J.L. Mikell
Emory University
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Featured researches published by J.L. Mikell.
Cancer | 2015
Ronica H. Nanda; Yuan Liu; Theresa W. Gillespie; J.L. Mikell; Suresh S. Ramalingam; Felix G. Fernandez; Walter J. Curran; Joseph Lipscomb; K.A. Higgins
Stereotactic body radiation therapy (SBRT) has demonstrated high rates of local control with low morbidity and has now emerged as the standard of care for medically inoperable, early stage non–small cell lung cancer (NSCLC). However, the impact of lung SBRT on survival in the elderly population is less clear given competing comorbid conditions. An analysis of the National Cancer Data Base (NCDB) was undertaken to determine whether definitive SBRT improves survival relative to observation alone patients ages 70 years and older.
Journal of Thoracic Oncology | 2015
J.L. Mikell; Theresa W. Gillespie; William A. Hall; Dana Nickleach; Yuan Liu; Joseph Lipscomb; Suresh S. Ramalingam; R.S. Rajpara; Seth D. Force; Felix G. Fernandez; Taofeek K. Owonikoko; Rathi N. Pillai; Fadlo R. Khuri; Walter J. Curran; K.A. Higgins
Introduction: Use of postoperative radiotherapy (PORT) in non–small-cell lung cancer remains controversial. Limited data indicate that PORT may benefit patients with involved N2 nodes. This study evaluates this hypothesis in a large retrospective cohort treated with chemotherapy and contemporary radiation techniques. Methods: The National Cancer Data Base was queried for patients diagnosed 2004–2006 with resected non–small-cell lung cancer and pathologically involved N2 (pN2) nodes also treated with chemotherapy. Multivariable Cox proportional hazards model was used to assess factors associated with overall survival (OS). Inverse probability of treatment weighting (IPTW) using the propensity score was used to reduce selection bias. OS was compared between patients treated with versus without PORT using the adjusted Kaplan–Meier estimator and weighted log-rank test based on IPTW. Results: Two thousand and one hundred and fifteen patients were eligible for analysis. 918 (43.4%) received PORT, 1197 (56.6%) did not. PORT was associated with better OS (median survival time 42 months with PORT versus 38 months without, p = 0.048). This effect was significant in multivariable and IPTW Cox models (hazard ratio: 0.87, 95% confidence interval: 0.78–0.98, p = 0.026, and hazard ratio: 0.89, 95% confidence interval: 0.79–1.00, p = 0.046, respectively). No interaction was seen between the effects of PORT and number of involved lymph nodes (p = 0.615). Conclusions: PORT was associated with better survival for patients with pN2 nodes also treated with chemotherapy. No interaction was seen between benefit of PORT and number of involved nodes. These findings reinforce the benefit of PORT for N2 disease in modern practice using the largest, most recent cohort of chemotherapy-treated pN2 patients to date.
International Journal of Radiation Oncology Biology Physics | 2012
William A. Hall; J.L. Mikell; Pardeep K. Mittal; Lauren E. Colbert; Roshan S. Prabhu; David A. Kooby; Dana Nickleach; Krisztina Z. Hanley; Juan M. Sarmiento; Arif N. Ali; Jerome C. Landry
PURPOSE We assessed the accuracy of abdominal magnetic resonance imaging (MRI) for determining tumor size by comparing the preoperative contrast-enhanced T1-weighted gradient echo (3-dimensional [3D] volumetric interpolated breath-hold [VIBE]) MRI tumor size with pathologic specimen size. METHODS AND MATERIALS The records of 92 patients who had both preoperative contrast-enhanced 3D VIBE MRI images and detailed pathologic specimen measurements were available for review. Primary tumor size from the MRI was independently measured by a single diagnostic radiologist (P.M.) who was blinded to the pathology reports. Pathologic tumor measurements from gross specimens were obtained from the pathology reports. The maximum dimensions of tumor measured in any plane on the MRI and the gross specimen were compared. The median difference between the pathology sample and the MRI measurements was calculated. A paired t test was conducted to test for differences between the MRI and pathology measurements. The Pearson correlation coefficient was used to measure the association of disparity between the MRI and pathology sizes with the pathology size. Disparities relative to pathology size were also examined and tested for significance using a 1-sample t test. RESULTS The median patient age was 64.5 years. The primary site was pancreatic head in 81 patients, body in 4, and tail in 7. Three patients were American Joint Commission on Cancer stage IA, 7 stage IB, 21 stage IIA, 58 stage IIB, and 3 stage III. The 3D VIBE MRI underestimated tumor size by a median difference of 4 mm (range, -34-22 mm). The median largest tumor dimensions on MRI and pathology specimen were 2.65 cm (range, 1.5-9.5 cm) and 3.2 cm (range, 1.3-10 cm), respectively. CONCLUSIONS Contrast-enhanced 3D VIBE MRI underestimates tumor size by 4 mm when compared with pathologic specimen. Advanced abdominal MRI sequences warrant further investigation for radiation therapy planning in pancreatic adenocarcinoma before routine integration into the treatment planning process.
International Journal of Radiation Oncology Biology Physics | 2014
J.L. Mikell; Edmund K. Waller; Jeffrey M. Switchenko; Sravanti Rangaraju; Zahir Ali; Michael Graiser; William A. Hall; Amelia Langston; Natia Esiashvili; H. Jean Khoury; Mohammad K. Khan
PURPOSE Hematopoietic stem cell transplantation (HSCT) is the mainstay of treatment for adults with acute leukemia. Total body irradiation (TBI) remains an important part of the conditioning regimen for HCST. For those patients unable to tolerate myeloablative TBI (mTBI), reduced intensity TBI (riTBI) is commonly used. In this study we compared outcomes of patients undergoing mTBI with those of patients undergoing riTBI in our institution. METHODS AND MATERIALS We performed a retrospective review of all patients with acute leukemia who underwent TBI-based conditioning, using a prospectively acquired database of HSCT patients treated at our institution. Patient data including details of the transplantation procedure, disease status, Karnofsky performance status (KPS), response rates, toxicity, survival time, and time to progression were extracted. Patient outcomes for various radiation therapy regimens were examined. Descriptive statistical analysis was performed. RESULTS Between June 1985 and July 2012, 226 patients with acute leukemia underwent TBI as conditioning for HSCT. Of those patients, 180 had full radiation therapy data available; 83 had acute lymphoblastic leukemia and 94 had acute myelogenous leukemia; 45 patients received riTBI, and 135 received mTBI. Median overall survival (OS) was 13.7 months. Median relapse-free survival (RFS) for all patients was 10.2 months. Controlling for age, sex, KPS, disease status, and diagnosis, there were no significant differences in OS or RFS between patients who underwent riTBI and those who underwent mTBI (P=.402, P=.499, respectively). Median length of hospital stay was shorter for patients who received riTBI than for those who received mTBI (16 days vs 23 days, respectively; P<.001), and intensive care unit admissions were less frequent following riTBI than mTBI (2.22% vs 12.69%, respectively, P=.043). Nonrelapse survival rates were also similar (P=.186). CONCLUSIONS No differences in OS or RFS were seen between all patients undergoing riTBI and those undergoing mTBI, despite older age and potential increased comorbidity of riTBI patients. riTBI regimens were associated with shorter length of hospital stay, fewer intensive care unit admissions, and similar rates of nonrelapse survival, which may reflect reduced toxicity. Prospective trials comparing riTBI and mTBI are warranted.
Practical radiation oncology | 2016
Daniel G. Tanenbaum; William A. Hall; Pardeep K. Mittal; Dana Nickleach; J.L. Mikell; Lauren E. Colbert; Courtney C. Moreno; Malcolm H. Squires; Sarah B. Fisher; David S. Yu; David A. Kooby; Shishir K. Maithel; Jerome C. Landry
PURPOSE The accuracy of abdominal magnetic resonance imaging (MRI) in measuring gross tumor volume in patients with resectable cholangiocarcinoma (CC) is unknown. CC is a highly difficult tumor to visualize and treatment with dose-escalated radiation therapy requires clear tumor delineation. We aim to investigate the concordance between imaging and pathologic size in patients with resected CC to determine the usefulness of MRI for image guided treatment modalities. METHODS AND MATERIALS The records of 51 patients with resected CC who underwent preoperative MRI were evaluated. Each preoperative MRI was individually reviewed by a diagnostic radiologist (P.M.), who was blinded to pathologic measurements. A combination of dynamic multiphase contrast-enhanced T1- and T2-weighted images, original imaging reports, and pathologic reports were reviewed for greatest tumor dimensions. A general linear regression model was used to examine the outcome MRI minus pathology using MRI report, T1-weighted measurement, or T2-weighted measurement. A multivariable regression model was fit to assess the association of other factors with pathologic underestimation. RESULTS The median age was 69 years. Eleven tumors were categorized distal/extrahepatic, 17 hilar, and 23 intrahepatic CC. The median tumor size on pathology report was 3.00 cm (range, 0.3-19). The median tumor size from the MRI report was 3 cm (range, 0.80-16.20) and median tumor size on independent radiological review was 3 cm (range, 0.90-17) on the T1-weighted and 3 cm (range, 0.90-17) on the T2-weighted MRI sequences. When compared with pathologic tumor size, the MRI report dimension was found to underestimate tumor size by 4.1 mm (P = .04). On multivariable analysis, pathologic size underestimation was influenced by increasing tumor size (slope, -0.20; P < .001); however, underestimation was not affected by tumor location or MRI sequence. CONCLUSIONS MRI underestimates tumor size, which was more pronounced with larger tumors, but not influenced by tumor location. The potential for gross tumor volume underestimation should be considered when planning highly conformal radiation therapy treatment of CC.
Clinical Lung Cancer | 2016
N. Jegadeesh; Yuan Liu; Theresa W. Gillespie; Felix G. Fernandez; Suresh S. Ramalingam; J.L. Mikell; Joseph Lipscomb; Walter J. Curran; K.A. Higgins
Journal of Clinical Oncology | 2015
Jonathan J. Beitler; J.L. Mikell; Jeffrey M. Switchenko
Journal of Radiation Oncology | 2016
J.L. Mikell; William A. Hall; Dana Nickleach; Yuan Liu; N. Jegadeesh; Peter J. Rossi; Ashesh B. Jani
International Journal of Radiation Oncology Biology Physics | 2016
Scott Edelman; Edmund K. Waller; Michael Graiser; Amelia Langston; Vishal R. Dhere; J.L. Mikell; Jeffrey M. Switchenko; Natia Esiashvili; Mohammad K. Khan
International Journal of Radiation Oncology Biology Physics | 2015
N. Jegadeesh; Yuan Liu; Theresa W. Gillespie; Felix G. Fernandez; R. Suresh; J.L. Mikell; Joseph Lipscomb; Walter J. Curran; K.A. Higgins