Search Results - "Paralkar, Divyangi"

Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison by Kaneko, Masatomo, Medina, Luis G., Lenon, Maria Sarah L., Hemal, Sij, Sayegh, Aref S., Jadvar, Donya S., Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Cacciamani, Giovanni E., Lebastchi, Amir H., Salhia, Bodour, Aron, Manju, Hopstone, Michelle, Duddalwar, Vinay, Palmer, Suzanne L., Gill, Inderbir S., Abreu, Andre Luis

“…The objective of this study was to compare transperineal (TP) versus transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion…”
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Prostatic adenocarcinoma: molecular underpinnings and treatment-related options by Paralkar, Divyangi, Akbari, Amir, Aron, Manju

“…Prostate cancer is heterogeneous with varied pathologic features and presents with a wide spectrum of clinical manifestations from indolent to advanced cancer…”
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Mucinous Borderline Tumors of the Pelvicalyceal System: Report of Two Tumors With Molecular Findings and Review of Literature by Paralkar, Divyangi, Akbari, Amir, Kandukuri, Shivani, Aron, Manju

“…Mucinous borderline tumors of the pelvicalyceal system are exceedingly rare tumors with very little information regarding their clinicopathological…”
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MP25-20 SALVAGE FOCAL THERAPY FOR RADIO-RECURRENT PROSTATE CANCER: ONCOLOGIC CONTROL AND FUNCTIONAL OUTCOMES by Kaneko, Masatomo, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Cacciamani, Giovanni E., Hopstone, Michelle, Aron, Manju, Ukimura, Osamu, Gill, Inderbir S., Abreu, Andre Luis

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MP25-05 IMPACT OF MRI VISIBILITY OF PROSTATE CANCER ON ONCOLOGICAL OUTCOMES IN FOCAL THERAPY by Kaneko, Masatomo, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Peretsman, Samuel, Brooks, Jessica, Cacciamani, Giovanni E., Hopstone, Michelle, Aron, Manju, Ukimura, Osamu, Gill, Inderbir S., Abreu, Andre Luis

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MP49-12 IS PROSTATE CANCER HARBORING CRIBRIFORM PATTERN VISIBLE ON MULTIPARAMETRIC MRI? by Paralkar, Divyangi, Kaneko, Masatomo, Ramacciotti, Lorenzo Storino, Fujihara, Atsuko, Iwata, Tsuyoshi, Sali, Akash, Gupta, Chhavi, Cacciamani, Giovanni, Aron, Manju, Hopstone, Michelle, Gill, Inderbir, Abreu, Andre

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MP49-10 WHO CAN SAFELY AVOID REPEAT PROSTATE BIOPSY FOLLOWING THE DETECTION OF ATYPICAL SMALL ACINAR PROLIFERATION? by Kaneko, Masatomo, Paralkar, Divyangi, Ramacciotti, Lorenzo Storino, Cacciamani, Giovanni E., Aron, Manju, Hopstone, Michelle, Duddalwar, Vinay, Gill, Inderbir S., Abreu, Andre Luis

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MP19-06 PROSPECTIVE EVALUATION OF THE LEARNING CURVE FOR TRANSPERINEAL MRI/TRUS FUSION-GUIDED PROSTATE BIOPSY by Kaneko, Masatomo, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Jadvar, Donya S., Cacciamani, Giovanni E., Desai, Mihir, Aron, Monish, Aron, Manju, Hopstone, Michelle, Gill, Inderbir S., Abreu, Andre Luis

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NKX3.1 Expression in Non-Prostatic Tumors and Characterizing its Expression in Esophageal/Gastroesophageal Adenocarcinoma by Mehreen, Ansa, Manjee, Kiran G, Paralkar, Divyangi, Paner, Gladell P, Lan, Thanh

“…The NKX3.1 immunohistochemical stain is widely recognized as a highly sensitive and specific marker for prostate adenocarcinoma. Nevertheless, its expression…”
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PD30-11 EXTERNAL VALIDATION FOR A FULLY AUTOMATED URINE CYTOLOGY SUPPORT ARTIFICIAL INTELLIGENCE SYSTEM by Kaneko, Masatomo, Harada, Yuki, Tsuji, Keisuke, Paralkar, Divyangi, Fujihara, Atsuko, Ueno, Kengo, Nakanishi, Masaya, Konishi, Eiichi, Takamatsu, Tetsuro, Horiguchi, Go, Teramukai, Satoshi, Ito-Ihara, Toshiko, Abreu, Andre Luis, Ukimura, Osamu

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PD39-12 FOLLOW-UP MODALITIES AFTER FOCAL THERAPY FOR CLINICALLY LOCALIZED PROSTATE CANCER: MRI, CEUS, PSA, AND BIOPSY by Kaneko, Masatomo, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Ghoreifi, Alireza, Peretsman, Samuel, Brooks, Jessica, Cacciamani, Giovanni E., Hopstone, Michelle, Aron, Manju, Ukimura, Osamu, Bahn, Duke, Gill, Inderbir S., Abreu, Andre Luis

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MP05-09 A NOVEL METHOD TO IDENTIFY AGGRESSIVE PROSTATE CANCER WITH DNA-METHYLATION SIGNATURES FROM PROSTATE NEEDLE BIOPSY by Kaneko, Masatomo, Sekino, Yohei, Li, Hongtao, Zhou, Xinyi, Jin, Mingda, Guo, Wei, Yang, Xiaojing, Bhasin, Jeffrey, Fujihara, Atsuko, Iwata, Tsuyoshi, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Cacciamani, Giovanni E., Aron, Manju, Ukimura, Osamu, Gill, Inderbir S., Liang, Gangning, Abreu, Andre Luis

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PD36-11 A NOVEL LIGHTWEIGHT MACHINE LEARNING MODEL FOR AUTOMATED RECLASSIFICATION OF THE INDEX LESION ON BIPARAMETRIC PROSTATE MRI by Cacciamani, Giovanni E., Kaneko, Masatomo, Magoulianitis, Vasileios, Yang, Jiaxin, Yang, Yijing, Xue, Jintang, Liu, Jinyuan, Mohamed, Passant, Hwang, Darryl H., Gill, Karanvir, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Aron, Manju, Duddalwar, Vinay, Palmer, Suzanne L., Jay Kuo, C.-C., Nikias, Chrysostomos L., Gill, Inderbir S., Abreu, Andre Luis

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Comprehensive Assessment of MRI-based Artificial Intelligence Frameworks Performance in the Detection, Segmentation, and Classification of Prostate Lesions Using Open-Source Databases by Ramacciotti, Lorenzo Storino, Hershenhouse, Jacob S., Mokhtar, Daniel, Paralkar, Divyangi, Kaneko, Masatomo, Eppler, Michael, Gill, Karanvir, Mogoulianitis, Vasileios, Duddalwar, Vinay, Abreu, Andre L., Gill, Inderbir, Cacciamani, Giovanni E.

“…Numerous MRI-based artificial intelligence (AI) frameworks have been designed for prostate cancer lesion detection, segmentation, and classification via MRI as…”
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The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging by Kaneko, Masatomo, Magoulianitis, Vasileios, Ramacciotti, Lorenzo Storino, Raman, Alex, Paralkar, Divyangi, Chen, Andrew, Chu, Timothy N., Yang, Yijing, Xue, Jintang, Yang, Jiaxin, Liu, Jinyuan, Jadvar, Donya S., Gill, Karanvir, Cacciamani, Giovanni E., Nikias, Chrysostomos L., Duddalwar, Vinay, Jay Kuo, C.-C., Gill, Inderbir S., Abreu, Andre Luis

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The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging: A Balanced Alternative to Deep Learning and Radiomics by Kaneko, Masatomo, Magoulianitis, Vasileios, Ramacciotti, Lorenzo Storino, Raman, Alex, Paralkar, Divyangi, Chen, Andrew, Chu, Timothy N, Yang, Yijing, Xue, Jintang, Yang, Jiaxin, Liu, Jinyuan, Jadvar, Donya S, Gill, Karanvir, Cacciamani, Giovanni E, Nikias, Chrysostomos L, Duddalwar, Vinay, Jay Kuo, C-C, Gill, Inderbir S, Abreu, Andre Luis

“…The application of artificial intelligence (AI) on prostate magnetic resonance imaging (MRI) has shown promising results. Several AI systems have been…”
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Abstract 3493: Read-level methylation pattern extraction for high-multiplex large-scale targeted NGS assay by Jin, Mingda, Kaneko, Masatomo, Cen, Steven, Li, Hongtao, Guo, Wei, Zhou, Xinyi, Fujihara, Atsuko, Iwata, Tsuyoshi, Ramacciotti, Lorenzo Storino, Paralkar, Divyangi, Cacciamani, Giovanni E, Aron, Manju, Ukimura, Osamu, Gill, Inderbir S., Liang, Gangning, Abreu, Andre L., Bhasin, Jeffrey, Yang, Xiaojing, Jia, Xi-Yu

“…Abstract The abnormal changes in DNA methylation are linked to the early stages of carcinogenesis. Identifying these epigenetic changes in circulating tumor…”
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