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297 results on '"Doubilet, Peter M."'

1. A Lexicon for First-Trimester US: Society of Radiologists in Ultrasound Consensus Conference Recommendations

Author

Rodgers, Shuchi K., Horrow, Mindy M., Doubilet, Peter M., Frates, Mary C., Kennedy, Anne, Andreotti, Rochelle, Brandi, Kristyn, Detti, Laura, Horvath, Sarah K., Kamaya, Aya, Koyama, Atsuko, Lema, Penelope Chun, Maturen, Katherine E., Morgan, Tara, Običan, Sarah G., Olinger, Kristen, Sohaey, Roya, Senapati, Suneeta, and Strachowski, Lori M.

Published
2025
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2. Risk Factors Are Not Very Risky Once a Normal Embryonic Heart Rate is Seen in Early Pregnancy.

Author

Doubilet, Peter M. and Guo, Yang

Subjects
UTERINE fibroids, UTERINE hemorrhage, GESTATIONAL age, PROGNOSIS, HEMATOMA, HEART beat, MATERNAL age
Abstract

Objectives: To assess first‐trimester prognosis when an early pregnancy sonogram demonstrates a normal embryonic heart rate and to determine how a number of risk factors affect prognosis. Methods: Our study population consisted of 6597 first‐trimester scans with gestational age (GA) ≤ 7.0 weeks (all with crown‐rump length [CRL] <10 mm), normal embryonic heart, and known first‐trimester outcome. We recorded GA; CRL; heart rate; first‐trimester outcome; maternal age; presence, absence, and size of subchorionic hematoma; presence or absence of vaginal bleeding; and presence, absence, and size of uterine fibroids. We assessed first‐trimester outcome in the study population and subsets based on the above data. Results: First‐trimester outcome was successful in 6030 of the 6597 cases (91.4%). The prognosis was somewhat worse with each of the following risk factors: maternal age ≥35 years, large subchorionic hematoma, and large or multiple uterine fibroids (P <.02, chi‐squared or Cochran's test for trend, for all of these items). The rate of successful outcome was in the range of 83–88% with each of these risk factors and 93.8% in the absence of any of these factors. Conclusions: The presence of a normal embryonic heart rate on an early first‐trimester sonogram is a reassuring finding, indicating a likelihood of good first‐trimester outcome of at least 83% even in the presence of risk factors, and of over 90% in the absence of such factors. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Diagnostic Criteria for Nonviable Pregnancy Early in the First Trimester

Author

Doubilet, Peter M, Benson, Carol B, Bourne, Tom, Blaivas, Michael, Barnhart, Kurt T, Benacerraf, Beryl R, Brown, Douglas L, Filly, Roy A, Fox, J Christian, Goldstein, Steven R, Kendall, John L, Lyons, Edward A, Porter, Misty Blanchette, Pretorius, Dolores H, and Timor-Tritsch, Ilan E

Subjects
Crown-Rump Length, False Positive Reactions, Female, Fetal Death, Fetal Viability, Gestational Sac, Humans, Pregnancy, Pregnancy Trimester, First, Ultrasonography, Prenatal, Society of Radiologists in Ultrasound Multispecialty Panel on Early First Trimester Diagnosis of Miscarriage and Exclusion of a Viable Intrauterine Pregnancy, Medical and Health Sciences, General & Internal Medicine
Published
2013

11. Differential Growth Rates of Benign vs. Malignant Thyroid Nodules

Author

Angell, Trevor E, Vyas, Chirag M, Medici, Marco, Wang, Zhihong, Barletta, Justine A, Benson, Carol B, Cibas, Edmund S, Cho, Nancy L, Doherty, Gerard M, Doubilet, Peter M, Frates, Mary C, Gawande, Atul A, Heller, Howard T, Kim, Matthew I, Krane, Jeffrey F, Marqusee, Ellen, Moore, Francis D, Jr., Nehs, Matt A, Zavacki, Ann Marie, Larsen, P Reed, and Alexander, Erik K

Published
2017
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12. Guidance restricts choice and may be clinically unsafe

Author

Bourne, Tom, Barnhart, Kurt, Benson, Carol B, Brosens, Jan, Van Calster, Ben, Condous, George, Coomerasamy, Arri, Doubilet, Peter M, Goldstein, Steven R, Gould, Deborah, Kirk, Emma, Mol, Ben Willem, Raine-Fenning, Nicholas, Stalder, Catriona, and Timmerman, Dirk

Published
2013

16. CONTRIBUTORS

Author

Acharya, Patricia T., Adler, Ronald S., Aguado, Allison, Alexander, Lauren Freeman, Asch, Elizabeth, Atwell, Thomas D., Auckland, Amanda K., Aziz, Muhammad U., Benson, Carol B., Bluth, Edward I., Bulas, Dorothy, Burgan, Constantine M., Burns, Peter N., Buros, Christopher M., Carnahan, Molly B., Castro-Aragon, Ilse, Charboneau, J. William, Chitayat, David, Choi, William, Coleman, Beverly G., Cunnane, Mary E., Doubilet, Peter M., Drose, Julia A., Dunn-Albanese, Lisa R., Egloff, Alexia M., Estroff, Judy A., Fananapazir, Ghaneh, Fowlkes, J. Brian, Frates, Mary C., Gabriel, Helena, Gaetke-Udager, Kara, Ghai, Sangeet, Ghandehari, Hournaz, Glanc, Phyllis, Holland, Christy K., Horrow, Mindy M., Hwang, Misun, John, Susan D., Johnson, Stephen I., Kajal, Dilkash, Kalor, Ashley N., Keunen, Johannes, Khalili, Korosh, Kline-Fath, Beth M., Kumaev, Boris Bulat, Leschied, Jessica, Levine, Deborah, Li, Yi, Lockhart, Mark E., Medellin, Alexandra, Nguyen, HaiThuy N., O’Brien, Barbara, O'Hara, Sara M., Oliver, Edward R., Paltiel, Harriet J., Patel, Maitray D., Phillips, Catherine H., Phillips, Jordana, Potretzke, Theodora A., Rabinowitz, Deborah, Radhakrishnan, Rupa, LaVonne Robbin, Michelle, Rumack, Carol M., Sanchez-Jacob, Ramon, Savicke, Alison M., Chandulal Shah, Chetan, Sharbidre, Kedar Gopal, Shipp, Thomas D., Squires, Judy H., Tessler, Franklin N., Toi, Ants, Troxclair, Laurie, Tublin, Mitchell E., Umphrey, Heidi R., Wall, Darci J., Weber, Therese M., Wei, Pei-Kang, Wilson, Stephanie R., Winter, Thomas, III, Xue, Christine L., Yablon, Corrie M., Yu, Hojun, Zahid, Mohd, and Zhang, Da

Published
2024
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18. How Are Childhood Thyroid Nodules Discovered: Opportunities for Improving Early Detection

Author

Gupta, Anjuli, Ly, Samantha, Castroneves, Luciana A., Frates, Mary C., Benson, Carol B., Feldman, Henry A., Wassner, Ari J., Smith, Jessica R., Marqusee, Ellen, Alexander, Erik K., Barletta, Justine, Muyide, Funmilayo, Doubilet, Peter M., Peters, Hope E., Webb, Susan, Modi, Biren P., Paltiel, Harriet J., Martins, Yolanda, Burmeister, Kelly, Kozakewich, Harry, Hollowell, Monica, Cibas, Edmund S., Moore, Francis D., Jr, Shamberger, Robert C., Larsen, Reed P., and Huang, Stephen A.

Published
2014
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19. Long-term assessment of a multidisciplinary approach to thyroid nodule diagnostic evaluation

Author

Yassa, Leila, Cibas, Edmund C., Benson, Carol B., Frates, Mary C., Doubilet, Peter M., Gawande, Atul A., Moore, Francis D., Kim, Brian W., Nose, Vania, Marqusee, Ellen, Larsen, P. Reed, and Alexander, Erik K.

Subjects
Thyroid diseases -- Diagnosis, Thyroid diseases -- Research, Biopsy, Needle -- Methods, Biopsy, Needle -- Usage, Biopsy, Needle -- Research, Diagnosis, Ultrasonic -- Usage, Diagnosis, Ultrasonic -- Research, Health
Published
2007

20. A Standardized Assessment of Thyroid Nodules in Children Confirms Higher Cancer Prevalence Than in Adults

Author

Gupta, Anjuli, Ly, Samantha, Castroneves, Luciana A., Frates, Mary C., Benson, Carol B., Feldman, Henry A., Wassner, Ari J., Smith, Jessica R., Marqusee, Ellen, Alexander, Erik K., Barletta, Justine, Doubilet, Peter M., Peters, Hope E., Webb, Susan, Modi, Biren P., Paltiel, Harriet J., Kozakewich, Harry, Cibas, Edmund S., Moore, Francis D., Jr, Shamberger, Robert C., Larsen, P. Reed, and Huang, Stephen A.

Published
2013

22. Thyroid Nodule Size and Prediction of Cancer

Author

Kamran, Sophia C., Marqusee, Ellen, Kim, Mathew I., Frates, Mary C., Ritner, Julie, Peters, Hope, Benson, Carol B., Doubilet, Peter M., Cibas, Edmund S., Barletta, Justine, Cho, Nancy, Gawande, Atul, Ruan, Daniel, Moore, Francis D., Jr, Pou, Karla, Larsen, P. Reed, and Alexander, Erik K.

Published
2013

24. Reply

Author

Doubilet, Peter M., primary, Phillips, Catherine H., additional, Durfee, Sara M., additional, and Benson, Carol B., additional

Published
2020
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26. Contributors

Author

Alexandrov, Andrei V., primary, Baker, J. Dennis, additional, Bandyk, Dennis, additional, Bendick, Phillip J., additional, Benson, Carol B., additional, Berdejo, George L., additional, Burke, Brian J., additional, Carter, Stefan A., additional, Cronan, John J., additional, Diethrich, Edward B., additional, Doubilet, Peter M., additional, Friedman, Steven G., additional, Galt, Spencer W., additional, Keck, Gregory, additional, Lipsitz, Evan C., additional, Lockhart, Mark E., additional, Mitchell, Erica L., additional, Moneta, Gregory L., additional, Nabavi, Darius G., additional, Needleman, Laurence, additional, Neumyer, Marsha M., additional, Otis, Shirley M., additional, Pellerito, John S., additional, Ringelstein, E. Bernd, additional, Robbin, Michelle L., additional, Singh, Robert S., additional, Talbot, Steven R., additional, Zagzebski, James A., additional, Zierler, R. Eugene, additional, and Zwiebel, William J., additional

Published
2005
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37. Simple Adnexal Cysts: SRU Consensus Conference Update on Follow-up and Reporting

Author

Levine, Deborah, primary, Patel, Maitray D., additional, Suh-Burgmann, Elizabeth J., additional, Andreotti, Rochelle F., additional, Benacerraf, Beryl R., additional, Benson, Carol B., additional, Brewster, Wendy R., additional, Coleman, Beverly G., additional, Doubilet, Peter M., additional, Goldstein, Steven R., additional, Hamper, Ulrike M., additional, Hecht, Jonathan L., additional, Horrow, Mindy M., additional, Hur, Hye-Chun, additional, Marnach, Mary L., additional, Pavlik, Ed, additional, Platt, Lawrence D., additional, Puscheck, Elizabeth, additional, Smith-Bindman, Rebecca, additional, and Brown, Douglas L., additional

Published
2019
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38. A Cohort Analysis of Clinical and Ultrasound Variables Predicting Cancer Risk in 20,001 Consecutive Thyroid Nodules

Author

Angell, Trevor E, primary, Maurer, Rie, additional, Wang, Zhihong, additional, Kim, Matthew I, additional, Alexander, Caroline A, additional, Barletta, Justine A, additional, Benson, Carol B, additional, Cibas, Edmund S, additional, Cho, Nancy L, additional, Doherty, Gerard M, additional, Doubilet, Peter M, additional, Frates, Mary C, additional, Gawande, Atul A, additional, Krane, Jeff F, additional, Marqusee, Ellen, additional, Moore, Francis D, additional, Nehs, Matthew A, additional, Larsen, P Reed, additional, and Alexander, Erik K, additional

Published
2019
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39. First‐Trimester Prognosis When an Early Gestational Sac is Seen on Ultrasound Imaging: Logistic Regression Prediction Model.

Author

Doubilet, Peter M., Phillips, Catherine H., Durfee, Sara M., and Benson, Carol B.

Subjects
ULTRASONIC imaging, TRANSVAGINAL ultrasonography, REGRESSION analysis, LOGISTIC regression analysis, PROGNOSIS, RECEIVER operating characteristic curves, PREDICTION models, UTERINE hemorrhage
Abstract

Objectives: To determine the factors that jointly and independently affect first‐trimester outcome of very early intrauterine pregnancies (those whose sonogram shows a gestational sac with no identifiable yolk sac or embryo) and develop a mathematical model and Web‐based calculator that computes prognosis based on these factors. Methods: Our study population included 590 very early pregnancies scanned between January 1, 2012, and June 30, 2018, with known outcomes (live or spontaneous loss) at 14 weeks. We recorded patient age, mean sac diameter (MSD), human chorionic gonadotropin (hCG) rise, and presence/absence of: vaginal bleeding, history of infertility, prior miscarriage, and pregnancy via assisted reproductive technology. We assessed the correlation between each of these factors and outcome and performed stepwise logistic regression to determine the subset that independently correlated with outcome. Results: Patient age, MSD, hCG rise, vaginal bleeding, history of infertility, and assisted reproductive technology pregnancy were significantly correlated with outcome (P <.05, t test for age and MSD, χ2 for the others). Stepwise logistic regression identified age, MSD, hCG rise, and vaginal bleeding as the subset of factors that independently predicted outcome. The regression model's area under the receiver operating characteristic curve was 0.823. We incorporated the regression model into a Web‐based calculator (https://tinyurl.com/Prognosis-PD) that predicts the outcome of an early intrauterine pregnancy based on these 4 key variables. Conclusions: The prognosis of very early intrauterine pregnancies is related to several clinical, biochemical, and sonographic factors. The factors that independently correlate with first‐trimester outcome are patient age, MSD, hCG rise, and vaginal bleeding. The logistic regression model predicts outcome based on these variables. Access the CME test here and search by article title. [ABSTRACT FROM AUTHOR]

Published
2021
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42. A Lexicon for First-Trimester US: Society of Radiologists in Ultrasound Consensus Conference Recommendations

Author

Rodgers, Shuchi K., Horrow, Mindy M., Doubilet, Peter M., Frates, Mary C., Kennedy, Anne, Andreotti, Rochelle, Brandi, Kristyn, Detti, Laura, Horvath, Sarah K., Kamaya, Aya, Koyama, Atsuko, Lema, Penelope Chun, Maturen, Katherine E., Morgan, Tara, Običan, Sarah G., Olinger, Kristen, Sohaey, Roya, Senapati, Suneeta, and Strachowski, Lori M.

Abstract

The Society of Radiologists in Ultrasound First-Trimester US Lexicon recommends well-defined, scientific, and specific terminology to communicate clearly across disciplines, minimize bias and harm, and respect patient preferences.

Published
2024
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43. Intrauterine growth retardation: diagnosis based on multiple parameters--a prospective study

Author

Benson, Carol B., Belville, John S., Lentini, John F., Saltzman, Daniel H., and Doubilet, Peter M.

Subjects
Ultrasound imaging -- Usage, Prenatal diagnosis -- Methods, Fetus -- Growth retardation, Health
Abstract

Intrauterine growth retardation (IUGR) refers to abnormally slow fetal growth; it most commonly occurs in the third trimester of pregnancy. Babies born suffering from IUGR have a greater chance of dying or of having complications. Detection of IUGR before birth may be useful in promptly treating babies born with it. Sonography, imaging obtained by using ultrasound, can measure a number of parameters that indicate the growth of the unborn baby. These parameters can be useful in diagnosing IUGR prior to birth. A scoring system has been developed based on three of these parameters to aid in the diagnosis of IUGR. These parameters are estimated fetal weight, amniotic fluid volume, and maternal blood pressure status (normal or elevated). The scoring system is on a scale of 0 to 100, with a higher number indicating a greater chance of IUGR. This study tested the scoring system on 356 fetuses, 39 of whom were diagnosed with IUGR after birth. The results showed that the IUGR scores could be divided into three main categories. Fetuses with scores less than 50 only had a 3 percent chance of IUGR (virtually excluding IUGR). Those with scores greater than 60 had a 74 percent probability of IUGR (meaning IUGR is likely). Those with scores between 50 and 60 had a 13 percent probability of IUGR (in this category it was difficult to predict its likelihood). The scoring system was most accurate for predicting IUGR when an earlier sonogram had been taken to determine the gestational age. These results indicate that the scoring system developed using the three parameters can be a useful tool for the early diagnosis or exclusion of IUGR in the third trimester; the system can be used at any ultrasound facility. (Consumer Summary produced by Reliance Medical Information, Inc.)

Published
1990

45. Quantitative Analysis of the Benefits and Risk of Thyroid Nodule Evaluation in Patients ≥70 Years Old

Author

Wang, Zhihong, primary, Vyas, Chirag M., additional, Van Benschoten, Olivia, additional, Nehs, Matt A., additional, Moore, Francis D., additional, Marqusee, Ellen, additional, Krane, Jeffrey F., additional, Kim, Matthew I., additional, Heller, Howard T., additional, Gawande, Atul A., additional, Frates, Mary C., additional, Doubilet, Peter M., additional, Doherty, Gerard M., additional, Cho, Nancy L., additional, Cibas, Edmund S., additional, Benson, Carol B., additional, Barletta, Justine A., additional, Zavacki, Ann Marie, additional, Larsen, P. Reed, additional, Alexander, Erik K., additional, and Angell, Trevor E., additional

Published
2018
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46. Obstetric and Gynecologic Ultrasound Curriculum and Competency Assessment in Residency Training Programs:Consensus Report

Author

Abuhamad, Alfred, Minton, Katherine K, Benson, Carol B, Chudleigh, Trish, Crites, Lori, Doubilet, Peter M, Driggers, Rita, Lee, Wesley, Mann, Karen V, Perez, James J, Rose, Nancy C, Simpson, Lynn L, Tabor, Ann, Benacerraf, Beryl R, Abuhamad, Alfred, Minton, Katherine K, Benson, Carol B, Chudleigh, Trish, Crites, Lori, Doubilet, Peter M, Driggers, Rita, Lee, Wesley, Mann, Karen V, Perez, James J, Rose, Nancy C, Simpson, Lynn L, Tabor, Ann, and Benacerraf, Beryl R

Abstract

Ultrasound imaging has become integral to the practice of obstetrics and gynecology. With increasing educational demands and limited hours in residency programs, dedicated time for training and achieving competency in ultrasound has diminished substantially. The American Institute of Ultrasound in Medicine assembled a multisociety task force to develop a consensus-based, standardized curriculum and competency assessment tools for obstetric and gynecologic ultrasound training in residency programs. The curriculum and competency assessment tools were developed based on existing national and international guidelines for the performance of obstetric and gynecologic ultrasound examinations and thus are intended to represent the minimum requirement for such training. By expert consensus, the curriculum was developed for each year of training, criteria for each competency assessment image were generated, the pass score was established at, or close to, 75% for each, and obtaining a set of 5 ultrasound images with pass score in each was deemed necessary for attaining each competency. Given the current lack of substantial data on competency assessment in ultrasound training, the task force expects that the criteria set forth in this document will evolve with time. The task force also encourages use of ultrasound simulation in residency training and expects that simulation will play a significant part in the curriculum and the competency assessment process. Incorporating this training curriculum and the competency assessment tools may promote consistency in training and competency assessment, thus enhancing the performance and diagnostic accuracy of ultrasound examination in obstetrics and gynecology.

Published
2018

47. First‐TrimesterPrognosis When an Early Gestational Sac is Seen on Ultrasound Imaging

Author

Doubilet, Peter M., Phillips, Catherine H., Durfee, Sara M., and Benson, Carol B.

Abstract

To determine the factors that jointly and independently affect first‐trimester outcome of very early intrauterine pregnancies (those whose sonogram shows a gestational sac with no identifiable yolk sac or embryo) and develop a mathematical model and Web‐based calculator that computes prognosis based on these factors. Our study population included 590 very early pregnancies scanned between January 1, 2012, and June 30, 2018, with known outcomes (live or spontaneous loss) at 14 weeks. We recorded patient age, mean sac diameter (MSD), human chorionic gonadotropin (hCG) rise, and presence/absence of: vaginal bleeding, history of infertility, prior miscarriage, and pregnancy via assisted reproductive technology. We assessed the correlation between each of these factors and outcome and performed stepwise logistic regression to determine the subset that independently correlated with outcome. Patient age, MSD, hCG rise, vaginal bleeding, history of infertility, and assisted reproductive technology pregnancy were significantly correlated with outcome (P< .05, ttest for age and MSD, χ2for the others). Stepwise logistic regression identified age, MSD, hCG rise, and vaginal bleeding as the subset of factors that independently predicted outcome. The regression model's area under the receiver operating characteristic curve was 0.823. We incorporated the regression model into a Web‐based calculator (https://tinyurl.com/Prognosis-PD) that predicts the outcome of an early intrauterine pregnancy based on these 4 key variables. The prognosis of very early intrauterine pregnancies is related to several clinical, biochemical, and sonographic factors. The factors that independently correlate with first‐trimester outcome are patient age, MSD, hCG rise, and vaginal bleeding. The logistic regression model predicts outcome based on these variables. Access the CME test hereand search by article title.

Published
2021
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49. Proceedings: Beyond Ultrasound First Forum on Improving the Quality of Ultrasound Imaging in Obstetrics and Gynecology

Author

Benacerraf, Beryl R., primary, Minton, Katherine K., additional, Benson, Carol B., additional, Bromley, Bryann S., additional, Coley, Brian D., additional, Doubilet, Peter M., additional, Lee, Wesley, additional, Maslak, Samuel H., additional, Pellerito, John S., additional, Perez, James J., additional, Savitsky, Eric, additional, Scarborough, Norman A., additional, Wax, Joseph, additional, and Abuhamad, Alfred Z., additional

Published
2018
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50. Obstetric and Gynecologic Ultrasound Curriculum and Competency Assessment in Residency Training Programs: Consensus Report

Author

Abuhamad, Alfred, primary, Minton, Katherine K., additional, Benson, Carol B., additional, Chudleigh, Trish, additional, Crites, Lori, additional, Doubilet, Peter M., additional, Driggers, Rita, additional, Lee, Wesley, additional, Mann, Karen V., additional, Perez, James J., additional, Rose, Nancy C., additional, Simpson, Lynn L., additional, Tabor, Ann, additional, and Benacerraf, Beryl R., additional

Published
2018
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