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Gamboa AC, Zaidi MY, Lee RM, Speegle S, Switchenko JM, Lipscomb J, Cloyd JM, Ahmed A, Grotz T, Leiting J, Fournier K, Lee AJ, Dineen S, Powers BD, Lowy AM, Kotha NV, Clarke C, Gamblin TC, Patel SH, Lee TC, Lambert L, Hendrix RJ, Abbott DE, Vande Walle K, Lafaro K, Lee B, Johnston FM, Greer J, Russell MC, Staley CA, Maithel SK. Optimal Surveillance Frequency After CRS/HIPEC for Appendiceal and Colorectal Neoplasms: A Multi-institutional Analysis of the US HIPEC Collaborative. Ann Surg Oncol 2020; 27:134-146. [PMID: 31243668 PMCID: PMC6925634 DOI: 10.1245/s10434-019-07526-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Indexed: 01/19/2023]
Abstract
BACKGROUND No guidelines exist for surveillance following cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) for appendiceal and colorectal cancer. The primary objective was to define the optimal surveillance frequency after CRS/HIPEC. METHODS The U.S. HIPEC Collaborative database (2000-2017) was reviewed for patients who underwent a CCR0/1 CRS/HIPEC for appendiceal or colorectal cancer. Radiologic surveillance frequency was divided into two categories: low-frequency surveillance (LFS) at q6-12mos or high-frequency surveillance (HFS) at q2-4mos. Primary outcome was overall survival (OS). RESULTS Among 975 patients, the median age was 55 year, 41% were male: 31% had non-invasive appendiceal (n = 301), 45% invasive appendiceal (n = 435), and 24% colorectal cancer (CRC; n = 239). With a median follow-up time of 25 mos, the median time to recurrence was 12 mos. Despite less surveillance, LFS patients had no decrease in median OS (non-invasive appendiceal: 106 vs. 65 mos, p < 0.01; invasive appendiceal: 120 vs. 73 mos, p = 0.02; colorectal cancer [CRC]: 35 vs. 30 mos, p = 0.8). LFS patients had lower median PCI scores compared with HFS (non-invasive appendiceal: 10 vs. 19; invasive appendiceal: 10 vs. 14; CRC: 8 vs. 11; all p < 0.01). However, on multivariable analysis, accounting for PCI score, LFS was still not associated with decreased OS for any histologic type (non-invasive appendiceal: hazard ratio [HR]: 0.28, p = 0.1; invasive appendiceal: HR: 0.73, p = 0.42; CRC: HR: 1.14, p = 0.59). When estimating annual incident cases of CRS/HIPEC at 375 for non-invasive appendiceal, 375 invasive appendiceal and 4410 colorectal, LFS compared with HFS for the initial two post-operative years would potentially save $13-19 M/year to the U.S. healthcare system. CONCLUSIONS Low-frequency surveillance after CRS/HIPEC for appendiceal or colorectal cancer is not associated with decreased survival, and when considering decreased costs, may optimize resource utilization.
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Affiliation(s)
- Adriana C Gamboa
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Mohammad Y Zaidi
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Rachel M Lee
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Shelby Speegle
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Jeffrey M Switchenko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joseph Lipscomb
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jordan M Cloyd
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Ahmed Ahmed
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Travis Grotz
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
| | - Jennifer Leiting
- Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA
| | - Keith Fournier
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew J Lee
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sean Dineen
- Department of Surgery, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | | | - Andrew M Lowy
- Division of Surgical Oncology, Department of Surgery, University of California, San Diego, CA, USA
| | - Nikhil V Kotha
- Division of Surgical Oncology, Department of Surgery, University of California, San Diego, CA, USA
| | - Callisia Clarke
- Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - T Clark Gamblin
- Division of Surgical Oncology, Department of Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Sameer H Patel
- Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Tiffany C Lee
- Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Laura Lambert
- Division of Surgical Oncology, Department of Surgery, University of Massachusetts Medical School, Worcester, MA, USA
| | - Ryan J Hendrix
- Division of Surgical Oncology, Department of Surgery, University of Massachusetts Medical School, Worcester, MA, USA
| | - Daniel E Abbott
- Division of Surgical Oncology, Department of Surgery, University of Wisconsin, Madison, WI, USA
| | - Kara Vande Walle
- Division of Surgical Oncology, Department of Surgery, University of Wisconsin, Madison, WI, USA
| | - Kelly Lafaro
- Division of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | - Byrne Lee
- Division of Surgical Oncology, Department of Surgery, City of Hope National Medical Center, Duarte, CA, USA
| | | | - Jonathan Greer
- Department of Surgery, Johns Hopkins University, Baltimore, MD, USA
| | - Maria C Russell
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Charles A Staley
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Shishir K Maithel
- Division of Surgical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
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Jabeen N, Qureshi R, Sattar A, Baloch M. Diagnostic Accuracy of Maximum Intensity Projection in Diagnosis of Malignant Pulmonary Nodules. Cureus 2019; 11:e6120. [PMID: 31886058 PMCID: PMC6903899 DOI: 10.7759/cureus.6120] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Introduction Pulmonary nodules are frequently encountered during chest imaging, and its evaluation is usually done by chest radiograph and computed tomography (CT) scan of chest. High resolution of multidetector CT (MDCT) has improved the nodule detection. Post processing techniques such as maximum intensity projection (MIP) can further improve the sensitivity of MDCT for nodule detection. Failure to diagnose malignancy in pulmonary nodules can delay the treatment. Therefore, the aim of this study was to determine the diagnostic accuracy of MIP in the diagnosis of malignant pulmonary nodules taking histopathology findings as gold standard. Materials and methods A retrospective cross-sectional study was conducted at Dow Institute of Radiology, Dow University of Health Sciences, from 1 December 2018 till 30 June 2019. Both male and female patients aged 18 years and above who underwent CT scan of chest with suspicion of pulmonary nodules were included. Patients already diagnosed with malignant pulmonary nodules and presenting for follow-up were excluded. Contrast-enhanced CT chest was performed on a multi-slice scanner. MIP reconstruction and evaluation was performed on the workstation. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of MIP were calculated taking histopathology findings as gold standard. Results A total of 202 patients were included in this study. The mean age of the patients was 55.87 ± 13.08 years. A total of 103 patients (51.0%) were males and 99 patients (49.0%) were females. There were 131 (64.9%) nodules with smooth margins and 71 (35.1%) nodules with irregular margins. The mean size of nodule was 3.1 ± 0.7 cm. Sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of MIP in diagnosing malignant pulmonary nodules were found to be 85.82%, 82.35%, 90.55%, 74.67%, and 84.65%, respectively, taking histopathology findings as gold standard. The nodules >3 cm in size had a higher sensitivity for diagnosing malignant pulmonary nodules. Smooth margin nodule had high sensitivity, specificity, and diagnostic accuracy for diagnosing malignant pulmonary nodules. Conclusion MIP images have high sensitivity, specificity, and diagnostic accuracy in the diagnosis of malignant pulmonary nodules. The utilization of MIP images can aid in the detection of malignant pulmonary nodules and help in formulating early treatment strategies for the patients. Other post processing techniques such as volume rendering and computer-aided detection can help in further improving patient care.
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Affiliation(s)
- Naila Jabeen
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Ruby Qureshi
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Amjad Sattar
- Radiology, Dow University of Health Sciences, Karachi, PAK
| | - Musarat Baloch
- Internal Medicine, Liaquat University of Medical and Health Sciences, Hyderabad/Jamshoro, PAK
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Liu GT, Ryan E, Gustafson E, VanPelt MD, Raspovic KM, Lalli T, Wukich DK, Xi Y, Chhabra A. Three-Dimensional Computed Tomographic Characterization of Normal Anatomic Morphology and Variations of the Distal Tibiofibular Syndesmosis. J Foot Ankle Surg 2019; 57:1130-1136. [PMID: 30197255 DOI: 10.1053/j.jfas.2018.05.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Indexed: 02/03/2023]
Abstract
Malreduction of distal tibiofibular syndesmosis (DTFS) leads to poor functional outcomes after ankle fracture surgery. Difficulty achieving anatomic alignment of the syndesmosis is due to variable morphology of the fibular incisura of the tibia and a paucity of literature regarding its morphologic characteristics. We surveyed 775 consecutive ankle computed tomography (CT) scans performed from June 2008 to December 2011, and 203 (26.2%) were included for evaluation. Two observers performed quantitative measurements and qualitative evaluated fibular incisura morphology. Tang ratios for fibular rotation, anterior and posterior tibiofibular distances, fibular incisura depth, and subjective morphologies on CT were assessed using conventional multiplanar reconstruction (MPR) and maximum intensity projections (MIPs). On conventional CT, the mean Tang ratio was 0.97 ± 0.06; the mean anterior tibiofibular distance was 2.17 ± 0.87 mm; the mean posterior tibiofibular distance was 3.52 ± 0.94 mm; and the mean depth of fibular incisura was 3.29 ± 1.19 mm. Five morphologic variations of the fibular incisura were identified: crescentic, trapezoid, flat, chevron, and widow's peak. The most common fibular incisura morphology was crescentic (61.3%), followed by trapezoid shape (25.1%); the least common morphology was flat (3.1%). Interobserver variability with intraclass correlation coefficient (ICC) was slightly higher for all quantitative measures on MPR (ICC = 0.72 to .81) versus MIP (ICC = 0.64 to 0.75). ICC for incisura shape and depth assessments was poor on both modalities (0.13 to 0.38). This comprehensive CT study reports on quantitative and qualitative descriptive measures to evaluate fibular incisura morphologies and fibular orientation. It also defines the frequency of DTFS measures and the interobserver performance on 2 CT evaluation methods.
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Affiliation(s)
- George T Liu
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX.
| | - Easton Ryan
- Medical Student, University of Texas Southwestern Medical School, Dallas, TX
| | - Eric Gustafson
- Medical Student, University of Texas Southwestern Medical School, Dallas, TX
| | - Michael D VanPelt
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Katherine M Raspovic
- Assistant Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Trapper Lalli
- Assistant Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Dane K Wukich
- Professor and Chairman, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - Yin Xi
- Associate Professor, Radiology, and Chief, Division of Musculoskeletal Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Avneesh Chhabra
- Associate Professor, Orthopaedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX; Assistant Professor, Radiology, University of Texas Southwestern Medical Center, Dallas, TX
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Bae YJ, Choi BS, Lee KM, Yoon YH, Sunwoo L, Jung C, Kim JH. Efficacy of Maximum Intensity Projection of Contrast-Enhanced 3D Turbo-Spin Echo Imaging with Improved Motion-Sensitized Driven-Equilibrium Preparation in the Detection of Brain Metastases. Korean J Radiol 2017; 18:699-709. [PMID: 28670165 PMCID: PMC5447646 DOI: 10.3348/kjr.2017.18.4.699] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 01/16/2017] [Indexed: 11/15/2022] Open
Abstract
Objective To evaluate the diagnostic benefits of 5-mm maximum intensity projection of improved motion-sensitized driven-equilibrium prepared contrast-enhanced 3D T1-weighted turbo-spin echo imaging (MIP iMSDE-TSE) in the detection of brain metastases. The imaging technique was compared with 1-mm images of iMSDE-TSE (non-MIP iMSDE-TSE), 1-mm contrast-enhanced 3D T1-weighted gradient-echo imaging (non-MIP 3D-GRE), and 5-mm MIP 3D-GRE. Materials and Methods From October 2014 to July 2015, 30 patients with 460 enhancing brain metastases (size > 3 mm, n = 150; size ≤ 3 mm, n = 310) were scanned with non-MIP iMSDE-TSE and non-MIP 3D-GRE. We then performed 5-mm MIP reconstruction of these images. Two independent neuroradiologists reviewed these four sequences. Their diagnostic performance was compared using the following parameters: sensitivity, reading time, and figure of merit (FOM) derived by jackknife alternative free-response receiver operating characteristic analysis. Interobserver agreement was also tested. Results The mean FOM (all lesions, 0.984; lesions ≤ 3 mm, 0.980) and sensitivity ([reader 1: all lesions, 97.3%; lesions ≤ 3 mm, 96.2%], [reader 2: all lesions, 97.0%; lesions ≤ 3 mm, 95.8%]) of MIP iMSDE-TSE was comparable to the mean FOM (0.985, 0.977) and sensitivity ([reader 1: 96.7, 99.0%], [reader 2: 97, 95.3%]) of non-MIP iMSDE-TSE, but they were superior to those of non-MIP and MIP 3D-GREs (all, p < 0.001). The reading time of MIP iMSDE-TSE (reader 1: 47.7 ± 35.9 seconds; reader 2: 44.7 ± 23.6 seconds) was significantly shorter than that of non-MIP iMSDE-TSE (reader 1: 78.8 ± 43.7 seconds, p = 0.01; reader 2: 82.9 ± 39.9 seconds, p < 0.001). Interobserver agreement was excellent (κ > 0.75) for all lesions in both sequences. Conclusion MIP iMSDE-TSE showed high detectability of brain metastases. Its detectability was comparable to that of non-MIP iMSDE-TSE, but it was superior to the detectability of non-MIP/MIP 3D-GREs. With a shorter reading time, the false-positive results of MIP iMSDE-TSE were greater. We suggest that MIP iMSDE-TSE can provide high diagnostic performance and low false-positive rates when combined with 1-mm sequences.
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Affiliation(s)
- Yun Jung Bae
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Byung Se Choi
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Kyung Mi Lee
- Department of Radiology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul 02447, Korea
| | - Yeon Hong Yoon
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Cheolkyu Jung
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Jae Hyoung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
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