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Choi JW, Kim HC, Lee JH, Yu SJ, Cho EJ, Kim MU, Hur S, Lee M, Jae HJ, Chung JW. Cone Beam CT-Guided Chemoembolization of Probable Hepatocellular Carcinomas Smaller than 1 cm in Patients at High Risk of Hepatocellular Carcinoma. J Vasc Interv Radiol 2017; 28:795-803.e1. [PMID: 28302348 DOI: 10.1016/j.jvir.2017.01.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 01/20/2017] [Accepted: 01/24/2017] [Indexed: 12/16/2022] Open
Abstract
PURPOSE To evaluate the effectiveness and safety of cone-beam computed tomography (CT)-guided chemoembolization for probable hepatocellular carcinomas (HCCs) smaller than 1 cm in patients at high risk for HCC. MATERIALS AND METHODS From December 2009 to May 2014, 57 patients (43 male and 14 female; mean age, 61.1 y) at high risk for HCC underwent cone-beam CT-guided conventional chemoembolization for 79 treatment-naive probable HCCs < 1 cm. Probable HCCs were diagnosed when hepatic nodules showed arterial enhancement and washout on dynamic CT or magnetic resonance images. The Kaplan-Meier method and Cox proportional-hazards regression were used to evaluate the time to local progression (TTLP), time to progression (TTP), and overall survival (OS). RESULTS Initial follow-up images obtained 2-3 months after chemoembolization showed complete response in all 79 tumors. The 1-, 2-, and 3-year local progression rates were 10.4%, 21.7%, and 35.7%, respectively. Subsegmental catheterization (P < .001; hazard ratio [HR] = .041) and segmental catheterization (P = .001; HR = .049) were significantly associated with longer TTLP. The 1-, 2-, and 3-year progression rates were 40.5%, 66.7%, and 78.6%, respectively. Tumor multiplicity (P = .004; HR = 2.612) was a significant risk factor for shorter TTP. The 1-, 2-, and 3-year OS rates were 100%, 98.2%, and 88.5%, respectively. Child-Turcotte-Pugh class B disease (P = .029; HR = 5.989) was significantly associated with shorter OS. No complications occurred after chemoembolization. CONCLUSIONS Cone-beam CT-guided chemoembolization can be a useful and safe option for probable HCCs < 1 cm in patients at high risk for HCC.
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Affiliation(s)
- Jin Woo Choi
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea.
| | - Hyo-Cheol Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Jeong-Hoon Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Su Jong Yu
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Eun Ju Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Min-Uk Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Saebeom Hur
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Myungsu Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Hwan Jun Jae
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Jin Wook Chung
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea
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Costa EAC, Cunha GM, Smorodinsky E, Cruite I, Tang A, Marks RM, Clark L, Wolfson T, Gamst A, Sicklick JK, Hemming A, Peterson MR, Middleton MS, Sirlin CB. Diagnostic Accuracy of Preoperative Gadoxetic Acid-enhanced 3-T MR Imaging for Malignant Liver Lesions by Using Ex Vivo MR Imaging-matched Pathologic Findings as the Reference Standard. Radiology 2015; 276:775-86. [PMID: 25875972 DOI: 10.1148/radiol.2015142069] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
PURPOSE To determine per-lesion sensitivity and positive predictive value (PPV) of gadoxetic acid-enhanced 3-T magnetic resonance (MR) imaging for the diagnosis of malignant lesions by using matched (spatially correlated) hepatectomy pathologic findings as the reference standard. Materials and METHODS In this prospective, institutional review board-approved, HIPAA-compliant study, 20 patients (nine men, 11 women; mean age, 59 years) with malignant liver lesions who gave written informed consent underwent preoperative gadoxetic acid-enhanced 3-T MR imaging for surgical planning. Two image sets were independently analyzed by three readers to detect liver lesions (set 1 without and set 2 with hepatobiliary phase [HBP] images). Hepatectomy specimen ex vivo MR imaging assisted in matching gadoxetic acid-enhanced 3-T MR imaging findings with pathologic findings. Interreader agreement was assessed by using the Cohen κ coefficient. Per-lesion sensitivity and PPV were calculated. RESULTS Cohen κ values were 0.64-0.76 and 0.57-0.84, and overall per-lesion sensitivity was 45% (42 of 94 lesions) to 56% (53 of 94 lesions) and 58% (55 of 94 lesions) to 64% (60 of 94 lesions) for sets 1 and 2, respectively. The addition of HBP imaging did not affect interreader agreement but significantly improved overall sensitivity for one reader (P < .05) and almost for another (P = .05). Sensitivity for 0.2-0.5-cm lesions was 0% (0 of 26 lesions) to 8% (two of 26 lesions) for set 1 and 4% (one of 26 lesions) to 12% (three of 26 lesions) for set 2. Sensitivity for 0.6-1.0-cm lesions was 28% (nine of 32 lesions) to 59% (19 of 32 lesions) for set 1 and 66% (21 of 32 lesions) to 69% (22 of 32 lesions) for set 2. Sensitivity for lesions at least 1.0 cm in diameter was at least 81% (13 of 16 lesions) for set 1 and was not improved for set 2. PPV was 98% (56 of 57 lesions) to 100% (60 of 60 lesions) for all readers without differences between image sets or lesion size. CONCLUSION Gadoxetic acid-enhanced 3-T MR imaging provides high per-lesion sensitivity and PPV for preoperative malignant liver lesion detection overall, although sensitivity for 0.2-0.5-cm malignant lesions is poor.
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Affiliation(s)
- Eduardo A C Costa
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Guilherme M Cunha
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Emmanuil Smorodinsky
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Irene Cruite
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - An Tang
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Robert M Marks
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Lisa Clark
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Tanya Wolfson
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Anthony Gamst
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Jason K Sicklick
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Alan Hemming
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Michael R Peterson
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Michael S Middleton
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
| | - Claude B Sirlin
- From the Liver Imaging Group, Department of Radiology, University of California-San Diego, 408 Dickinson St, San Diego, CA 92103-8226 (E.A.C.C., G.M.C., E.S., I.C., A.T., R.M.M., L.C., M.S.M., C.B.S.); Department of Radiology, Naval Medical Center San Diego, San Diego, Calif (R.M.M.); Computational and Applied Statistics Laboratory, San Diego Supercomputer Center, University of California-San Diego, San Diego, Calif (T.W., A.G.); Department of Surgery and Moores Cancer Center, University of California-San Diego, San Diego, Calif (J.K.S., A.H.); and Western Washington Pathology and Multicare Health System, Tacoma, Wash (M.R.P.)
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