437 PMCID: PMC11082542 DOI: 10.3393/ac.2024.00059.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/11/2024] [Accepted: 03/18/2024] [Indexed: 05/08/2024] Open
Abstract
Colorectal cancer is the third most common cancer in Korea and the third leading cause of death from cancer. Treatment outcomes for colon cancer are steadily improving due to national health screening programs with advances in diagnostic methods, surgical techniques, and therapeutic agents.. The Korea Colon Cancer Multidisciplinary (KCCM) Committee intends to provide professionals who treat colon cancer with the most up-to-date, evidence-based practice guidelines to improve outcomes and help them make decisions that reflect their patients' values and preferences. These guidelines have been established by consensus reached by the KCCM Guideline Committee based on a systematic literature review and evidence synthesis and by considering the national health insurance system in real clinical practice settings. Each recommendation is presented with a recommendation strength and level of evidence based on the consensus of the committee.
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Affiliation(s)
- Hyo Seon Ryu
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, Korea
| | - Hyun Jung Kim
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
- Institute for Evidence-based Medicine, Cochrane Collaboration, Seoul, Korea
| | - Woong Bae Ji
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University Ansan Hospital, Ansan, Korea
| | - Byung Chang Kim
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
| | - Ji Hun Kim
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sung Kyung Moon
- Department of Radiology, Kyung Hee University Hospital, Seoul, Korea
| | - Sung Il Kang
- Department of Surgery, Yeungnam University College of Medicine, Daegu, Korea
| | - Han Deok Kwak
- Department of Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Eun Sun Kim
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Chang Hyun Kim
- Department of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Tae Hyung Kim
- Department of Radiation Oncology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
| | - Gyoung Tae Noh
- Department of Surgery, Ewha Womans University College of Medicine, Seoul, Korea
| | - Byung-Soo Park
- Department of Surgery, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Hyeung-Min Park
- Department of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Jeong Mo Bae
- Department of Pathology, Seoul National University Hospital, Seoul, Korea
| | - Jung Hoon Bae
- Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ni Eun Seo
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Chang Hoon Song
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Mi Sun Ahn
- Department of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea
| | - Jae Seon Eo
- Department of Nuclear Medicine and Molecular Imaging, Korea University College of Medicine, Seoul, Korea
| | - Young Chul Yoon
- Department of General Surgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joon-Kee Yoon
- Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Korea
| | - Kyung Ha Lee
- Department of Surgery, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Kyung Hee Lee
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Kil-Yong Lee
- Department of Surgery, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Myung Su Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Sung Hak Lee
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jong Min Lee
- Department of Surgery, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - Ji Eun Lee
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Han Hee Lee
- Division of Gastroenterology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Myong Hoon Ihn
- Department of Surgery, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Je-Ho Jang
- Department of Surgery, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea
| | - Sun Kyung Jeon
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Kum Ju Chae
- Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea
| | - Jin-Ho Choi
- Center for Lung Cancer, Department of Thoracic Surgery, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Dae Hee Pyo
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gi Won Ha
- Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Kyung Su Han
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
| | - Young Ki Hong
- Department of Surgery, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Chang Won Hong
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
| | - Jung-Myun Kwak
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, Korea
| | - Korean Colon Cancer Multidisciplinary Committee
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
- Institute for Evidence-based Medicine, Cochrane Collaboration, Seoul, Korea
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University Ansan Hospital, Ansan, Korea
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Department of Radiology, Kyung Hee University Hospital, Seoul, Korea
- Department of Surgery, Yeungnam University College of Medicine, Daegu, Korea
- Department of Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Department of Surgery, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
- Department of Radiation Oncology, Nowon Eulji Medical Center, Eulji University, Seoul, Korea
- Department of Surgery, Ewha Womans University College of Medicine, Seoul, Korea
- Department of Surgery, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
- Department of Pathology, Seoul National University Hospital, Seoul, Korea
- Division of Colorectal Surgery, Department of Surgery, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea
- Department of Nuclear Medicine and Molecular Imaging, Korea University College of Medicine, Seoul, Korea
- Department of General Surgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Korea
- Department of Surgery, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Surgery, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
- Department of Hospital Pathology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Surgery, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
- Department of Radiology, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
- Division of Gastroenterology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
- Department of Surgery, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
- Department of Surgery, Daejeon Eulji Medical Center, Eulji University, Daejeon, Korea
- Department of Radiology, Jeonbuk National University Medical School, Jeonju, Korea
- Center for Lung Cancer, Department of Thoracic Surgery, Research Institute and Hospital, National Cancer Center, Goyang, Korea
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
- Department of Surgery, National Health Insurance Service Ilsan Hospital, Goyang, Korea
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Boraschi P, Moretto R, Donati F, Borelli B, Mercogliano G, Giugliano L, Boccaccino A, Della Pina MC, Colombatto P, Signori S, Masi G, Cremolini C, Urbani L. Exploring the Outcome of Disappearance or Small Remnants of Colorectal Liver Metastases during First-Line Chemotherapy on Hepatobiliary Contrast-Enhanced and Diffusion-Weighted MR Imaging. Cancers (Basel) 2023; 15:cancers15082200. [PMID: 37190129 DOI: 10.3390/cancers15082200] [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: 03/18/2023] [Revised: 04/01/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
We aimed to evaluate the outcome of the disappearance or small remnants of colorectal liver metastases during first-line chemotherapy assessed by hepatobiliary contrast-enhanced and diffusion-weighted MR imaging (DW-MRI). Consecutive patients with at least one disappearing liver metastasis (DLM) or small residual liver metastases (≤10 mm) assessed by hepatobiliary contrast-enhanced and DW-MRI during first-line chemotherapy were included. Liver lesions were categorized into three groups: DLM; residual tiny liver metastases (RTLM) when ≤5 mm; small residual liver metastases (SRLM) when >5mm and ≤10 mm. The outcome of resected liver metastases was assessed in terms of pathological response, whereas lesions left in situ were evaluated in terms of local relapse or progression. Fifty-two outpatients with 265 liver lesions were radiologically reviewed; 185 metastases fulfilled the inclusion criteria: 40 DLM, 82 RTLM and 60 SRLM. We observed a pCR rate of 75% (3/4) in resected DLM and 33% (12/36) of local relapse for DLM left in situ. We observed a risk of relapse of 29% and 57% for RTLM and SRLM left in situ, respectively, and a pCR rate of about 40% overall for resected lesions. DLM assessed via hepatobiliary contrast-enhanced and DW-MRI very probably indicates a complete response. The surgical removal of small remnants of liver metastases should always be advocated whenever technically possible.
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Affiliation(s)
- Piero Boraschi
- Department of Diagnostic and Interventional Radiology, and Nuclear Medicine, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
| | - Roberto Moretto
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy
| | - Francescamaria Donati
- Department of Diagnostic and Interventional Radiology, and Nuclear Medicine, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
| | - Beatrice Borelli
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Risorgimento 36, 56126 Pisa, Italy
| | - Giuseppe Mercogliano
- Department of Radiology, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy
| | - Luigi Giugliano
- Department of Radiology, University of Naples "Federico II", Via Pansini 5, 80131 Naples, Italy
| | - Alessandra Boccaccino
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Risorgimento 36, 56126 Pisa, Italy
| | - Maria Clotilde Della Pina
- Department of Diagnostic and Interventional Radiology, and Nuclear Medicine, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
| | - Piero Colombatto
- Hepatology Unit, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
| | - Stefano Signori
- General Surgery, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
| | - Gianluca Masi
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Risorgimento 36, 56126 Pisa, Italy
| | - Chiara Cremolini
- Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Via Roma 67, 56126 Pisa, Italy
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via Risorgimento 36, 56126 Pisa, Italy
| | - Lucio Urbani
- General Surgery, Azienda Ospedaliero-Universitaria Pisana, Via Paradisa 2, 56124 Pisa, Italy
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Blankenburg M, Elhamamy M, Zhang D, Fujikawa N, Corbin A, Jin G, Harris J, Knobloch G. Evaluation of health economic impact of initial diagnostic modality selection for colorectal cancer liver metastases in suspected patients in China, Japan and the USA. J Med Econ 2023; 26:219-232. [PMID: 36705988 DOI: 10.1080/13696998.2023.2173436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
AIMS To compare cost offsets and contributing factors (false-negative rates and confirmatory imaging requirements, potentially leading to longer waiting times for diagnosis) as well as long-term cost effectiveness associated with the diagnostic and treatment pathways for colorectal cancer liver metastases (CRCLM) in the US, Japan, and China according to initial imaging modality used. Gadoxetate disodium (ethoxylbenzyl-diethylenetriaminepentaacetic acid)-enhanced magnetic resonance imaging (EOB-MRI) was compared to multidetector computed tomography (MDCT), extracellular contrast media enhanced-MRI (ECCM-MRI) (the US and China only) and contrast-enhanced ultrasound (CEUS). MATERIALS AND METHODS Decision tree models were developed to simulate the clinical pathway, from first diagnostic test to initial treatment decision, based on local clinical guidelines and validated by experts. Input data were derived from the literature (up to 31st December 2020) as well as from interviews with local experts. A Markov model extension was built to evaluate the number of false-negative patients and associated costs, over a lifetime horizon. RESULTS The decision-tree models showed that, increasing proportionate use of initial EOB-MRI resulted in a cost-offset per patient (excluding false-negative patients) in all countries (USD 201 for the US, JPY 6,284 for Japan and CNY 446 for China) driven by reductions in follow-on diagnostic procedures and unnecessary treatment. The use of EOB-MRI was also associated with a shorter average waiting time to a final diagnosis and treatment decision compared to MDCT, ECCM-MRI and CEUS. The Markov model showed that with an increase in EOB-MRI use, there are fewer false-negative diagnoses over a lifetime horizon. In all three countries, the incremental cost-effectivenes ratio (ICER) was below standard willingness-to-pay thresholds. CONCLUSION The findings of these models demonstrate that use of EOB-MRI early in the diagnostic pathway for CRCLM results in short-term cost savings, as well as being cost effective in the long term.
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Fahy MR, Kelly ME, Aalbers AGJ, Abdul Aziz N, Abecasis N, Abraham-Nordling M, Akiyoshi T, Alberda W, Albert M, Andric M, Angeles MA, Angenete E, Antoniou A, Auer R, Austin KK, Aytac E, Aziz O, Bacalbasa N, Baker RP, Bali M, Baransi S, Baseckas G, Bebington B, Bedford M, Bednarski BK, Beets GL, Berg PL, Bergzoll C, Beynon J, Biondo S, Boyle K, Bordeianou L, Brecelj E, Bremers AB, Brunner M, Buchwald P, Bui A, Burgess A, Burger JWA, Burling D, Burns E, Campain N, Carvalhal S, Castro L, Caycedo-Marulanda A, Ceelan W, Chan KKL, Chang GJ, Chang M, Chew MH, Chok AY, Chong P, Clouston H, Codd M, Collins D, Colquhoun AJ, Constantinides J, Corr A, Coscia M, Cosimelli M, Cotsoglou C, Coyne PE, Croner RS, Damjanovich L, Daniels IR, Davies M, Delaney CP, de Wilt JHW, Denost Q, Deutsch C, Dietz D, Domingo S, Dozois EJ, Drozdov E, Duff M, Eglinton T, Enriquez-Navascues JM, Espín-Basany E, Evans MD, Eyjólfsdóttir B, Fearnhead NS, Ferron G, Flatmark K, Fleming FJ, Flor B, Folkesson J, Frizelle FA, Funder J, Gallego MA, Gargiulo M, García-Granero E, García-Sabrido JL, Gargiulo M, Gava VG, Gentilini L, George ML, George V, Georgiou P, Ghosh A, Ghouti L, et alFahy MR, Kelly ME, Aalbers AGJ, Abdul Aziz N, Abecasis N, Abraham-Nordling M, Akiyoshi T, Alberda W, Albert M, Andric M, Angeles MA, Angenete E, Antoniou A, Auer R, Austin KK, Aytac E, Aziz O, Bacalbasa N, Baker RP, Bali M, Baransi S, Baseckas G, Bebington B, Bedford M, Bednarski BK, Beets GL, Berg PL, Bergzoll C, Beynon J, Biondo S, Boyle K, Bordeianou L, Brecelj E, Bremers AB, Brunner M, Buchwald P, Bui A, Burgess A, Burger JWA, Burling D, Burns E, Campain N, Carvalhal S, Castro L, Caycedo-Marulanda A, Ceelan W, Chan KKL, Chang GJ, Chang M, Chew MH, Chok AY, Chong P, Clouston H, Codd M, Collins D, Colquhoun AJ, Constantinides J, Corr A, Coscia M, Cosimelli M, Cotsoglou C, Coyne PE, Croner RS, Damjanovich L, Daniels IR, Davies M, Delaney CP, de Wilt JHW, Denost Q, Deutsch C, Dietz D, Domingo S, Dozois EJ, Drozdov E, Duff M, Eglinton T, Enriquez-Navascues JM, Espín-Basany E, Evans MD, Eyjólfsdóttir B, Fearnhead NS, Ferron G, Flatmark K, Fleming FJ, Flor B, Folkesson J, Frizelle FA, Funder J, Gallego MA, Gargiulo M, García-Granero E, García-Sabrido JL, Gargiulo M, Gava VG, Gentilini L, George ML, George V, Georgiou P, Ghosh A, Ghouti L, Gil-Moreno A, Giner F, Ginther DN, Glyn T, Glynn R, Golda T, Griffiths B, Harris DA, Hagemans JAW, Hanchanale V, Harji DP, Helewa RM, Hellawell G, Heriot AG, Hochman D, Hohenberger W, Holm T, Hompes R, Hornung B, Hurton S, Hyun E, Ito M, Iversen LH, Jenkins JT, Jourand K, Kaffenberger S, Kandaswamy GV, Kapur S, Kanemitsu Y, Kazi M, Kelley SR, Keller DS, Ketelaers SHJ, Khan MS, Kiran RP, Kim H, Kim HJ, Koh CE, Kok NFM, Kokelaar R, Kontovounisios C, Kose F, Koutra M, Kristensen HØ, Kroon HM, Kumar S, Kusters M, Lago V, Lampe B, Lakkis Z, Larach JT, Larkin JO, Larsen SG, Larson DW, Law WL, Lee PJ, Limbert M, Loria A, Lydrup ML, Lyons A, Lynch AC, Maciel J, Manfredelli S, Mann C, Mantyh C, Mathis KL, Marques CFS, Martinez A, Martling A, Mehigan BJ, Meijerink WJHJ, Merchea A, Merkel S, Mehta AM, Mikalauskas S, McArthur DR, McCormick JJ, McCormick P, McDermott FD, McGrath JS, Malde S, Mirnezami A, Monson JRT, Navarro AS, Negoi I, Neto JWM, Ng JL, Nguyen B, Nielsen MB, Nieuwenhuijzen GAP, Nilsson PJ, Nordkamp S, Nugent T, Oliver A, O’Dwyer ST, O’Sullivan NJ, Paarnio K, Palmer G, Pappou E, Park J, Patsouras D, Peacock O, Pellino G, Peterson AC, Pinson J, Poggioli G, Proud D, Quinn M, Quyn A, Rajendran N, Radwan RW, Rajendran N, Rao C, Rasheed S, Rausa E, Regenbogen SE, Reims HM, Renehan A, Rintala J, Rocha R, Rochester M, Rohila J, Rothbarth J, Rottoli M, Roxburgh C, Rutten HJT, Safar B, Sagar PM, Sahai A, Saklani A, Sammour T, Sayyed R, Schizas AMP, Schwarzkopf E, Scripcariu D, Scripcariu V, Selvasekar C, Shaikh I, Simpson A, Skeie-Jensen T, Smart NJ, Smart P, Smith JJ, Solbakken AM, Solomon MJ, Sørensen MM, Sorrentino L, Steele SR, Steffens D, Stitzenberg K, Stocchi L, Stylianides NA, Swartling T, Spasojevic M, Sumrien H, Sutton PA, Swartking T, Takala H, Tan EJ, Taylor C, Tekin A, Tekkis PP, Teras J, Thaysen HV, Thurairaja R, Thorgersen EB, Toh EL, Tsarkov P, Tsukada Y, Tsukamoto S, Tuech JJ, Turner WH, Tuynman JB, Valente M, van Ramshorst GH, van Zoggel D, Vasquez-Jimenez W, Vather R, Verhoef C, Vierimaa M, Vizzielli G, Voogt ELK, Uehara K, Urrejola G, Wakeman C, Warrier SK, Wasmuth HH, Waters PS, Weber K, Weiser MR, Wheeler JMD, Wild J, Williams A, Wilson M, Wolthuis A, Yano H, Yip B, Yip J, Yoo RN, Zappa MA, Winter DC. Minimum standards of pelvic exenterative practice: PelvEx Collaborative guideline. Br J Surg 2022; 109:1251-1263. [PMID: 36170347 DOI: 10.1093/bjs/znac317] [Show More Authors] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/18/2022] [Accepted: 08/18/2022] [Indexed: 12/31/2022]
Abstract
This document outlines the important aspects of caring for patients who have been diagnosed with advanced pelvic cancer. It is primarily aimed at those who are establishing a service that adequately caters to this patient group. The relevant literature has been summarized and an attempt made to simplify the approach to management of these complex cases.
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Liang M, Ma X, Wang L, Li D, Wang S, Zhang H, Zhao X. Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery. Cancer Imaging 2022; 22:50. [PMID: 36089623 PMCID: PMC9465956 DOI: 10.1186/s40644-022-00485-z] [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: 06/04/2022] [Accepted: 08/24/2022] [Indexed: 11/10/2022] Open
Abstract
Background To develop a radiomics model based on pretreatment whole-liver portal venous phase (PVP) contrast-enhanced CT (CE-CT) images for predicting metachronous liver metastases (MLM) within 24 months after rectal cancer (RC) surgery. Methods This study retrospectively analyzed 112 RC patients without preoperative liver metastases who underwent rectal surgery between January 2015 and December 2017 at our institution. Volume of interest (VOI) segmentation of the whole-liver was performed on the PVP CE-CT images. All 1316 radiomics features were extracted automatically. The maximum-relevance and minimum-redundancy and least absolute shrinkage and selection operator methods were used for features selection and radiomics signature constructing. Three models based on radiomics features (radiomics model), clinical features (clinical model), and radiomics combined with clinical features (combined model) were built by multivariable logistic regression analysis. Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of models, and calibration curve and the decision curve analysis were performed to evaluate the clinical application value. Results In total, 52 patients in the MLM group and 60 patients in the non-MLM group were enrolled in this study. The radscore was built using 16 selected features and the corresponding coefficients. Both the radiomics model and the combined model showed higher diagnostic performance than clinical model (AUCs of training set: radiomics model 0.84 (95% CI, 0.76–0.93), clinical model 0.65 (95% CI, 0.55–0.75), combined model 0.85 (95% CI, 0.77–0.94); AUCs of validation set: radiomics model 0.84 (95% CI, 0.70–0.98), clinical model 0.58 (95% CI, 0.40–0.76), combined model 0.85 (95% CI, 0.71–0.99)). The calibration curves showed great consistency between the predicted value and actual event probability. The DCA showed that both the radiomics and combined models could add a net benefit on a large scale. Conclusions The radiomics model based on preoperative whole-liver PVP CE-CT could predict MLM within 24 months after RC surgery. Clinical features could not significantly improve the prediction efficiency of the radiomics model. Supplementary Information The online version contains supplementary material available at 10.1186/s40644-022-00485-z.
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Yang X, Bi X, Liu F, Huang J, Zhang Z. Predictive Efficacy of Circulating Tumor Cells in First Drainage Vein Blood from Patients with Colorectal Cancer liver Metastasis. Cancer Invest 2022; 40:767-776. [PMID: 35797354 DOI: 10.1080/07357907.2022.2098970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Circulating tumor cells (CTCs) are associated with metastasis. However, the low rate of detection of CTCs in peripheral vein blood (PVB) limits their clinical application. In this study, we observed higher positive rates of CTC in first drainage vein blood (FDVB) relative to peripheral venous blood (P < 0.001). Moreover, the CTC content was related to liver metastasis, T stage and CA19-9 levels. Our collective data suggest that CTCs in FDVB have good predictive utility for risk of liver metastasis of colorectal cancer (CRC), in particular, metachronous liver metastasis.
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Affiliation(s)
- Xiaoyu Yang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, China
| | - Xue Bi
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, China
| | - Fang Liu
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, China
| | - Jiafei Huang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, China
| | - Zhongguo Zhang
- Cancer Hospital of China Medical University, Liaoning Cancer Hospital &Institute, Shenyang, China
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8
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Borrego Gómez J, Romera N, Tellado J, del Campo L, Díaz Formoso J, Fuster M, Vivas I, Ramón Botella E, Menéndez de Llano Ortega R. Recomendaciones de expertos sobre el uso de ácido gadoxético en pacientes con metástasis hepáticas en España. RADIOLOGIA 2022. [DOI: 10.1016/j.rx.2021.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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9
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Borrego Gómez J, Romera N, Tellado J, del Campo L, Díaz Formoso J, Fuster M, Vivas I, Ramón Botella E, Menéndez de Llano Ortega R. Expert recommendations about the use of gadoxetic acid in patients with liver metastases in Spain. RADIOLOGIA 2022; 64:300-309. [DOI: 10.1016/j.rxeng.2021.09.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Accepted: 09/03/2021] [Indexed: 10/15/2022]
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10
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Ishikawa T, Ohno E, Mizutani Y, Iida T, Koya T, Sasaki Y, Ogawa H, Kinoshita F, Hirooka Y, Kawashima H. Comparison of contrast-enhanced transabdominal ultrasonography following endoscopic ultrasonography with GD-EOB-DTPA-enhanced MRI for the sequential diagnosis of liver metastasis in patients with pancreatic cancer. JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES 2022; 29:682-692. [PMID: 34878726 DOI: 10.1002/jhbp.1097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/28/2021] [Accepted: 11/23/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE To compare contrast-enhanced transabdominal ultrasonography (CE-US) following contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS) with enhanced magnetic resonance imaging using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (EOB-MRI) in the diagnosis of liver metastases in patients with pancreatic cancer. METHODS Patients who underwent contrast-enhanced computed tomography for possible pancreatic cancer and required further evaluation with CH-EUS were enrolled in this study, and the diagnostic performance of CE-US following CH-EUS for liver metastasis was compared with that of EOB-MRI. RESULTS A total of 228 patients were included in the final analysis. Two hundred thirty-four hepatic lesions were found in 81 patients, and 178 lesions were finally diagnosed as metastases. EOB-MRI had a higher sensitivity (0.837 vs 0.949), while CE-US had a higher specificity and positive predictive value (PPV) (0.982 and 0.993 vs 0.911 and 0.971, respectively) in the diagnosis of liver metastasis. CE-US with defect reperfusion imaging had a higher diagnostic performance than EOB-MRI (0.866 vs 0.667) in the differentiation between liver metastasis and abscess. CONCLUSION EOB-MRI had a higher sensitivity than CE-US for diagnosing liver metastasis in patients with pancreatic cancer, but CE-US following CH-EUS demonstrated a higher specificity and PPV than EOB-MRI and was especially useful in the differentiation between liver metastasis and abscess.
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Affiliation(s)
- Takuya Ishikawa
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Eizaburo Ohno
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasuyuki Mizutani
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tadashi Iida
- Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toshinari Koya
- Department of Gastroenterology, Tokai Central Hospital, Kakamigahara, Japan
| | - Yutaka Sasaki
- Department of Medical Technique, Nagoya University Hospital, Nagoya, Japan
| | - Hiroshi Ogawa
- Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Fumie Kinoshita
- Data Coordinating Center, Department of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan
| | - Yoshiki Hirooka
- Department of Gastroenterology and Gastroenterological Oncology, Fujita Health University, Toyoake, Japan
| | - Hiroki Kawashima
- Department of Endoscopy, Nagoya University Hospital, Nagoya, Japan
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11
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Bongers MN, Walter S, Fritz J, Bier G, Horger M, Artzner C. Interindividual Comparison of Frequency-Selective Nonlinear Blending to Conventional CT for Detection of Focal Liver Lesions Using MRI as the Reference Standard. AJR Am J Roentgenol 2022; 218:1021-1029. [PMID: 35018796 DOI: 10.2214/ajr.21.26922] [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: 11/18/2022]
Abstract
BACKGROUND. Diagnosing liver lesions is challenging. CT is used for primary diagnosis, but its contrast resolution is limited. Investigating methods to improve detection of liver lesions is important. OBJECTIVE. The purpose of this study was to evaluate the effect of frequency-selective nonlinear blending on the detectability of liver lesions on CT. METHODS. A retrospective search yielded 109 patients with 356 malignant and benign liver lesions (191 principally diagnosed, 165 incidental findings) who underwent contrast-enhanced CT (CECT) in the portal venous phase and liver MRI between January 2012 and December 2017. Nonlinear blending was applied to CECT examinations, and three blinded readers independently rated the quality (5-point Likert scale) of randomly presented images. Focal lesions (n = 356) were evaluated for lesion identification and categorization to assess sensitivity. For 191 lesions (primary diagnosis), two readers evaluated CECT and nonlinear blending CT to compare lesion size and the accuracy of subjective measurements. A fourth reader performed ROI measurements for calculation of contrast-to-noise ratio (CNR), and a fifth reader reviewed MRI as the standard of reference. Statistics included interobserver agreement, quantitative comparisons of CNR, lesion size, and subjective image analyses of image quality and sensitivity for detecting liver lesions. RESULTS. Three readers rated the image quality of nonlinear blending CT (rating, 4; 10th-90th percentiles, 4-5) higher than that of CECT (rating, 2; 10th-90th percentiles, 1-3) (p < .001). CECT had good interreader agreement (interclass correlation coefficient [ICC], 0.81; 95% CI, 0.76-0.85), as did nonlinear blending CT (ICC, 0.75; 95% CI, 0.69-0.79). The median CNR of liver lesions increased with nonlinear blending (CECT, 4.18 [10th-90th percentiles, 1.67-9.06]; nonlinear blending CT, 12.49 [10th-90th percentiles, 6.18-23.39]; p < .001). Bland-Altman analysis of lesion size showed a reduction in underestimation from 2.5 (SD, 9.2) mm (95% CI, 1.2-3.9 mm) with CECT to 0.1 (SD, 3.9) mm (95% CI, -0.68 to 0.46 mm) for nonlinear blending CT (concordance correlation coefficient, 0.99). Sensitivity for detecting liver lesions increased to 86% for nonlinear blending CT. The sensitivity of CECT was 76%. CONCLUSION. Frequency-selective nonlinear blending in CECT increases image quality and CNR, increases the precision of size measurement, and increases sensitivity for detecting liver lesions. CLINICAL IMPACT. Use of nonlinear blending CT improves liver lesion detection and increases the accuracy of lesion size measurement, which is important when local ablation or liver transplant is being considered.
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Affiliation(s)
- Malte N Bongers
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Hoppe-Seyler-Str 3, Tübingen 72076, Germany
| | - Sven Walter
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Hoppe-Seyler-Str 3, Tübingen 72076, Germany
- Department of Radiology, NYU Grossman School of Medicine, New York, NY
| | - Jan Fritz
- Department of Radiology, NYU Grossman School of Medicine, New York, NY
| | - Georg Bier
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Hoppe-Seyler-Str 3, Tübingen 72076, Germany
| | - Marius Horger
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Hoppe-Seyler-Str 3, Tübingen 72076, Germany
| | - Christoph Artzner
- Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, Hoppe-Seyler-Str 3, Tübingen 72076, Germany
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The Value of 18F-FDG-PET-CT Imaging in Treatment Evaluation of Colorectal Liver Metastases: A Systematic Review. Diagnostics (Basel) 2022; 12:diagnostics12030715. [PMID: 35328267 PMCID: PMC8947194 DOI: 10.3390/diagnostics12030715] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/04/2022] [Accepted: 03/05/2022] [Indexed: 02/01/2023] Open
Abstract
(1) Background: Up to 50% of patients with colorectal cancer either have synchronous colorectal liver metastases (CRLM) or develop CRLM over the course of their disease. Surgery and thermal ablation are the most common local treatment options of choice. Despite development and improvement in local treatment options, (local) recurrence remains a significant clinical problem. Many different imaging modalities can be used in the follow-up after treatment of CRLM, lacking evidence-based international consensus on the modality of choice. In this systematic review, we evaluated 18F-FDG-PET-CT performance after surgical resection, thermal ablation, radioembolization, and neoadjuvant and palliative chemotherapy based on current published literature. (2) Methods: A systematic literature search was performed on the PubMed database. (3) Results: A total of 31 original articles were included in the analysis. Only one suitable study was found describing the role of 18F-FDG-PET-CT after surgery, which makes it hard to draw a firm conclusion. 18F-FDG-PET-CT showed to be of additional value in the follow-up after thermal ablation, palliative chemotherapy, and radioembolization. 18F-FDG-PET-CT was found to be a poor to moderate predictor of pathologic response after neoadjuvant chemotherapy. (4) Conclusions: 18F-FDG-PET-CT is superior to conventional morphological imaging modalities in the early detection of residual disease after thermal ablation and in the treatment evaluation and prediction of prognosis during palliative chemotherapy and after radioembolization, and 18F-FDG-PET-CT could be considered in selected cases after neoadjuvant chemotherapy and surgical resection.
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13
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Yamada S, Kishi Y, Miyake M, Nara S, Esaki M, Shimada K. Characteristics of false-positive lesions in evaluating colorectal liver metastases on gadoxetic acid-enhanced magnetic resonance imaging. Surg Today 2022; 52:1178-1184. [PMID: 35043218 DOI: 10.1007/s00595-022-02451-5] [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: 08/27/2021] [Accepted: 11/17/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE Gadoxetic acid-enhanced MRI (Gd-EOB-MRI) shows higher sensitivity for colorectal liver metastases (CRLM) than contrast-enhanced computed tomography (CECT). However, the details of false-positive lesions for each imaging modality are unknown. METHODS Cases undergoing hepatectomy for CRLM following a preoperative evaluation with both CECT and Gd-EOB-MRI between July 2008 and December 2016 were reviewed. The false-positive and false-negative rates were assessed for each modality, and the characteristics of false-positive lesions were evaluated. RESULTS We evaluated 275 partial hepatectomies in 242 patients without preoperative chemotherapy. Among the 275 hepatectomies, 546 lesions were recognized by CECT and/or Gd-EOB-MRI. The false-positive rates for CECT and Gd-EOB-MRI were 4% (18/422) and 7% (37/536), respectively. The size of false-positive lesions was significantly smaller than that of correctly diagnosed lesions (median: 28 mm [3-120 mm] vs 7.6 mm [320 mm], P < 0.001). Compared with the 233 correctly diagnosed lesions ≤ 20 mm in diameter, false-positive lesions were more frequently located near the liver surface or vasculobiliary structures than true lesions (33/37 [89%] vs 149/233 [64%], respectively; P = 0.0021). CONCLUSION Gd-EOB-MRI had a 7% false-positive rate. A small size and tumor location near the surface or near vasculobiliary structures were associated with false positivity.
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Affiliation(s)
- Shuhei Yamada
- Division of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Yoji Kishi
- Division of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. .,Division of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
| | - Mototaka Miyake
- Division of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Satoshi Nara
- Division of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Minoru Esaki
- Division of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Kazuaki Shimada
- Division of Hepatobiliary and Pancreatic Surgery, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
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14
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Zhou N, Meng X, Zhang Y, Yu B, Yuan J, Yu J, Zhu H, Yang Z. Diagnostic Value of Delayed PET/MR in Liver Metastasis in Comparison With PET/CT. Front Oncol 2021; 11:717687. [PMID: 34527587 PMCID: PMC8435726 DOI: 10.3389/fonc.2021.717687] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/10/2021] [Indexed: 12/19/2022] Open
Abstract
Objectives The aim of this study was to evaluate the value of a delayed positron emission tomography/magnetic resonance (PET/MR) scan relative to a single positron emission tomography/computed tomography (PET/CT) scan for liver metastasis detection. Methods In this study, 70 patients with solid malignancies and suspicious liver lesions undergoing 2-deoxy-2-[18F]fluoro-D-glucose [(18F)FDG] PET/CT and subsequent delayed liver PET/MR scans were analyzed. The histopathological analysis and/or imaging follow-up were performed as the standard of reference. Lesion maximum standardized uptake value (SUVmax), diameter, and tumor to nontumor ratio (T/N) were measured. Lesion detection sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for both examinations. Results (1) The standard of reference revealed 208 liver lesions in 70 patients (metastasis in 56 patients with 196 lesions; benign in 14 patients with 12 lesions). Compared with PET/CT, PET/MR had higher accuracy (98.6% vs. 78.6%), sensitivity (98.2% vs. 76.8%), and specificity (100.0% vs. 85.7%) (2). The therapeutic strategies of 29 patients (41.4%) needed reconsideration after the additional PET/MR, including new metastases detected (13/70), new affected lobes identified (14/70), and false-positive corrected (2/70) (3). PET/MR detected significantly more metastases than PET/CT did, especially with small lesions. The SUVmax of the same lesion correlated well between the two acquisitions, while the delayed PET showed a higher T/N ratio. Conclusions In liver metastasis detection, the diagnostic value of the delayed PET/MR is validated to be superior to that of PET/CT, which may aid the clinical decision-making.
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Affiliation(s)
- Nina Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiangxi Meng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Boqi Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jianmin Yuan
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Jiangyuan Yu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hua Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhi Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China
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15
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Tsili AC, Alexiou G, Naka C, Argyropoulou MI. Imaging of colorectal cancer liver metastases using contrast-enhanced US, multidetector CT, MRI, and FDG PET/CT: a meta-analysis. Acta Radiol 2021; 62:302-312. [PMID: 32506935 DOI: 10.1177/0284185120925481] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Imaging of colorectal cancer liver metastases (CRCLMs) has improved in recent years. Therefore, the role of current imaging techniques needs to be defined. PURPOSE To assess the diagnostic performance of contrast-enhanced ultrasound (CEUS), multidetector computed tomography (MDCT), magnetic resonance imaging (MRI), and fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT in the detection of CRCLMs. MATERIAL AND METHODS PubMed database was searched for articles published during 2000-2019. Inclusion criteria were as follows: diagnosis/suspicion of CRCLMs; CEUS, MDCT, MRI, or FDG PET/CT performed for the detection of CRCLMs; prospective study design; histopathologic examination, intraoperative findings and/or follow-up used as reference standard; and data for calculating sensitivity and specificity reported. RESULTS Twelve prospective studies were assessed, including 536 patients with CRCLMs (n = 1335). On a per-lesion basis, the sensitivity of CEUS, MDCT, MRI, and FDG PET/CT was 86%, 84%, 89%, and 62%, respectively. MRI had the highest sensitivity on a per-lesion analysis. CEUS and MDCT had comparable sensitivities. On a per-patient basis, the sensitivity and specificity of CEUS, MDCT, MRI, and FDG PET/CT was 80% and 97%, 87% and 95%, 87% and 94%, and 96% and 97%, respectively. The per-patient sensitivities for MRI and MDCT were similar. The sensitivity for MRI was higher than that for CEUS, MDCT, and FDG PET/CT for lesions <10 mm and lesions at least 10 mm in size. Hepatospecific contrast agent did not improve diagnostic performances. CONCLUSION MRI is the preferred imaging modality for evaluating CRCLMs. Both MDCT and CEUS can be used as alternatives.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - George Alexiou
- Department of Neurosurgery, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Christina Naka
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Maria I Argyropoulou
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
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16
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Ichikawa S, Motosugi U, Suzuki T, Shimizu T, Onishi H. Imaging features of hepatic inflammatory pseudotumor: distinction from colorectal liver metastasis using gadoxetate disodium-enhanced magnetic resonance imaging. Abdom Radiol (NY) 2020; 45:2400-2408. [PMID: 32468212 DOI: 10.1007/s00261-020-02575-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE To identify gadoxetate disodium-enhanced MRI features distinguishing hepatic IPT from CLM. METHODS From February 2008 to December 2019, 162 lesions (IPT, n = 31 and CLM, n = 131) from 94 patients (mean age 65.1 ± 12.2 years; 65 men and 29 women) were retrospectively assessed for the presence or absence of obscure boundary, rim enhancement on arterial phase (AP), persistent rim enhancement during AP to transitional phase (TP), blood vessel penetration, peritumoral parenchymal enhancement on AP, peritumoral parenchymal hypointensity on hepatobiliary phase (HBP), peritumoral parenchymal hyperintensity on T2-weighted imaging (T2WI), biliary dilatation, central hypointensity with a relatively hyperintense periphery on HBP, peripheral hyperintensity on diffusion-weighted imaging (DWI) and T2WI, and lesion to liver signal intensity ratio (SIRlesion/liver) on HBP and DWI. Relevant features for differentiating between ITP and CLM were identified by univariate and multivariate analyses. RESULTS Univariate analysis revealed significantly higher frequencies of the following features in IPT than CLM: younger age, obscure boundary, blood vessel penetration, central hypointensity with a relatively hyperintense periphery on HBP, higher SIRlesion/liver on HBP, and lower SIRlesion/liver on DWI (P < 0.001‒0.035). Rim enhancement on AP and persistent rim enhancement during AP to TP were significantly more common in CLM than in IPT (P ≤ 0.001). Multivariate analysis revealed that a central hypointensity with a relatively peripheral hyperintensity on HBP, higher SIRlesion/liver on HBP, and lower SIRlesion/liver on DWI were predictive of IPT (P = 0.003‒0.039). CONCLUSION Central hypointensity with a relatively peripheral hyperintensity on HBP and SIRlesion/liver on HBP and DWI may be reliable gadoxetate disodium-enhanced MRI features for distinguishing IPT from CLM.
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Affiliation(s)
- Shintaro Ichikawa
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Utaroh Motosugi
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan.
- Department of Diagnostic Radiology, Kofu Kyoritsu Hospital, Kofu, Japan.
| | - Tatsuya Suzuki
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Tatsuya Shimizu
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
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17
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Ichikawa S, Isoda H, Shimizu T, Tamada D, Taura K, Togashi K, Onishi H, Motosugi U. Distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma by computed tomography and magnetic resonance imaging using the Bayesian method: a bi-center study. Eur Radiol 2020; 30:5992-6002. [PMID: 32500195 DOI: 10.1007/s00330-020-06972-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 04/07/2020] [Accepted: 05/20/2020] [Indexed: 12/16/2022]
Abstract
OBJECTIVES To determine imaging hallmarks for distinguishing intrahepatic mass-forming biliary carcinomas (IMBCs) from hepatocellular carcinoma (HCC) and to validate their diagnostic ability using Bayesian statistics. METHODS Study 1 retrospectively identified clinical and imaging hallmarks that distinguish IMBCs (n = 41) from HCC (n = 247) using computed tomography (CT) and magnetic resonance imaging (MRI). Study 2 retrospectively assessed the diagnostic ability of these hallmarks to distinguish IMBCs (n = 37) from HCC (n = 111) using Bayesian statistics with images obtained from a different institution. We also assessed the diagnostic ability of the hallmarks in the patient subgroup with high diagnostic confidence (≥ 80% of post-test probability). Two radiologists independently evaluated the imaging findings in studies 1 and 2. RESULTS In study 1, arterial phase peritumoral parenchymal enhancement on CT/MRI, delayed enhancement on CT/MRI, diffusion-weighted imaging peripheral hyperintensity, and bile duct dilatation were hallmarks indicating IMBCs, whereas chronic liver disease, non-rim arterial phase hyperenhancement on CT/MRI, enhancing capsule on CT/MRI, and opposed-phase signal drop were hallmarks indicating HCC (p = 0.001-0.04). In study 2, Bayesian statistics-based post-test probability combining all hallmark features had a diagnostic accuracy of 89.2% (132/148) in distinguishing IMBCs from HCC for both readers. In the high diagnostic confidence subgroup (n = 120 and n = 124 for readers 1 and 2, respectively), the accuracy improved (95.0% (114/120) and 93.5% (116/124) for readers 1 and 2, respectively). CONCLUSIONS Combined interpretation of CT and MRI to identify hallmark features is useful in discriminating IMBCs from HCCs. High post-test probability by Bayesian statistics allows for a more reliable non-invasive diagnosis. KEY POINTS • Combined interpretation of CT and MRI to identify hallmark features was useful in discriminating intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma. • Bayesian method-based post-test probability combining all hallmark features determined in study 1 showed high (> 90%) sensitivity and specificity for distinguishing intrahepatic mass-forming biliary carcinomas from hepatocellular carcinoma. • If the post-test probability or the confidence was ≥ 80% when combining the imaging features of CT and MRI, the high specificity of > 95% was achieved without any loss of sensitivity to distinguish hepatocellular carcinoma from intrahepatic mass-forming biliary carcinomas.
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Affiliation(s)
- Shintaro Ichikawa
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan.
| | - Hiroyoshi Isoda
- Preemptive Medicine and Lifestyle-related Disease Research Center, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Tatsuya Shimizu
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Daiki Tamada
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Kojiro Taura
- Department of Surgery, Graduate School of Medicine, Division Hepato-Biliary-Pancreatic Surgery and Transplantation, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Kaori Togashi
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
| | - Utaroh Motosugi
- Department of Radiology, University of Yamanashi, 1110 Shimokato, Chuo-shi, Yamanashi, 409-3898, Japan
- Department of Diagnostic Radiology, Kofu Kyoritsu Hospital, 1-9-1 Takara, Kofu-shi, Yamanashi, 400-0034, Japan
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18
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Abstract
There have been significant developments in the management of advanced and recurrent colorectal cancer in recent decades. 70% of primary colorectal tumours arise in the colon and for patients with stage I-III disease, the standard of care is surgical resection followed by adjuvant therapy where appropriate. Locoregional recurrence (LR) occurs in 4-11.5% of patients following treatment of primary colon cancer with curative intent, and can be categorised as peri-anastomotic, mesenteric/paracolic (nodal), retroperitoneal and peritoneal. Of these, peritoneal recurrence is usually recognised as the most challenging type of recurrence to manage. Patients with isolated peri-anastomotic or limited nodal recurrence in the mesentery or retroperitoneum may be curable by radical salvage surgery, which often requires en bloc multi-visceral resection, while patients with low volume peritoneal metastases may be candidates for cytoreductive surgery with hyperthermic intraperitoneal chemotherapy. Ensuring complete resection along embryonic mesocolic planes or en bloc resection of contiguously involved structures are best strategies to reduce the likelihood of local recurrence through a R1 resection margin. The role of complete mesocolic excision (CME) with high vascular ligation has been demonstrated to increase nodal yield and improve overall survival although this is more contentious. In patients with T4a disease and serosal surface involvement, peritoneal recurrence represents the greatest threat. Efforts for early diagnosis of peritoneal recurrence in these patients or prophylactic treatment, while intuitive have not demonstrated the survival benefit that would be expected. Other than locoregional recurrence (LR), systemic recurrence may occur in up to 50% of patients who have undergone curative resection for colorectal cancer. In keeping with portal venous outflow, the most common site of systemic recurrence is the liver. Although previously thought to be a fatal condition, liver resection is now the standard of care where liver metastases can be completely resected with clear margins plus leaving an adequate liver remnant with intact vascular inflow, outflow and biliary drainage. This can usually be achieved in 26-45% of patients presenting with liver metastases. Liver surgeons at the forefront of liver resection have also developed techniques to induce liver hypertrophy so as to improve likelihood of resectability. Even where patients have non-resectable disease, ablative techniques have become increasingly common. Naturally, none of these would be possible without the advent of improved chemotherapeutic and biological options in the field of medical oncology. Pulmonary metastasectomy with curative intent may be possible in a small number (10%) of patients with lung metastases, which is associated with an overall survival of up to 40%. Unlike liver metastases, proportionally less patients with pulmonary metastases will be resectable. For these patients, several ablative options are available. For all patients with recurrent colon cancer, patient selection for radical salvage surgery and decisions surrounding treatment strategy (including use of systemic therapy or ablative procedures) should take place in a multidisciplinary team setting.
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Affiliation(s)
- Kilian G M Brown
- SOuRCe (Surgical Outcomes Research Centre), Royal Prince Alfred Hospital, Sydney, Australia.,RPA Institute of Academic Surgery, Royal Prince Alfred Hospital, Sydney, Australia
| | - Cherry E Koh
- SOuRCe (Surgical Outcomes Research Centre), Royal Prince Alfred Hospital, Sydney, Australia.,RPA Institute of Academic Surgery, Royal Prince Alfred Hospital, Sydney, Australia.,Department of Colorectal Surgery, Royal Prince Alfred Hospital, Sydney, Australia.,Sydney Medical School, Discipline of Surgery, University of Sydney, Australia
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19
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Renzulli M, Clemente A, Spinelli D, Ierardi AM, Marasco G, Farina D, Brocchi S, Ravaioli M, Pettinari I, Cescon M, Reginelli A, Cappabianca S, Carrafiello G, Golfieri R. Gastric Cancer Staging: Is It Time for Magnetic Resonance Imaging? Cancers (Basel) 2020; 12:1402. [PMID: 32485933 PMCID: PMC7352169 DOI: 10.3390/cancers12061402] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 05/17/2020] [Accepted: 05/28/2020] [Indexed: 12/13/2022] Open
Abstract
Gastric cancer (GC) is a common cancer worldwide. Its incidence and mortality vary depending on geographic area, with the highest rates in Asian countries, particularly in China, Japan, and South Korea. Accurate imaging staging has become crucial for the application of various treatment strategies, especially for curative treatments in early stages. Unfortunately, most GCs are still diagnosed at an advanced stage, with the peritoneum (61-80%), distant lymph nodes (44-50%), and liver (26-38%) as the most common metastatic locations. Metastatic disease is limited to the peritoneum in 58% of cases; in nonperitoneal distant metastases, the most involved GC metastasization site is the liver (82%). The eighth edition of the tumor-node-metastasis staging system is the most commonly used system for determining GC prognosis. Endoscopic ultrasonography, computed tomography, and 18-fluorideoxyglucose positron emission tomography are historically the most accurate imaging techniques for GC staging. However, studies have recently shown renewed interest in magnetic resonance imaging (MRI) as a useful tool in GC staging, especially for distant metastasis assessment. The technical improvement of diffusion-weighted imaging and the increasing use of hepatobiliary contrast agents have been shown to increase the diagnostic performance of MRI, particularly for detecting peritoneal and liver metastasis. However, no principal oncological guidelines have included the use of MRI as a first-line technique for distant metastasis evaluation during the GC staging process, such as the National Comprehensive Cancer Network Guidelines. This review analyzed the role of the principal imaging techniques in GC diagnosis and staging, focusing on the potential role of MRI, especially for assessing peritoneal and liver metastases.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (D.S.); (S.B.); (I.P.); (R.G.)
| | - Alfredo Clemente
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (A.R.); (S.C.)
| | - Daniele Spinelli
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (D.S.); (S.B.); (I.P.); (R.G.)
| | - Anna Maria Ierardi
- Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, 20142 Milan, Italy; (A.M.I.); (G.C.)
| | - Giovanni Marasco
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy;
| | - Davide Farina
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, 25138 Brescia, Italy;
| | - Stefano Brocchi
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (D.S.); (S.B.); (I.P.); (R.G.)
| | - Matteo Ravaioli
- General and Transplant Surgery Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (M.R.); (M.C.)
| | - Irene Pettinari
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (D.S.); (S.B.); (I.P.); (R.G.)
| | - Matteo Cescon
- General and Transplant Surgery Unit, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (M.R.); (M.C.)
| | - Alfonso Reginelli
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (A.R.); (S.C.)
| | - Salvatore Cappabianca
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (A.R.); (S.C.)
| | - Gianpaolo Carrafiello
- Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, 20142 Milan, Italy; (A.M.I.); (G.C.)
| | - Rita Golfieri
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (D.S.); (S.B.); (I.P.); (R.G.)
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20
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Ichikawa S, Motosugi U, Morisaka H, Kozaka K, Goshima S, Ichikawa T. Optimal Combination of Features on Gadoxetate Disodium-enhanced MR Imaging for Non-invasive Differential Diagnosis of Hepatocellular Carcinoma: The JAMP-HCC Study. Magn Reson Med Sci 2020; 20:47-59. [PMID: 32101818 PMCID: PMC7952206 DOI: 10.2463/mrms.mp.2019-0193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Purpose: To determine the optimal combination of gadoxetate disodium-enhanced magnetic resonance imaging (MRI) findings for the diagnosis of hepatocellular carcinoma (HCC) and to compare its diagnostic ability to that of dynamic computed tomography (CT) in patients with chronic liver disease. Methods: This multi-institutional study consisted of two parts: Study 1, a retrospective study to determine the optimal combination of gadoxetate disodium-enhanced MRI findings (decision tree and logistic model) to distinguish HCC (n = 199) from benign (n = 81) or other malignant lesions (n = 95) (375 nodules in 269 patients) and Study 2, a prospective study to compare the diagnostic ability of gadoxetate disodium-enhanced MRI to distinguish HCC (n = 73) from benign (n = 15) or other malignant lesions (n = 12) with that of dynamic CT (100 nodules in 83 patients). Two radiologists independently evaluated the imaging findings (Study 1 and 2) and made a practical diagnosis (Study 2). Results: In Study 1, rim or whole enhancement on arterial phase images, signal intensities on T2-weighted/diffusion-weighted/portal venous/transitional/hepatobiliary phase images, and signal drop on opposed-phase images were independently useful for differential diagnosis. In Study 2, the accuracy, sensitivity, negative predictive value, and negative likelihood ratio of the CT decision tree (reader 2) were higher than those of MRI Model 2 (P = 0.015–0.033). There were no other significant differences in diagnostic ability (P = 0.059–1.000) and radiologist-made practical diagnosis (P = 0.059–1.000) between gadoxetate disodium-enhanced MRI and CT. Conclusion: We identified the optimal combination of gadoxetate disodium-enhanced MRI findings for HCC diagnosis. However, its diagnostic ability was not superior to that of dynamic CT.
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Affiliation(s)
| | | | - Hiroyuki Morisaka
- Department of Diagnostic Radiology, Saitama Medical University International Medical Center
| | - Kazuto Kozaka
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences
| | - Satoshi Goshima
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine.,Department of Radiology, Gifu University
| | - Tomoaki Ichikawa
- Department of Diagnostic Radiology, Saitama Medical University International Medical Center
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21
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Renzulli M, Clemente A, Ierardi AM, Pettinari I, Tovoli F, Brocchi S, Peta G, Cappabianca S, Carrafiello G, Golfieri R. Imaging of Colorectal Liver Metastases: New Developments and Pending Issues. Cancers (Basel) 2020; 12:151. [PMID: 31936319 PMCID: PMC7017094 DOI: 10.3390/cancers12010151] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Revised: 12/31/2019] [Accepted: 01/06/2020] [Indexed: 02/07/2023] Open
Abstract
Computed tomography (CT), magnetic resonance imaging (MRI), and 18-fluorideoxyglucose positron emission tomography (18FDG-PET) are historically the most accurate imaging techniques for diagnosing liver metastases. Recently, the combination of diffusion-weighted imaging and hepatospecific contrast media, such as gadoxetic acid in MRI, have been demonstrated to have the highest diagnostic accuracy, sensitivity, and specificity for detecting liver metastases. Various recent meta-analyses have confirmed the diagnostic superiority of this combination (diffusion-weighted imaging and gadoxetic acid-enhanced MRI), especially in terms of per lesion sensitivity, as compared with CT and 18FDG-PET, even for smaller lesions (≤1 cm). However, none of the oncological guidelines have suggested the use of MRI as a first-line technique for liver metastasis detection during the staging process of oncological patients. This review analyzes the history of the principal imaging techniques for the diagnosis of liver metastases, in particular of colorectal liver metastases, focusing on the most accurate method (diffusion-weighted imaging combined with gadoxetic acid-enhanced MRI), possible reasons for the lack of its diffusion in the guidelines, and possible future scenarios.
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Affiliation(s)
- Matteo Renzulli
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Alfredo Clemente
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (S.C.)
| | - Anna Maria Ierardi
- Diagnostic and Interventional Radiology, ASST Santi Paolo e Carlo, San Paolo Hospital, 20142 Milan, Italy;
| | - Irene Pettinari
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Francesco Tovoli
- Department of Specialised, Experimental and Diagnostic Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy;
| | - Stefano Brocchi
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Giuliano Peta
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
| | - Salvatore Cappabianca
- Radiology and Radiotherapy Unit, Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (A.C.); (S.C.)
| | - Gianpaolo Carrafiello
- Unit of Radiology, IRCCS Cà Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Rita Golfieri
- Radiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant’Orsola Hospital, University of Bologna, 40138 Bologna, Italy; (I.P.); (S.B.); (G.P.); (R.G.)
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22
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Liang M, Cai Z, Zhang H, Huang C, Meng Y, Zhao L, Li D, Ma X, Zhao X. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis. Acad Radiol 2019; 26:1495-1504. [PMID: 30711405 DOI: 10.1016/j.acra.2018.12.019] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 12/17/2018] [Accepted: 12/21/2018] [Indexed: 12/12/2022]
Abstract
RATIONALE AND OBJECTIVES To use machine learning-based magnetic resonance imaging radiomics to predict metachronous liver metastases (MLM) in patients with rectal cancer. MATERIALS AND METHODS This study retrospectively analyzed 108 patients with rectal cancer (54 in MLM group and 54 in nonmetastases group). Feature selection were performed in the radiomic feature sets extracted from images of T2-weighted image (T2WI) and venous phase (VP) sequence respectively, and the combining feature set with 2058 radiomic features incorporating two sequences with the least absolute shrinkage and selection operator method. Five-fold cross-validation and two machine learning algorithms (support vector machine [SVM]; logistic regression [LR]) were utilized for predictive model constructing. The diagnostic performance of the models was evaluated by receiver operating characteristic curves with indicators of accuracy, sensitivity, specificity and area under the curve, and compared by DeLong test. RESULTS Five, 8, and 22 optimal features were selected from 1029 T2WI, 1029 VP, and 2058 combining features, respectively. Four-group models were constructed using the five T2WI features (ModelT2), the 8 VP features (ModelVP), the combined 13 optimal features (Modelcombined), and the 22 optimal features selected from 2058 features (Modeloptimal). In ModelVP, the LR was superior to the SVM algorithm (P = 0.0303). The Modeloptimal using LR algorithm showed the best prediction performance (P = 0.0019-0.0081) with accuracy, sensitivity, specificity, and area under the curve of 0.80, 0.83, 0.76, and 0.87, respectively. CONCLUSION Radiomics models based on baseline rectal magnetic resonance imaging has high potential for MLM prediction, especially the Modeloptimal using LR algorithm. Moreover, except for ModelVP, the LR was not superior to the SVM algorithm for model construction.
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Affiliation(s)
- Meng Liang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Zhengting Cai
- Huiying Medical Technology Co., Ltd., HaiDian District, Beijing City, 100192, People's Republic of China
| | - Hongmei Zhang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Chencui Huang
- Huiying Medical Technology Co., Ltd., HaiDian District, Beijing City, 100192, People's Republic of China
| | - Yankai Meng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, People's Republic of China
| | - Li Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Dengfeng Li
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China
| | - Xiaohong Ma
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
| | - Xinming Zhao
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
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23
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Ichikawa S, Motosugi U, Kromrey ML, Tamada D, Wakayama T, Wang K, Cashen TA, Ersoz A, Onishi H. Utility of Stack-of-stars Acquisition for Hepatobiliary Phase Imaging without Breath-holding. Magn Reson Med Sci 2019; 19:99-107. [PMID: 31061270 PMCID: PMC7232028 DOI: 10.2463/mrms.mp.2019-0030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Purpose: Post-contrast liver magnetic resonance imaging is typically performed with breath-hold 3D gradient echo sequences. However, breath-holding for >10 s is difficult for some patients. In this study, we compared the quality of hepatobiliary phase (HBP) imaging without breath-holding using the prototype pulse sequences stack-of-stars liver acquisition with volume acceleration (LAVA) (LAVA Star) with or without navigator echoes (LAVA Starnavi+ and LAVA Starnavi−) and Cartesian LAVA with navigator echoes (Cartesian LAVAnavi+). Methods: Seventy-two patients were included in this single-center, retrospective, cross-sectional study. HBP imaging using the three LAVA sequences (Cartesian LAVAnavi+, LAVA Starnavi−, and LAVA Starnavi+) without breath-holding was performed for all patients using a 3T magnetic resonance system. Two independent radiologists qualitatively analyzed (overall image quality, liver edge sharpness, hepatic vein clarity, streak artifacts, and respiratory motion/pulsation artifacts) HBP images taken by the three sequences using a five-point scale. Quantitative evaluations were also performed by calculating the liver-to-spleen, -lesion, and -portal vein (PV) signal intensity ratios. The results were compared between the three sequences using the Friedman test. Results: LAVA Starnavi+ showed the best image quality and hepatic vein clarity (P < 0.0001). LAVA Starnavi− showed the lowest image quality (P < 0.0001–0.0106). LAVA Starnavi+ images showed fewer streak artifacts than LAVA Starnavi− images (P < 0.0001), while Cartesian LAVAnavi+ images showed no streak artifacts. Cartesian LAVAnavi+ images showed stronger respiratory motion/pulsation artifacts than the others (P < 0.0001). LAVA Starnavi− images showed the highest liver-to-spleen ratios (P < 0.0001–0.0005). Cartesian LAVAnavi+ images showed the lowest liver-to-lesion and -PV ratios (P < 0.0001–0.0108). Conclusion: In terms of image quality, the combination of stack-of-stars acquisition and navigator echoes is the best for HBP imaging without breath-holding.
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Affiliation(s)
| | | | | | - Daiki Tamada
- Department of Radiology, University of Yamanashi
| | | | - Kang Wang
- MR Collaboration and Development, GE Healthcare
| | - Ty A Cashen
- MR Collaboration and Development, GE Healthcare
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24
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Mori Y, Motosugi U, Shimizu T, Ichikawa S, Kromrey ML, Onishi H. Predicting Patients With Insufficient Liver Enhancement in the Hepatobiliary Phase Before the Injection of Gadoxetic Acid: A Practical Approach Using the Bayesian Method. J Magn Reson Imaging 2019; 51:62-69. [PMID: 31016840 DOI: 10.1002/jmri.26760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 04/08/2019] [Accepted: 04/09/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Gadoxetic acid-enhanced hepatobiliary phase (HBP) is useful in liver MRI, but sometimes shows insufficient liver enhancement. There is no established method to predict insufficient liver enhancement before the contrast injection. PURPOSE To reveal the utility of the Bayesian method for predicting patients with insufficient liver enhancement in the gadoxetic acid-enhanced HBP. STUDY TYPE Retrospective. SUBJECTS In all, 576 patients with chronic liver disease. FIELD STRENGTH/SEQUENCE 3T/3D gradient-echo T1 -weighted imaging and MR elastography (MRE). ASSESSMENT The patients were divided into two groups: insufficient and sufficient liver enhancement in HBP according to the liver-to-portal vein signal intensity ratio. Various parameters, including liver function tests and liver stiffness by MRE, were evaluated as predictors of insufficient liver enhancement. STATISTICAL TESTS We used Chi-square/Student's t-test/logistic regression analysis to determine independent associates, and Bayes' theorem to estimate the probability of insufficient (or sufficient) liver enhancement. The feasibility of Bayesian prediction of insufficient liver enhancement was tested by leave-one-out cross-validation to calculate sensitivity and specificity for single variables and combinations of some variables in all patients and in a subpopulation showing a confidence level of >80%. RESULTS Independent associates of insufficient liver enhancement in HBP included: serum albumin (odds ratio [OR] = 4.82, P < 0.001), total bilirubin (OR = 0.30, P < 0.00), platelet count (OR = 1.54, P < 0.00), and liver stiffness by MRE (OR = 0.59, P < 0.00). The accuracy of Bayesian prediction of insufficient liver enhancement was 80.9% (466/576) for the single parameter of albumin and 79.0% (455/576) for total bilirubin, and was increased to 85.2% (487/576) for a combination of albumin, total bilirubin, and liver stiffness. In patients who showed a confidence level of >80%, the accuracy was 89.0% (439/493) for the above combination. DATA CONCLUSION Bayesian prediction was useful to predict patients with insufficient enhancement by combining serum liver function tests and liver stiffness by MRE. LEVEL OF EVIDENCE 3 Technical Efficacy Stage: 5 J. Magn. Reson. Imaging 2020;51:62-69.
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Affiliation(s)
- Yuki Mori
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
| | - Utaroh Motosugi
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
| | - Tatsuya Shimizu
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
| | | | - Marie-Luise Kromrey
- Department of Radiology, University of Yamanashi, Yamanashi, Japan.,Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Hiroshi Onishi
- Department of Radiology, University of Yamanashi, Yamanashi, Japan
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25
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Detection of liver metastases on gadobenate dimeglumine-enhanced MRI: systematic review, meta-analysis, and similarities with gadoxetate-enhanced MRI. Eur Radiol 2019; 29:5205-5216. [PMID: 30915560 DOI: 10.1007/s00330-019-06110-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 01/16/2019] [Accepted: 02/13/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To determine the sensitivity and positive predictive value (PPV) of gadobenate-enhanced MR imaging for the detection of liver metastases. METHODS This systematic review and meta-analysis was conducted according to PRISMA guidelines. A comprehensive search (EMBASE, PubMed) was performed to identify relevant articles up to December 2017. Studies eligible for inclusion were performed using appropriate methodology with complete verification by means of histopathology, intraoperative observation and/or follow-up, and sufficient information to permit determination of true-positive (TP), false-negative (FN), and false-positive (FP) values. Sources of bias were assessed using the QUADAS-2 tool. An inverse variance-weighted random-effects model was used to obtain sensitivity and PPV estimates. Information was analyzed and presented using Cochran's Q statistic, funnel plots, and modified Deeks' analysis. RESULTS Ten articles (256 patients, 562 metastases) were included. Sensitivity estimates for pre-contrast (unenhanced) imaging, gadobenate-enhanced dynamic imaging, and combined unenhanced, dynamic, and delayed hepatobiliary phase imaging for detecting liver metastases on a per-lesion basis were 77.8% (95% CI 71.4-84.3%, 7 assessments), 88.1% (95% CI, 84.0-92.2%, 13 assessments), and 95.1% (95% CI 93.1-97.1%, 15 assessments), respectively. The addition of hepatobiliary phase images significantly improved the detection of liver metastases. The overall PPV was 90.9% (95% CI 86.6-95.1%, 11 assessments). Deeks' funnel analysis revealed no association between sample size and sensitivity (β = 0.02, p = 0.814) indicating no significant publication bias. CONCLUSIONS Gadobenate-enhanced MR imaging has high sensitivity and PPV for the detection of liver metastases on a per-lesion basis. The sensitivity and PPV for detection is comparable to reported values for the pure liver-specific agent gadoxetate. KEY POINTS • Gadobenate dimeglumine is a hepatobiliary MR contrast agent that permits acquisition of contrast-enhanced liver images during the immediate post-injection dynamic phase, like any extracellular agent, and in the delayed hepatobiliary phase, after specific uptake by the hepatocytes. • The hepatobiliary phase improves detection of liver metastases when compared either to pre-contrast unenhanced images alone or to pre-contrast + gadobenate-enhanced dynamic phase images. • The meta-analysis showed an overall sensitivity of 95.1% and PPV of 90.9% of gadobenate-enhanced MRI for the detection of metastases, when based on the evaluation of all available acquisitions.
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26
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Sivesgaard K, Larsen LP, Sørensen M, Kramer S, Schlander S, Amanavicius N, Bharadwaz A, Tønner Nielsen D, Viborg Mortensen F, Morre Pedersen E. Diagnostic accuracy of CE-CT, MRI and FDG PET/CT for detecting colorectal cancer liver metastases in patients considered eligible for hepatic resection and/or local ablation. Eur Radiol 2018; 28:4735-4747. [PMID: 29736846 DOI: 10.1007/s00330-018-5469-0] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 03/29/2018] [Accepted: 04/09/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE To compare the diagnostic performance of contrast-enhanced computed tomography (CE-CT), magnetic resonance imaging (MRI) and combined fluorodeoxyglucose/positron emission tomography/computed tomography (FDG-PET/CT) for detection of colorectal liver metastases (CRLM) in patients eligible for local treatment. MATERIALS AND METHODS This health-research ethics-committee-approved prospective consecutive diagnostic accuracy study, with written informed consent, included 80 cases (76 patients, four participating twice) between 29 June 2015 and 7 February 2017. Prior chemotherapy or local treatment did not exclude participation. Combined FDG-PET/CT including CE-CT and MRI was performed within 0-3 days shortly before local treatment. CE-CT and MRI images were read independently by two readers for each modality. The combined FDG-PET/CT images were read independently by two pairs of readers. A composite reference standard was used. Sensitivities, specificities and area under the receiver operating characteristic curves (AUCROC) were calculated and compared. RESULTS In total, 260 CRLMs were confirmed. The MRI readers had significantly higher per-lesion sensitivity (85.9% and 83.8%) than both CE-CT readers (69.1% and 62.3%) and both PET/CT reader pairs (72.0% and 72.1%) (p<0.001). There were no significant differences in per-lesion specificity. MRI readers had significantly higher AUCROC (0.92 and 0.88) than both CE-CT readers (0.80 and 0.82) (p≤0.001). AUCROC for MR reader 1 was higher than that of both PET/CT reader pairs (0.83 and 0.84) (p≤0.0001). CONCLUSION MRI performed significantly better than both CE-CT and combined FDG-PET/CT for detection of CRLM in consecutive patients eligible for local treatment irrespective of prior chemotherapy or local treatment. KEY POINTS • Patients eligible for local treatment of colorectal liver-metastases require optimal imaging. • In 80 consecutive patients, MRI had superior per lesion diagnostic performance. • Findings were independent of prior treatment and type of planned local treatment. • Equally, MRI had superior diagnostic performance on per segment basis.
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Affiliation(s)
- Kim Sivesgaard
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark.
| | - Lars P Larsen
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Michael Sørensen
- Department of Hepatology & Gastroenterology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Stine Kramer
- Department of Nuclear Medicine & PET-Centre, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Sven Schlander
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Nerijus Amanavicius
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Arindam Bharadwaz
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Dennis Tønner Nielsen
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Frank Viborg Mortensen
- Department of Surgery (section for upper gastrointestinal and hepato-pancreato-biliary surgery), Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
| | - Erik Morre Pedersen
- Department of Radiology, Aarhus University Hospital, NBG Noerrebrogade 44, 8000, Aarhus, Denmark
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